JDK update new vacuum controller

build.gradle

@@ -1,5 +1,5 @@
 buildscript {
-    ext.kotlin_version = "1.3.10"
+    ext.kotlin_version = "1.3.50"
     repositories {
         jcenter()
     }
@@ -9,10 +9,15 @@ buildscript {
         classpath "org.jetbrains.kotlin:kotlin-gradle-plugin:$kotlin_version"
     }
 }
+
+plugins{
+    id 'org.openjfx.javafxplugin' version '0.0.8' apply false
+}
+
 allprojects {
     apply plugin: 'idea'
     apply plugin: 'java'
-    apply plugin: "kotlin"
+    apply plugin: "org.jetbrains.kotlin.jvm"
 
     group = 'inr.numass'
     version = '1.0.0'
@@ -33,8 +38,6 @@ allprojects {
         testImplementation group: 'junit', name: 'junit', version: '4.+'
     }
 
-
-
     compileKotlin {
         kotlinOptions {
             jvmTarget = "1.8"

gradle/wrapper/gradle-wrapper.properties

@@ -1,6 +1,5 @@
-#Fri Jun 16 20:54:50 MSK 2017
 distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-6.0-bin.zip
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-3.5.0-bin.zip

gradlew

@@ -1,5 +1,21 @@
 #!/usr/bin/env sh
 
+#
+# Copyright 2015 the original author or authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
 ##############################################################################
 ##
 ##  Gradle start up script for UN*X
@@ -28,16 +44,16 @@ APP_NAME="Gradle"
 APP_BASE_NAME=`basename "$0"`
 
 # Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
-DEFAULT_JVM_OPTS=""
+DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
 
 # Use the maximum available, or set MAX_FD != -1 to use that value.
 MAX_FD="maximum"
 
-warn ( ) {
+warn () {
     echo "$*"
 }
 
-die ( ) {
+die () {
     echo
     echo "$*"
     echo
@@ -109,8 +125,8 @@ if $darwin; then
     GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
 fi
 
-# For Cygwin, switch paths to Windows format before running java
-if $cygwin ; then
+# For Cygwin or MSYS, switch paths to Windows format before running java
+if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
     APP_HOME=`cygpath --path --mixed "$APP_HOME"`
     CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
     JAVACMD=`cygpath --unix "$JAVACMD"`
@@ -138,35 +154,30 @@ if $cygwin ; then
         else
             eval `echo args$i`="\"$arg\""
         fi
-        i=$((i+1))
+        i=`expr $i + 1`
     done
     case $i in
-        (0) set -- ;;
-        (1) set -- "$args0" ;;
-        (2) set -- "$args0" "$args1" ;;
-        (3) set -- "$args0" "$args1" "$args2" ;;
-        (4) set -- "$args0" "$args1" "$args2" "$args3" ;;
-        (5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
-        (6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
-        (7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
-        (8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
-        (9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
+        0) set -- ;;
+        1) set -- "$args0" ;;
+        2) set -- "$args0" "$args1" ;;
+        3) set -- "$args0" "$args1" "$args2" ;;
+        4) set -- "$args0" "$args1" "$args2" "$args3" ;;
+        5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
+        6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
+        7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
+        8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
+        9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
     esac
 fi
 
 # Escape application args
-save ( ) {
+save () {
     for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
     echo " "
 }
-APP_ARGS=$(save "$@")
+APP_ARGS=`save "$@"`
 
 # Collect all arguments for the java command, following the shell quoting and substitution rules
 eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
 
-# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong
-if [ "$(uname)" = "Darwin" ] && [ "$HOME" = "$PWD" ]; then
-  cd "$(dirname "$0")"
-fi
-
 exec "$JAVACMD" "$@"

gradlew.bat

@@ -1,3 +1,19 @@
+@rem
+@rem Copyright 2015 the original author or authors.
+@rem
+@rem Licensed under the Apache License, Version 2.0 (the "License");
+@rem you may not use this file except in compliance with the License.
+@rem You may obtain a copy of the License at
+@rem
+@rem      https://www.apache.org/licenses/LICENSE-2.0
+@rem
+@rem Unless required by applicable law or agreed to in writing, software
+@rem distributed under the License is distributed on an "AS IS" BASIS,
+@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+@rem See the License for the specific language governing permissions and
+@rem limitations under the License.
+@rem
+
 @if "%DEBUG%" == "" @echo off
 @rem ##########################################################################
 @rem
@@ -14,7 +30,7 @@ set APP_BASE_NAME=%~n0
 set APP_HOME=%DIRNAME%
 
 @rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
-set DEFAULT_JVM_OPTS=
+set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
 
 @rem Find java.exe
 if defined JAVA_HOME goto findJavaFromJavaHome

numass-control/build.gradle

@@ -1,6 +1,12 @@
 allprojects {
     apply plugin: "kotlin"
 
+//    apply plugin: 'org.openjfx.javafxplugin'
+//
+//    javafx {
+//        modules = [ 'javafx.controls' ]
+//    }
+
     compileKotlin {
         kotlinOptions {
             jvmTarget = "1.8"

numass-control/cryotemp/src/main/kotlin/inr/numass/control/cryotemp/PKT8VirtualPort.kt

@@ -18,12 +18,9 @@ import java.util.function.Supplier
 /**
  * @author Alexander Nozik
  */
-class PKT8VirtualPort(private val portName: String, meta: Meta) : VirtualPort(meta), Metoid {
-
+class PKT8VirtualPort(override val name: String, meta: Meta) : VirtualPort(meta), Metoid {
     private val generator = Random()
 
-    override val name: String = portName
-
     @Synchronized override fun evaluateRequest(request: String) {
         when (request) {
             "s" -> {
@@ -59,6 +56,11 @@ class PKT8VirtualPort(private val portName: String, meta: Meta) : VirtualPort(me
         }
     }
 
+    override fun toMeta(): Meta {
+        TODO("not implemented") //To change body of created functions use File | Settings | File Templates.
+    }
+
+
     @Throws(Exception::class)
     override fun close() {
         cancelByTag("measurement")

numass-control/gun/build.gradle

@@ -1,26 +1,15 @@
-/*
- * Copyright  2018 Alexander Nozik.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *      
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS,
- *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- *  See the License for the specific language governing permissions and
- *  limitations under the License.
- */
+//
+//plugins {
+//    id 'application'
+//    id 'org.openjfx.javafxplugin' version '0.0.5'
+//}
+//
+//javafx {
+//    modules = [ 'javafx.controls' ]
+//}
 
 plugins {
     id 'application'
-    id 'org.openjfx.javafxplugin' version '0.0.5'
-}
-
-javafx {
-    modules = [ 'javafx.controls' ]
 }
 
 version = "0.1.0"

numass-control/magnet/src/main/kotlin/inr/numass/control/magnet/LambdaPortController.kt

@@ -9,11 +9,9 @@ import java.text.DecimalFormat
 import java.time.Duration
 
 //@ValueDef(name = "timeout", type = [(ValueType.NUMBER)], def = "400", info = "A timeout for port response")
-class LambdaPortController(context: Context, port: Port) : GenericPortController(context, port, "\r") {
+class LambdaPortController(context: Context, port: Port, val timeout : Duration = Duration.ofMillis(200)) : GenericPortController(context, port, "\r") {
     private var currentAddress: Int = -1;
 
-    private val timeout: Duration = port.meta.optString("timeout").map<Duration> { Duration.parse(it) }.orElse(Duration.ofMillis(200))
-
     fun setAddress(address: Int) {
         if(currentAddress!= address) {
             val response = sendAndWait("ADR $address\r", timeout) { true }.trim()

numass-control/magnet/src/main/kotlin/inr/numass/control/magnet/VirtualLambdaPort.kt

@@ -27,7 +27,6 @@ import java.util.*
  * @author Alexander Nozik
  */
 class VirtualLambdaPort(meta: Meta) : VirtualPort(meta) {
-
     var currentAddress = -1
         private set
 
@@ -135,6 +134,11 @@ class VirtualLambdaPort(meta: Meta) : VirtualPort(meta) {
         val voltage get() = current * resistance
     }
 
+    override fun toMeta(): Meta {
+        TODO("not implemented") //To change body of created functions use File | Settings | File Templates.
+    }
+
+
     companion object {
         private val latency = Duration.ofMillis(50)
     }

numass-control/src/main/kotlin/inr/numass/control/DeviceDisplayFX.kt

@@ -122,6 +122,7 @@ abstract class DeviceDisplayFX<D : Device> : Component(), Connection {
  * Default display shows only board pane and nothing else
  */
 class DefaultDisplay : DeviceDisplayFX<Device>() {
+
     override fun buildView(device: Device): UIComponent? = null
 }
 

numass-control/vac/build.gradle

@@ -1,6 +1,6 @@
 apply plugin: 'application'
 
-version = "0.5.0"
+version = "0.6.0"
 
 if (!hasProperty('mainClass')) {
     ext.mainClass = 'inr.numass.control.readvac.ReadVac'

numass-control/vac/src/main/kotlin/inr/numass/control/readvac/MKSBaratronDevice.kt

@@ -27,10 +27,7 @@ class MKSBaratronDevice(context: Context, meta: Meta) : PortSensor(context, meta
 
     var channel by valueState("channel").intDelegate
 
-    override val type: String
-        get() {
-            return meta.getString("type", "numass.vac.baratron")
-        }
+    override val type: String get() = meta.getString("type", "numass.vac.baratron")
 
     override fun buildConnection(meta: Meta): GenericPortController {
         val port: Port = PortFactory.build(meta)

numass-control/vac/src/main/kotlin/inr/numass/control/readvac/ReadVac.kt

@@ -22,7 +22,11 @@ class ReadVac : NumassControlApplication<VacCollectorDevice>() {
     }
 
     override fun getDeviceMeta(config: Meta): Meta {
-        return MetaUtils.findNode(config,"device"){it.getString("name") == "numass.vac"}.orElseThrow{RuntimeException("Vacuum measurement configuration not found")}
+        return MetaUtils.findNode(config, "device") {
+            it.getString("type") == "numass:vac"
+        }.orElseThrow {
+            RuntimeException("Vacuum measurement configuration not found")
+        }
     }
 }
 

numass-control/vac/src/main/kotlin/inr/numass/control/readvac/ThyroContVacDevice.kt

@@ -0,0 +1,66 @@
+package inr.numass.control.readvac
+
+import hep.dataforge.context.Context
+import hep.dataforge.control.devices.PortSensor
+import hep.dataforge.control.ports.GenericPortController
+import hep.dataforge.control.ports.Port
+import hep.dataforge.control.ports.PortFactory
+import hep.dataforge.meta.Meta
+import inr.numass.control.DeviceView
+
+//@ValueDef(key = "address")
+@DeviceView(VacDisplay::class)
+//@StateDef(value = ValueDef(key = "address", type = [ValueType.STRING], def = "001"))
+class ThyroContVacDevice(context: Context, meta: Meta) : PortSensor(context, meta) {
+    //val address by valueState("address").stringDelegate
+    val address = "001"
+
+    override val type: String get() = meta.getString("type", "numass.vac.thyrocont")
+
+    override fun buildConnection(meta: Meta): GenericPortController {
+        val port: Port = PortFactory.build(meta)
+        logger.info("Connecting to port {}", port.name)
+        return GenericPortController(context, port) { it.endsWith("\r") }
+    }
+
+    private fun String.checksum(): Char = (sumBy { it.toInt() } % 64 + 64).toChar()
+
+    private fun wrap(str: String): String = buildString {
+        append(str)
+        append(str.checksum())
+        append('\r')
+    }
+
+    override fun startMeasurement(oldMeta: Meta?, newMeta: Meta) {
+        measurement {
+            val request = wrap("0010MV00")
+            val answer = sendAndWait(request)
+            if (answer.isEmpty()) {
+                updateState(CONNECTED_STATE, false)
+                notifyError("No connection")
+            } else {
+                updateState(CONNECTED_STATE, true)
+            }
+            try {
+
+                val address = answer.substring(0..2)
+                //if wrong answer
+                if (address != this.address) {
+                    logger.warn("Expected response for address ${this.address}, bur received for $address")
+                    notifyError("Wrong response address")
+                    return@measurement
+                }
+                val dataSize = answer.substring(6..7).toInt()
+                val data = answer.substring(8, 8 + dataSize).toDouble()
+                if (data <= 0) {
+                    notifyError("Non positive")
+                } else {
+                    notifyResult(data)
+                }
+            } catch (ex: Exception) {
+                logger.error("Parsing error", ex)
+                notifyError("Parse error")
+            }
+        }
+    }
+}

numass-control/vac/src/main/kotlin/inr/numass/control/readvac/VacCollectorDevice.kt

@@ -48,16 +48,17 @@ class VacCollectorDevice(context: Context, meta: Meta, val sensors: Collection<S
     private val helper = StorageHelper(this, this::buildLoader)
 
     private val collector = object : DeviceListener {
-        override fun notifyStateChanged(device: Device, name: String, state: Any) {
-            if (name == MEASUREMENT_RESULT_STATE) {
-                collector.put(device.name, (state as Meta).getValue("value"))
-            }
-        }
-
         val averagingDuration: Duration = Duration.parse(meta.getString("averagingDuration", "PT30S"))
+
         private val collector = RegularPointCollector(averagingDuration) {
             notifyResult(it)
         }
+
+        override fun notifyStateChanged(device: Device, name: String, state: Any) {
+            if (name == MEASUREMENT_RESULT_STATE) {
+                collector.put(device.name, (state as Meta).getValue(RESULT_VALUE))
+            }
+        }
     }
 
 
@@ -69,10 +70,11 @@ class VacCollectorDevice(context: Context, meta: Meta, val sensors: Collection<S
 
 
     override fun init() {
-        super.init()
         for (s in sensors) {
             s.init()
+            s.connect(collector, Roles.DEVICE_LISTENER_ROLE)
         }
+        super.init()
     }
 
     override val type: String

numass-control/vac/src/main/kotlin/inr/numass/control/readvac/VacCollectorDisplay.kt

@@ -5,13 +5,13 @@
  */
 package inr.numass.control.readvac
 
-import hep.dataforge.connections.Connection
 import hep.dataforge.control.connections.Roles
+import hep.dataforge.control.devices.Device
+import hep.dataforge.control.devices.DeviceListener
 import hep.dataforge.control.devices.Sensor
-import hep.dataforge.control.measurements.Measurement
-import hep.dataforge.control.measurements.MeasurementListener
 import hep.dataforge.fx.bindWindow
 import hep.dataforge.fx.fragments.LogFragment
+import hep.dataforge.meta.Meta
 import hep.dataforge.plots.PlotGroup
 import hep.dataforge.plots.data.TimePlot
 import hep.dataforge.values.Value
@@ -24,7 +24,6 @@ import javafx.geometry.Orientation
 import javafx.scene.control.ScrollPane
 import javafx.scene.layout.Priority
 import tornadofx.*
-import java.time.Instant
 
 /**
  * A view controller for Vac collector
@@ -35,16 +34,13 @@ class VacCollectorDisplay : DeviceDisplayFX<VacCollectorDevice>() {
 
     private val table = FXCollections.observableHashMap<String, Double>()
 
-    private val sensorConnection = object : MeasurementListener, Connection {
-        override fun onMeasurementResult(measurement: Measurement<*>, result: Any, time: Instant?) {
-            if (result is Double) {
-                table.put(measurement.device.name, result);
+    private val sensorConnection = object : DeviceListener {
+
+        override fun notifyStateChanged(device: Device, name: String, state: Any) {
+            if (name == Sensor.MEASUREMENT_RESULT_STATE) {
+                table[device.name] = (state as Meta).getDouble(Sensor.RESULT_VALUE)
             }
         }
-
-        override fun onMeasurementFailed(measurement: Measurement<*>?, exception: Throwable?) {
-
-        }
     }
 
     private val viewList = FXCollections.observableArrayList<VacDisplay>();
@@ -58,7 +54,7 @@ class VacCollectorDisplay : DeviceDisplayFX<VacCollectorDevice>() {
         device.sensors.forEach { sensor ->
             val view = VacDisplay()
             sensor.connect(view, Roles.VIEW_ROLE, Roles.DEVICE_LISTENER_ROLE)
-            sensor.connect(sensorConnection, Roles.MEASUREMENT_LISTENER_ROLE);
+            sensor.connect(sensorConnection, Roles.DEVICE_LISTENER_ROLE)
             viewList.add(view)
         }
     }

numass-control/vac/src/main/kotlin/inr/numass/control/readvac/VacDeviceFactory.kt

@@ -19,6 +19,7 @@ class VacDeviceFactory : DeviceFactory {
             "CM32" -> CM32Device(context, sensorConfig)
             "meradat" -> MeradatVacDevice(context, sensorConfig)
             "baratron" -> MKSBaratronDevice(context, sensorConfig)
+            "ThyroCont" -> ThyroContVacDevice(context,sensorConfig)
 //            VIRTUAL_SENSOR_TYPE -> VirtualDevice.randomDoubleSensor(context, sensorConfig)
             else -> throw RuntimeException("Unknown vacuum sensor type")
         }

numass-control/vac/src/main/kotlin/inr/numass/control/readvac/test.kt

@@ -0,0 +1,20 @@
+package inr.numass.control.readvac
+
+import hep.dataforge.context.Global
+import hep.dataforge.meta.buildMeta
+import kotlinx.coroutines.delay
+
+suspend fun main() {
+    val meta = buildMeta {
+        "name" to "PSP"
+        "port" to "tcp::192.168.111.32:4001"
+        "sensorType" to "ThyroCont"
+    }
+    val device = ThyroContVacDevice(Global, meta)
+    device.measure()
+    device.connected.set(true)
+    delay(400)
+    println(device.result)
+    device.connected.set(false)
+
+}

numass-control/vac/src/main/resources/config/devices.xml

@@ -8,5 +8,6 @@
         <sensor name="Px" color="black" port="tcp::192.168.111.33:4003" sensorType="meradat" address="1"/>
         <sensor name="Baratron" color="cyan" port="tcp::192.168.111.33:4004" sensorType="baratron"/>
         <sensor name="Collector" color="magenta" port="tcp::192.168.111.33:4003" sensorType="meradat" address="2"/>
+        <sensor name="PSP" port="tcp::192.168.111.32:4001" sensorType="ThyroCont" address="001"/>
     </device>
 </config>

numass-core/numass-data-api/src/main/kotlin/inr/numass/data/api/MetaBlock.kt

@@ -26,6 +26,9 @@ class MetaBlock(override val blocks: List<NumassBlock>) : ParentBlock {
     override val length: Duration
         get() = Duration.ofNanos(blocks.stream().mapToLong { block -> block.length.toNanos() }.sum())
 
+    /**
+     * A stream of events, sorted by block time but not sorted by event time
+     */
     override val events: Stream<NumassEvent>
         get() = blocks.sortedBy { it.startTime }.stream().flatMap { it.events }
 

numass-core/numass-data-api/src/main/kotlin/inr/numass/data/api/NumassBlock.kt

@@ -28,6 +28,12 @@ open class OrphanNumassEvent(val amplitude: Short, val timeOffset: Long) : Seria
     override fun compareTo(other: OrphanNumassEvent): Int {
         return this.timeOffset.compareTo(other.timeOffset)
     }
+
+    override fun toString(): String {
+        return "[$amplitude, $timeOffset]"
+    }
+
+
 }
 
 /**

numass-core/numass-data-api/src/main/kotlin/inr/numass/data/api/NumassFrame.kt

@@ -9,18 +9,19 @@ import java.time.Instant
  * Created by darksnake on 06-Jul-17.
  */
 class NumassFrame(
-        /**
-         * The absolute start time of the frame
-         */
-        val time: Instant,
-        /**
-         * The time interval per tick
-         */
-        val tickSize: Duration,
-        /**
-         * The buffered signal shape in ticks
-         */
-        val signal: ShortBuffer) {
+    /**
+     * The absolute start time of the frame
+     */
+    val time: Instant,
+    /**
+     * The time interval per tick
+     */
+    val tickSize: Duration,
+    /**
+     * The buffered signal shape in ticks
+     */
+    val signal: ShortBuffer
+) {
 
     val length: Duration
         get() = tickSize.multipliedBy(signal.capacity().toLong())

numass-core/numass-data-api/src/main/kotlin/inr/numass/data/api/SignalProcessor.kt

@@ -7,5 +7,5 @@ import java.util.stream.Stream
  * Created by darksnake on 07.07.2017.
  */
 interface SignalProcessor {
-    fun analyze(frame: NumassFrame): Stream<NumassEvent>
+    fun process(parent: NumassBlock, frame: NumassFrame): Stream<NumassEvent>
 }

numass-core/numass-data-api/src/main/kotlin/inr/numass/data/api/SimpleNumassPoint.kt

@@ -1,27 +1,30 @@
 package inr.numass.data.api
 
 import hep.dataforge.meta.Meta
-import hep.dataforge.meta.MetaBuilder
 import hep.dataforge.meta.MetaHolder
+import hep.dataforge.meta.buildMeta
 
 /**
  * A simple static implementation of NumassPoint
  * Created by darksnake on 08.07.2017.
  */
-class SimpleNumassPoint(override val blocks: List<NumassBlock>, meta: Meta, override val isSequential: Boolean = true) : MetaHolder(meta), NumassPoint {
-
-    /**
-     * Input blocks must be sorted
-     * @param voltage
-     * @param blocks
-     */
-    constructor(blocks: Collection<NumassBlock>, voltage: Double) :
-            this(blocks.sortedBy { it.startTime }, MetaBuilder("point").setValue(NumassPoint.HV_KEY, voltage))
+class SimpleNumassPoint(override val blocks: List<NumassBlock>, meta: Meta, override val isSequential: Boolean = true) :
+    MetaHolder(meta), NumassPoint {
 
     init {
-        if(blocks.isEmpty()){
+        if (blocks.isEmpty()) {
             throw IllegalArgumentException("No blocks in collection")
         }
     }
 
+    companion object {
+        fun build(blocks: Collection<NumassBlock>, voltage: Double? = null, index: Int? = null): SimpleNumassPoint {
+            val meta = buildMeta("point") {
+                NumassPoint.HV_KEY to voltage
+                NumassPoint.INDEX_KEY to index
+            }
+            return SimpleNumassPoint(blocks.sortedBy { it.startTime }, meta.build())
+        }
+    }
+
 }

numass-core/numass-data-proto/build.gradle.kts

@@ -1,4 +1,3 @@
-import com.google.protobuf.gradle.GenerateProtoTask
 import com.google.protobuf.gradle.protobuf
 import com.google.protobuf.gradle.protoc
 import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
@@ -6,7 +5,7 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
 plugins {
     idea
     kotlin("jvm")
-    id("com.google.protobuf") version  "0.8.7"
+    id("com.google.protobuf") version "0.8.8"
 }
 
 
@@ -26,13 +25,13 @@ tasks.withType<KotlinCompile> {
     dependsOn(":numass-core:numass-data-proto:generateProto")
 }
 
-sourceSets{
-    create("proto"){
-        proto {
-            srcDir("src/main/proto")
-        }
-    }
-}
+//sourceSets {
+//    create("proto") {
+//        proto {
+//            srcDir("src/main/proto")
+//        }
+//    }
+//}
 
 protobuf {
     // Configure the protoc executable

numass-core/numass-data-proto/src/main/kotlin/inr/numass/data/ProtoNumassPoint.kt

@@ -29,7 +29,6 @@ import java.time.Instant
 import java.util.stream.IntStream
 import java.util.stream.Stream
 import java.util.zip.Inflater
-import kotlin.streams.toList
 
 /**
  * Protobuf based numass point
@@ -42,11 +41,11 @@ class ProtoNumassPoint(override val meta: Meta, val protoBuilder: () -> NumassPr
 
     override val blocks: List<NumassBlock>
         get() = proto.channelsList
-                .flatMap { channel ->
-                    channel.blocksList
-                            .map { block -> ProtoBlock(channel.id.toInt(), block, this) }
-                            .sortedBy { it.startTime }
-                }
+            .flatMap { channel ->
+                channel.blocksList
+                    .map { block -> ProtoBlock(channel.id.toInt(), block, this) }
+                    .sortedBy { it.startTime }
+            }
 
     override val channels: Map<Int, NumassBlock>
         get() = proto.channelsList.groupBy { it.id.toInt() }.mapValues { entry ->
@@ -127,7 +126,11 @@ class ProtoNumassPoint(override val meta: Meta, val protoBuilder: () -> NumassPr
     }
 }
 
-class ProtoBlock(override val channel: Int, private val block: NumassProto.Point.Channel.Block, val parent: NumassPoint? = null) : NumassBlock {
+class ProtoBlock(
+    override val channel: Int,
+    private val block: NumassProto.Point.Channel.Block,
+    val parent: NumassPoint? = null
+) : NumassBlock {
 
     override val startTime: Instant
         get() = ProtoNumassPoint.ofEpochNanos(block.time)
@@ -136,11 +139,15 @@ class ProtoBlock(override val channel: Int, private val block: NumassProto.Point
         block.length > 0 -> Duration.ofNanos(block.length)
         parent?.meta?.hasValue("acquisition_time") ?: false ->
             Duration.ofMillis((parent!!.meta.getDouble("acquisition_time") * 1000).toLong())
+        parent?.meta?.hasValue("params.b_size") ?: false ->
+            Duration.ofNanos((parent!!.meta.getDouble("params.b_size") * 320).toLong())
         else -> {
-            LoggerFactory.getLogger(javaClass).error("No length information on block. Trying to infer from first and last events")
-            val times = events.map { it.timeOffset }.toList()
-            val nanos = (times.max()!! - times.min()!!)
-            Duration.ofNanos(nanos)
+            error("No length information on block")
+//            LoggerFactory.getLogger(javaClass).warn("No length information on block. Trying to infer from first and last events")
+//            val times = events.map { it.timeOffset }.toList()
+//            val nanos = (times.max()!! - times.min()!!)
+//            Duration.ofNanos(nanos)
+//            Duration.ofMillis(380)
         }
     }
 
@@ -148,9 +155,11 @@ class ProtoBlock(override val channel: Int, private val block: NumassProto.Point
         get() = if (block.hasEvents()) {
             val events = block.events
             if (events.timesCount != events.amplitudesCount) {
-                LoggerFactory.getLogger(javaClass).error("The block is broken. Number of times is ${events.timesCount} and number of amplitudes is ${events.amplitudesCount}")
+                LoggerFactory.getLogger(javaClass)
+                    .error("The block is broken. Number of times is ${events.timesCount} and number of amplitudes is ${events.amplitudesCount}")
             }
-            IntStream.range(0, events.timesCount).mapToObj { i -> NumassEvent(events.getAmplitudes(i).toShort(), events.getTimes(i), this) }
+            IntStream.range(0, events.timesCount)
+                .mapToObj { i -> NumassEvent(events.getAmplitudes(i).toShort(), events.getTimes(i), this) }
         } else {
             Stream.empty()
         }

numass-core/numass-signal-processing/build.gradle.kts

@@ -0,0 +1,20 @@
+plugins {
+    idea
+    kotlin("jvm")
+}
+
+
+repositories {
+    mavenLocal()
+    mavenCentral()
+}
+
+dependencies {
+    compile(kotlin("stdlib-jdk8"))
+    compile("hep.dataforge:dataforge-maths")
+    compile(project(":numass-core:numass-data-api"))
+
+    // https://mvnrepository.com/artifact/org.apache.commons/commons-collections4
+    compile(group = "org.apache.commons", name = "commons-collections4", version = "4.3")
+
+}

numass-core/numass-signal-processing/src/main/kotlin/inr/numass/data/ChernovProcessor.kt

@@ -0,0 +1,100 @@
+package inr.numass.data
+
+import inr.numass.data.api.*
+import org.apache.commons.collections4.queue.CircularFifoQueue
+import org.apache.commons.math3.fitting.PolynomialCurveFitter
+import org.apache.commons.math3.fitting.WeightedObservedPoint
+import org.slf4j.LoggerFactory
+import java.nio.ShortBuffer
+import java.util.stream.Stream
+import kotlin.streams.asStream
+
+
+private fun ShortBuffer.clone(): ShortBuffer {
+    val clone = ShortBuffer.allocate(capacity())
+    rewind()//copy from the beginning
+    clone.put(this)
+    rewind()
+    clone.flip()
+    return clone
+}
+
+
+class ChernovProcessor(
+    val threshold: Short,
+    val signalRange: IntRange,
+    val tickSize: Int = 320,
+    val signal: (Double) -> Double
+) : SignalProcessor {
+
+    private val fitter = PolynomialCurveFitter.create(2)
+
+    private val signalMax = signal(0.0)
+
+    /**
+     * position an amplitude of peak relative to buffer end (negative)
+     */
+    private fun CircularFifoQueue<Short>.findMax(): Pair<Double, Double> {
+        val data = this.mapIndexed { index, value ->
+            WeightedObservedPoint(
+                1.0,
+                index.toDouble() - size + 1, // final point in zero
+                value.toDouble()
+            )
+        }
+        val (c, b, a) = fitter.fit(data)
+        if (a > 0) error("Minimum!")
+        val x = -b / 2 / a
+        val y = -(b * b - 4 * a * c) / 4 / a
+        return x to y
+    }
+
+    fun processBuffer(buffer: ShortBuffer): Sequence<OrphanNumassEvent> {
+
+        val ringBuffer = CircularFifoQueue<Short>(5)
+
+        fun roll() {
+            ringBuffer.add(buffer.get())
+        }
+
+        return sequence<OrphanNumassEvent> {
+            while (buffer.remaining() > 1) {
+                roll()
+                if (ringBuffer.isAtFullCapacity) {
+                    if (ringBuffer.all { it > threshold && it <= ringBuffer[2] }) {
+                        //Found bending, evaluating event
+                        //TODO check end of frame
+                        try {
+                            val (pos, amp) = ringBuffer.findMax()
+
+                            val timeInTicks = (pos + buffer.position() - 1)
+
+                            val event = OrphanNumassEvent(amp.toShort(), (timeInTicks * tickSize).toLong())
+                            yield(event)
+
+                            //subtracting event from buffer copy
+                            for (x in (signalRange.first + timeInTicks.toInt())..(signalRange.endInclusive + timeInTicks.toInt())) {
+                                //TODO check all roundings
+                                if (x >= 0 && x < buffer.limit()) {
+                                    val oldValue = buffer.get(x)
+                                    val newValue = oldValue - amp * signal(x - timeInTicks) / signalMax
+                                    buffer.put(x, newValue.toShort())
+                                }
+                            }
+                            println(buffer.array().joinToString())
+                        } catch (ex: Exception) {
+                            LoggerFactory.getLogger(javaClass).error("Something went wrong", ex)
+                        }
+                        roll()
+                    }
+                }
+            }
+        }
+    }
+
+    override fun process(parent: NumassBlock, frame: NumassFrame): Stream<NumassEvent> {
+        val buffer = frame.signal.clone()
+        return processBuffer(buffer).map { it.adopt(parent) }.asStream()
+    }
+}
+

numass-core/numass-signal-processing/src/test/kotlin/inr/numass/data/ChernovProcessorTest.kt

@@ -0,0 +1,26 @@
+package inr.numass.data
+
+import org.apache.commons.math3.analysis.function.Gaussian
+import org.junit.Assert.assertTrue
+import org.junit.Test
+import java.nio.ShortBuffer
+
+class ChernovProcessorTest {
+    val gaussian = Gaussian(1000.0, 0.0, 3.0)
+    val processor = ChernovProcessor(10, -12..12, tickSize = 100) { gaussian.value(it) }
+
+    val events = mapOf<Double, Double>(10.0 to 1.0, 16.0 to 0.5)
+
+    val buffer = ShortArray(40) { i ->
+        events.entries.sumByDouble { (pos, amp) -> amp * gaussian.value(pos - i.toDouble()) }.toShort()
+    }
+
+    @Test
+    fun testPeaks() {
+        println(buffer.joinToString())
+        val peaks = processor.processBuffer(ShortBuffer.wrap(buffer)).toList()
+        assertTrue(peaks.isNotEmpty())
+        println(peaks.joinToString())
+    }
+
+}

numass-core/src/main/kotlin/inr/numass/data/NumassDataUtils.kt

@@ -21,9 +21,8 @@ import hep.dataforge.meta.Meta
 import hep.dataforge.meta.MetaBuilder
 import inr.numass.data.api.*
 import inr.numass.data.storage.ClassicNumassPoint
-import java.util.stream.Collectors
+import org.slf4j.LoggerFactory
 import kotlin.streams.asSequence
-import kotlin.streams.toList
 
 
 /**
@@ -35,10 +34,8 @@ object NumassDataUtils {
             override suspend fun getHvData() = TODO()
 
             override val points: List<NumassPoint> by lazy {
-                val points = sets.stream().flatMap<NumassPoint> { it.points.stream() }
-                        .collect(Collectors.groupingBy<NumassPoint, Double> { it.voltage })
-                points.entries.stream().map { entry -> SimpleNumassPoint(entry.value, entry.key) }
-                        .toList()
+                val points = sets.flatMap { it.points }.groupBy { it.voltage }
+                return@lazy points.entries.map { entry -> SimpleNumassPoint.build(entry.value, entry.key) }
             }
 
             override val meta: Meta by lazy {
@@ -51,6 +48,35 @@ object NumassDataUtils {
         }
     }
 
+    fun joinByIndex(setName: String, sets: Collection<NumassSet>): NumassSet {
+        return object : NumassSet {
+            override suspend fun getHvData() = TODO()
+
+            override val points: List<NumassPoint> by lazy {
+                val points = sets.flatMap { it.points }.groupBy { it.index }
+                return@lazy points.mapNotNull { (index, points) ->
+                    val voltage = points.first().voltage
+                    if (!points.all { it.voltage == voltage }) {
+                        LoggerFactory.getLogger(javaClass)
+                            .warn("Not all points with index $index have voltage $voltage")
+                        null
+                    } else {
+                        SimpleNumassPoint.build(points, voltage, index)
+                    }
+                }
+            }
+
+            override val meta: Meta by lazy {
+                val metaBuilder = MetaBuilder()
+                sets.forEach { set -> metaBuilder.putNode(set.name, set.meta) }
+                metaBuilder
+            }
+
+            override val name = setName
+        }
+    }
+
+
     fun adapter(): SpectrumAdapter {
         return SpectrumAdapter("Uset", "CR", "CRerr", "Time")
     }
@@ -67,18 +93,18 @@ object NumassDataUtils {
 suspend fun NumassBlock.transformChain(transform: (NumassEvent, NumassEvent) -> Pair<Short, Long>?): NumassBlock {
     return SimpleBlock.produce(this.startTime, this.length) {
         this.events.asSequence()
-                .sortedBy { it.timeOffset }
-                .zipWithNext(transform)
-                .filterNotNull()
-                .map { OrphanNumassEvent(it.first, it.second) }.asIterable()
+            .sortedBy { it.timeOffset }
+            .zipWithNext(transform)
+            .filterNotNull()
+            .map { OrphanNumassEvent(it.first, it.second) }.asIterable()
     }
 }
 
 suspend fun NumassBlock.filterChain(condition: (NumassEvent, NumassEvent) -> Boolean): NumassBlock {
     return SimpleBlock.produce(this.startTime, this.length) {
         this.events.asSequence()
-                .sortedBy { it.timeOffset }
-                .zipWithNext().filter { condition.invoke(it.first, it.second) }.map { it.second }.asIterable()
+            .sortedBy { it.timeOffset }
+            .zipWithNext().filter { condition.invoke(it.first, it.second) }.map { it.second }.asIterable()
     }
 }
 
@@ -91,7 +117,7 @@ suspend fun NumassBlock.filter(condition: (NumassEvent) -> Boolean): NumassBlock
 suspend fun NumassBlock.transform(transform: (NumassEvent) -> OrphanNumassEvent): NumassBlock {
     return SimpleBlock.produce(this.startTime, this.length) {
         this.events.asSequence()
-                .map { transform(it) }
-                .asIterable()
+            .map { transform(it) }
+            .asIterable()
     }
 }

numass-core/src/main/kotlin/inr/numass/data/analyzers/AbstractAnalyzer.kt

@@ -22,18 +22,19 @@ import hep.dataforge.tables.ListTable
 import hep.dataforge.tables.Table
 import hep.dataforge.tables.TableFormat
 import hep.dataforge.tables.TableFormatBuilder
+import hep.dataforge.toList
 import inr.numass.data.api.NumassBlock
 import inr.numass.data.api.NumassEvent
 import inr.numass.data.api.NumassPoint.Companion.HV_KEY
 import inr.numass.data.api.NumassSet
 import inr.numass.data.api.SignalProcessor
-import java.lang.IllegalArgumentException
 import java.util.stream.Stream
 
 /**
  * Created by darksnake on 11.07.2017.
  */
-abstract class AbstractAnalyzer @JvmOverloads constructor(private val processor: SignalProcessor? = null) : NumassAnalyzer {
+abstract class AbstractAnalyzer @JvmOverloads constructor(private val processor: SignalProcessor? = null) :
+    NumassAnalyzer {
 
     /**
      * Return unsorted stream of events including events from frames.
@@ -43,22 +44,24 @@ abstract class AbstractAnalyzer @JvmOverloads constructor(private val processor:
      * @param block
      * @return
      */
-    override fun getEvents(block: NumassBlock, meta: Meta): Stream<NumassEvent> {
-        val loChannel = meta.getInt("window.lo", 0)
-        val upChannel = meta.getInt("window.up", Integer.MAX_VALUE)
-        //        if (meta.getBoolean("sort", false)) {
-//            res = res.sorted(compareBy { it.timeOffset })
-//        }
+    override fun getEvents(block: NumassBlock, meta: Meta): List<NumassEvent> {
+        val range = meta.getRange()
         return getAllEvents(block).filter { event ->
-            event.amplitude.toInt() in loChannel..(upChannel - 1)
-        }
+            event.amplitude.toInt() in range
+        }.toList()
+    }
+
+    protected fun Meta.getRange(): IntRange {
+        val loChannel = getInt("window.lo", 0)
+        val upChannel = getInt("window.up", Integer.MAX_VALUE)
+        return loChannel until upChannel
     }
 
     protected fun getAllEvents(block: NumassBlock): Stream<NumassEvent> {
         return when {
             block.frames.count() == 0L -> block.events
             processor == null -> throw IllegalArgumentException("Signal processor needed to analyze frames")
-            else -> Stream.concat(block.events, block.frames.flatMap { processor.analyze(it) })
+            else -> Stream.concat(block.events, block.frames.flatMap { processor.process(block, it) })
         }
     }
 
@@ -70,14 +73,14 @@ abstract class AbstractAnalyzer @JvmOverloads constructor(private val processor:
      */
     protected open fun getTableFormat(config: Meta): TableFormat {
         return TableFormatBuilder()
-                .addNumber(HV_KEY, X_VALUE_KEY)
-                .addNumber(NumassAnalyzer.LENGTH_KEY)
-                .addNumber(NumassAnalyzer.COUNT_KEY)
-                .addNumber(NumassAnalyzer.COUNT_RATE_KEY, Y_VALUE_KEY)
-                .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
-                .addColumn(NumassAnalyzer.WINDOW_KEY)
-                .addTime()
-                .build()
+            .addNumber(HV_KEY, X_VALUE_KEY)
+            .addNumber(NumassAnalyzer.LENGTH_KEY)
+            .addNumber(NumassAnalyzer.COUNT_KEY)
+            .addNumber(NumassAnalyzer.COUNT_RATE_KEY, Y_VALUE_KEY)
+            .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
+            .addColumn(NumassAnalyzer.WINDOW_KEY)
+            .addTime()
+            .build()
     }
 
 
@@ -85,18 +88,18 @@ abstract class AbstractAnalyzer @JvmOverloads constructor(private val processor:
         val format = getTableFormat(config)
 
         return ListTable.Builder(format)
-                .rows(set.points.map { point -> analyzeParent(point, config) })
-                .build()
+            .rows(set.points.map { point -> analyzeParent(point, config) })
+            .build()
     }
 
     companion object {
         val NAME_LIST = arrayOf(
-                NumassAnalyzer.LENGTH_KEY,
-                NumassAnalyzer.COUNT_KEY,
-                NumassAnalyzer.COUNT_RATE_KEY,
-                NumassAnalyzer.COUNT_RATE_ERROR_KEY,
-                NumassAnalyzer.WINDOW_KEY,
-                NumassAnalyzer.TIME_KEY
+            NumassAnalyzer.LENGTH_KEY,
+            NumassAnalyzer.COUNT_KEY,
+            NumassAnalyzer.COUNT_RATE_KEY,
+            NumassAnalyzer.COUNT_RATE_ERROR_KEY,
+            NumassAnalyzer.WINDOW_KEY,
+            NumassAnalyzer.TIME_KEY
         )
     }
 }

numass-core/src/main/kotlin/inr/numass/data/analyzers/NumassAnalyzer.kt

@@ -28,7 +28,6 @@ import java.util.*
 import java.util.concurrent.atomic.AtomicLong
 import java.util.concurrent.atomic.AtomicReference
 import java.util.stream.IntStream
-import java.util.stream.Stream
 import kotlin.streams.asSequence
 
 /**
@@ -53,10 +52,19 @@ interface NumassAnalyzer {
      * @return
      */
     fun analyzeParent(point: ParentBlock, config: Meta = Meta.empty()): Values {
+//        //Add properties to config
+//        val newConfig = config.builder.apply {
+//            if (point is NumassPoint) {
+//                setValue("voltage", point.voltage)
+//                setValue("index", point.index)
+//            }
+//            setValue("channel", point.channel)
+//        }
         val map = HashMap(analyze(point, config).asMap())
-        if(point is NumassPoint) {
+        if (point is NumassPoint) {
             map[HV_KEY] = Value.of(point.voltage)
         }
+
         return ValueMap(map)
     }
 
@@ -66,7 +74,7 @@ interface NumassAnalyzer {
      * @param block
      * @return
      */
-    fun getEvents(block: NumassBlock, meta: Meta = Meta.empty()): Stream<NumassEvent>
+    fun getEvents(block: NumassBlock, meta: Meta = Meta.empty()): List<NumassEvent>
 
     /**
      * Analyze the whole set. And return results as a table
@@ -101,7 +109,7 @@ interface NumassAnalyzer {
 
     fun getAmplitudeSpectrum(block: NumassBlock, config: Meta = Meta.empty()): Table {
         val seconds = block.length.toMillis().toDouble() / 1000.0
-        return getAmplitudeSpectrum(getEvents(block, config).asSequence(), seconds, config)
+        return getEvents(block, config).asSequence().getAmplitudeSpectrum(seconds, config)
     }
 
     companion object {
@@ -114,8 +122,6 @@ interface NumassAnalyzer {
         const val WINDOW_KEY = "window"
         const val TIME_KEY = "timestamp"
 
-        val DEFAULT_ANALYZER: NumassAnalyzer = SmartAnalyzer()
-
         val AMPLITUDE_ADAPTER: ValuesAdapter = Adapters.buildXYAdapter(CHANNEL_KEY, COUNT_RATE_KEY)
 
 //        val MAX_CHANNEL = 10000
@@ -139,23 +145,26 @@ fun Table.countInWindow(loChannel: Short, upChannel: Short): Long {
 /**
  * Calculate the amplitude spectrum for a given block. The s
  *
- * @param events
+ * @param this@getAmplitudeSpectrum
  * @param length length in seconds, used for count rate calculation
  * @param config
  * @return
  */
-fun getAmplitudeSpectrum(events: Sequence<NumassEvent>, length: Double, config: Meta = Meta.empty()): Table {
+fun Sequence<NumassEvent>.getAmplitudeSpectrum(
+    length: Double,
+    config: Meta = Meta.empty()
+): Table {
     val format = TableFormatBuilder()
-            .addNumber(NumassAnalyzer.CHANNEL_KEY, X_VALUE_KEY)
-            .addNumber(NumassAnalyzer.COUNT_KEY)
-            .addNumber(NumassAnalyzer.COUNT_RATE_KEY, Y_VALUE_KEY)
-            .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
-            .updateMeta { metaBuilder -> metaBuilder.setNode("config", config) }
-            .build()
+        .addNumber(NumassAnalyzer.CHANNEL_KEY, X_VALUE_KEY)
+        .addNumber(NumassAnalyzer.COUNT_KEY)
+        .addNumber(NumassAnalyzer.COUNT_RATE_KEY, Y_VALUE_KEY)
+        .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
+        .updateMeta { metaBuilder -> metaBuilder.setNode("config", config) }
+        .build()
 
     //optimized for fastest computation
     val spectrum: MutableMap<Int, AtomicLong> = HashMap()
-    events.forEach { event ->
+    forEach { event ->
         val channel = event.amplitude.toInt()
         spectrum.getOrPut(channel) {
             AtomicLong(0)
@@ -163,22 +172,22 @@ fun getAmplitudeSpectrum(events: Sequence<NumassEvent>, length: Double, config:
     }
 
 
-    val minChannel = config.getInt("window.lo") { spectrum.keys.min()?:0 }
-    val maxChannel = config.getInt("window.up") { spectrum.keys.max()?: 4096 }
+    val minChannel = config.getInt("window.lo") { spectrum.keys.min() ?: 0 }
+    val maxChannel = config.getInt("window.up") { spectrum.keys.max() ?: 4096 }
 
     return ListTable.Builder(format)
-            .rows(IntStream.range(minChannel, maxChannel)
-                    .mapToObj { i ->
-                        val value = spectrum[i]?.get() ?: 0
-                        ValueMap.of(
-                                format.namesAsArray(),
-                                i,
-                                value,
-                                value.toDouble() / length,
-                                Math.sqrt(value.toDouble()) / length
-                        )
-                    }
-            ).build()
+        .rows(IntStream.range(minChannel, maxChannel)
+            .mapToObj { i ->
+                val value = spectrum[i]?.get() ?: 0
+                ValueMap.of(
+                    format.namesAsArray(),
+                    i,
+                    value,
+                    value.toDouble() / length,
+                    Math.sqrt(value.toDouble()) / length
+                )
+            }
+        ).build()
 }
 
 /**
@@ -192,18 +201,18 @@ fun getAmplitudeSpectrum(events: Sequence<NumassEvent>, length: Double, config:
 @JvmOverloads
 fun Table.withBinning(binSize: Int, loChannel: Int? = null, upChannel: Int? = null): Table {
     val format = TableFormatBuilder()
-            .addNumber(NumassAnalyzer.CHANNEL_KEY, X_VALUE_KEY)
-            .addNumber(NumassAnalyzer.COUNT_KEY, Y_VALUE_KEY)
-            .addNumber(NumassAnalyzer.COUNT_RATE_KEY)
-            .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY)
-            .addNumber("binSize")
+        .addNumber(NumassAnalyzer.CHANNEL_KEY, X_VALUE_KEY)
+        .addNumber(NumassAnalyzer.COUNT_KEY, Y_VALUE_KEY)
+        .addNumber(NumassAnalyzer.COUNT_RATE_KEY)
+        .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY)
+        .addNumber("binSize")
     val builder = ListTable.Builder(format)
 
     var chan = loChannel
-            ?: this.getColumn(NumassAnalyzer.CHANNEL_KEY).stream().mapToInt { it.int }.min().orElse(0)
+        ?: this.getColumn(NumassAnalyzer.CHANNEL_KEY).stream().mapToInt { it.int }.min().orElse(0)
 
     val top = upChannel
-            ?: this.getColumn(NumassAnalyzer.CHANNEL_KEY).stream().mapToInt { it.int }.max().orElse(1)
+        ?: this.getColumn(NumassAnalyzer.CHANNEL_KEY).stream().mapToInt { it.int }.max().orElse(1)
 
     while (chan < top - binSize) {
         val count = AtomicLong(0)
@@ -218,10 +227,21 @@ fun Table.withBinning(binSize: Int, loChannel: Int? = null, upChannel: Int? = nu
         }.forEach { row ->
             count.addAndGet(row.getValue(NumassAnalyzer.COUNT_KEY, 0).long)
             countRate.accumulateAndGet(row.getDouble(NumassAnalyzer.COUNT_RATE_KEY, 0.0)) { d1, d2 -> d1 + d2 }
-            countRateDispersion.accumulateAndGet(Math.pow(row.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY, 0.0), 2.0)) { d1, d2 -> d1 + d2 }
+            countRateDispersion.accumulateAndGet(
+                Math.pow(
+                    row.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY, 0.0),
+                    2.0
+                )
+            ) { d1, d2 -> d1 + d2 }
         }
         val bin = Math.min(binSize, top - chan)
-        builder.row(chan.toDouble() + bin.toDouble() / 2.0, count.get(), countRate.get(), Math.sqrt(countRateDispersion.get()), bin)
+        builder.row(
+            chan.toDouble() + bin.toDouble() / 2.0,
+            count.get(),
+            countRate.get(),
+            Math.sqrt(countRateDispersion.get()),
+            bin
+        )
         chan += binSize
     }
     return builder.build()
@@ -236,26 +256,24 @@ fun Table.withBinning(binSize: Int, loChannel: Int? = null, upChannel: Int? = nu
  */
 fun subtractAmplitudeSpectrum(sp1: Table, sp2: Table): Table {
     val format = TableFormatBuilder()
-            .addNumber(NumassAnalyzer.CHANNEL_KEY, X_VALUE_KEY)
-            .addNumber(NumassAnalyzer.COUNT_RATE_KEY, Y_VALUE_KEY)
-            .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
-            .build()
+        .addNumber(NumassAnalyzer.CHANNEL_KEY, X_VALUE_KEY)
+        .addNumber(NumassAnalyzer.COUNT_RATE_KEY, Y_VALUE_KEY)
+        .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
+        .build()
 
     val builder = ListTable.Builder(format)
 
     sp1.forEach { row1 ->
         val channel = row1.getDouble(NumassAnalyzer.CHANNEL_KEY)
-        val row2 = sp2.rows.asSequence().find { it.getDouble(NumassAnalyzer.CHANNEL_KEY) == channel }   //t2[channel]
-        if (row2 == null) {
-            throw RuntimeException("Reference for channel $channel not found");
+        val row2 = sp2.rows.asSequence().find { it.getDouble(NumassAnalyzer.CHANNEL_KEY) == channel }
+            ?: ValueMap.ofPairs(NumassAnalyzer.COUNT_RATE_KEY to 0.0, NumassAnalyzer.COUNT_RATE_ERROR_KEY to 0.0)
 
-        } else {
-            val value = Math.max(row1.getDouble(NumassAnalyzer.COUNT_RATE_KEY) - row2.getDouble(NumassAnalyzer.COUNT_RATE_KEY), 0.0)
-            val error1 = row1.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY)
-            val error2 = row2.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY)
-            val error = Math.sqrt(error1 * error1 + error2 * error2)
-            builder.row(channel, value, error)
-        }
+        val value =
+            Math.max(row1.getDouble(NumassAnalyzer.COUNT_RATE_KEY) - row2.getDouble(NumassAnalyzer.COUNT_RATE_KEY), 0.0)
+        val error1 = row1.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY)
+        val error2 = row2.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY)
+        val error = Math.sqrt(error1 * error1 + error2 * error2)
+        builder.row(channel, value, error)
     }
     return builder.build()
 }

numass-core/src/main/kotlin/inr/numass/data/analyzers/TimeAnalyzer.kt

@@ -32,10 +32,18 @@ import inr.numass.data.api.*
 import inr.numass.data.api.NumassPoint.Companion.HV_KEY
 import java.util.*
 import java.util.concurrent.atomic.AtomicLong
-import java.util.stream.Stream
-import kotlin.math.sqrt
+import kotlin.collections.List
+import kotlin.collections.asSequence
+import kotlin.collections.count
+import kotlin.collections.first
+import kotlin.collections.map
+import kotlin.collections.set
+import kotlin.collections.sortBy
+import kotlin.collections.sumBy
+import kotlin.collections.sumByDouble
+import kotlin.collections.toMutableList
+import kotlin.math.*
 import kotlin.streams.asSequence
-import kotlin.streams.asStream
 
 
 /**
@@ -43,10 +51,19 @@ import kotlin.streams.asStream
  * Created by darksnake on 11.07.2017.
  */
 @ValueDefs(
-        ValueDef(key = "separateParallelBlocks", type = [ValueType.BOOLEAN], info = "If true, then parallel blocks will be forced to be evaluated separately"),
-        ValueDef(key = "chunkSize", type = [ValueType.NUMBER], def = "-1", info = "The number of events in chunk to split the chain into. If negative, no chunks are used")
+    ValueDef(
+        key = "separateParallelBlocks",
+        type = [ValueType.BOOLEAN],
+        info = "If true, then parallel blocks will be forced to be evaluated separately"
+    ),
+    ValueDef(
+        key = "chunkSize",
+        type = [ValueType.NUMBER],
+        def = "-1",
+        info = "The number of events in chunk to split the chain into. If negative, no chunks are used"
+    )
 )
-class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(processor) {
+open class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(processor) {
 
     override fun analyze(block: NumassBlock, config: Meta): Values {
         //In case points inside points
@@ -54,27 +71,33 @@ class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proces
             return analyzeParent(block, config)
         }
 
-
-        val loChannel = config.getInt("window.lo", 0)
-        val upChannel = config.getInt("window.up", Integer.MAX_VALUE)
         val t0 = getT0(block, config).toLong()
 
         val chunkSize = config.getInt("chunkSize", -1)
 
-        val res = if (chunkSize > 0) {
-            getEventsWithDelay(block, config)
-                    .chunked(chunkSize) { analyzeSequence(it.asSequence(), t0) }
-                    .toList()
-                    .mean(config.getEnum("mean", WEIGHTED))
-        } else {
-            analyzeSequence(getEventsWithDelay(block, config), t0)
+        val count = super.getEvents(block, config).count()
+        val length = block.length.toNanos().toDouble() / 1e9
+
+        val res = when {
+            count < 1000 -> ValueMap.ofPairs(
+                LENGTH_KEY to length,
+                COUNT_KEY to count,
+                COUNT_RATE_KEY to count.toDouble() / length,
+                COUNT_RATE_ERROR_KEY to sqrt(count.toDouble()) / length
+            )
+            chunkSize > 0 -> getEventsWithDelay(block, config)
+                .chunked(chunkSize) { analyzeSequence(it.asSequence(), t0) }
+                .toList()
+                .mean(config.getEnum("mean", WEIGHTED))
+            else -> analyzeSequence(getEventsWithDelay(block, config), t0)
         }
 
         return ValueMap.Builder(res)
-                .putValue(NumassAnalyzer.WINDOW_KEY, arrayOf(loChannel, upChannel))
-                .putValue(NumassAnalyzer.TIME_KEY, block.startTime)
-                .putValue(T0_KEY, t0.toDouble() / 1000.0)
-                .build()
+            .putValue("blockLength", length)
+            .putValue(NumassAnalyzer.WINDOW_KEY, config.getRange())
+            .putValue(NumassAnalyzer.TIME_KEY, block.startTime)
+            .putValue(T0_KEY, t0.toDouble() / 1000.0)
+            .build()
     }
 
 
@@ -82,22 +105,27 @@ class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proces
         val totalN = AtomicLong(0)
         val totalT = AtomicLong(0)
         sequence.filter { pair -> pair.second >= t0 }
-                .forEach { pair ->
-                    totalN.incrementAndGet()
-                    //TODO add progress listener here
-                    totalT.addAndGet(pair.second)
-                }
+            .forEach { pair ->
+                totalN.incrementAndGet()
+                //TODO add progress listener here
+                totalT.addAndGet(pair.second)
+            }
 
-        val countRate = 1e6 * totalN.get() / (totalT.get() / 1000 - t0 * totalN.get() / 1000)//1e9 / (totalT.get() / totalN.get() - t0);
-        val countRateError = countRate / Math.sqrt(totalN.get().toDouble())
+        if (totalN.toInt() == 0) {
+            error("Zero number of intervals")
+        }
+
+        val countRate =
+            1e6 * totalN.get() / (totalT.get() / 1000 - t0 * totalN.get() / 1000)//1e9 / (totalT.get() / totalN.get() - t0);
+        val countRateError = countRate / sqrt(totalN.get().toDouble())
         val length = totalT.get() / 1e9
         val count = (length * countRate).toLong()
 
         return ValueMap.ofPairs(
-                NumassAnalyzer.LENGTH_KEY to length,
-                NumassAnalyzer.COUNT_KEY to count,
-                NumassAnalyzer.COUNT_RATE_KEY to countRate,
-                NumassAnalyzer.COUNT_RATE_ERROR_KEY to countRateError
+            LENGTH_KEY to length,
+            COUNT_KEY to count,
+            COUNT_RATE_KEY to countRate,
+            COUNT_RATE_ERROR_KEY to countRateError
         )
 
     }
@@ -128,45 +156,53 @@ class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proces
 
         if (this.isEmpty()) {
             return ValueMap.Builder()
-                    .putValue(LENGTH_KEY, 0)
-                    .putValue(COUNT_KEY, 0)
-                    .putValue(COUNT_RATE_KEY, 0)
-                    .putValue(COUNT_RATE_ERROR_KEY, 0)
-                    .build()
+                .putValue(LENGTH_KEY, 0)
+                .putValue(COUNT_KEY, 0)
+                .putValue(COUNT_RATE_KEY, 0)
+                .putValue(COUNT_RATE_ERROR_KEY, 0)
+                .build()
         }
 
         val totalTime = sumByDouble { it.getDouble(LENGTH_KEY) }
 
         val (countRate, countRateDispersion) = when (method) {
             ARITHMETIC -> Pair(
-                    sumByDouble { it.getDouble(COUNT_RATE_KEY) } / size,
-                    sumByDouble { Math.pow(it.getDouble(COUNT_RATE_ERROR_KEY), 2.0) } / size / size
+                sumByDouble { it.getDouble(COUNT_RATE_KEY) } / size,
+                sumByDouble { it.getDouble(COUNT_RATE_ERROR_KEY).pow(2.0) } / size / size
             )
             WEIGHTED -> Pair(
-                    sumByDouble { it.getDouble(COUNT_RATE_KEY) * it.getDouble(LENGTH_KEY) } / totalTime,
-                    sumByDouble { Math.pow(it.getDouble(COUNT_RATE_ERROR_KEY) * it.getDouble(LENGTH_KEY) / totalTime, 2.0) }
+                sumByDouble { it.getDouble(COUNT_RATE_KEY) * it.getDouble(LENGTH_KEY) } / totalTime,
+                sumByDouble { (it.getDouble(COUNT_RATE_ERROR_KEY) * it.getDouble(LENGTH_KEY) / totalTime).pow(2.0) }
             )
             GEOMETRIC -> {
-                val mean = Math.exp(sumByDouble { Math.log(it.getDouble(COUNT_RATE_KEY)) } / size)
-                val variance = Math.pow(mean / size, 2.0) * sumByDouble { Math.pow(it.getDouble(COUNT_RATE_ERROR_KEY) / it.getDouble(COUNT_RATE_KEY), 2.0) }
+                val mean = exp(sumByDouble { ln(it.getDouble(COUNT_RATE_KEY)) } / size)
+                val variance = (mean / size).pow(2.0) * sumByDouble {
+                    (it.getDouble(COUNT_RATE_ERROR_KEY) / it.getDouble(
+                        COUNT_RATE_KEY
+                    )).pow(2.0)
+                }
                 Pair(mean, variance)
             }
         }
 
         return ValueMap.Builder(first())
-                .putValue(LENGTH_KEY, totalTime)
-                .putValue(COUNT_KEY, sumBy { it.getInt(COUNT_KEY) })
-                .putValue(COUNT_RATE_KEY, countRate)
-                .putValue(COUNT_RATE_ERROR_KEY, sqrt(countRateDispersion))
-                .build()
+            .putValue(LENGTH_KEY, totalTime)
+            .putValue(COUNT_KEY, sumBy { it.getInt(COUNT_KEY) })
+            .putValue(COUNT_RATE_KEY, countRate)
+            .putValue(COUNT_RATE_ERROR_KEY, sqrt(countRateDispersion))
+            .build()
     }
 
     @ValueDefs(
-            ValueDef(key = "t0", type = arrayOf(ValueType.NUMBER), info = "Constant t0 cut"),
-            ValueDef(key = "t0.crFraction", type = arrayOf(ValueType.NUMBER), info = "The relative fraction of events that should be removed by time cut"),
-            ValueDef(key = "t0.min", type = arrayOf(ValueType.NUMBER), def = "0", info = "Minimal t0")
+        ValueDef(key = "t0", type = arrayOf(ValueType.NUMBER), info = "Constant t0 cut"),
+        ValueDef(
+            key = "t0.crFraction",
+            type = arrayOf(ValueType.NUMBER),
+            info = "The relative fraction of events that should be removed by time cut"
+        ),
+        ValueDef(key = "t0.min", type = arrayOf(ValueType.NUMBER), def = "0", info = "Minimal t0")
     )
-    private fun getT0(block: NumassBlock, meta: Meta): Int {
+    protected fun getT0(block: NumassBlock, meta: Meta): Int {
         return if (meta.hasValue("t0")) {
             meta.getInt("t0")
         } else if (meta.hasMeta("t0")) {
@@ -175,7 +211,7 @@ class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proces
             if (cr < meta.getDouble("t0.minCR", 0.0)) {
                 0
             } else {
-                Math.max(-1e9 / cr * Math.log(1.0 - fraction), meta.getDouble("t0.min", 0.0)).toInt()
+                max(-1e9 / cr * ln(1.0 - fraction), meta.getDouble("t0.min", 0.0)).toInt()
             }
         } else {
             0
@@ -200,16 +236,16 @@ class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proces
      */
     fun getEventsWithDelay(block: NumassBlock, config: Meta): Sequence<Pair<NumassEvent, Long>> {
         val inverted = config.getBoolean("inverted", true)
-        val events: Stream<NumassEvent> = super.getEvents(block, config).let { stream ->
-            if (block is ParentBlock && !block.isSequential) {
-                stream.sorted(compareBy { it.timeOffset })
-            } else {
-                stream
-            }
+        //range is included in super.getEvents
+        val events = super.getEvents(block, config).toMutableList()
+
+        if (config.getBoolean("sortEvents", false) || (block is ParentBlock && !block.isSequential)) {
+            //sort in place if needed
+            events.sortBy { it.timeOffset }
         }
 
         return events.asSequence().zipWithNext { prev, next ->
-            val delay = Math.max(next.timeOffset - prev.timeOffset, 0)
+            val delay = max(next.timeOffset - prev.timeOffset, 0)
             if (inverted) {
                 Pair(next, delay)
             } else {
@@ -225,35 +261,37 @@ class TimeAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proces
      * @param meta
      * @return
      */
-    override fun getEvents(block: NumassBlock, meta: Meta): Stream<NumassEvent> {
+    override fun getEvents(block: NumassBlock, meta: Meta): List<NumassEvent> {
         val t0 = getT0(block, meta).toLong()
-        return getEventsWithDelay(block, meta).filter { pair -> pair.second >= t0 }.asStream().map { it.first }
+        return getEventsWithDelay(block, meta)
+            .filter { pair -> pair.second >= t0 }
+            .map { it.first }.toList()
     }
 
     public override fun getTableFormat(config: Meta): TableFormat {
         return TableFormatBuilder()
-                .addNumber(HV_KEY, X_VALUE_KEY)
-                .addNumber(NumassAnalyzer.LENGTH_KEY)
-                .addNumber(NumassAnalyzer.COUNT_KEY)
-                .addNumber(NumassAnalyzer.COUNT_RATE_KEY, Y_VALUE_KEY)
-                .addNumber(NumassAnalyzer.COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
-                .addColumn(NumassAnalyzer.WINDOW_KEY)
-                .addTime()
-                .addNumber(T0_KEY)
-                .build()
+            .addNumber(HV_KEY, X_VALUE_KEY)
+            .addNumber(LENGTH_KEY)
+            .addNumber(COUNT_KEY)
+            .addNumber(COUNT_RATE_KEY, Y_VALUE_KEY)
+            .addNumber(COUNT_RATE_ERROR_KEY, Y_ERROR_KEY)
+            .addColumn(NumassAnalyzer.WINDOW_KEY)
+            .addTime()
+            .addNumber(T0_KEY)
+            .build()
     }
 
     companion object {
         const val T0_KEY = "t0"
 
         val NAME_LIST = arrayOf(
-                NumassAnalyzer.LENGTH_KEY,
-                NumassAnalyzer.COUNT_KEY,
-                NumassAnalyzer.COUNT_RATE_KEY,
-                NumassAnalyzer.COUNT_RATE_ERROR_KEY,
-                NumassAnalyzer.WINDOW_KEY,
-                NumassAnalyzer.TIME_KEY,
-                T0_KEY
+            LENGTH_KEY,
+            COUNT_KEY,
+            COUNT_RATE_KEY,
+            COUNT_RATE_ERROR_KEY,
+            NumassAnalyzer.WINDOW_KEY,
+            NumassAnalyzer.TIME_KEY,
+            T0_KEY
         )
     }
 }

numass-core/src/main/kotlin/inr/numass/data/storage/ClassicNumassPoint.kt

@@ -15,7 +15,7 @@ import java.nio.file.Path
 import java.time.Duration
 import java.time.Instant
 import java.util.stream.Stream
-import kotlin.streams.asStream
+import java.util.stream.StreamSupport
 
 /**
  * Created by darksnake on 08.07.2017.
@@ -47,11 +47,12 @@ class ClassicNumassPoint(private val envelope: Envelope) : NumassPoint {
 
     //TODO split blocks using meta
     private inner class ClassicBlock(
-            override val startTime: Instant,
-            override val length: Duration) : NumassBlock, Iterable<NumassEvent> {
+        override val startTime: Instant,
+        override val length: Duration
+    ) : NumassBlock, Iterable<NumassEvent> {
 
         override val events: Stream<NumassEvent>
-            get() = this.asSequence().asStream()
+            get() = StreamSupport.stream(this.spliterator(), false)
 
         override fun iterator(): Iterator<NumassEvent> {
             val timeCoef = envelope.meta.getDouble("time_coeff", 50.0)
@@ -78,7 +79,8 @@ class ClassicNumassPoint(private val envelope: Envelope) : NumassPoint {
                                 }
                             }
                         } catch (e: IOException) {
-                            LoggerFactory.getLogger(this@ClassicNumassPoint.javaClass).error("Unexpected IOException when reading block", e)
+                            LoggerFactory.getLogger(this@ClassicNumassPoint.javaClass)
+                                .error("Unexpected IOException when reading block", e)
                             return false
                         }
 

numass-core/src/main/kotlin/inr/numass/data/storage/NumassDataFactory.kt

@@ -35,11 +35,11 @@ class NumassDataFactory : DataFactory<NumassSet>(NumassSet::class.java) {
 
     override fun fill(builder: DataNodeEditor<NumassSet>, context: Context, meta: Meta) {
         runBlocking {
-            val storage = NumassDirectory.read(context,meta.getString("path")) as Storage
+            val storage = NumassDirectory.read(context, meta.getString("path")) as Storage
             storage.sequence().forEach { pair ->
                 val value = pair.second
                 if (value is NumassSet) {
-                    builder.putStatic(pair.first.unescaped, value)
+                    builder.putStatic(pair.first.unescaped, value, value.meta)
                 }
             }
         }

numass-core/src/main/kotlin/inr/numass/data/storage/NumassDataLoader.kt

@@ -44,10 +44,10 @@ import kotlin.streams.toList
  * @author darksnake
  */
 class NumassDataLoader(
-        override val context: Context,
-        override val parent: StorageElement?,
-        override val name: String,
-        override val path: Path
+    override val context: Context,
+    override val parent: StorageElement?,
+    override val name: String,
+    override val path: Path
 ) : Loader<NumassPoint>, NumassSet, Provider, FileStorageElement {
 
     override val type: KClass<NumassPoint> = NumassPoint::class
@@ -63,26 +63,24 @@ class NumassDataLoader(
     }
 
     override suspend fun getHvData(): Table? {
-        val hvEnvelope = path.resolve(HV_FRAGMENT_NAME)?.let {
+        val hvEnvelope = path.resolve(HV_FRAGMENT_NAME).let {
             NumassEnvelopeType.infer(it)?.reader?.read(it) ?: error("Can't read hv file")
         }
-        return hvEnvelope?.let {
-            try {
-                ColumnedDataReader(it.data.stream, "timestamp", "block", "value").toTable()
-            } catch (ex: IOException) {
-                LoggerFactory.getLogger(javaClass).error("Failed to load HV data from file", ex)
-                null
-            }
+        return try {
+            ColumnedDataReader(hvEnvelope.data.stream, "timestamp", "block", "value").toTable()
+        } catch (ex: IOException) {
+            LoggerFactory.getLogger(javaClass).error("Failed to load HV data from file", ex)
+            null
         }
     }
 
 
     private val pointEnvelopes: List<Envelope> by lazy {
         Files.list(path)
-                .filter { it.fileName.toString().startsWith(POINT_FRAGMENT_NAME) }
-                .map {
-                    NumassEnvelopeType.infer(it)?.reader?.read(it) ?: error("Can't read point file")
-                }.toList()
+            .filter { it.fileName.toString().startsWith(POINT_FRAGMENT_NAME) }
+            .map {
+                NumassEnvelopeType.infer(it)?.reader?.read(it) ?: error("Can't read point file")
+            }.toList()
     }
 
     val isReversed: Boolean
@@ -189,4 +187,8 @@ class NumassDataLoader(
 }
 
 
+fun Context.readNumassSet(path:Path):NumassDataLoader{
+    return NumassDataLoader(this,null,path.fileName.toString(),path)
+}
+
 

numass-core/src/main/proto/inr/numas/numass-proto.proto

@@ -1,33 +0,0 @@
-syntax = "proto3";
-
-package inr.numass.data;
-
-message Point {
-    // A single channel for multichannel detector readout
-    message Channel {
-        //A continuous measurement block
-        message Block {
-            // Raw data frame
-            message Frame {
-                uint64 time = 1; // Time in nanos from the beginning of the block
-                bytes data = 2; // Frame data as an array of int16 mesured in arbitrary channels
-            }
-            // Event block obtained directly from  device of from frame analysis
-            // In order to save space, times and amplitudes are in separate arrays.
-            // Amplitude and time with the same index correspond to the same event
-            message Events {
-                repeated uint64 times = 1; // Array of time in nanos from the beginning of the block
-                repeated uint64 amplitudes = 2; // Array of amplitudes of events in channels
-            }
-
-            uint64 time = 1; // Block start in epoch nanos
-            repeated Frame frames = 2; // Frames array
-            Events events = 3; // Events array
-            uint64 length = 4; // block size in nanos. If missing, take from meta.
-            uint64 bin_size = 5;  // tick size in nanos. Obsolete, to be removed
-        }
-        uint64 id = 1; // The number of measuring channel
-        repeated Block blocks = 2; // Blocks
-    }
-    repeated Channel channels = 1; // Array of measuring channels
-}

numass-main/build.gradle

@@ -5,6 +5,12 @@ plugins {
 
 apply plugin: 'kotlin'
 
+//apply plugin: 'org.openjfx.javafxplugin'
+//
+//javafx {
+//    modules = [ 'javafx.controls' ]
+//}
+
 //if (!hasProperty('mainClass')) {
 //    ext.mainClass = 'inr.numass.LaunchGrindShell'
 //}
@@ -30,6 +36,8 @@ dependencies {
     compile group: 'commons-cli', name: 'commons-cli', version: '1.+'
     compile group: 'commons-io', name: 'commons-io', version: '2.+'
     compile project(':numass-core')
+    compile project(':numass-core:numass-signal-processing')
+    compileOnly "org.jetbrains.kotlin:kotlin-main-kts:1.3.21"
     compile "hep.dataforge:dataforge-minuit" //project(':dataforge-stat:dataforge-minuit')
     compile "hep.dataforge:grind-terminal" //project(':dataforge-grind:grind-terminal')
     compile "hep.dataforge:dataforge-gui"

numass-main/src/main/groovy/inr/numass/LaunchGrindShell.groovy

@@ -8,6 +8,7 @@ import hep.dataforge.grind.workspace.GrindWorkspace
 import hep.dataforge.plots.jfreechart.JFreeChartPlugin
 import hep.dataforge.workspace.FileBasedWorkspace
 import hep.dataforge.workspace.Workspace
+import groovy.cli.commons.CliBuilder
 
 /**
  * Created by darksnake on 29-Aug-16.

numass-main/src/main/kotlin/inr/numass/NumassPlugin.kt

@@ -41,11 +41,11 @@ import org.apache.commons.math3.util.FastMath
  * @author Alexander Nozik
  */
 @PluginDef(
-        group = "inr.numass",
-        name = "numass",
-        dependsOn = ["hep.dataforge:functions", "hep.dataforge:MINUIT", "hep.dataforge:actions"],
-        support = false,
-        info = "Numass data analysis tools"
+    group = "inr.numass",
+    name = "numass",
+    dependsOn = ["hep.dataforge:functions", "hep.dataforge:MINUIT", "hep.dataforge:actions"],
+    support = false,
+    info = "Numass data analysis tools"
 )
 class NumassPlugin : BasicPlugin() {
 
@@ -58,20 +58,22 @@ class NumassPlugin : BasicPlugin() {
     }
 
     private val tasks = listOf(
-            NumassFitScanSummaryTask,
-            NumassFitSummaryTask,
-            selectTask,
-            analyzeTask,
-            mergeTask,
-            mergeEmptyTask,
-            monitorTableTask,
-            subtractEmptyTask,
-            transformTask,
-            filterTask,
-            fitTask,
-            plotFitTask,
-            histogramTask,
-            fitScanTask
+        NumassFitScanSummaryTask,
+        NumassFitSummaryTask,
+        selectTask,
+        analyzeTask,
+        mergeTask,
+        mergeEmptyTask,
+        monitorTableTask,
+        subtractEmptyTask,
+        transformTask,
+        filterTask,
+        fitTask,
+        plotFitTask,
+        histogramTask,
+        fitScanTask,
+        sliceTask,
+        subThresholdTask
     )
 
     @Provides(Task.TASK_TARGET)
@@ -109,7 +111,10 @@ class NumassPlugin : BasicPlugin() {
             BivariateFunction { E: Double, U: Double ->
                 val D = E - U
                 val factor = 7.33 - E / 1000.0 / 3.0
-                return@BivariateFunction 1.0 - (3.05346E-7 * D - 5.45738E-10 * Math.pow(D, 2.0) - 6.36105E-14 * Math.pow(D, 3.0)) * factor
+                return@BivariateFunction 1.0 - (3.05346E-7 * D - 5.45738E-10 * Math.pow(
+                    D,
+                    2.0
+                ) - 6.36105E-14 * Math.pow(D, 3.0)) * factor
             }
         }
     }
@@ -263,11 +268,19 @@ class NumassPlugin : BasicPlugin() {
             val transmissionFile = an.getString("transFile")
 
             return TransmissionInterpolator
-                    .fromFile(context, transmissionFile, transXName, transYName, nSmooth, w, stitchBorder)
+                .fromFile(context, transmissionFile, transXName, transYName, nSmooth, w, stitchBorder)
         } else if (an.hasMeta("transBuildAction")) {
             val transBuild = an.getMeta("transBuildAction")
             try {
-                return TransmissionInterpolator.fromAction(context, transBuild, transXName, transYName, nSmooth, w, stitchBorder)
+                return TransmissionInterpolator.fromAction(
+                    context,
+                    transBuild,
+                    transXName,
+                    transYName,
+                    nSmooth,
+                    w,
+                    stitchBorder
+                )
             } catch (ex: InterruptedException) {
                 throw RuntimeException("Transmission builder failed")
             }
@@ -281,7 +294,11 @@ class NumassPlugin : BasicPlugin() {
         return if (an.hasMeta(ValuesAdapter.ADAPTER_KEY)) {
             Adapters.buildAdapter(an.getMeta(ValuesAdapter.ADAPTER_KEY))
         } else {
-            Adapters.buildXYAdapter(NumassPoint.HV_KEY, NumassAnalyzer.COUNT_RATE_KEY, NumassAnalyzer.COUNT_RATE_ERROR_KEY)
+            Adapters.buildXYAdapter(
+                NumassPoint.HV_KEY,
+                NumassAnalyzer.COUNT_RATE_KEY,
+                NumassAnalyzer.COUNT_RATE_ERROR_KEY
+            )
         }
     }
 
@@ -303,7 +320,13 @@ class NumassPlugin : BasicPlugin() {
  * @return
  */
 @JvmOverloads
-fun displayChart(title: String, context: Context = Global, width: Double = 800.0, height: Double = 600.0, meta: Meta = Meta.empty()): JFreeChartFrame {
+fun displayChart(
+    title: String,
+    context: Context = Global,
+    width: Double = 800.0,
+    height: Double = 600.0,
+    meta: Meta = Meta.empty()
+): JFreeChartFrame {
     val frame = JFreeChartFrame()
     frame.configure(meta)
     frame.configureValue("title", title)

numass-main/src/main/kotlin/inr/numass/NumassUtils.kt

@@ -48,6 +48,7 @@ import java.awt.Font
 import java.io.IOException
 import java.io.OutputStream
 import java.lang.Math.*
+import java.time.Instant
 import java.util.*
 
 /**
@@ -108,11 +109,11 @@ object NumassUtils {
     fun writeEnvelope(stream: OutputStream, meta: Meta, dataWriter: (OutputStream) -> Unit) {
         try {
             TaglessEnvelopeType.INSTANCE.writer.write(
-                    stream,
-                    EnvelopeBuilder()
-                            .meta(meta)
-                            .data(dataWriter)
-                            .build()
+                stream,
+                EnvelopeBuilder()
+                    .meta(meta)
+                    .data(dataWriter)
+                    .build()
             )
             stream.flush()
         } catch (e: IOException) {
@@ -148,10 +149,10 @@ object NumassUtils {
         builder.name = set.name
         set.points.forEach { point ->
             val pointMeta = MetaBuilder("point")
-                    .putValue("voltage", point.voltage)
-                    .putValue("index", point.meta.getInt("external_meta.point_index", -1))
-                    .putValue("run", point.meta.getString("external_meta.session", ""))
-                    .putValue("group", point.meta.getString("external_meta.group", ""))
+                .putValue("voltage", point.voltage)
+                .putValue("index", point.meta.getInt("external_meta.point_index", -1))
+                .putValue("run", point.meta.getString("external_meta.session", ""))
+                .putValue("group", point.meta.getString("external_meta.group", ""))
             val pointName = "point_" + point.meta.getInt("external_meta.point_index", point.hashCode())
             builder.putData(pointName, point, pointMeta)
         }
@@ -176,8 +177,8 @@ object NumassUtils {
 fun getFSS(context: Context, meta: Meta): FSS? {
     return if (meta.getBoolean("useFSS", true)) {
         val fssBinary: Binary? = meta.optString("fssFile")
-                .map { fssFile -> context.getFile(fssFile).binary }
-                .orElse(context.getResource("data/FS.txt"))
+            .map { fssFile -> context.getFile(fssFile).binary }
+            .orElse(context.getResource("data/FS.txt"))
         fssBinary?.let { FSS(it.stream) } ?: throw RuntimeException("Could not load FSS file")
     } else {
         null
@@ -189,16 +190,17 @@ fun getFSS(context: Context, meta: Meta): FSS? {
  * Evaluate groovy expression using numass point as parameter
  *
  * @param expression
- * @param point
+ * @param values
  * @return
  */
-fun pointExpression(expression: String, point: Values): Double {
+fun pointExpression(expression: String, values: Values): Double {
     val exprParams = HashMap<String, Any>()
     //Adding all point values to expression parameters
-    point.names.forEach { name -> exprParams[name] = point.getValue(name).value }
+    values.names.forEach { name -> exprParams[name] = values.getValue(name).value }
     //Adding aliases for commonly used parameters
-    exprParams["T"] = point.getDouble("length")
-    exprParams["U"] = point.getDouble("voltage")
+    exprParams["T"] = values.getDouble("length")
+    exprParams["U"] = values.getDouble("voltage")
+    exprParams["time"] = values.optTime("timestamp").orElse(Instant.EPOCH).epochSecond
 
     return ExpressionUtils.function(expression, exprParams)
 }
@@ -212,8 +214,8 @@ fun JFreeChartFrame.addSetMarkers(sets: Collection<NumassSet>) {
     sets.stream().forEach { set ->
         val start = set.startTime;
         val stop = set.meta.optValue("end_time").map { it.time }
-                .orElse(start.plusSeconds(300))
-                .minusSeconds(60)
+            .orElse(start.plusSeconds(300))
+            .minusSeconds(60)
         val marker = IntervalMarker(start.toEpochMilli().toDouble(), stop.toEpochMilli().toDouble(), paint)
         marker.label = set.name
         marker.labelFont = Font("Verdana", Font.BOLD, 20);
@@ -230,15 +232,25 @@ fun subtractSpectrum(merge: Table, empty: Table, logger: Logger? = null): Table
     merge.rows.forEach { point ->
         val pointBuilder = ValueMap.Builder(point)
         val referencePoint = empty.rows
-                .filter { p -> Math.abs(p.getDouble(NumassPoint.HV_KEY) - point.getDouble(NumassPoint.HV_KEY)) < 0.1 }.findFirst()
+            .filter { p -> Math.abs(p.getDouble(NumassPoint.HV_KEY) - point.getDouble(NumassPoint.HV_KEY)) < 0.1 }
+            .findFirst()
         if (referencePoint.isPresent) {
             pointBuilder.putValue(
-                    NumassAnalyzer.COUNT_RATE_KEY,
-                    Math.max(0.0, point.getDouble(NumassAnalyzer.COUNT_RATE_KEY) - referencePoint.get().getDouble(NumassAnalyzer.COUNT_RATE_KEY))
+                NumassAnalyzer.COUNT_RATE_KEY,
+                Math.max(
+                    0.0,
+                    point.getDouble(NumassAnalyzer.COUNT_RATE_KEY) - referencePoint.get().getDouble(NumassAnalyzer.COUNT_RATE_KEY)
+                )
             )
             pointBuilder.putValue(
-                    NumassAnalyzer.COUNT_RATE_ERROR_KEY,
-                    Math.sqrt(Math.pow(point.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY), 2.0) + Math.pow(referencePoint.get().getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY), 2.0)))
+                NumassAnalyzer.COUNT_RATE_ERROR_KEY,
+                Math.sqrt(
+                    Math.pow(
+                        point.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY),
+                        2.0
+                    ) + Math.pow(referencePoint.get().getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY), 2.0)
+                )
+            )
         } else {
             logger?.warn("No reference point found for voltage = {}", point.getDouble(NumassPoint.HV_KEY))
         }

numass-main/src/main/kotlin/inr/numass/actions/AnalyzeDataAction.kt

@@ -12,6 +12,7 @@ import hep.dataforge.values.ValueType.STRING
 import inr.numass.NumassUtils
 import inr.numass.data.analyzers.NumassAnalyzer
 import inr.numass.data.api.NumassSet
+import inr.numass.data.analyzers.SmartAnalyzer
 
 /**
  * The action performs the readout of data and collection of count rate into a table
@@ -25,7 +26,7 @@ import inr.numass.data.api.NumassSet
 object AnalyzeDataAction : OneToOneAction<NumassSet, Table>("numass.analyze", NumassSet::class.java, Table::class.java) {
     override fun execute(context: Context, name: String, input: NumassSet, inputMeta: Laminate): Table {
         //TODO add processor here
-        val analyzer = NumassAnalyzer.DEFAULT_ANALYZER
+        val analyzer: NumassAnalyzer = SmartAnalyzer()
         val res = analyzer.analyzeSet(input, inputMeta)
 
         render(context, name, NumassUtils.wrap(res, inputMeta))

numass-main/src/main/kotlin/inr/numass/actions/MergeDataAction.kt

@@ -45,12 +45,11 @@ object MergeDataAction : ManyToOneAction<Table, Table>("numass.merge", Table::cl
 
     override fun buildGroups(context: Context, input: DataNode<Table>, actionMeta: Meta): List<DataNode<Table>> {
         val meta = inputMeta(context, input.meta, actionMeta)
-        val groups: List<DataNode<Table>> = if (meta.hasValue("grouping.byValue")) {
+        return if (meta.hasValue("grouping.byValue")) {
             super.buildGroups(context, input, actionMeta)
         } else {
             GroupBuilder.byValue(MERGE_NAME, meta.getString(MERGE_NAME, input.name)).group(input)
         }
-        return groups
     }
 
     override fun execute(context: Context, nodeName: String, data: Map<String, Table>, meta: Laminate): Table {

numass-main/src/main/kotlin/inr/numass/actions/TimeAnalyzerAction.kt

@@ -52,7 +52,7 @@ object TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>("timeSpectrum",Nu
 
         val histogram = UnivariateHistogram.buildUniform(0.0, binSize * binNum, binSize)
                 .fill(analyzer
-                        .getEventsWithDelay(input, inputMeta)
+                        .getEventsWithDelay(input, analyzerMeta)
                         .asStream()
                         .mapToDouble { it.second.toDouble() / 1000.0 }
                 ).asTable()
@@ -128,6 +128,8 @@ object TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>("timeSpectrum",Nu
             val minT0 = inputMeta.getDouble("t0.min", 0.0)
             val maxT0 = inputMeta.getDouble("t0.max", 1e9 / cr)
             val steps = inputMeta.getInt("t0.steps", 100)
+            val t0Step = inputMeta.getDouble("t0.step", (maxT0-minT0)/(steps - 1))
+
 
             val norm = if (inputMeta.getBoolean("normalize", false)) {
                 cr
@@ -135,7 +137,7 @@ object TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>("timeSpectrum",Nu
                 1.0
             }
 
-            (0..steps).map { minT0 + (maxT0 - minT0) / steps * it }.map { t ->
+            (0..steps).map { minT0 + t0Step * it }.map { t ->
                 val result = analyzer.analyze(input, analyzerMeta.builder.setValue("t0", t))
 
                 if (Thread.currentThread().isInterrupted) {

numass-main/src/main/kotlin/inr/numass/actions/TransformDataAction.kt

@@ -11,17 +11,17 @@ import hep.dataforge.isAnonymous
 import hep.dataforge.meta.Laminate
 import hep.dataforge.meta.Meta
 import hep.dataforge.meta.MetaUtils
-import hep.dataforge.tables.ColumnFormat
-import hep.dataforge.tables.ColumnTable
-import hep.dataforge.tables.ListColumn
-import hep.dataforge.tables.Table
+import hep.dataforge.tables.*
 import hep.dataforge.values.ValueType.NUMBER
 import hep.dataforge.values.ValueType.STRING
 import hep.dataforge.values.Values
 import inr.numass.data.analyzers.NumassAnalyzer.Companion.COUNT_RATE_ERROR_KEY
 import inr.numass.data.analyzers.NumassAnalyzer.Companion.COUNT_RATE_KEY
+import inr.numass.data.analyzers.NumassAnalyzer.Companion.TIME_KEY
 import inr.numass.pointExpression
 import java.util.*
+import kotlin.math.pow
+import kotlin.math.sqrt
 
 /**
  * Apply corrections and transformations to analyzed data
@@ -29,10 +29,17 @@ import java.util.*
  */
 @TypedActionDef(name = "numass.transform", inputType = Table::class, outputType = Table::class)
 @ValueDefs(
-        ValueDef(key = "correction", info = "An expression to correct count number depending on potential `U`, point length `T` and point itself as `point`"),
-        ValueDef(key = "utransform", info = "Expression for voltage transformation. Uses U as input")
+    ValueDef(
+        key = "correction",
+        info = "An expression to correct count number depending on potential `U`, point length `T` and point itself as `point`"
+    ),
+    ValueDef(key = "utransform", info = "Expression for voltage transformation. Uses U as input")
+)
+@NodeDef(
+    key = "correction",
+    multiple = true,
+    descriptor = "method::inr.numass.actions.TransformDataAction.makeCorrection"
 )
-@NodeDef(key = "correction", multiple = true, descriptor = "method::inr.numass.actions.TransformDataAction.makeCorrection")
 object TransformDataAction : OneToOneAction<Table, Table>("numass.transform", Table::class.java, Table::class.java) {
 
     override fun execute(context: Context, name: String, input: Table, meta: Laminate): Table {
@@ -43,9 +50,10 @@ object TransformDataAction : OneToOneAction<Table, Table>("numass.transform", Ta
 
         meta.optMeta("corrections").ifPresent { cors ->
             MetaUtils.nodeStream(cors)
-                    .map<Meta> { it.second }
-                    .map<Correction> { this.makeCorrection(it) }
-                    .forEach { corrections.add(it) }
+                .filter { it.first.length == 1 }
+                .map<Meta> { it.second }
+                .map { makeCorrection(it) }
+                .forEach { corrections.add(it) }
         }
 
         if (meta.hasValue("correction")) {
@@ -64,28 +72,39 @@ object TransformDataAction : OneToOneAction<Table, Table>("numass.transform", Ta
             if (!correction.isAnonymous) {
                 table = table.buildColumn(ColumnFormat.build(correction.name, NUMBER)) { correction.corr(this) }
                 if (correction.hasError()) {
-                    table = table.buildColumn(ColumnFormat.build(correction.name + ".err", NUMBER)) { correction.corrErr(this) }
+                    table = table.buildColumn(ColumnFormat.build(correction.name + ".err", NUMBER)) {
+                        correction.corrErr(this)
+                    }
                 }
             }
         }
 
 
         // adding original count rate and error columns
-        table = table.addColumn(ListColumn(ColumnFormat.build("$COUNT_RATE_KEY.orig", NUMBER), table.getColumn(COUNT_RATE_KEY).stream()))
-        table = table.addColumn(ListColumn(ColumnFormat.build("$COUNT_RATE_ERROR_KEY.orig", NUMBER), table
-                .getColumn(COUNT_RATE_ERROR_KEY).stream()))
+        table = table.addColumn(
+            ListColumn(
+                ColumnFormat.build("$COUNT_RATE_KEY.orig", NUMBER),
+                table.getColumn(COUNT_RATE_KEY).stream()
+            )
+        )
+        table = table.addColumn(
+            ListColumn(
+                ColumnFormat.build("$COUNT_RATE_ERROR_KEY.orig", NUMBER), table
+                    .getColumn(COUNT_RATE_ERROR_KEY).stream()
+            )
+        )
 
         val cr = ArrayList<Double>()
         val crErr = ArrayList<Double>()
 
         table.rows.forEach { point ->
             val correctionFactor = corrections.stream()
-                    .mapToDouble { cor -> cor.corr(point) }
-                    .reduce { d1, d2 -> d1 * d2 }.orElse(1.0)
+                .mapToDouble { cor -> cor.corr(point) }
+                .reduce { d1, d2 -> d1 * d2 }.orElse(1.0)
             val relativeCorrectionError = Math.sqrt(
-                    corrections.stream()
-                            .mapToDouble { cor -> cor.relativeErr(point) }
-                            .reduce { d1, d2 -> d1 * d1 + d2 * d2 }.orElse(0.0)
+                corrections.stream()
+                    .mapToDouble { cor -> cor.relativeErr(point) }
+                    .reduce { d1, d2 -> d1 * d1 + d2 * d2 }.orElse(0.0)
             )
             val originalCR = point.getDouble(COUNT_RATE_KEY)
             val originalCRErr = point.getDouble(COUNT_RATE_ERROR_KEY)
@@ -93,13 +112,15 @@ object TransformDataAction : OneToOneAction<Table, Table>("numass.transform", Ta
             if (relativeCorrectionError == 0.0) {
                 crErr.add(originalCRErr * correctionFactor)
             } else {
-                crErr.add(Math.sqrt(Math.pow(originalCRErr / originalCR, 2.0) + Math.pow(relativeCorrectionError, 2.0)) * originalCR)
+                crErr.add(sqrt((originalCRErr / originalCR).pow(2.0) + relativeCorrectionError.pow(2.0)) * originalCR)
             }
         }
 
         //replacing cr column
         val res = table.addColumn(ListColumn.build(table.getColumn(COUNT_RATE_KEY).format, cr.stream()))
-                .addColumn(ListColumn.build(table.getColumn(COUNT_RATE_ERROR_KEY).format, crErr.stream()))
+            .addColumn(ListColumn.build(table.getColumn(COUNT_RATE_ERROR_KEY).format, crErr.stream()))
+            .sort(TIME_KEY)
+
 
         context.output[this@TransformDataAction.name, name].render(res, meta)
         return res
@@ -107,34 +128,23 @@ object TransformDataAction : OneToOneAction<Table, Table>("numass.transform", Ta
 
 
     @ValueDefs(
-            ValueDef(key = "value", type = arrayOf(NUMBER, STRING), info = "Value or function to multiply count rate"),
-            ValueDef(key = "err", type = arrayOf(NUMBER, STRING), info = "error of the value")
+        ValueDef(key = "value", type = arrayOf(NUMBER, STRING), info = "Value or function to multiply count rate"),
+        ValueDef(key = "err", type = arrayOf(NUMBER, STRING), info = "error of the value")
     )
     private fun makeCorrection(corrMeta: Meta): Correction {
-        val expr = corrMeta.getString("value")
-        val errExpr = corrMeta.getString("err", "")
-        return object : Correction {
-            override val name = corrMeta.getString("name", corrMeta.name)
-
-            override fun corr(point: Values): Double {
-                return pointExpression(expr, point)
-            }
-
-            override fun corrErr(point: Values): Double {
-                return if (errExpr.isEmpty()) {
-                    0.0
-                } else {
-                    pointExpression(errExpr, point)
-                }
-            }
-
-            override fun hasError(): Boolean {
-                return !errExpr.isEmpty()
-            }
+        val name = corrMeta.getString("name", corrMeta.name)
+        return if (corrMeta.hasMeta("table")) {
+            val x = corrMeta.getValue("table.u").list.map { it.double }
+            val corr = corrMeta.getValue("table.corr").list.map { it.double }
+            TableCorrection(name, x, corr)
+        } else {
+            val expr = corrMeta.getString("value")
+            val errExpr = corrMeta.getString("err", "")
+            ExpressionCorrection(name, expr, errExpr)
         }
     }
 
-    private interface Correction : Named {
+    interface Correction : Named {
 
         /**
          * correction coefficient
@@ -168,4 +178,44 @@ object TransformDataAction : OneToOneAction<Table, Table>("numass.transform", Ta
         }
     }
 
+    class ExpressionCorrection(override val name: String, val expr: String, val errExpr: String) : Correction {
+        override fun corr(point: Values): Double {
+            return pointExpression(expr, point)
+        }
+
+        override fun corrErr(point: Values): Double {
+            return if (errExpr.isEmpty()) {
+                0.0
+            } else {
+                pointExpression(errExpr, point)
+            }
+        }
+
+        override fun hasError(): Boolean {
+            return errExpr.isNotEmpty()
+        }
+    }
+
+    class TableCorrection(
+        override val name: String,
+        val x: List<Double>,
+        val y: List<Double>,
+        val yErr: List<Double>? = null
+    ) : Correction {
+        override fun corr(point: Values): Double {
+            val voltage = point.getDouble("voltage")
+            val index = x.indexOfFirst { it > voltage }
+            //TODO add interpolation
+            return if (index < 0) {
+                y.last()
+            } else {
+                y[index]
+            }
+        }
+//
+//        override fun corrErr(point: Values): Double  = 0.0
+//
+//        override fun hasError(): Boolean = yErr.isNullOrEmpty()
+    }
+
 }

numass-main/src/main/kotlin/inr/numass/data/Visualization.kt

@@ -18,10 +18,11 @@ package inr.numass.data
 
 import hep.dataforge.configure
 import hep.dataforge.context.Context
-import hep.dataforge.context.Global
 import hep.dataforge.meta.KMetaBuilder
 import hep.dataforge.meta.buildMeta
 import hep.dataforge.nullable
+import hep.dataforge.plots.PlotFrame
+import hep.dataforge.plots.PlotGroup
 import hep.dataforge.plots.data.DataPlot
 import hep.dataforge.plots.output.plotFrame
 import hep.dataforge.tables.Adapters
@@ -30,20 +31,24 @@ import inr.numass.data.analyzers.SmartAnalyzer
 import inr.numass.data.analyzers.withBinning
 import inr.numass.data.api.NumassBlock
 
-
-fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName: String = "", context: Context = Global, metaAction: KMetaBuilder.() -> Unit = {}) {
-    val meta = buildMeta("meta", metaAction)
+fun PlotGroup.plotAmplitudeSpectrum(
+    numassBlock: NumassBlock,
+    plotName: String = "spectrum",
+    analyzer: NumassAnalyzer = SmartAnalyzer(),
+    metaBuilder: KMetaBuilder.() -> Unit = {}
+) {
+    val meta = buildMeta("meta", metaBuilder)
     val binning = meta.getInt("binning", 20)
     val lo = meta.optNumber("window.lo").nullable?.toInt()
     val up = meta.optNumber("window.up").nullable?.toInt()
-    val data = SmartAnalyzer().getAmplitudeSpectrum(this, meta.getMetaOrEmpty("spectrum")).withBinning(binning, lo, up)
-    context.plotFrame(plotName) {
+    val data = analyzer.getAmplitudeSpectrum(numassBlock, meta).withBinning(binning, lo, up)
+    apply {
         val valueAxis = if (meta.getBoolean("normalize", false)) {
             NumassAnalyzer.COUNT_RATE_KEY
         } else {
             NumassAnalyzer.COUNT_KEY
         }
-        plots.configure {
+        configure {
             "connectionType" to "step"
             "thickness" to 2
             "showLine" to true
@@ -52,11 +57,31 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
         }.setType<DataPlot>()
 
         val plot = DataPlot.plot(
-                plotName,
-                data,
-                Adapters.buildXYAdapter(NumassAnalyzer.CHANNEL_KEY, valueAxis)
+            plotName,
+            data,
+            Adapters.buildXYAdapter(NumassAnalyzer.CHANNEL_KEY, valueAxis)
         )
         plot.configure(meta)
         add(plot)
     }
 }
+
+fun PlotFrame.plotAmplitudeSpectrum(
+    numassBlock: NumassBlock,
+    plotName: String = "spectrum",
+    analyzer: NumassAnalyzer = SmartAnalyzer(),
+    metaBuilder: KMetaBuilder.() -> Unit = {}
+) = plots.plotAmplitudeSpectrum(numassBlock, plotName, analyzer, metaBuilder)
+
+fun Context.plotAmplitudeSpectrum(
+    numassBlock: NumassBlock,
+    plotName: String = "spectrum",
+    frameName: String = plotName,
+    analyzer: NumassAnalyzer = SmartAnalyzer(),
+    metaAction: KMetaBuilder.() -> Unit = {}
+) {
+    plotFrame(frameName) {
+        plotAmplitudeSpectrum(numassBlock, plotName, analyzer, metaAction)
+    }
+}
+

numass-main/src/main/kotlin/inr/numass/data/analyzers/SmartAnalyzer.kt

@@ -17,14 +17,16 @@
 package inr.numass.data.analyzers
 
 import hep.dataforge.meta.Meta
+import hep.dataforge.tables.ListTable
+import hep.dataforge.tables.Table
 import hep.dataforge.tables.TableFormat
 import hep.dataforge.values.Value
 import hep.dataforge.values.ValueMap
+import hep.dataforge.values.ValueType
 import hep.dataforge.values.Values
-import inr.numass.data.api.NumassBlock
-import inr.numass.data.api.NumassEvent
-import inr.numass.data.api.SignalProcessor
-import java.util.stream.Stream
+import inr.numass.data.ChernovProcessor
+import inr.numass.data.api.*
+import inr.numass.utils.ExpressionUtils
 
 /**
  * An analyzer dispatcher which uses different analyzer for different meta
@@ -41,7 +43,7 @@ class SmartAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proce
                 "simple" -> simpleAnalyzer
                 "time" -> timeAnalyzer
                 "debunch" -> debunchAnalyzer
-                else -> throw IllegalArgumentException("Analyzer not found")
+                else -> throw IllegalArgumentException("Analyzer ${config.getString("type")} not found")
             }
         } else {
             if (config.hasValue("t0") || config.hasMeta("t0")) {
@@ -59,7 +61,7 @@ class SmartAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proce
         return ValueMap(map)
     }
 
-    override fun getEvents(block: NumassBlock, meta: Meta): Stream<NumassEvent> {
+    override fun getEvents(block: NumassBlock, meta: Meta): List<NumassEvent> {
         return getAnalyzer(meta).getEvents(block, meta)
     }
 
@@ -69,4 +71,33 @@ class SmartAnalyzer(processor: SignalProcessor? = null) : AbstractAnalyzer(proce
         } else super.getTableFormat(config)
     }
 
+    override fun analyzeSet(set: NumassSet, config: Meta): Table {
+        fun Value.computeExpression(point: NumassPoint): Int {
+            return when {
+                this.type == ValueType.NUMBER -> this.int
+                this.type == ValueType.STRING -> {
+                    val exprParams = HashMap<String, Any>()
+
+                    exprParams["U"] = point.voltage
+
+                    ExpressionUtils.function(this.string, exprParams).toInt()
+                }
+                else -> error("Can't interpret $type as expression or number")
+            }
+        }
+        val lo = config.getValue("window.lo",0)
+        val up = config.getValue("window.up", Int.MAX_VALUE)
+
+        val format = getTableFormat(config)
+
+        return ListTable.Builder(format)
+            .rows(set.points.map { point ->
+                val newConfig = config.builder.apply{
+                    setValue("window.lo", lo.computeExpression(point))
+                    setValue("window.up", up.computeExpression(point))
+                }
+                analyzeParent(point, newConfig)
+            })
+            .build()
+    }
 }

numass-main/src/main/kotlin/inr/numass/scripts/Bunches.kt

@@ -32,7 +32,7 @@ fun main(args: Array<String>) {
     }
 
 
-    val point = SimpleNumassPoint(blocks, 10000.0)
+    val point = SimpleNumassPoint.build(blocks, 10000.0)
 
     val meta = buildMeta {
         "t0" to 1e7

numass-main/src/main/kotlin/inr/numass/scripts/Correlation.kt

@@ -25,10 +25,9 @@ import inr.numass.data.api.NumassEvent
 import inr.numass.data.api.NumassSet
 import inr.numass.data.storage.NumassDirectory
 import org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-import java.util.stream.Stream
 
 
-private fun correlation(sequence: Stream<NumassEvent>): Double {
+private fun correlation(sequence: List<NumassEvent>): Double {
     val amplitudes: MutableList<Double> = ArrayList()
     val times: MutableList<Double> = ArrayList()
     sequence.forEach {

numass-main/src/main/kotlin/inr/numass/scripts/PileupIntensityDependency.kt

@@ -108,7 +108,7 @@ fun main(args: Array<String>) {
                 .filter { pair -> pair.second <= t0 }
                 .map { it.first }
 
-        val pileupSpectrum = getAmplitudeSpectrum(sequence, point.length.toMillis().toDouble() / 1000.0).withBinning(20)
+        val pileupSpectrum = sequence.getAmplitudeSpectrum(point.length.toMillis().toDouble() / 1000.0).withBinning(20)
 
         group.add(DataPlot.plot("pileup", pileupSpectrum, AMPLITUDE_ADAPTER))
 

numass-main/src/main/kotlin/inr/numass/scripts/PileupIntensityDependencyGun.kt

@@ -110,7 +110,7 @@ fun main(args: Array<String>) {
                 .filter { pair -> pair.second <= t0 }
                 .map { it.first }
 
-        val pileupSpectrum = getAmplitudeSpectrum(sequence, point.length.toMillis().toDouble() / 1000.0).withBinning(20)
+        val pileupSpectrum = sequence.getAmplitudeSpectrum(point.length.toMillis().toDouble() / 1000.0).withBinning(20)
 
         group.add(DataPlot.plot("pileup", pileupSpectrum, AMPLITUDE_ADAPTER))
 

numass-main/src/main/kotlin/inr/numass/scripts/PointSliceSpectrum.kt

@@ -23,7 +23,7 @@ fun main(args: Array<String>) {
     }
     //val rootDir = File("D:\\Work\\Numass\\data\\2017_05\\Fill_2")
 
-    val storage = NumassDirectory.read(context, "Fill_3_events") ?: error("Storage not found")
+    val storage = NumassDirectory.read(context, "Fill_3") ?: error("Storage not found")
 
 
     val analyzer = SmartAnalyzer()
@@ -34,7 +34,7 @@ fun main(args: Array<String>) {
 //        "window.up" to 1600
     }
 
-    val set = storage.provide("set_58", NumassSet::class.java).nullable ?: error("Set does not exist")
+    val set = storage.provide("set_4", NumassSet::class.java).nullable ?: error("Set does not exist")
 
     val frame = displayChart("slices").apply {
         plots.setType<DataPlot>()

numass-main/src/main/kotlin/inr/numass/scripts/analysis/Run2017_05.kt

@@ -14,7 +14,7 @@ fun main(args: Array<String>) {
 
     //val meta = workspace.getTarget("group_3")
 
-    val result = workspace.runTask("scansum", "group_3").first().get()
+    val result = workspace.runTask("fit", "group_5").first().get()
     println("Complete!")
 
 }

numass-main/src/main/kotlin/inr/numass/scripts/analysis/Run2017_05_frames.kt

@@ -0,0 +1,20 @@
+package inr.numass.scripts.analysis
+
+import hep.dataforge.context.Global
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.workspace.FileBasedWorkspace
+import java.io.File
+
+fun main(args: Array<String>) {
+    FXOutputManager().startGlobal()
+
+    val configPath = File("D:\\Work\\Numass\\sterile2017_05_frames\\workspace.groovy").toPath()
+    val workspace = FileBasedWorkspace.build(Global, configPath)
+    workspace.context.setValue("cache.enabled", false)
+
+    //val meta = workspace.getTarget("group_3")
+
+    val result = workspace.runTask("fit", "group_5").first().get()
+    println("Complete!")
+
+}

numass-main/src/main/kotlin/inr/numass/scripts/models/ResolutionDemo.kt

@@ -0,0 +1,57 @@
+package inr.numass.scripts.models
+
+import hep.dataforge.context.Global
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.meta.buildMeta
+import hep.dataforge.plots.data.DataPlot
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
+import hep.dataforge.stat.fit.ParamSet
+import hep.dataforge.step
+import inr.numass.NumassPlugin
+import inr.numass.displayChart
+import inr.numass.models.NBkgSpectrum
+import inr.numass.models.sterile.SterileNeutrinoSpectrum
+
+fun main(args: Array<String>) {
+    NumassPlugin().startGlobal()
+    JFreeChartPlugin().startGlobal()
+    Global.output = FXOutputManager()
+
+
+
+    val params = ParamSet().apply {
+        setPar("N", 8e5, 6.0, 0.0, Double.POSITIVE_INFINITY)
+        setPar("bkg", 2.0, 0.03)
+        setPar("E0", 18575.0, 1.0)
+        setPar("mnu2", 0.0, 1.0)
+        setParValue("msterile2", (1000 * 1000).toDouble())
+        setPar("U2", 0.0, 1e-3)
+        setPar("X", 0.0, 0.01)
+        setPar("trap", 1.0, 0.01)
+    }
+
+
+
+
+    val meta1 = buildMeta {
+        "resolution.A" to 8.3e-5
+    }
+    val spectrum1 = NBkgSpectrum(SterileNeutrinoSpectrum(Global, meta1))
+
+    val meta2 = buildMeta {
+        "resolution.A" to 0
+    }
+    val spectrum2 = NBkgSpectrum(SterileNeutrinoSpectrum(Global, meta2))
+
+    displayChart("compare").apply {
+        val x = (14000.0..18600.0).step(100.0).toList()
+        val y1 = x.map { spectrum1.value(it, params) }
+        +DataPlot.plot("simple", x.toDoubleArray(), y1.toDoubleArray())
+        val y2 = x.map { spectrum2.value(it, params) }
+        +DataPlot.plot("normal", x.toDoubleArray(), y2.toDoubleArray())
+        val dif = x.mapIndexed{ index, _ -> 1 - y1[index]/y2[index]  }
+        +DataPlot.plot("dif", x.toDoubleArray(), dif.toDoubleArray())
+    }
+
+
+}

numass-main/src/main/kotlin/inr/numass/scripts/threshold/FitAllWithPower.kt

@@ -29,7 +29,6 @@ import hep.dataforge.plots.plotData
 import hep.dataforge.storage.files.FileStorage
 import hep.dataforge.tables.Adapters
 import hep.dataforge.tables.filter
-import hep.dataforge.tables.sort
 import inr.numass.NumassPlugin
 import inr.numass.data.NumassDataUtils
 import inr.numass.data.api.NumassSet
@@ -37,46 +36,47 @@ import inr.numass.data.storage.NumassDirectory
 import inr.numass.displayChart
 import inr.numass.subthreshold.Threshold
 
-fun main(args: Array<String>) {
+fun main() {
     val context = buildContext("NUMASS", NumassPlugin::class.java, JFreeChartPlugin::class.java) {
-        rootDir = "D:\\Work\\Numass\\sterile\\2017_05"
-        dataDir = "D:\\Work\\Numass\\data\\2017_05"
+        rootDir = "D:\\Work\\Numass\\sterile\\2017_05_frames"
+        dataDir = "D:\\Work\\Numass\\data\\2017_05_frames"
         output = FXOutputManager() + DirectoryOutput()
     }
 
-    val storage = NumassDirectory.read(context, "Fill_2") as? FileStorage ?: error("Storage not found")
+    val storage = NumassDirectory.read(context, "Fill_3") as? FileStorage ?: error("Storage not found")
 
     val meta = buildMeta {
-        "delta" to -150
+        "delta" to -300
         "method" to "pow"
         "t0" to 15e3
 //        "window.lo" to 400
 //        "window.up" to 1600
-        "xLow" to 450
-        "xHigh" to 700
-        "upper" to 3100
-        "binning" to 20
+        "xLow" to 1000
+        "xHigh" to 1300
+        "upper" to 6000
+        "binning" to 32
+        //"reference" to 18600
     }
 
     val frame = displayChart("correction").apply {
         plots.setType<DataPlot>()
     }
 
-    val sets = (1..18).map { "set_$it" }.map { setName ->
+    val sets = (1..14).map { "set_$it" }.mapNotNull { setName ->
         storage.provide(setName, NumassSet::class.java).nullable
-    }.filterNotNull()
+    }
 
-    val name = "fill_2[1-18]"
+    val name = "fill_3[1-14]"
 
     val sum = NumassDataUtils.join(name, sets)
 
     val correctionTable = Threshold.calculateSubThreshold(sum, meta).filter {
         it.getDouble("correction") in (1.0..1.2)
-    }.sort("voltage")
+    }
 
     frame.plotData("${name}_cor", correctionTable, Adapters.buildXYAdapter("U", "correction"))
     frame.plotData("${name}_a", correctionTable, Adapters.buildXYAdapter("U", "a"))
     frame.plotData("${name}_beta", correctionTable, Adapters.buildXYAdapter("U", "beta"))
 
-    context.output.render(correctionTable,"numass.correction", "fill_2[1-18]")
+    context.output.render(correctionTable,"numass.correction", name)
 }

numass-main/src/main/kotlin/inr/numass/scripts/threshold/FitWithPower.kt

@@ -35,19 +35,24 @@ import inr.numass.subthreshold.Threshold
 
 fun main(args: Array<String>) {
     val context = buildContext("NUMASS", NumassPlugin::class.java, JFreeChartPlugin::class.java) {
-        rootDir = "D:\\Work\\Numass\\sterile\\2017_05"
-        dataDir = "D:\\Work\\Numass\\data\\2017_05"
+        rootDir = "D:\\Work\\Numass\\sterile\\2017_05_frames"
+        dataDir = "D:\\Work\\Numass\\data\\2017_05_frames"
         output = FXOutputManager() + DirectoryOutput()
     }
 
-    val storage = NumassDirectory.read(context, "Fill_2") as? FileStorage ?: error("Storage not found")
+    val storage = NumassDirectory.read(context, "Fill_3") as? FileStorage ?: error("Storage not found")
 
     val meta = buildMeta {
-        "delta" to -200
+        "delta" to -300
         "method" to "pow"
         "t0" to 15e3
-        "window.lo" to 400
-        "window.up" to 1600
+//        "window.lo" to 400
+//        "window.up" to 1600
+        "xLow" to 1000
+        "xHigh" to 1300
+        "upper" to 6000
+        "binning" to 32
+        //"reference" to 18600
     }
 
     val frame = displayChart("correction").apply {

numass-main/src/main/kotlin/inr/numass/scripts/threshold/threshold-2017_05-CAMAC.kt

@@ -0,0 +1,71 @@
+/*
+ * Copyright  2018 Alexander Nozik.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ *  Unless required by applicable law or agreed to in writing, software
+ *  distributed under the License is distributed on an "AS IS" BASIS,
+ *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ *  See the License for the specific language governing permissions and
+ *  limitations under the License.
+ */
+
+
+import hep.dataforge.buildContext
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.io.DirectoryOutput
+import hep.dataforge.io.plus
+import hep.dataforge.meta.buildMeta
+import hep.dataforge.nullable
+import hep.dataforge.plots.data.DataPlot
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
+import hep.dataforge.plots.plotData
+import hep.dataforge.storage.files.FileStorage
+import hep.dataforge.tables.Adapters
+import inr.numass.NumassPlugin
+import inr.numass.data.api.NumassSet
+import inr.numass.data.storage.NumassDirectory
+import inr.numass.displayChart
+import inr.numass.subthreshold.Threshold
+
+fun main(){
+    val context = buildContext("NUMASS", NumassPlugin::class.java, JFreeChartPlugin::class.java) {
+        rootDir = "D:\\Work\\Numass\\sterile\\2017_05"
+        dataDir = "D:\\Work\\Numass\\data\\2017_05"
+        output = FXOutputManager() + DirectoryOutput()
+    }
+
+    val storage = NumassDirectory.read(context, "Fill_3") as? FileStorage ?: error("Storage not found")
+
+    val meta = buildMeta {
+        "delta" to -200
+        "method" to "pow"
+        "t0" to 15e3
+//        "window.lo" to 400
+//        "window.up" to 1600
+        "xLow" to 450
+        "xHigh" to 700
+        "upper" to 3000
+        "binning" to 20
+        //"reference" to 18600
+    }
+
+    val frame = displayChart("correction").apply {
+        plots.setType<DataPlot>()
+    }
+
+    listOf("set_2", "set_3", "set_4", "set_5").forEach { setName ->
+        val set = storage.provide(setName, NumassSet::class.java).nullable ?: error("Set does not exist")
+
+        val correctionTable = Threshold.calculateSubThreshold(set, meta).filter {
+            it.getDouble("correction") in (1.0..1.2)
+        }
+
+        frame.plotData(setName, correctionTable, Adapters.buildXYAdapter("U", "correction"))
+    }
+
+}

numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/AnalyzeDantePoint.kt

@@ -0,0 +1,72 @@
+package inr.numass.scripts.timeanalysis
+
+import hep.dataforge.buildContext
+import hep.dataforge.data.DataSet
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.meta.buildMeta
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
+import inr.numass.NumassPlugin
+import inr.numass.actions.TimeAnalyzerAction
+import inr.numass.data.api.NumassPoint
+import inr.numass.data.api.NumassSet
+import inr.numass.data.api.SimpleNumassPoint
+import inr.numass.data.storage.NumassDirectory
+
+fun main(args: Array<String>) {
+
+    val context = buildContext("NUMASS", NumassPlugin::class.java, JFreeChartPlugin::class.java) {
+        output = FXOutputManager()
+        rootDir = "D:\\Work\\Numass\\sterile2018_04"
+        dataDir = "D:\\Work\\Numass\\data\\2018_04"
+    }
+
+    val storage = NumassDirectory.read(context, "Fill_3")!!
+
+    val meta = buildMeta {
+        "binNum" to 200
+        //"chunkSize" to 10000
+       // "mean" to TimeAnalyzer.AveragingMethod.ARITHMETIC
+        //"separateParallelBlocks" to true
+        "t0" to {
+            "step" to 320
+        }
+        "analyzer" to {
+            "t0" to 16000
+            "window" to {
+                "lo" to 450
+                "up" to 1900
+            }
+        }
+
+        //"plot.showErrors" to false
+    }
+
+
+    val loader = storage.provide("set_9",NumassSet::class.java).get()
+
+    val hvs = listOf(14000.0)//, 15000d, 15200d, 15400d, 15600d, 15800d]
+    //listOf(18500.0, 18600.0, 18995.0, 19000.0)
+
+    val data = DataSet.edit(NumassPoint::class).apply {
+        hvs.forEach { hv ->
+            val points = loader.points.filter {
+                it.voltage == hv
+            }.toList()
+            if (!points.isEmpty()) {
+                putStatic(
+                        "point_${hv.toInt()}",
+                        SimpleNumassPoint.build(points, hv)
+                )
+            }
+        }
+    }.build()
+
+
+    val result = TimeAnalyzerAction.run(context, data, meta);
+
+    result.nodeGoal().run()
+
+    readLine()
+    println("Canceling task")
+    result.nodeGoal().cancel()
+}

numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/AnalyzePoint.kt

@@ -8,7 +8,6 @@ import hep.dataforge.plots.jfreechart.JFreeChartPlugin
 import inr.numass.NumassPlugin
 import inr.numass.actions.TimeAnalyzerAction
 import inr.numass.data.NumassDataUtils
-import inr.numass.data.analyzers.TimeAnalyzer
 import inr.numass.data.api.NumassPoint
 import inr.numass.data.api.NumassSet
 import inr.numass.data.api.SimpleNumassPoint
@@ -18,28 +17,33 @@ fun main(args: Array<String>) {
 
     val context = buildContext("NUMASS", NumassPlugin::class.java, JFreeChartPlugin::class.java) {
         output = FXOutputManager()
-        rootDir = "D:\\Work\\Numass\\sterile2017_05"
-        dataDir = "D:\\Work\\Numass\\data\\2017_05"
+        rootDir = "D:\\Work\\Numass\\sterile2017_05_frames"
+        dataDir = "D:\\Work\\Numass\\data\\2017_05_frames"
     }
 
-    val storage = NumassDirectory.read(context, "Fill_2")!!
+    val storage = NumassDirectory.read(context, "Fill_3")!!
 
     val meta = buildMeta {
-        "t0" to 3000
         "binNum" to 200
-        "t0Step" to 100
-        "chunkSize" to 3000
-        "mean" to TimeAnalyzer.AveragingMethod.ARITHMETIC
+        //"chunkSize" to 10000
+        // "mean" to TimeAnalyzer.AveragingMethod.ARITHMETIC
         //"separateParallelBlocks" to true
-        "window" to {
-            "lo" to 0
-            "up" to 4000
+        "t0" to {
+            "step" to 320
         }
+        "analyzer" to {
+            "t0" to 16000
+            "window" to {
+                "lo" to 1500
+                "up" to 7000
+            }
+        }
+
         //"plot.showErrors" to false
     }
 
     //def sets = ((2..14) + (22..31)).collect { "set_$it" }
-    val sets = (2..12).map { "set_$it" }
+    val sets = (11..11).map { "set_$it" }
     //def sets = (16..31).collect { "set_$it" }
     //def sets = (20..28).collect { "set_$it" }
 
@@ -49,7 +53,7 @@ fun main(args: Array<String>) {
 
     val all = NumassDataUtils.join("sum", loaders)
 
-    val hvs = listOf(14500.0)//, 15000d, 15200d, 15400d, 15600d, 15800d]
+    val hvs = listOf(14000.0)//, 15000d, 15200d, 15400d, 15600d, 15800d]
     //listOf(18500.0, 18600.0, 18995.0, 19000.0)
 
     val data = DataSet.edit(NumassPoint::class).apply {
@@ -58,10 +62,7 @@ fun main(args: Array<String>) {
                 it.voltage == hv && it.channel == 0
             }.toList()
             if (!points.isEmpty()) {
-                putStatic(
-                        "point_${hv.toInt()}",
-                        SimpleNumassPoint(points, hv)
-                )
+                putStatic("point_${hv.toInt()}", SimpleNumassPoint.build(points, hv))
             }
         }
     }.build()

numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/TestAnalyzer.kt

@@ -39,7 +39,7 @@ fun main(args: Array<String>) {
                     .generateBlock(start.plusNanos(it * length), length)
         }
     }.join(Global) { blocks ->
-        SimpleNumassPoint(blocks, 12000.0)
+        SimpleNumassPoint.build(blocks, 12000.0)
     }.get()
 
 

numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/TestBunch.kt

@@ -59,7 +59,7 @@ fun main(args: Array<String>) {
                     .generateBlock(start.plusNanos(it * length), length)
         }
     }.join(Global) { blocks ->
-        SimpleNumassPoint(blocks, 18000.0)
+        SimpleNumassPoint.build(blocks, 18000.0)
     }.get()
 
 

numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/TestTimeAnalyzerLength.kt

@@ -0,0 +1,90 @@
+package inr.numass.scripts.timeanalysis
+
+import hep.dataforge.buildContext
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.meta.buildMeta
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
+import inr.numass.NumassPlugin
+import inr.numass.data.analyzers.TimeAnalyzer
+import inr.numass.data.api.NumassSet
+import inr.numass.data.storage.NumassDirectory
+
+
+fun main(args: Array<String>) {
+    val context = buildContext("NUMASS", NumassPlugin::class.java, JFreeChartPlugin::class.java) {
+        output = FXOutputManager()
+        rootDir = "D:\\Work\\Numass\\sterile2017_05"
+        dataDir = "D:\\Work\\Numass\\data\\2017_05"
+    }
+
+    val storage = NumassDirectory.read(context, "Fill_3")!!
+
+    val loader = storage.provide("set_10", NumassSet::class.java).get()
+
+    val point = loader.getPoints(18050.00).first()
+
+    val analyzer = TimeAnalyzer()
+
+    val meta = buildMeta("analyzer") {
+        "t0" to 3000
+        "inverted" to false
+        //"chunkSize" to 5000
+        //"mean" to TimeAnalyzer.AveragingMethod.ARITHMETIC
+    }
+
+    println(analyzer.analyze(point, meta))
+
+    println(analyzer.getEventsWithDelay(point.firstBlock, meta ).count())
+    println(point.events.count())
+    println(point.firstBlock.events.count())
+
+//    val time = point.events.asSequence().zipWithNext().map { (p, n) ->
+//        n.timeOffset - p.timeOffset
+//    }.filter { it > 0 }.sum()
+
+    val time = analyzer.getEventsWithDelay(point.firstBlock, meta ).map { it.second }.filter { it > 0 }.sum()
+
+
+
+//    val totalN = AtomicLong(0)
+//    val totalT = AtomicLong(0)
+//
+//    analyzer.getEventsWithDelay(point.firstBlock, meta ).filter { pair -> pair.second >= 3000 }
+//        .forEach { pair ->
+//            totalN.incrementAndGet()
+//            //TODO add progress listener here
+//            totalT.addAndGet(pair.second)
+//        }
+//
+//    val time = totalT.get()
+
+    println(time / 1e9)
+
+//
+//    val cr = 80.0
+//    val length = 5e9.toLong()
+//    val num = 6
+//    val dt = 6.5
+//
+//    val start = Instant.now()
+//
+//    val generator = SynchronizedRandomGenerator(JDKRandomGenerator(2223))
+//
+//    repeat(100) {
+//
+//        val point = (1..num).map {
+//            Global.generate {
+//                NumassGenerator
+//                    .generateEvents(cr , rnd = generator)
+////                    .withDeadTime { (dt * 1000).toLong() }
+//                    .generateBlock(start.plusNanos(it * length), length)
+//            }
+//        }.join(Global) { blocks ->
+//            SimpleNumassPoint.build(blocks, 12000.0)
+//        }.get()
+//
+//
+//        println(analyzer.analyze(point, meta))
+//
+//    }
+}

numass-main/src/main/kotlin/inr/numass/scripts/tristan/AnalyzeTristan.kt

@@ -1,5 +1,8 @@
 package inr.numass.scripts.tristan
 
+import hep.dataforge.context.Global
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
 import inr.numass.data.ProtoNumassPoint
 import inr.numass.data.plotAmplitudeSpectrum
 import inr.numass.data.transformChain
@@ -7,19 +10,22 @@ import kotlinx.coroutines.runBlocking
 import java.io.File
 
 fun main(args: Array<String>) {
-    val file = File("D:\\Work\\Numass\\data\\TRISTAN_11_2017\\df\\gun_16_19.df").toPath()
+    Global.output = FXOutputManager()
+    JFreeChartPlugin().startGlobal()
+
+    val file = File("D:\\Work\\Numass\\data\\2018_04\\Fill_3\\set_4\\p129(30s)(HV1=13000)").toPath()
     val point = ProtoNumassPoint.readFile(file)
-    point.plotAmplitudeSpectrum()
+    Global.plotAmplitudeSpectrum(point)
 
     point.blocks.firstOrNull { it.channel == 0 }?.let {
-        it.plotAmplitudeSpectrum(plotName = "0") {
+        Global.plotAmplitudeSpectrum(it, plotName = "0") {
             "title" to "pixel 0"
             "binning" to 50
         }
     }
 
     point.blocks.firstOrNull { it.channel == 4 }?.let {
-        it.plotAmplitudeSpectrum(plotName = "4") {
+        Global.plotAmplitudeSpectrum(it, plotName = "4") {
             "title" to "pixel 4"
             "binning" to 50
         }
@@ -29,7 +35,7 @@ fun main(args: Array<String>) {
     runBlocking {
         listOf(0, 20, 50, 100, 200).forEach { window ->
 
-            point.transformChain { first, second ->
+            Global.plotAmplitudeSpectrum(point.transformChain { first, second ->
                 val dt = second.timeOffset - first.timeOffset
                 if (second.channel == 4 && first.channel == 0 && dt > window && dt < 1000) {
                     Pair((first.amplitude + second.amplitude).toShort(), second.timeOffset)
@@ -38,7 +44,7 @@ fun main(args: Array<String>) {
                 }
             }.also {
                 println("Number of events for $window is ${it.events.count()}")
-            }.plotAmplitudeSpectrum(plotName = "filtered.before.$window") {
+            }, plotName = "filtered.before.$window") {
                 "binning" to 50
             }
 
@@ -46,7 +52,7 @@ fun main(args: Array<String>) {
 
         listOf(0, 20, 50, 100, 200).forEach { window ->
 
-            point.transformChain { first, second ->
+            Global.plotAmplitudeSpectrum(point.transformChain { first, second ->
                 val dt = second.timeOffset - first.timeOffset
                 if (second.channel == 0 && first.channel == 4 && dt > window && dt < 1000) {
                     Pair((first.amplitude + second.amplitude).toShort(), second.timeOffset)
@@ -55,11 +61,13 @@ fun main(args: Array<String>) {
                 }
             }.also {
                 println("Number of events for $window is ${it.events.count()}")
-            }.plotAmplitudeSpectrum(plotName = "filtered.after.$window") {
+            }, plotName = "filtered.after.$window") {
                 "binning" to 50
             }
 
         }
 
     }
+
+    readLine()
 }

numass-main/src/main/kotlin/inr/numass/scripts/tristan/TristanAnalyzer.kt

@@ -0,0 +1,51 @@
+package inr.numass.scripts.tristan
+
+import hep.dataforge.meta.Meta
+import hep.dataforge.meta.value
+import hep.dataforge.useValue
+import inr.numass.data.analyzers.TimeAnalyzer
+import inr.numass.data.api.NumassBlock
+import inr.numass.data.api.NumassEvent
+
+object TristanAnalyzer : TimeAnalyzer() {
+    override fun getEvents(block: NumassBlock, meta: Meta): List<NumassEvent> {
+        val t0 = getT0(block, meta).toLong()
+        val summTime = meta.getInt("summTime", 200) //time limit in nanos for event summation
+        var sequence = sequence {
+            var last: NumassEvent? = null
+            var amp: Int = 0
+            getEventsWithDelay(block, meta).forEach { (event, time) ->
+                when {
+                    last == null -> {
+                        last = event
+                    }
+                    time < 0 -> error("Can't be")
+                    time < summTime -> {
+                        //add to amplitude
+                        amp += event.amplitude
+                    }
+                    time > t0 -> {
+                        //accept new event and reset summator
+                        if (amp != 0) {
+                            //construct new event with pileup
+                            yield(NumassEvent(amp.toShort(), last!!.timeOffset, last!!.owner))
+                        } else {
+                            //yield event without changes if there is no pileup
+                            yield(last!!)
+                        }
+                        last = event
+                        amp = event.amplitude.toInt()
+                    }
+                    //else ignore event
+                }
+            }
+        }
+
+        meta.useValue("allowedChannels"){
+            val list = it.list.map { it.int }
+            sequence = sequence.filter { it.channel in list }
+        }
+
+        return  sequence.toList()
+    }
+}

numass-main/src/main/kotlin/inr/numass/scripts/tristan/ViewPoint.kt

@@ -1,5 +1,8 @@
 package inr.numass.scripts.tristan
 
+import hep.dataforge.context.Global
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
 import inr.numass.data.ProtoNumassPoint
 import inr.numass.data.api.MetaBlock
 import inr.numass.data.api.NumassBlock
@@ -18,11 +21,17 @@ private fun NumassPoint.getChannels(): Map<Int, NumassBlock> {
     }
 }
 
-fun main(args: Array<String>) {
-    val file = File("D:\\Work\\Numass\\data\\17kV\\processed.df").toPath()
+fun main() {
+    val file = File("D:\\Work\\Numass\\data\\2018_04\\Fill_3\\set_4\\p129(30s)(HV1=13000)").toPath()
     val point = ProtoNumassPoint.readFile(file)
     println(point.meta)
-    point.getChannels().forEach{ num, block ->
-        block.plotAmplitudeSpectrum(plotName = num.toString())
+
+    Global.output = FXOutputManager()
+    JFreeChartPlugin().startGlobal()
+
+    point.getChannels().forEach{ (num, block) ->
+        Global.plotAmplitudeSpectrum(numassBlock = block, plotName = num.toString())
     }
+
+    readLine()
 }

numass-main/src/main/kotlin/inr/numass/scripts/tristan/checkCorrelations.kt

@@ -0,0 +1,41 @@
+package inr.numass.scripts.tristan
+
+import hep.dataforge.context.Global
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.fx.plots.group
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
+import hep.dataforge.plots.output.plotFrame
+import inr.numass.data.plotAmplitudeSpectrum
+import inr.numass.data.storage.readNumassSet
+import java.io.File
+
+fun main() {
+    Global.output = FXOutputManager()
+    JFreeChartPlugin().startGlobal()
+
+    val file = File("D:\\Work\\Numass\\data\\2018_04\\Fill_3\\set_36").toPath()
+    val set = Global.readNumassSet(file)
+
+
+    Global.plotFrame("compare") {
+        listOf(12000.0, 13000.0, 14000.0, 14900.0).forEach {voltage->
+            val point = set.optPoint(voltage).get()
+
+            group("${set.name}/p${point.index}[${point.voltage}]") {
+                plotAmplitudeSpectrum(point, "cut", analyzer = TristanAnalyzer) {
+//                    "t0" to 3e3
+                    "summTime" to 200
+                    "sortEvents" to true
+                    "inverted" to false
+                }
+                plotAmplitudeSpectrum(point, "uncut",analyzer = TristanAnalyzer){
+                    "summTime" to 0
+                    "sortEvents" to true
+                    "inverted" to false
+                }
+            }
+        }
+    }
+
+    readLine()
+}

numass-main/src/main/kotlin/inr/numass/scripts/tristan/interpolateBump.kt

@@ -0,0 +1,35 @@
+package inr.numass.scripts.tristan
+
+import hep.dataforge.context.Global
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.fx.plots.group
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
+import hep.dataforge.plots.output.plotFrame
+import inr.numass.data.plotAmplitudeSpectrum
+import inr.numass.data.storage.readNumassSet
+import java.io.File
+
+fun main() {
+    Global.output = FXOutputManager()
+    JFreeChartPlugin().startGlobal()
+
+    val file = File("D:\\Work\\Numass\\data\\2018_04\\Fill_3\\set_36").toPath()
+    val set = Global.readNumassSet(file)
+
+
+    Global.plotFrame("compare") {
+        listOf(12000.0, 13000.0, 14000.0, 14900.0).forEach {voltage->
+            val point = set.optPoint(voltage).get()
+
+            group("${set.name}/p${point.index}[${point.voltage}]") {
+                plotAmplitudeSpectrum(point, "cut") {
+                    "t0" to 3e3
+                    "sortEvents" to true
+                }
+                plotAmplitudeSpectrum(point, "uncut")
+            }
+        }
+    }
+
+    readLine()
+}

numass-main/src/main/kotlin/inr/numass/scripts/tristan/zeroPad.kt

@@ -0,0 +1,36 @@
+package inr.numass.scripts.tristan
+
+import hep.dataforge.context.Global
+import hep.dataforge.fx.output.FXOutputManager
+import hep.dataforge.fx.plots.group
+import hep.dataforge.plots.jfreechart.JFreeChartPlugin
+import hep.dataforge.plots.output.plotFrame
+import inr.numass.data.plotAmplitudeSpectrum
+import inr.numass.data.storage.readNumassSet
+import java.io.File
+
+fun main() {
+    Global.output = FXOutputManager()
+    JFreeChartPlugin().startGlobal()
+
+    val file = File("D:\\Work\\Numass\\data\\2018_04\\Fill_3\\set_36").toPath()
+    val set = Global.readNumassSet(file)
+
+
+    Global.plotFrame("compare") {
+        listOf(12000.0, 13000.0, 14000.0, 14900.0).forEach {voltage->
+            val point = set.optPoint(voltage).get()
+            val block = point.channel(0)!!
+
+            group("${set.name}/p${point.index}[${point.voltage}]") {
+                plotAmplitudeSpectrum(block, "cut") {
+                    "t0" to 3e3
+                    "sortEvents" to true
+                }
+                plotAmplitudeSpectrum(block, "uncut")
+            }
+        }
+    }
+
+    readLine()
+}

numass-main/src/main/kotlin/inr/numass/scripts/utils/ScriptUtils.kt

@@ -0,0 +1,2 @@
+package inr.numass.scripts.utils
+

numass-main/src/main/kotlin/inr/numass/subthreshold/Threshold.kt

@@ -6,17 +6,16 @@ import hep.dataforge.data.DataNode
 import hep.dataforge.data.DataSet
 import hep.dataforge.meta.Meta
 import hep.dataforge.meta.buildMeta
+import hep.dataforge.nullable
 import hep.dataforge.storage.Storage
 import hep.dataforge.tables.ListTable
 import hep.dataforge.tables.Table
+import hep.dataforge.toList
 import hep.dataforge.values.ValueMap
 import hep.dataforge.values.Values
-import inr.numass.data.analyzers.NumassAnalyzer
+import inr.numass.data.analyzers.*
 import inr.numass.data.analyzers.NumassAnalyzer.Companion.CHANNEL_KEY
 import inr.numass.data.analyzers.NumassAnalyzer.Companion.COUNT_RATE_KEY
-import inr.numass.data.analyzers.SmartAnalyzer
-import inr.numass.data.analyzers.TimeAnalyzer
-import inr.numass.data.analyzers.withBinning
 import inr.numass.data.api.NumassPoint
 import inr.numass.data.api.NumassSet
 import inr.numass.data.api.SimpleNumassPoint
@@ -27,7 +26,9 @@ import org.apache.commons.math3.analysis.ParametricUnivariateFunction
 import org.apache.commons.math3.exception.DimensionMismatchException
 import org.apache.commons.math3.fitting.SimpleCurveFitter
 import org.apache.commons.math3.fitting.WeightedObservedPoint
+import org.slf4j.LoggerFactory
 import java.util.stream.Collectors
+import java.util.stream.StreamSupport
 
 
 object Threshold {
@@ -37,13 +38,13 @@ object Threshold {
         //creating storage instance
         val storage = NumassDirectory.read(context, meta.getString("data.dir")) as Storage
 
-        fun Storage.loaders(): Sequence<NumassDataLoader>{
+        fun Storage.loaders(): Sequence<NumassDataLoader> {
             return sequence<NumassDataLoader> {
                 print("Reading ${this@loaders.fullName}")
                 runBlocking { this@loaders.children }.forEach {
-                    if(it is NumassDataLoader){
+                    if (it is NumassDataLoader) {
                         yield(it)
-                    } else if (it is Storage){
+                    } else if (it is Storage) {
                         yieldAll(it.loaders())
                     }
                 }
@@ -53,19 +54,19 @@ object Threshold {
         //Reading points
         //Free operation. No reading done
         val sets = storage.loaders()
-                .filter { it.fullName.toString().matches(meta.getString("data.mask").toRegex()) }
+            .filter { it.fullName.toString().matches(meta.getString("data.mask").toRegex()) }
 
         val analyzer = TimeAnalyzer();
 
         val data = DataSet.edit(NumassPoint::class).also { dataBuilder ->
             sets.sortedBy { it.startTime }
-                    .flatMap { set -> set.points.asSequence() }
-                    .groupBy { it.voltage }
-                    .forEach { key, value ->
-                        val point = SimpleNumassPoint(value, key)
-                        val name = key.toInt().toString()
-                        dataBuilder.putStatic(name, point, buildMeta("meta", "voltage" to key));
-                    }
+                .flatMap { set -> set.points.asSequence() }
+                .groupBy { it.voltage }
+                .forEach { key, value ->
+                    val point = SimpleNumassPoint.build(value, key)
+                    val name = key.toInt().toString()
+                    dataBuilder.putStatic(name, point, buildMeta("meta", "voltage" to key));
+                }
         }.build()
 
         return data.pipe(context, meta) {
@@ -92,13 +93,14 @@ object Threshold {
 //        )
 
         return binned.rows
-                .map {
-                    WeightedObservedPoint(
-                            1.0,//1d / p.getValue() , //weight
-                            it.getDouble(CHANNEL_KEY), // x
-                            it.getDouble(COUNT_RATE_KEY) / binning) //y
-                }
-                .collect(Collectors.toList())
+            .map {
+                WeightedObservedPoint(
+                    1.0,//1d / p.getValue() , //weight
+                    it.getDouble(CHANNEL_KEY), // x
+                    it.getDouble(COUNT_RATE_KEY) / binning
+                ) //y
+            }
+            .collect(Collectors.toList())
     }
 
     private fun norm(spectrum: Table, xLow: Int, upper: Int): Double {
@@ -134,11 +136,10 @@ object Threshold {
     }
 
 
-
     /**
      * Exponential function $a e^{\frac{x}{\sigma}}$
      */
-    private fun exponential(spectrum: Table, voltage: Double, config: Meta): Values {
+    private fun exponential(point: NumassPoint, spectrum: Table, config: Meta): Values {
         val xLow: Int = config.getInt("xLow", 400)
         val xHigh: Int = config.getInt("xHigh", 700)
         val upper: Int = config.getInt("upper", 3100)
@@ -151,10 +152,11 @@ object Threshold {
         val norm = norm(spectrum, xLow, upper)
 
         return ValueMap.ofPairs(
-                "U" to voltage,
-                "a" to a,
-                "sigma" to sigma,
-                "correction" to a * sigma * Math.exp(xLow / sigma) / norm + 1.0
+            "index" to point.index,
+            "U" to point.voltage,
+            "a" to a,
+            "sigma" to sigma,
+            "correction" to a * sigma * Math.exp(xLow / sigma) / norm + 1.0
         )
     }
 
@@ -175,14 +177,14 @@ object Threshold {
             val delta = shift ?: parameters[2]
             return if (parameters.size > 2) {
                 doubleArrayOf(
-                        Math.pow(x - delta, beta),
-                        a * Math.pow(x - delta, beta) * Math.log(x - delta),
-                        -a * beta * Math.pow(x - delta, beta - 1)
+                    Math.pow(x - delta, beta),
+                    a * Math.pow(x - delta, beta) * Math.log(x - delta),
+                    -a * beta * Math.pow(x - delta, beta - 1)
                 )
             } else {
                 doubleArrayOf(
-                        Math.pow(x - delta, beta),
-                        a * Math.pow(x - delta, beta) * Math.log(x - delta)
+                    Math.pow(x - delta, beta),
+                    a * Math.pow(x - delta, beta) * Math.log(x - delta)
                 )
             }
         }
@@ -191,7 +193,7 @@ object Threshold {
     /**
      * Power function $a (x-\delta)^{\beta}
      */
-    private fun power(spectrum: Table, voltage: Double, config: Meta): Values {
+    private fun power(point: NumassPoint, spectrum: Table, config: Meta): Values {
         val xLow: Int = config.getInt("xLow", 400)
         val xHigh: Int = config.getInt("xHigh", 700)
         val upper: Int = config.getInt("upper", 3100)
@@ -208,27 +210,51 @@ object Threshold {
         val norm = norm(spectrum, xLow, upper)
 
         return ValueMap.ofPairs(
-                "U" to voltage,
-                "a" to a,
-                "beta" to beta,
-                "delta" to delta,
-                "correction" to a / (beta + 1) * Math.pow(xLow - delta, beta + 1.0) / norm + 1.0
+            "index" to point.index,
+            "U" to point.voltage,
+            "a" to a,
+            "beta" to beta,
+            "delta" to delta,
+            "correction" to a / (beta + 1) * Math.pow(xLow - delta, beta + 1.0) / norm + 1.0
         )
     }
 
-    fun calculateSubThreshold(spectrum: Table, voltage: Double, config: Meta): Values {
+    fun calculateSubThreshold(point: NumassPoint, spectrum: Table, config: Meta): Values {
         return when (config.getString("method", "exp")) {
-            "exp" -> exponential(spectrum, voltage, config)
-            "pow" -> power(spectrum, voltage, config)
+            "exp" -> exponential(point, spectrum, config)
+            "pow" -> power(point, spectrum, config)
             else -> throw RuntimeException("Unknown sub threshold calculation method")
         }
     }
 
     fun calculateSubThreshold(set: NumassSet, config: Meta, analyzer: NumassAnalyzer = SmartAnalyzer()): Table {
+        val reference = config.optNumber("reference").nullable?.let {
+            set.getPoints(it.toDouble()).firstOrNull() ?: error("Reference point not found")
+        }?.let {
+            println("Using reference point ${it.voltage}")
+            analyzer.getAmplitudeSpectrum(it, config)
+        }
+
         return ListTable.Builder().apply {
-            set.forEach{
-                val spectrum = analyzer.getAmplitudeSpectrum(it,config)
-                row(calculateSubThreshold(spectrum,it.voltage,config))
+            StreamSupport.stream(set.spliterator(), true).map { point ->
+                LoggerFactory.getLogger(Threshold.javaClass).info("Starting point ${point.voltage}")
+                val spectrum = analyzer.getAmplitudeSpectrum(point, config).let {
+                    if (reference == null) {
+                        it
+                    } else {
+                        subtractAmplitudeSpectrum(it, reference)
+                    }
+                }
+                LoggerFactory.getLogger(Threshold.javaClass).info("Calculating threshold ${point.voltage}")
+                return@map try {
+                    calculateSubThreshold(point, spectrum, config)
+                } catch (ex: Exception) {
+                    LoggerFactory.getLogger(Threshold.javaClass).error("Failed to fit point ${point.voltage}", ex)
+                    null
+                }
+            }.toList().filterNotNull().forEach {
+                println(it.toString())
+                row(it)
             }
         }.build()
     }

numass-main/src/main/kotlin/inr/numass/tasks/NumassTasks.kt

@@ -1,14 +1,9 @@
 package inr.numass.tasks
 
 import hep.dataforge.configure
-import hep.dataforge.data.CustomDataFilter
-import hep.dataforge.data.DataSet
-import hep.dataforge.data.DataTree
-import hep.dataforge.data.DataUtils
+import hep.dataforge.data.*
 import hep.dataforge.io.output.stream
 import hep.dataforge.io.render
-import hep.dataforge.meta.Meta
-import hep.dataforge.meta.MetaUtils
 import hep.dataforge.meta.buildMeta
 import hep.dataforge.nullable
 import hep.dataforge.plots.data.DataPlot
@@ -22,19 +17,21 @@ import hep.dataforge.stat.fit.FitResult
 import hep.dataforge.stat.models.XYModel
 import hep.dataforge.tables.*
 import hep.dataforge.useMeta
+import hep.dataforge.useValue
 import hep.dataforge.values.ValueType
 import hep.dataforge.values.Values
 import hep.dataforge.values.asValue
+import hep.dataforge.values.edit
 import hep.dataforge.workspace.tasks.task
 import inr.numass.NumassUtils
 import inr.numass.actions.MergeDataAction
 import inr.numass.actions.MergeDataAction.MERGE_NAME
 import inr.numass.actions.TransformDataAction
 import inr.numass.addSetMarkers
-import inr.numass.data.analyzers.NumassAnalyzer
 import inr.numass.data.analyzers.NumassAnalyzer.Companion.CHANNEL_KEY
 import inr.numass.data.analyzers.NumassAnalyzer.Companion.COUNT_KEY
 import inr.numass.data.analyzers.SmartAnalyzer
+import inr.numass.data.analyzers.countInWindow
 import inr.numass.data.api.MetaBlock
 import inr.numass.data.api.NumassPoint
 import inr.numass.data.api.NumassSet
@@ -49,10 +46,17 @@ import java.util.stream.StreamSupport
 import kotlin.collections.HashMap
 import kotlin.collections.set
 
+private val filterForward = DataFilter.byMetaValue("iteration_info.reverse") {
+    !(it?.boolean ?: false)
+}
+private val filterReverse = DataFilter.byMetaValue("iteration_info.reverse") {
+    it?.boolean ?: false
+}
 
 val selectTask = task("select") {
     descriptor {
         info = "Select data from initial data pool"
+        value("forward", types = listOf(ValueType.BOOLEAN), info = "Select only forward or only backward sets")
     }
     model { meta ->
         data("*")
@@ -60,9 +64,18 @@ val selectTask = task("select") {
     }
     transform<NumassSet> { data ->
         logger.info("Starting selection from data node with size ${data.size}")
-        CustomDataFilter(meta).filter(data.checked(NumassSet::class.java)).also {
-            logger.info("Selected ${it.size} elements")
+        var res = data.checked(NumassSet::class.java).filter(CustomDataFilter(meta))
+
+        meta.useValue("forward") {
+            res = if (it.boolean) {
+                res.filter(filterForward)
+            } else {
+                res.filter(filterReverse)
+            }
         }
+
+        logger.info("Selected ${res.size} elements")
+        res
     }
 }
 
@@ -71,41 +84,57 @@ val analyzeTask = task("analyze") {
         info = "Count the number of events for each voltage and produce a table with the results"
     }
     model { meta ->
-        dependsOn(selectTask, meta);
-        configure(MetaUtils.optEither(meta, "analyzer", "prepare").orElse(Meta.empty()))
+        dependsOn(selectTask, meta)
+        configure {
+            "analyzer" to meta.getMetaOrEmpty("analyzer")
+        }
     }
     pipe<NumassSet, Table> { set ->
-        SmartAnalyzer().analyzeSet(set, meta).also { res ->
-            val outputMeta = meta.builder.putNode("data", set.meta)
-            context.output.render(res, stage = "numass.analyze", name = name, meta = outputMeta)
-        }
+        val res = SmartAnalyzer().analyzeSet(set, meta.getMeta("analyzer"))
+        val outputMeta = meta.builder.putNode("data", set.meta)
+        context.output.render(res, stage = "numass.analyze", name = name, meta = outputMeta)
+        return@pipe res
     }
 }
 
 val monitorTableTask = task("monitor") {
     descriptor {
         value("showPlot", types = listOf(ValueType.BOOLEAN), info = "Show plot after complete")
-        value("monitorVoltage", types = listOf(ValueType.NUMBER), info = "The voltage for monitor point")
+        value("monitorPoint", types = listOf(ValueType.NUMBER), info = "The voltage for monitor point")
     }
     model { meta ->
         dependsOn(selectTask, meta)
+//        if (meta.getBoolean("monitor.correctForThreshold", false)) {
+//            dependsOn(subThresholdTask, meta, "threshold")
+//        }
         configure(meta.getMetaOrEmpty("monitor"))
         configure {
             meta.useMeta("analyzer") { putNode(it) }
+            setValue("@target", meta.getString("@target", meta.name))
         }
     }
     join<NumassSet, Table> { data ->
-        val monitorVoltage = meta.getDouble("monitorVoltage", 16000.0);
+        val monitorVoltage = meta.getDouble("monitorPoint", 16000.0);
         val analyzer = SmartAnalyzer()
         val analyzerMeta = meta.getMetaOrEmpty("analyzer")
+
+        //val thresholdCorrection = da
         //TODO add separator labels
-        val res = ListTable.Builder("timestamp", "count", "cr", "crErr")
-                .rows(
-                        data.values.stream().parallel()
-                                .flatMap { it.points.stream() }
-                                .filter { it.voltage == monitorVoltage }
-                                .map { it -> analyzer.analyzeParent(it, analyzerMeta) }
-                ).build()
+        val res = ListTable.Builder("timestamp", "count", "cr", "crErr", "index", "set")
+            .rows(
+                data.values.stream().flatMap { set ->
+                    set.points.stream()
+                        .filter { it.voltage == monitorVoltage }
+                        .parallel()
+                        .map { point ->
+                            analyzer.analyzeParent(point, analyzerMeta).edit {
+                                "index" to point.index
+                                "set" to set.name
+                            }
+                        }
+                }
+
+            ).build()
 
         if (meta.getBoolean("showPlot", true)) {
             val plot = DataPlot.plot(name, res, Adapters.buildXYAdapter("timestamp", "cr", "crErr"))
@@ -115,10 +144,11 @@ val monitorTableTask = task("monitor") {
                 "yAxis.title" to "Count rate"
                 "yAxis.units" to "Hz"
             }
+
             ((context.output["numass.monitor", name] as? PlotOutput)?.frame as? JFreeChartFrame)?.addSetMarkers(data.values)
         }
 
-        context.output["numass.monitor", name].render(NumassUtils.wrap(res, meta))
+        context.output.render(res, stage = "numass.monitor", name = name, meta = meta)
 
         return@join res;
     }
@@ -126,7 +156,7 @@ val monitorTableTask = task("monitor") {
 
 val mergeTask = task("merge") {
     model { meta ->
-        dependsOn(analyzeTask, meta)
+        dependsOn(transformTask, meta)
         configure(meta.getMetaOrEmpty("merge"))
     }
     action(MergeDataAction)
@@ -139,10 +169,10 @@ val mergeEmptyTask = task("empty") {
         }
         //replace data node by "empty" node
         val newMeta = meta.builder
-                .removeNode("data")
-                .removeNode("empty")
-                .setNode("data", meta.getMeta("empty"))
-                .setValue("merge.$MERGE_NAME", meta.getString("merge.$MERGE_NAME", "") + "_empty");
+            .removeNode("data")
+            .removeNode("empty")
+            .setNode("data", meta.getMeta("empty"))
+            .setValue("merge.$MERGE_NAME", meta.getString("merge.$MERGE_NAME", "") + "_empty")
         dependsOn(mergeTask, newMeta)
     }
     transform<Table> { data ->
@@ -158,13 +188,18 @@ val mergeEmptyTask = task("empty") {
 val subtractEmptyTask = task("dif") {
     model { meta ->
         dependsOn(mergeTask, meta, "data")
-        dependsOn(mergeEmptyTask, meta, "empty")
+        if (meta.hasMeta("empty")) {
+            dependsOn(mergeEmptyTask, meta, "empty")
+        }
     }
     transform<Table> { data ->
+        //ignore if there is no empty data
+        if (!meta.hasMeta("empty")) return@transform data
+
         val builder = DataTree.edit(Table::class)
         val rootNode = data.getCheckedNode("data", Table::class.java)
         val empty = data.getCheckedNode("empty", Table::class.java).data
-                ?: throw RuntimeException("No empty data found")
+            ?: throw RuntimeException("No empty data found")
 
         rootNode.visit(Table::class.java) { input ->
             val resMeta = buildMeta {
@@ -185,34 +220,36 @@ val subtractEmptyTask = task("dif") {
 
 val transformTask = task("transform") {
     model { meta ->
-        if (meta.hasMeta("merge")) {
-            if (meta.hasMeta("empty")) {
-                dependsOn(subtractEmptyTask, meta)
-            } else {
-                dependsOn(mergeTask, meta);
-            }
-        } else {
-            dependsOn(analyzeTask, meta);
-        }
+        dependsOn(analyzeTask, meta)
     }
-    action<Table, Table>(TransformDataAction)
+    action(TransformDataAction)
 }
 
 val filterTask = task("filter") {
     model { meta ->
-        dependsOn(transformTask, meta)
+        if (meta.hasMeta("merge")) {
+            dependsOn(subtractEmptyTask, meta)
+        } else {
+            dependsOn(analyzeTask, meta)
+        }
+        configure(meta.getMetaOrEmpty("filter"))
     }
     pipe<Table, Table> { data ->
-        if (meta.hasValue("from") || meta.hasValue("to")) {
+
+        if(meta.isEmpty) return@pipe data
+
+        val result = if (meta.hasValue("from") || meta.hasValue("to")) {
             val uLo = meta.getDouble("from", 0.0)
             val uHi = meta.getDouble("to", java.lang.Double.POSITIVE_INFINITY)
-            this.log.report("Filtering finished")
             Tables.filter(data, NumassPoint.HV_KEY, uLo, uHi)
         } else if (meta.hasValue("condition")) {
             Tables.filter(data, Predicate { ExpressionUtils.condition(meta.getString("condition"), it.unbox()) })
         } else {
             throw RuntimeException("No filtering condition specified")
         }
+
+        context.output.render(result, name = this.name, stage = "numass.filter")
+        return@pipe result
     }
 
 }
@@ -230,16 +267,16 @@ val fitTask = task("fit") {
             writer.flush()
 
             FitHelper(context).fit(data, meta)
-                    .setListenerStream(out)
-                    .report(log)
-                    .run()
-                    .also {
-                        if (meta.getBoolean("printLog", true)) {
-                            writer.println()
-                            log.entries.forEach { entry -> writer.println(entry.toString()) }
-                            writer.println()
-                        }
+                .setListenerStream(out)
+                .report(log)
+                .run()
+                .also {
+                    if (meta.getBoolean("printLog", true)) {
+                        writer.println()
+                        log.entries.forEach { entry -> writer.println(entry.toString()) }
+                        writer.println()
                     }
+                }
         }
     }
 }
@@ -262,7 +299,7 @@ val plotFitTask = task("plotFit") {
 
         // ensuring all data points are calculated explicitly
         StreamSupport.stream<Values>(data.spliterator(), false)
-                .map { dp -> Adapters.getXValue(adapter, dp).double }.sorted().forEach { fit.calculateIn(it) }
+            .map { dp -> Adapters.getXValue(adapter, dp).double }.sorted().forEach { fit.calculateIn(it) }
 
         val dataPlot = DataPlot.plot("data", data, adapter)
 
@@ -275,9 +312,24 @@ val plotFitTask = task("plotFit") {
 val histogramTask = task("histogram") {
     descriptor {
         value("plot", types = listOf(ValueType.BOOLEAN), defaultValue = false, info = "Show plot of the spectra")
-        value("points", multiple = true, types = listOf(ValueType.NUMBER), info = "The list of point voltages to build histogram")
-        value("binning", types = listOf(ValueType.NUMBER), defaultValue = 20, info = "The binning of resulting histogram")
-        value("normalize", types = listOf(ValueType.BOOLEAN), defaultValue = true, info = "If true reports the count rate in each bin, otherwise total count")
+        value(
+            "points",
+            multiple = true,
+            types = listOf(ValueType.NUMBER),
+            info = "The list of point voltages to build histogram"
+        )
+        value(
+            "binning",
+            types = listOf(ValueType.NUMBER),
+            defaultValue = 16,
+            info = "The binning of resulting histogram"
+        )
+        value(
+            "normalize",
+            types = listOf(ValueType.BOOLEAN),
+            defaultValue = true,
+            info = "If true reports the count rate in each bin, otherwise total count"
+        )
         info = "Combine amplitude spectra from multiple sets, but with the same U"
     }
     model { meta ->
@@ -299,41 +351,41 @@ val histogramTask = task("histogram") {
 
         //Fill values to table
         data.flatMap { it.value.points }
-                .filter { points == null || points.contains(it.voltage) }
-                .groupBy { it.voltage }
-                .mapValues {
-                    analyzer.getAmplitudeSpectrum(MetaBlock(it.value))
-                }
-                .forEach { u, spectrum ->
-                    log.report("Aggregating data from U = $u")
-                    spectrum.forEach {
-                        val channel = it[CHANNEL_KEY].int
-                        val count = it[COUNT_KEY].long
-                        aggregator.getOrPut(channel) { HashMap() }
-                                .getOrPut(u) { AtomicLong() }
-                                .addAndGet(count)
-                    }
-                    names.add("U$u")
+            .filter { points == null || points.contains(it.voltage) }
+            .groupBy { it.voltage }
+            .mapValues { (_, value) ->
+                analyzer.getAmplitudeSpectrum(MetaBlock(value), meta.getMetaOrEmpty("analyzer"))
+            }
+            .forEach { (u, spectrum) ->
+                log.report("Aggregating data from U = $u")
+                spectrum.forEach {
+                    val channel = it[CHANNEL_KEY].int
+                    val count = it[COUNT_KEY].long
+                    aggregator.getOrPut(channel) { HashMap() }
+                        .getOrPut(u) { AtomicLong() }
+                        .addAndGet(count)
                 }
+                names.add("U$u")
+            }
 
         val times: Map<Double, Double> = data.flatMap { it.value.points }
-                .filter { points == null || points.contains(it.voltage) }
-                .groupBy { it.voltage }
-                .mapValues {
-                    it.value.sumByDouble { it.length.toMillis().toDouble() / 1000 }
-                }
+            .filter { points == null || points.contains(it.voltage) }
+            .groupBy { it.voltage }
+            .mapValues {
+                it.value.sumByDouble { it.length.toMillis().toDouble() / 1000 }
+            }
 
         val normalize = meta.getBoolean("normalize", true)
 
         log.report("Combining spectra")
         val format = MetaTableFormat.forNames(names)
         val table = buildTable(format) {
-            aggregator.forEach { channel, counters ->
+            aggregator.forEach { (channel, counters) ->
                 val values: MutableMap<String, Any> = HashMap()
-                values[NumassAnalyzer.CHANNEL_KEY] = channel
-                counters.forEach { u, counter ->
+                values[CHANNEL_KEY] = channel
+                counters.forEach { (u, counter) ->
                     if (normalize) {
-                        values["U$u"] = counter.get().toDouble() / times[u]!!
+                        values["U$u"] = counter.get().toDouble() / times.getValue(u)
                     } else {
                         values["U$u"] = counter.get()
                     }
@@ -343,10 +395,18 @@ val histogramTask = task("histogram") {
                 }
                 row(values)
             }
-        }.sumByStep(NumassAnalyzer.CHANNEL_KEY, meta.getDouble("binning", 20.0))        //apply binning
+        }.sumByStep(CHANNEL_KEY, meta.getDouble("binning", 16.0))        //apply binning
 
         // send raw table to the output
-        context.output.render(table, stage = "numass.histogram", name = name, meta = meta)
+        context.output.render(table, stage = "numass.histogram", name = name) {
+            update(meta)
+            data.toSortedMap().forEach { (name, set) ->
+                putNode("data", buildMeta {
+                    "name" to name
+                    set.meta.useMeta("iteration_info") { "iteration" to it }
+                })
+            }
+        }
 
         if (meta.getBoolean("plot", false)) {
             context.plotFrame("$name.plot", stage = "numass.histogram") {
@@ -363,6 +423,57 @@ val histogramTask = task("histogram") {
             }
         }
 
+        return@join table
+    }
+}
+
+val sliceTask = task("slice") {
+    model { meta ->
+        dependsOn(selectTask, meta)
+        configure(meta.getMetaOrEmpty("slice"))
+        configure {
+            meta.useMeta("analyzer") { putNode(it) }
+            setValue("@target", meta.getString("@target", meta.name))
+        }
+    }
+    join<NumassSet, Table> { data ->
+        val analyzer = SmartAnalyzer()
+        val slices = HashMap<String, IntRange>()
+        val formatBuilder = TableFormatBuilder()
+        formatBuilder.addColumn("set", ValueType.STRING)
+        formatBuilder.addColumn("time", ValueType.TIME)
+        meta.getMetaList("range").forEach {
+            val range = IntRange(it.getInt("from"), it.getInt("to"))
+            val name = it.getString("name", range.toString())
+            slices[name] = range
+            formatBuilder.addColumn(name, ValueType.NUMBER)
+        }
+
+        val table = buildTable(formatBuilder.build()) {
+            data.forEach { (setName, set) ->
+                val point = set.find {
+                    it.index == meta.getInt("index", -1) ||
+                            it.voltage == meta.getDouble("voltage", -1.0)
+                }
+
+                if (point != null) {
+                    val amplitudeSpectrum = analyzer.getAmplitudeSpectrum(point, meta.getMetaOrEmpty("analyzer"))
+                    val map = HashMap<String, Any>()
+                    map["set"] = setName
+                    map["time"] = point.startTime
+                    slices.mapValuesTo(map) { (_, range) ->
+                        amplitudeSpectrum.countInWindow(
+                            range.start.toShort(),
+                            range.endInclusive.toShort()
+                        )
+                    }
+
+                    row(map)
+                }
+            }
+        }
+        // send raw table to the output
+        context.output.render(table, stage = "numass.table", name = name, meta = meta)
 
         return@join table
     }
@@ -371,21 +482,20 @@ val histogramTask = task("histogram") {
 val fitScanTask = task("fitscan") {
     model { meta ->
         dependsOn(filterTask, meta)
-        configure{
+        configure {
             setNode(meta.getMetaOrEmpty("scan"))
             setNode(meta.getMeta("fit"))
         }
     }
 
     splitAction<Table, FitResult> {
-        val scanMeta = meta.getMeta("scan")
-        val scanValues = if (scanMeta.hasValue("masses")) {
-            scanMeta.getValue("masses").list.map { it -> Math.pow(it.double * 1000, 2.0).asValue() }
+        val scanValues = if (meta.hasValue("scan.masses")) {
+            meta.getValue("scan.masses").list.map { it -> Math.pow(it.double * 1000, 2.0).asValue() }
         } else {
-            scanMeta.getValue("values", listOf(2.5e5, 1e6, 2.25e6, 4e6, 6.25e6, 9e6)).list
+            meta.getValue("scan.values", listOf(2.5e5, 1e6, 2.25e6, 4e6, 6.25e6, 9e6)).list
         }
 
-        val scanParameter = scanMeta.getString("parameter", "msterile2")
+        val scanParameter = meta.getString("parameter", "msterile2")
         scanValues.forEach { scanValue ->
             val resultName = String.format("%s[%s=%s]", this.name, scanParameter, scanValue.string)
             val fitMeta = meta.getMeta("fit").builder.apply {
@@ -394,8 +504,8 @@ val fitScanTask = task("fitscan") {
                     setValue("params.$scanParameter.value", scanValue)
                 } else {
                     getMetaList("params.param").stream()
-                            .filter { par -> par.getString("name") == scanParameter }
-                            .forEach { it.setValue("value", it) }
+                        .filter { par -> par.getString("name") == scanParameter }
+                        .forEach { it.setValue("value", it) }
                 }
             }
 
@@ -408,16 +518,16 @@ val fitScanTask = task("fitscan") {
                         writer.flush()
 
                         FitHelper(context).fit(data, fitMeta)
-                                .setListenerStream(out)
-                                .report(log)
-                                .run()
-                                .also {
-                                    if (fitMeta.getBoolean("printLog", true)) {
-                                        writer.println()
-                                        log.entries.forEach { entry -> writer.println(entry.toString()) }
-                                        writer.println()
-                                    }
+                            .setListenerStream(out)
+                            .report(log)
+                            .run()
+                            .also {
+                                if (fitMeta.getBoolean("printLog", true)) {
+                                    writer.println()
+                                    log.entries.forEach { entry -> writer.println(entry.toString()) }
+                                    writer.println()
                                 }
+                            }
                     }
                 }
             }

numass-main/src/main/kotlin/inr/numass/tasks/SpecialNumassTasks.kt

@@ -0,0 +1,55 @@
+package inr.numass.tasks
+
+import hep.dataforge.io.render
+import hep.dataforge.plots.data.DataPlot
+import hep.dataforge.plots.output.plotFrame
+import hep.dataforge.plots.plotData
+import hep.dataforge.tables.Adapters
+import hep.dataforge.tables.Table
+import hep.dataforge.tables.filter
+import hep.dataforge.useMeta
+import hep.dataforge.values.ValueType
+import hep.dataforge.workspace.tasks.task
+import inr.numass.data.NumassDataUtils
+import inr.numass.data.api.NumassSet
+import inr.numass.subthreshold.Threshold
+
+val subThresholdTask = task("threshold") {
+    descriptor {
+        value("plot", types = listOf(ValueType.BOOLEAN), defaultValue = false, info = "Show threshold correction plot")
+        value(
+            "binning",
+            types = listOf(ValueType.NUMBER),
+            defaultValue = 16,
+            info = "The binning used for fit"
+        )
+        info = "Calculate sub threshold correction"
+    }
+    model { meta ->
+        dependsOn(selectTask, meta)
+        configure(meta.getMetaOrEmpty("threshold"))
+        configure {
+            meta.useMeta("analyzer") { putNode(it) }
+            setValue("@target", meta.getString("@target", meta.name))
+        }
+    }
+    join<NumassSet, Table> { data ->
+        val sum = NumassDataUtils.joinByIndex(name, data.values)
+
+        val correctionTable = Threshold.calculateSubThreshold(sum, meta).filter {
+            it.getDouble("correction") in (1.0..1.2)
+        }
+
+        if (meta.getBoolean("plot", false)) {
+            context.plotFrame("$name.plot", stage = "numass.threshold") {
+                plots.setType<DataPlot>()
+                plotData("${name}_cor", correctionTable, Adapters.buildXYAdapter("U", "correction"))
+                plotData("${name}_a", correctionTable, Adapters.buildXYAdapter("U", "a"))
+                plotData("${name}_beta", correctionTable, Adapters.buildXYAdapter("U", "beta"))
+            }
+        }
+
+        context.output.render(correctionTable, "numass.correction", name, meta = meta)
+        return@join correctionTable
+    }
+}

numass-viewer/build.gradle

@@ -5,6 +5,11 @@ repositories {
     mavenCentral()
 }
 
+//apply plugin: 'org.openjfx.javafxplugin'
+//
+//javafx {
+//    modules = [ 'javafx.controls' ]
+//}
 
 if (!hasProperty('mainClass')) {
     ext.mainClass = 'inr.numass.viewer.Viewer'//"inr.numass.viewer.test.TestApp"

numass-viewer/src/main/kotlin/inr/numass/viewer/AmplitudeView.kt

@@ -58,7 +58,7 @@ class AmplitudeView : View(title = "Numass amplitude spectrum plot", icon = Imag
 
 
     private val container = PlotContainer(frame).apply {
-        val binningSelector: ChoiceBox<Int> = ChoiceBox(FXCollections.observableArrayList(1, 2, 5, 10, 20, 50)).apply {
+        val binningSelector: ChoiceBox<Int> = ChoiceBox(FXCollections.observableArrayList(1, 2, 8, 16, 32, 50)).apply {
             minWidth = 0.0
             selectionModel.selectLast()
             binningProperty.bind(this.selectionModel.selectedItemProperty())

settings.gradle

@@ -15,6 +15,7 @@ include ":numass-core"
 
 include 'numass-core:numass-data-api'
 include 'numass-core:numass-data-proto'
+include 'numass-core:numass-signal-processing'
 
 //include ":numass-server"
 //