Polinomial corrections to spectrum.

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

@@ -5,69 +5,68 @@ import hep.dataforge.meta.buildMeta
 import hep.dataforge.nullable
 import hep.dataforge.plots.PlotGroup
 import hep.dataforge.plots.data.DataPlot
-import hep.dataforge.toList
 import inr.numass.NumassPlugin
 import inr.numass.data.analyzers.NumassAnalyzer
 import inr.numass.data.analyzers.SmartAnalyzer
 import inr.numass.data.analyzers.withBinning
 import inr.numass.data.api.NumassSet
-import inr.numass.data.api.SimpleBlock
 import inr.numass.data.storage.NumassDirectory
 import inr.numass.displayChart
-import kotlinx.coroutines.experimental.runBlocking
-import java.time.Duration
 
 /**
  * Investigating slices of single point for differences at the beginning and end
  */
 fun main(args: Array<String>) {
     val context = buildContext("NUMASS", NumassPlugin::class.java) {
-        rootDir = "D:\\Work\\Numass\\sterile\\2017_11"
-        dataDir = "D:\\Work\\Numass\\data\\2017_11"
+        rootDir = "D:\\Work\\Numass\\sterile\\2017_05"
+        dataDir = "D:\\Work\\Numass\\data\\2017_05_frames"
     }
     //val rootDir = File("D:\\Work\\Numass\\data\\2017_05\\Fill_2")
 
-    val storage = NumassDirectory.read(context, "Fill_3b") ?: error("Storage not found")
+    val storage = NumassDirectory.read(context, "Fill_3_events") ?: error("Storage not found")
 
 
     val analyzer = SmartAnalyzer()
 
     val meta = buildMeta {
         "t0" to 15e3
-        "window.lo" to 400
-        "window.up" to 1600
+//        "window.lo" to 400
+//        "window.up" to 1600
     }
 
-    val set = storage.provide("set_17", NumassSet::class.java).nullable ?: error("Set does not exist")
+    val set = storage.provide("set_58", NumassSet::class.java).nullable ?: error("Set does not exist")
 
     val frame = displayChart("slices").apply {
         plots.setType<DataPlot>()
         plots.configureValue("showLine", true)
     }
 
-    listOf(0,58,103).forEach { index ->
+    listOf(10, 58, 103).forEach { index ->
         val group = PlotGroup("point_$index")
         group.setType<DataPlot>()
         val point = set.find { it.index == index } ?: error("Point not found")
 
 
-        val blockSizes = point.meta.getValue("events").list.map { it.int }
-        val startTimes = point.meta.getValue("start_time").list.map { it.time }
+//        val blockSizes = point.meta.getValue("events").list.map { it.int }
+//        val startTimes = point.meta.getValue("start_time").list.map { it.time }
 
+        group.add(DataPlot.plot("spectrum", analyzer.getAmplitudeSpectrum(point, meta).withBinning(32), NumassAnalyzer.AMPLITUDE_ADAPTER))
 
-        runBlocking {
-            val events = point.events.toList()
-            var startIndex = 0
-            val blocks = blockSizes.zip(startTimes).map { (size, startTime) ->
-                SimpleBlock.produce(startTime, Duration.ofSeconds(5)) {
-                    events.subList(startIndex, startIndex + size)
-                }.also { startIndex += size }
-            }
-
-            blocks.forEachIndexed { index, block ->
-                group.add(DataPlot.plot("block_$index", analyzer.getAmplitudeSpectrum(block).withBinning(20), NumassAnalyzer.AMPLITUDE_ADAPTER))
-            }
-        }
+//        runBlocking {
+//            val events = point.events.toList()
+//            var startIndex = 0
+//            val blocks = blockSizes.zip(startTimes).map { (size, startTime) ->
+//                SimpleBlock.produce(startTime, Duration.ofSeconds(5)) {
+//                    events.subList(startIndex, startIndex + size)
+//                }.also { startIndex += size }
+//            }
+//
+//            blocks.forEachIndexed { index, block ->
+//                group.add(DataPlot.plot("block_$index", analyzer.getAmplitudeSpectrum(block).withBinning(20), NumassAnalyzer.AMPLITUDE_ADAPTER) {
+//                    "visible" to false
+//                })
+//            }
+//        }
         frame.add(group)
     }
 }

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

@@ -0,0 +1,76 @@
+/*
+ * 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.
+ */
+
+package inr.numass.scripts.threshold
+
+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.NumassDataUtils
+import inr.numass.data.api.NumassSet
+import inr.numass.data.storage.NumassDirectory
+import inr.numass.displayChart
+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_11"
+        dataDir = "D:\\Work\\Numass\\data\\2017_11"
+        output = FXOutputManager() + DirectoryOutput()
+    }
+
+    val storage = NumassDirectory.read(context, "Fill_2") as? FileStorage ?: error("Storage not found")
+
+    val meta = buildMeta {
+        "delta" to -150
+        "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
+    }
+
+    val frame = displayChart("correction").apply {
+        plots.setType<DataPlot>()
+    }
+
+    val sets = (36..42).map { "set_$it" }.map { setName ->
+        storage.provide(setName, NumassSet::class.java).nullable ?: error("Set does not exist")
+    }
+    val name = "fill_2[36-42]"
+
+    val sum = NumassDataUtils.join(name, sets)
+
+    val correctionTable = Threshold.calculateSubThreshold(sum, meta).filter {
+        it.getDouble("correction") in (1.0..1.2)
+    }
+
+    frame.plotData("${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"))
+}

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

@@ -74,11 +74,6 @@ object Threshold {
                 analyzer.getAmplitudeSpectrum(input, this.meta)
             }
         }
-//    val id = buildMeta {
-//        +meta.getMeta("data")
-//        +meta.getMeta("analyze")
-//    }
-//    return context.getFeature(CachePlugin::class.java).cacheNode("subThreshold", id, spectra)
     }