NPM/numass-framework
4
0
Fork 1
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Minor fix to numass time analyzer

Browse Source
This commit is contained in:
Alexander Nozik 2017-10-17 20:53:22 +03:00
parent 1ec62e795d
commit 08fb62b141
5 changed files with 116 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
numass-core/src/main/java/inr/numass/data/analyzers/TimeAnalyzer.java
View File

@ -103,14 +103,17 @@ public class TimeAnalyzer extends AbstractAnalyzer {
return v1;
}
double t1 = v1.getDouble(LENGTH_KEY);
double t2 = v2.getDouble(LENGTH_KEY);
double cr1 = v1.getDouble(COUNT_RATE_KEY);
double cr2 = v2.getDouble(COUNT_RATE_KEY);
double w1 = Math.pow(v1.getDouble(COUNT_RATE_ERROR_KEY), -2);
double w2 = Math.pow(v2.getDouble(COUNT_RATE_ERROR_KEY), -2);
double err1 = v1.getDouble(COUNT_RATE_ERROR_KEY);
double err2 = v2.getDouble(COUNT_RATE_ERROR_KEY);
double countRate = (cr1 * w1 + cr2 * w2) / (1d * w1 + 1d * w2);
double countRate = (t1 * cr1 + t2 * cr2) / (t1 + t2);
double countRateErr = Math.sqrt(1d / (w1 + w2));
double countRateErr = Math.sqrt(Math.pow(t1 * err1 / (t1 + t2), 2) + Math.pow(t2 * err1 / (t1 + t2), 2));
return ValueMap.of(NAME_LIST,
@ -141,7 +144,7 @@ public class TimeAnalyzer extends AbstractAnalyzer {
Stream<NumassEvent> eventStream = super.getEvents(block, config);//using super implementation
return eventStream.map(event -> {
long res = lastEvent.get() == null ? -1L : event.getTimeOffset() - lastEvent.get().getTimeOffset();
long res = lastEvent.get() == null ? 0L : event.getTimeOffset() - lastEvent.get().getTimeOffset();
if (res < 0) {
res = 0L;

43
numass-main/src/main/groovy/inr/numass/scripts/times/TestAnalyzer.groovy Normal file
View File

@ -0,0 +1,43 @@
package inr.numass.scripts.times
import hep.dataforge.context.Context
import hep.dataforge.context.Global
import hep.dataforge.grind.Grind
import hep.dataforge.grind.GrindShell
import hep.dataforge.kodex.fx.plots.PlotManager
import inr.numass.NumassPlugin
import inr.numass.actions.TimeAnalyzedAction
import inr.numass.data.SimpleChainGenerator
import inr.numass.data.api.SimpleNumassPoint
import org.apache.commons.math3.random.JDKRandomGenerator
import java.time.Instant
/**
* Created by darksnake on 27-Jun-17.
*/
Context ctx = Global.instance()
ctx.pluginManager().load(PlotManager)
ctx.pluginManager().load(NumassPlugin.class)
new GrindShell(ctx).eval {
double cr = 15e3;
long length = 30e9;
def num = 5;
def blocks = (1..num).collect {
def generator = new SimpleChainGenerator(1e4 + 1000*num, new JDKRandomGenerator(), { 1000 })
generator.generateBlock(Instant.now().plusNanos(it * length), length)
}
def point = new SimpleNumassPoint(10000, blocks)
def meta = Grind.buildMeta(plotHist: false)
new TimeAnalyzedAction().simpleRun(point, meta);
}

3
numass-main/src/main/java/inr/numass/utils/NMEventGenerator.java
View File

@ -36,6 +36,7 @@ import static inr.numass.data.api.NumassAnalyzer.COUNT_RATE_KEY;
*
* @author Darksnake
*/
@Deprecated
public class NMEventGenerator {
protected final RandomGenerator rnd;
@ -169,7 +170,7 @@ public class NMEventGenerator {
}
private double nextExpDecay(double mean) {
return -mean * Math.log(1 - rnd.nextDouble());
return - mean * Math.log(1 - rnd.nextDouble());
}
}

32
numass-main/src/main/kotlin/inr/numass/actions/TimeAnalyzedAction.kt
View File

@ -95,9 +95,19 @@ class TimeAnalyzedAction : OneToOneAction<NumassPoint, Table>() {
histPlot.add(histogramPlot)
}
if(inputMeta.getBoolean("plotStat",true)) {
if (inputMeta.getBoolean("plotStat", true)) {
val statPlotPoints = (1..150).map { 1000 * it }.map { t ->
val statPlot = DataPlot(name).configure {
"showLine" to true
"thickness" to 4
"title" to "${name}_${input.voltage}"
}.apply {
configure(inputMeta.getMetaOrEmpty("plot"))
}
pm.getPlotFrame(getName(), "stat-method").add(statPlot)
(1..100).map { 1000 * it }.map { t ->
val result = analyzer.analyze(input, buildMeta {
"t0" to t
"window.lo" to loChannel
@ -111,22 +121,16 @@ class TimeAnalyzedAction : OneToOneAction<NumassPoint, Table>() {
1.0
}
XYAdapter.DEFAULT_ADAPTER.buildXYDataPoint(
t / 1000.0,
result.getDouble("cr") / norm,
result.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY) / norm
statPlot.append(
XYAdapter.DEFAULT_ADAPTER.buildXYDataPoint(
t / 1000.0,
result.getDouble("cr") / norm,
result.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY) / norm
)
)
}
val statPlot = DataPlot(name).configure {
"showLine" to true
"thickness" to 4
"title" to "${name}_${input.voltage}"
}.apply {
configure(inputMeta.getMetaOrEmpty("plot"))
}.fillData(statPlotPoints)
pm.getPlotFrame(getName(), "stat-method").add(statPlot)
}
return histogram;

45
numass-main/src/main/kotlin/inr/numass/data/ChainGenerator.kt Normal file
View File

@ -0,0 +1,45 @@
package inr.numass.data
import inr.numass.data.api.NumassBlock
import inr.numass.data.api.NumassEvent
import inr.numass.data.api.SimpleBlock
import org.apache.commons.math3.random.JDKRandomGenerator
import org.apache.commons.math3.random.RandomGenerator
import java.time.Duration
import java.time.Instant
import java.util.*
interface ChainGenerator {
fun next(event: NumassEvent?): NumassEvent
fun generateBlock(start: Instant, length: Long): NumassBlock {
val events = ArrayList<NumassEvent>()
var event = next(null)
while (event.timeOffset < length) {
events.add(event)
event = next(event)
}
return SimpleBlock(start, Duration.ofNanos(length), events)
}
}
class SimpleChainGenerator(val cr: Double, private var rnd: RandomGenerator = JDKRandomGenerator(), private val amp: () -> Short = { 1 }) : ChainGenerator {
override fun next(event: NumassEvent?): NumassEvent {
return if (event == null) {
NumassEvent(amp(), Instant.EPOCH, 0)
} else {
NumassEvent(amp(), event.blockTime, event.timeOffset + generateDeltaTime())
}
}
private fun nextExpDecay(mean: Double): Double {
return -mean * Math.log(1 - rnd.nextDouble())
}
private fun generateDeltaTime(): Long {
return (nextExpDecay(1.0 / cr) * 1e9).toLong()
}
}