Minor fix to numass time analyzer
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@ -103,14 +103,17 @@ public class TimeAnalyzer extends AbstractAnalyzer {
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return v1;
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return v1;
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}
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}
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double t1 = v1.getDouble(LENGTH_KEY);
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double t2 = v2.getDouble(LENGTH_KEY);
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double cr1 = v1.getDouble(COUNT_RATE_KEY);
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double cr1 = v1.getDouble(COUNT_RATE_KEY);
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double cr2 = v2.getDouble(COUNT_RATE_KEY);
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double cr2 = v2.getDouble(COUNT_RATE_KEY);
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double w1 = Math.pow(v1.getDouble(COUNT_RATE_ERROR_KEY), -2);
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double err1 = v1.getDouble(COUNT_RATE_ERROR_KEY);
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double w2 = Math.pow(v2.getDouble(COUNT_RATE_ERROR_KEY), -2);
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double err2 = v2.getDouble(COUNT_RATE_ERROR_KEY);
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double countRate = (cr1 * w1 + cr2 * w2) / (1d * w1 + 1d * w2);
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double countRate = (t1 * cr1 + t2 * cr2) / (t1 + t2);
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double countRateErr = Math.sqrt(1d / (w1 + w2));
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double countRateErr = Math.sqrt(Math.pow(t1 * err1 / (t1 + t2), 2) + Math.pow(t2 * err1 / (t1 + t2), 2));
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return ValueMap.of(NAME_LIST,
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return ValueMap.of(NAME_LIST,
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@ -141,7 +144,7 @@ public class TimeAnalyzer extends AbstractAnalyzer {
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Stream<NumassEvent> eventStream = super.getEvents(block, config);//using super implementation
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Stream<NumassEvent> eventStream = super.getEvents(block, config);//using super implementation
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return eventStream.map(event -> {
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return eventStream.map(event -> {
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long res = lastEvent.get() == null ? -1L : event.getTimeOffset() - lastEvent.get().getTimeOffset();
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long res = lastEvent.get() == null ? 0L : event.getTimeOffset() - lastEvent.get().getTimeOffset();
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if (res < 0) {
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if (res < 0) {
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res = 0L;
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res = 0L;
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@ -0,0 +1,43 @@
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package inr.numass.scripts.times
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import hep.dataforge.context.Context
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import hep.dataforge.context.Global
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import hep.dataforge.grind.Grind
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import hep.dataforge.grind.GrindShell
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import hep.dataforge.kodex.fx.plots.PlotManager
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import inr.numass.NumassPlugin
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import inr.numass.actions.TimeAnalyzedAction
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import inr.numass.data.SimpleChainGenerator
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import inr.numass.data.api.SimpleNumassPoint
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import org.apache.commons.math3.random.JDKRandomGenerator
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import java.time.Instant
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/**
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* Created by darksnake on 27-Jun-17.
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*/
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Context ctx = Global.instance()
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ctx.pluginManager().load(PlotManager)
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ctx.pluginManager().load(NumassPlugin.class)
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new GrindShell(ctx).eval {
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double cr = 15e3;
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long length = 30e9;
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def num = 5;
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def blocks = (1..num).collect {
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def generator = new SimpleChainGenerator(1e4 + 1000*num, new JDKRandomGenerator(), { 1000 })
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generator.generateBlock(Instant.now().plusNanos(it * length), length)
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}
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def point = new SimpleNumassPoint(10000, blocks)
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def meta = Grind.buildMeta(plotHist: false)
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new TimeAnalyzedAction().simpleRun(point, meta);
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}
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@ -36,6 +36,7 @@ import static inr.numass.data.api.NumassAnalyzer.COUNT_RATE_KEY;
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*
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*
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* @author Darksnake
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* @author Darksnake
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*/
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*/
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@Deprecated
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public class NMEventGenerator {
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public class NMEventGenerator {
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protected final RandomGenerator rnd;
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protected final RandomGenerator rnd;
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@ -169,7 +170,7 @@ public class NMEventGenerator {
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}
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}
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private double nextExpDecay(double mean) {
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private double nextExpDecay(double mean) {
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return -mean * Math.log(1 - rnd.nextDouble());
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return - mean * Math.log(1 - rnd.nextDouble());
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}
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}
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}
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}
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@ -95,9 +95,19 @@ class TimeAnalyzedAction : OneToOneAction<NumassPoint, Table>() {
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histPlot.add(histogramPlot)
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histPlot.add(histogramPlot)
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}
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}
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if(inputMeta.getBoolean("plotStat",true)) {
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if (inputMeta.getBoolean("plotStat", true)) {
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val statPlotPoints = (1..150).map { 1000 * it }.map { t ->
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val statPlot = DataPlot(name).configure {
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"showLine" to true
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"thickness" to 4
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"title" to "${name}_${input.voltage}"
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}.apply {
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configure(inputMeta.getMetaOrEmpty("plot"))
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}
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pm.getPlotFrame(getName(), "stat-method").add(statPlot)
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(1..100).map { 1000 * it }.map { t ->
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val result = analyzer.analyze(input, buildMeta {
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val result = analyzer.analyze(input, buildMeta {
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"t0" to t
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"t0" to t
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"window.lo" to loChannel
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"window.lo" to loChannel
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@ -111,22 +121,16 @@ class TimeAnalyzedAction : OneToOneAction<NumassPoint, Table>() {
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1.0
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1.0
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}
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}
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XYAdapter.DEFAULT_ADAPTER.buildXYDataPoint(
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statPlot.append(
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t / 1000.0,
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XYAdapter.DEFAULT_ADAPTER.buildXYDataPoint(
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result.getDouble("cr") / norm,
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t / 1000.0,
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result.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY) / norm
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result.getDouble("cr") / norm,
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result.getDouble(NumassAnalyzer.COUNT_RATE_ERROR_KEY) / norm
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)
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)
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)
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}
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}
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val statPlot = DataPlot(name).configure {
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"showLine" to true
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"thickness" to 4
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"title" to "${name}_${input.voltage}"
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}.apply {
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configure(inputMeta.getMetaOrEmpty("plot"))
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}.fillData(statPlotPoints)
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pm.getPlotFrame(getName(), "stat-method").add(statPlot)
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}
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}
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return histogram;
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return histogram;
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@ -0,0 +1,45 @@
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package inr.numass.data
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import inr.numass.data.api.NumassBlock
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import inr.numass.data.api.NumassEvent
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import inr.numass.data.api.SimpleBlock
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import org.apache.commons.math3.random.JDKRandomGenerator
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import org.apache.commons.math3.random.RandomGenerator
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import java.time.Duration
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import java.time.Instant
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import java.util.*
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interface ChainGenerator {
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fun next(event: NumassEvent?): NumassEvent
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fun generateBlock(start: Instant, length: Long): NumassBlock {
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val events = ArrayList<NumassEvent>()
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var event = next(null)
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while (event.timeOffset < length) {
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events.add(event)
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event = next(event)
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}
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return SimpleBlock(start, Duration.ofNanos(length), events)
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}
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}
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class SimpleChainGenerator(val cr: Double, private var rnd: RandomGenerator = JDKRandomGenerator(), private val amp: () -> Short = { 1 }) : ChainGenerator {
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override fun next(event: NumassEvent?): NumassEvent {
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return if (event == null) {
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NumassEvent(amp(), Instant.EPOCH, 0)
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} else {
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NumassEvent(amp(), event.blockTime, event.timeOffset + generateDeltaTime())
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}
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}
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private fun nextExpDecay(mean: Double): Double {
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return -mean * Math.log(1 - rnd.nextDouble())
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}
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private fun generateDeltaTime(): Long {
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return (nextExpDecay(1.0 / cr) * 1e9).toLong()
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}
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}
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