Plot name fix
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@ -0,0 +1,72 @@
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package inr.numass.scripts.timeanalysis
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import hep.dataforge.buildContext
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import hep.dataforge.data.DataSet
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import hep.dataforge.fx.output.FXOutputManager
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import hep.dataforge.meta.buildMeta
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import hep.dataforge.plots.jfreechart.JFreeChartPlugin
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import inr.numass.NumassPlugin
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import inr.numass.actions.TimeAnalyzerAction
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import inr.numass.data.api.NumassPoint
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import inr.numass.data.api.NumassSet
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import inr.numass.data.api.SimpleNumassPoint
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import inr.numass.data.storage.NumassDirectory
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fun main(args: Array<String>) {
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val context = buildContext("NUMASS", NumassPlugin::class.java, JFreeChartPlugin::class.java) {
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output = FXOutputManager()
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rootDir = "D:\\Work\\Numass\\sterile2018_04"
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dataDir = "D:\\Work\\Numass\\data\\2018_04"
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}
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val storage = NumassDirectory.read(context, "Fill_3")!!
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val meta = buildMeta {
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"binNum" to 200
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//"chunkSize" to 10000
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// "mean" to TimeAnalyzer.AveragingMethod.ARITHMETIC
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//"separateParallelBlocks" to true
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"t0" to {
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"step" to 320
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}
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"analyzer" to {
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"t0" to 16000
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"window" to {
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"lo" to 450
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"up" to 1900
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}
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}
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//"plot.showErrors" to false
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}
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val loader = storage.provide("set_9",NumassSet::class.java).get()
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val hvs = listOf(14000.0)//, 15000d, 15200d, 15400d, 15600d, 15800d]
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//listOf(18500.0, 18600.0, 18995.0, 19000.0)
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val data = DataSet.edit(NumassPoint::class).apply {
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hvs.forEach { hv ->
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val points = loader.points.filter {
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it.voltage == hv
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}.map { it.channels[0]!! }.toList()
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if (!points.isEmpty()) {
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putStatic(
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"point_${hv.toInt()}",
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SimpleNumassPoint(points, hv)
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)
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}
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}
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}.build()
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val result = TimeAnalyzerAction.run(context, data, meta);
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result.nodeGoal().run()
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readLine()
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println("Canceling task")
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result.nodeGoal().cancel()
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}
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@ -348,7 +348,7 @@ val histogramTask = task("histogram") {
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values[NumassAnalyzer.CHANNEL_KEY] = channel
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counters.forEach { u, counter ->
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if (normalize) {
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values["U$u"] = counter.get().toDouble() / times[u]!!
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values["U$u"] = counter.get().toDouble() / times.getValue(u)
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} else {
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values["U$u"] = counter.get()
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}
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@ -358,7 +358,7 @@ val histogramTask = task("histogram") {
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}
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row(values)
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}
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}.sumByStep(NumassAnalyzer.CHANNEL_KEY, meta.getDouble("binning", 20.0)) //apply binning
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}.sumByStep(NumassAnalyzer.CHANNEL_KEY, meta.getDouble("binning", 16.0)) //apply binning
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// send raw table to the output
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context.output.render(table, stage = "numass.histogram", name = name, meta = meta)
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@ -58,7 +58,7 @@ class AmplitudeView : View(title = "Numass amplitude spectrum plot", icon = Imag
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private val container = PlotContainer(frame).apply {
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val binningSelector: ChoiceBox<Int> = ChoiceBox(FXCollections.observableArrayList(1, 2, 5, 10, 20, 50)).apply {
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val binningSelector: ChoiceBox<Int> = ChoiceBox(FXCollections.observableArrayList(1, 2, 8, 16, 32, 50)).apply {
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minWidth = 0.0
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selectionModel.selectLast()
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binningProperty.bind(this.selectionModel.selectedItemProperty())
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