Tritium-gun-comparison

This commit is contained in:
Alexander Nozik 2022-03-04 16:31:18 +03:00
parent 6853964d24
commit e8d8e1ea8a
3 changed files with 2123 additions and 16 deletions

2022
kotlin-js-store/yarn.lock Normal file

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@ -30,6 +30,14 @@ public fun interface Kernel : Expression<Double> {
public interface DifferentiableKernel : SpecialDifferentiableExpression<Double, Kernel>, Kernel public interface DifferentiableKernel : SpecialDifferentiableExpression<Double, Kernel>, Kernel
public fun Kernel.withFixedX(x: Double): Spectrum = Spectrum { y, arguments ->
invoke(x, y, arguments)
}
public fun Kernel.withFixedY(y: Double): Spectrum = Spectrum { x, arguments ->
invoke(x, y, arguments)
}
public fun <T> Expression<T>.withDefault(default: Map<Symbol, T>): Expression<T> = Expression { args -> public fun <T> Expression<T>.withDefault(default: Map<Symbol, T>): Expression<T> = Expression { args ->
invoke(default + args) invoke(default + args)
} }

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@ -1,38 +1,115 @@
package ru.inr.mass.scripts package ru.inr.mass.scripts
import ru.inr.mass.data.api.channels import ru.inr.mass.data.analysis.NumassEventExtractor
import ru.inr.mass.data.analysis.amplitudeSpectrum
import ru.inr.mass.data.api.NumassPoint
import ru.inr.mass.data.proto.NumassDirectorySet import ru.inr.mass.data.proto.NumassDirectorySet
import ru.inr.mass.models.*
import ru.inr.mass.workspace.Numass
import ru.inr.mass.workspace.Numass.readRepository import ru.inr.mass.workspace.Numass.readRepository
import ru.inr.mass.workspace.buffer
import space.kscience.dataforge.data.DataTree import space.kscience.dataforge.data.DataTree
import space.kscience.dataforge.data.await import space.kscience.dataforge.data.await
import space.kscience.dataforge.data.data import space.kscience.dataforge.data.data
import space.kscience.dataforge.names.NameToken
import space.kscience.kmath.expressions.Symbol
import space.kscience.kmath.functions.PiecewisePolynomial
import space.kscience.kmath.functions.asFunction
import space.kscience.kmath.integration.integrate
import space.kscience.kmath.integration.splineIntegrator
import space.kscience.kmath.integration.value
import space.kscience.kmath.interpolation.LinearInterpolator
import space.kscience.kmath.interpolation.interpolatePolynomials
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.real.step
import space.kscience.kmath.structures.asBuffer
import space.kscience.plotly.Plotly import space.kscience.plotly.Plotly
import space.kscience.plotly.histogram
import space.kscience.plotly.makeFile import space.kscience.plotly.makeFile
import space.kscience.plotly.scatter
import kotlin.math.pow
fun Spectrum.cutFrom(lowerCut: Double): Spectrum = Spectrum { x, arguments ->
if (x < lowerCut) 0.0 else this@cutFrom.invoke(x, arguments)
}
fun Spectrum.convolve(range: ClosedRange<Double>, function: (Double) -> Double): Spectrum = Spectrum { x, arguments ->
DoubleField.splineIntegrator.integrate(range) { y ->
this@convolve.invoke(y, arguments) * function(x - y)
}.value
}
private val neutrinoSpectrum = NumassBeta.withFixedX(0.0)
private val args: Map<Symbol, Double> = mapOf(
NBkgSpectrum.norm to 8e5,
NBkgSpectrum.bkg to 2.0,
NumassBeta.mnu2 to 0.0,
NumassBeta.e0 to 18575.0,
NumassBeta.msterile2 to 1000.0.pow(2),
NumassBeta.u2 to 0.0,
NumassTransmission.thickness to 1.0,
NumassTransmission.trap to 1.0
)
suspend fun main() { suspend fun main() {
val repo: DataTree<NumassDirectorySet> = readRepository("D:\\Work\\Numass\\data\\2021_11\\Adiabacity_17\\") val repo: DataTree<NumassDirectorySet> = readRepository("D:\\Work\\Numass\\data\\2021_11\\Adiabacity_17\\")
val gunEnergy = 17000.0
val hv = 16900.0
//select point number 2 (U = 16900 V) from each directory //select point number 2 (U = 16900 V) from each directory
val points = repo.items().mapValues { val points: Map<NameToken, NumassPoint?> = repo.items().mapValues {
val directory = it.value.data?.await() val directory = it.value.data?.await()
val point = directory?.points?.find { it.voltage == 16900.0 } val point = directory?.points?.find { point -> point.voltage == hv }
point point
} }
val spectrum: Map<Short, ULong> = points.values.first()!!
.amplitudeSpectrum(NumassEventExtractor.TQDC)
.amplitudes.toSortedMap()
//the channel of spectrum peak position
val argmax = spectrum.maxByOrNull { it.value }!!.key
// convert channel to energy
fun Short.toEnergy(): Double = toDouble() / argmax * gunEnergy
val norm = spectrum.values.sum().toDouble()
val interpolated: PiecewisePolynomial<Double> = LinearInterpolator(DoubleField).interpolatePolynomials(
spectrum.keys.map { it.toEnergy() - gunEnergy }.asBuffer(),
spectrum.values.map { it.toDouble() / norm }.asBuffer()
)
//convolve neutrino model with the gun spectrum
val model: Spectrum = neutrinoSpectrum
.cutFrom(14000.0)
.convolve(0.0..18500.0, interpolated.asFunction(DoubleField, 0.0))
val tritiumData = Numass.readPoint("D:\\Work\\Numass\\data\\2021_11\\Tritium_2\\set_11\\p0(30s)(HV1=14000)")
Plotly.plot { Plotly.plot {
points.forEach { name, point -> scatter {
if (point != null) { name = "gun"
histogram { x.numbers = spectrum.keys.map { it.toEnergy() }
this.name = name.toString() y.numbers = spectrum.values.map { it.toDouble() / norm }
xbins { }
size = 4.0
} scatter {
x.numbers = point.frames.tqdcAmplitudes() name = "convoluted"
} x.buffer = 0.0..19000.0 step 100.0
} y.numbers = x.doubles.map { model(it, args) }
y.numbers = y.doubles.map { it / y.doubles.maxOrNull()!! }
}
scatter {
name = "tritium"
val tritiumSpectrum = tritiumData.amplitudeSpectrum(NumassEventExtractor.TQDC).amplitudes.toSortedMap()
x.numbers = tritiumSpectrum.keys.map { it.toEnergy() }
y.numbers = tritiumSpectrum.values.map { it.toDouble()}
y.numbers = y.doubles.map { it / y.doubles.maxOrNull()!! }
} }
}.makeFile() }.makeFile()
} }