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

File diff suppressed because it is too large Load Diff

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@ -30,6 +30,14 @@ public fun interface Kernel : Expression<Double> {
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 ->
invoke(default + args)
}

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@ -1,38 +1,115 @@
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.models.*
import ru.inr.mass.workspace.Numass
import ru.inr.mass.workspace.Numass.readRepository
import ru.inr.mass.workspace.buffer
import space.kscience.dataforge.data.DataTree
import space.kscience.dataforge.data.await
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.histogram
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() {
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
val points = repo.items().mapValues {
val points: Map<NameToken, NumassPoint?> = repo.items().mapValues {
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
}
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 {
points.forEach { name, point ->
if (point != null) {
histogram {
this.name = name.toString()
xbins {
size = 4.0
}
x.numbers = point.frames.tqdcAmplitudes()
}
}
scatter {
name = "gun"
x.numbers = spectrum.keys.map { it.toEnergy() }
y.numbers = spectrum.values.map { it.toDouble() / norm }
}
scatter {
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()
}