90 lines
2.6 KiB
Java
90 lines
2.6 KiB
Java
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/*
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* Copyright 2015 Alexander Nozik.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package inr.numass.models;
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import hep.dataforge.exceptions.NotDefinedException;
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import hep.dataforge.maths.NamedDoubleSet;
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import hep.dataforge.names.Names;
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import static java.lang.Math.abs;
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import static java.lang.Math.exp;
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import static java.lang.Math.sqrt;
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import org.apache.commons.math3.analysis.UnivariateFunction;
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public class GunTailSpectrum implements RangedNamedSetSpectrum {
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private final double cutoff = 4d;
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private final String[] list = {"pos", "tailShift", "tailAmp", "sigma"};
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@Override
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public double derivValue(String parName, double x, NamedDoubleSet set) {
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throw new NotDefinedException();
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}
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@Override
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public Double max(NamedDoubleSet set) {
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return set.getValue("pos") + cutoff * set.getValue("sigma");
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}
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@Override
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public Double min(NamedDoubleSet set) {
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return 0d;
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}
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@Override
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public Names names() {
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return Names.of(list);
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}
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@Override
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public boolean providesDeriv(String name) {
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return false;
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}
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@Override
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public double value(double E, NamedDoubleSet set) {
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double pos = set.getValue("pos");
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double amp = set.getValue("tailAmp");
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double sigma = set.getValue("sigma");
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if (E >= pos + cutoff * sigma) {
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return 0d;
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}
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return gauss(E, pos, sigma) * (1 - amp) + amp * tail(E, pos, set);
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}
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double gauss(double E, double pos, double sigma) {
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if (abs(E - pos) > cutoff * sigma) {
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return 0;
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}
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double aux = (E - pos) / sigma;
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return exp(-aux * aux / 2) / sigma / sqrt(2 * Math.PI);
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}
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double tail(double E, double pos, NamedDoubleSet set) {
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double tailShift = set.getValue("tailShift");
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double delta = Math.max(pos - E - tailShift, 1d);
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UnivariateFunction func = (double d) -> 1d / d / d;
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// double tailNorm = NumassContext.defaultIntegrator.integrate(func, 0d, 300d);
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return func.value(delta);
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}
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}
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