113 lines
4.3 KiB
Groovy
113 lines
4.3 KiB
Groovy
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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.scripts;
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import hep.dataforge.meta.MetaBuilder;
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import hep.dataforge.context.GlobalContext;
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import hep.dataforge.datafitter.ParamSet;
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import inr.numass.data.SpectrumInformation;
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import inr.numass.models.ModularTritiumSpectrum;
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import inr.numass.models.NBkgSpectrum;
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import inr.numass.models.ResolutionFunction;
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import java.util.HashMap;
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import java.util.Locale;
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import static java.util.Locale.setDefault;
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import java.util.Map;
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import org.apache.commons.math3.analysis.UnivariateFunction;
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setDefault(Locale.US);
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GlobalContext global = GlobalContext.instance();
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// global.loadModule(new MINUIT());
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// FitManager fm = new FitManager("data 2013");
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UnivariateFunction reolutionTail = {x ->
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if (x > 1500) {
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return 0.98;
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} else //Intercept = 1.00051, Slope = -1.3552E-5
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{
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return 1.00051 - 1.3552E-5 * x;
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}
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};
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ModularTritiumSpectrum beta = new ModularTritiumSpectrum(
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new ResolutionFunction(8.3e-5, reolutionTail), 14490d, 19001d, null);
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beta.setCaching(false);
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NBkgSpectrum spectrum = new NBkgSpectrum(beta);
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// XYModel model = new XYModel("tritium", spectrum);
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ParamSet allPars = new ParamSet();
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allPars.setParValue("N", 3090.1458);
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//значение 6е-6 соответствует полной интенстивности 6е7 распадов в секунду
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//Проблема была в переполнении счетчика событий в генераторе. Заменил на long. Возможно стоит поставить туда число с плавающей точкой
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allPars.setParError("N", 6);
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allPars.setParDomain("N", 0d, Double.POSITIVE_INFINITY);
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allPars.setParValue("bkg", 2.2110028);
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allPars.setParError("bkg", 0.03);
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allPars.setParValue("E0", 18580.742);
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allPars.setParError("E0", 2);
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allPars.setParValue("mnu2", 0d);
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allPars.setParError("mnu2", 1d);
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allPars.setParValue("msterile2", 1000 * 1000);
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allPars.setParValue("U2", 0);
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allPars.setParError("U2", 1e-4);
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allPars.setParDomain("U2", -1d, 1d);
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allPars.setParValue("X", 1.0);
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allPars.setParError("X", 0.01);
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allPars.setParDomain("X", 0d, Double.POSITIVE_INFINITY);
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allPars.setParValue("trap", 1.0d);
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allPars.setParError("trap", 0.01d);
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allPars.setParDomain("trap", 0d, Double.POSITIVE_INFINITY);
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SpectrumInformation sign = new SpectrumInformation(spectrum);
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// double Elow = 14000d;
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// double Eup = 18600d;
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// int numpoints = (int) ((Eup - Elow) / 50);
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// double time = 1e6 / numpoints;
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// DataSet config = getUniformSpectrumConfiguration(Elow, Eup, time, numpoints);
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// NamedMatrix infoMatrix = sign.getInformationMatrix(allPars, config,"U2","E0","N");
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//
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// PrintNamed.printNamedMatrix(Out.out, infoMatrix);
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// NamedMatrix cov = sign.getExpetedCovariance(allPars, config,"U2","E0","N");
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//
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// PrintWriter out = GlobalContext.out();
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//
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// printNamedMatrix(out, cov);
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//
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// cov = sign.getExpetedCovariance(allPars, config,"U2","E0","N","X");
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//
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// printNamedMatrix(out, cov);
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//PlotManager pm = new PlotManager();
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Map<String, UnivariateFunction> functions = new HashMap<>();
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functions.put("U2", sign.getSignificanceFunction(allPars, "U2", "U2"));
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// functions.put("UX", sign.getSignificanceFunction(allPars, "U2", "X"));
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functions.put("X", sign.getSignificanceFunction(allPars, "X", "X"));
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functions.put("trap", sign.getSignificanceFunction(allPars, "trap", "trap"));
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functions.put("E0", sign.getSignificanceFunction(allPars, "E0", "E0"));
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MetaBuilder builder = new MetaBuilder("significance");
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builder.putValue("from", 14000d);
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builder.putValue("to", 18500d);
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pm.plotFunction(builder.build(), functions);
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// printFuntionSimple(out(), func, 14000d, 18600d, 200);
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