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Alexander Nozik 2016-07-24 21:44:57 +03:00
parent 8c42e44c98
commit 06e7bb762d
28 changed files with 315 additions and 176 deletions
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4
numass-main/src/main/java/hep/dataforge/plotfit/PlotFitResultAction.java
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@ -17,8 +17,8 @@ package hep.dataforge.plotfit;
import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.datafitter.FitState;
import hep.dataforge.datafitter.models.XYModel;
import hep.dataforge.fitting.FitState;
import hep.dataforge.fitting.models.XYModel;
import hep.dataforge.description.NodeDef;
import hep.dataforge.description.TypedActionDef;
import hep.dataforge.description.ValueDef;

2
numass-main/src/main/java/inr/numass/Main.java
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@ -19,7 +19,7 @@ import hep.dataforge.actions.ActionUtils;
import hep.dataforge.context.Context;
import static hep.dataforge.context.GlobalContext.out;
import hep.dataforge.data.FileDataFactory;
import hep.dataforge.datafitter.MINUITPlugin;
import hep.dataforge.fitting.MINUITPlugin;
import hep.dataforge.io.IOManager;
import hep.dataforge.io.MetaFileReader;
import hep.dataforge.meta.Meta;

10
numass-main/src/main/java/inr/numass/NumassPlugin.java
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@ -19,11 +19,11 @@ import hep.dataforge.actions.ActionManager;
import hep.dataforge.context.BasicPlugin;
import hep.dataforge.context.Context;
import hep.dataforge.context.PluginDef;
import hep.dataforge.datafitter.FitManager;
import hep.dataforge.datafitter.FitPlugin;
import hep.dataforge.datafitter.models.ModelManager;
import hep.dataforge.datafitter.models.WeightedXYModel;
import hep.dataforge.datafitter.models.XYModel;
import hep.dataforge.fitting.FitManager;
import hep.dataforge.fitting.FitPlugin;
import hep.dataforge.fitting.models.ModelManager;
import hep.dataforge.fitting.models.WeightedXYModel;
import hep.dataforge.fitting.models.XYModel;
import hep.dataforge.meta.Meta;
import hep.dataforge.plotfit.PlotFitResultAction;
import hep.dataforge.plots.PlotDataAction;

12
numass-main/src/main/java/inr/numass/actions/ShowLossSpectrumAction.java
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@ -16,11 +16,11 @@
package inr.numass.actions;
import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.datafitter.FitState;
import hep.dataforge.datafitter.FitTaskResult;
import hep.dataforge.datafitter.Param;
import hep.dataforge.datafitter.ParamSet;
import hep.dataforge.datafitter.models.Histogram;
import hep.dataforge.fitting.FitState;
import hep.dataforge.fitting.FitTaskResult;
import hep.dataforge.fitting.Param;
import hep.dataforge.fitting.ParamSet;
import hep.dataforge.fitting.models.Histogram;
import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.PrintFunction;
@ -34,7 +34,7 @@ import hep.dataforge.plots.PlotsPlugin;
import hep.dataforge.plots.XYPlotFrame;
import hep.dataforge.plots.data.PlottableData;
import hep.dataforge.plots.data.PlottableXYFunction;
import hep.dataforge.simulation.GaussianParameterGenerator;
import hep.dataforge.generators.GaussianParameterGenerator;
import hep.dataforge.tables.ListTable;
import hep.dataforge.tables.MapPoint;
import hep.dataforge.tables.Table;

2
numass-main/src/main/java/inr/numass/actions/SummaryAction.java
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@ -19,7 +19,7 @@ import hep.dataforge.actions.GroupBuilder;
import hep.dataforge.actions.ManyToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.data.DataNode;
import hep.dataforge.datafitter.FitState;
import hep.dataforge.fitting.FitState;
import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;

6
numass-main/src/main/java/inr/numass/data/SpectrumGenerator.java
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@ -15,9 +15,9 @@
*/
package inr.numass.data;
import hep.dataforge.datafitter.ParamSet;
import hep.dataforge.datafitter.models.Generator;
import hep.dataforge.datafitter.models.XYModel;
import hep.dataforge.fitting.ParamSet;
import hep.dataforge.fitting.models.Generator;
import hep.dataforge.fitting.models.XYModel;
import static hep.dataforge.maths.RandomUtils.getDefaultRandomGenerator;
import hep.dataforge.tables.DataPoint;
import hep.dataforge.tables.ListTable;

2
numass-main/src/main/java/inr/numass/data/SpectrumInformation.java
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@ -15,7 +15,7 @@
*/
package inr.numass.data;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import static hep.dataforge.maths.MatrixOperations.inverse;
import hep.dataforge.maths.NamedMatrix;
import hep.dataforge.tables.DataPoint;

8
numass-main/src/main/java/inr/numass/models/BetaSpectrum.java
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@ -16,13 +16,13 @@
package inr.numass.models;
import hep.dataforge.exceptions.NotDefinedException;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.values.NamedValueSet;
import hep.dataforge.values.ValueProvider;
import java.io.File;
import static java.lang.Math.abs;
import static java.lang.Math.exp;
import static java.lang.Math.sqrt;
import static java.lang.Math.abs;
/**
*
@ -225,7 +225,7 @@ public class BetaSpectrum extends AbstractParametricFunction implements RangedNa
}
@Override
protected double getDefaultValue(String name) {
protected double getDefaultParameter(String name) {
switch (name) {
case "mnu2":
return 0;
@ -234,7 +234,7 @@ public class BetaSpectrum extends AbstractParametricFunction implements RangedNa
case "msterile2":
return 0;
default:
return super.getDefaultValue(name);
return super.getDefaultParameter(name);
}
}
}

2
numass-main/src/main/java/inr/numass/models/CustomNBkgSpectrum.java
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@ -5,7 +5,7 @@
*/
package inr.numass.models;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.values.NamedValueSet;
import inr.numass.NumassContext;
import inr.numass.utils.TritiumUtils;

2
numass-main/src/main/java/inr/numass/models/EmpiricalLossSpectrum.java
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@ -17,7 +17,7 @@ package inr.numass.models;
import hep.dataforge.exceptions.NamingException;
import hep.dataforge.exceptions.NotDefinedException;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.maths.integration.GaussRuleIntegrator;
import hep.dataforge.maths.integration.UnivariateIntegrator;
import hep.dataforge.values.NamedValueSet;

4
numass-main/src/main/java/inr/numass/models/ExperimentalVariableLossSpectrum.java
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@ -16,8 +16,8 @@
package inr.numass.models;
import hep.dataforge.exceptions.NotDefinedException;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.values.NamedValueSet;
import hep.dataforge.values.ValueProvider;
import org.apache.commons.math3.analysis.BivariateFunction;

41
numass-main/src/main/java/inr/numass/models/FSS.java
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@ -21,29 +21,28 @@ import hep.dataforge.tables.PointSource;
import java.io.File;
import java.io.FileNotFoundException;
import java.util.ArrayList;
import org.apache.commons.math3.util.Pair;
/**
*
* @author Darksnake
*/
public class FSS{
private final ArrayList<Pair<Double,Double>> points;
private final ArrayList<Double> ps = new ArrayList<>();
private final ArrayList<Double> es = new ArrayList<>();
private double norm;
public FSS(File FSSFile) {
try {
PointSource data = IOUtils.readColumnedData(FSSFile,"E","P");
this.points = new ArrayList<>();
norm = 0;
for (DataPoint dp : data) {
Double E = dp.getValue("E").doubleValue();
Double P = dp.getValue("P").doubleValue();
this.points.add(new Pair<>(E,P));
norm += P;
es.add(dp.getDouble("E"));
double p = dp.getDouble("P");
ps.add(p);
norm += p;
}
if(points.isEmpty()) {
if(ps.isEmpty()) {
throw new Error("Error reading FSS FILE. No points.");
}
} catch (FileNotFoundException ex) {
@ -51,23 +50,27 @@ public class FSS{
}
}
double getE(int n){
return this.points.get(n).getFirst();
public double getE(int n){
return this.es.get(n);
}
double getP(int n){
return this.points.get(n).getSecond() / norm;
public double getP(int n){
return this.ps.get(n) / norm;
}
boolean isEmpty(){
return points.isEmpty();
public boolean isEmpty(){
return ps.isEmpty();
}
int size(){
return points.size();
public int size(){
return ps.size();
}
public double[] getPs(){
return ps.stream().mapToDouble(p->p).toArray();
}
public double[] getEs(){
return es.stream().mapToDouble(p->p).toArray();
}
}

52
numass-main/src/main/java/inr/numass/models/GaussResolution.java
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@ -17,8 +17,8 @@ package inr.numass.models;
import hep.dataforge.context.GlobalContext;
import hep.dataforge.exceptions.NameNotFoundException;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import static hep.dataforge.names.NamedUtils.combineNamesWithEquals;
import hep.dataforge.values.NamedValueSet;
import hep.dataforge.values.ValueProvider;
@ -43,6 +43,54 @@ import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
import static java.lang.Double.isNaN;
import static java.lang.Math.abs;
/**
*

2
numass-main/src/main/java/inr/numass/models/GaussSourceSpectrum.java
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@ -16,7 +16,7 @@
package inr.numass.models;
import hep.dataforge.exceptions.NotDefinedException;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.values.NamedValueSet;
import hep.dataforge.values.ValueProvider;
import static java.lang.Math.exp;

5
numass-main/src/main/java/inr/numass/models/GunSpectrum.java
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@ -16,7 +16,7 @@
package inr.numass.models;
import hep.dataforge.exceptions.NotDefinedException;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.maths.integration.UnivariateIntegrator;
import hep.dataforge.values.NamedValueSet;
import inr.numass.NumassContext;
@ -24,6 +24,9 @@ import static java.lang.Math.abs;
import static java.lang.Math.exp;
import static java.lang.Math.sqrt;
import org.apache.commons.math3.analysis.UnivariateFunction;
import static java.lang.Math.abs;
import static java.lang.Math.abs;
import static java.lang.Math.abs;
/**
*

2
numass-main/src/main/java/inr/numass/models/LossCalculator.java
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@ -15,7 +15,7 @@
*/
package inr.numass.models;
import hep.dataforge.functions.FunctionCaching;
import hep.dataforge.fitting.parametric.FunctionCaching;
import hep.dataforge.maths.integration.GaussRuleIntegrator;
import hep.dataforge.maths.integration.UnivariateIntegrator;
import hep.dataforge.plots.XYPlotFrame;

4
numass-main/src/main/java/inr/numass/models/ModularSpectrum.java
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@ -15,8 +15,8 @@
*/
package inr.numass.models;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.names.NamedUtils;
import hep.dataforge.values.NamedValueSet;
import hep.dataforge.values.ValueProvider;

8
numass-main/src/main/java/inr/numass/models/NBkgSpectrum.java
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@ -15,8 +15,8 @@
*/
package inr.numass.models;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import static hep.dataforge.names.NamedUtils.combineNamesWithEquals;
import hep.dataforge.utils.MultiCounter;
import hep.dataforge.values.NamedValueSet;
@ -78,14 +78,14 @@ public class NBkgSpectrum extends AbstractParametricFunction {
}
@Override
protected double getDefaultValue(String name) {
protected double getDefaultParameter(String name) {
switch (name) {
case "bkg":
return 0;
case "N":
return 1;
default:
return super.getDefaultValue(name);
return super.getDefaultParameter(name);
}
}

8
numass-main/src/main/java/inr/numass/models/NamedSpectrumCaching.java
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@ -15,10 +15,10 @@
*/
package inr.numass.models;
import hep.dataforge.functions.AbstractParametricFunction;
import static hep.dataforge.functions.FunctionUtils.getSpectrumDerivativeFunction;
import static hep.dataforge.functions.FunctionUtils.getSpectrumFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import static hep.dataforge.fitting.parametric.FunctionUtils.getSpectrumDerivativeFunction;
import static hep.dataforge.fitting.parametric.FunctionUtils.getSpectrumFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.maths.MathUtils;
import hep.dataforge.maths.NamedVector;
import hep.dataforge.names.AbstractNamedSet;

2
numass-main/src/main/java/inr/numass/models/RangedNamedSetSpectrum.java
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@ -15,7 +15,7 @@
*/
package inr.numass.models;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
/**
*

92
numass-main/src/main/java/inr/numass/models/SterileNeutrinoSpectrum.java
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@ -1,92 +0,0 @@
/*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
package inr.numass.models;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.values.NamedValueSet;
import inr.numass.NumassContext;
import org.apache.commons.math3.analysis.BivariateFunction;
import org.apache.commons.math3.analysis.UnivariateFunction;
/**
* Compact all-in-one model for sterile neutrino spectrum
* @author Alexander Nozik
*/
public class SterileNeutrinoSpectrum extends AbstractParametricFunction {
private static final String[] list = {"X", "trap", "E0", "mnu2", "msterile2", "U2"};
BetaSpectrum source;
public SterileNeutrinoSpectrum() {
super(list);
}
// /**
// * Transmission function including detector backscattering
// *
// * @param u
// * @param set
// * @return
// */
// private BivariateFunction transmission(double u, NamedValueSet set) {
//
// }
//
// /**
// * Loss function excluding trapping
// *
// * @param u
// * @param set
// * @return
// */
// private BivariateFunction loss(double u, NamedValueSet set) {
//
// }
//
// /**
// * Trapping spectrum
// *
// * @param u
// * @param set
// * @return
// */
// private BivariateFunction trapping(double u, NamedValueSet set) {
//
// }
/**
* Source spectrum including final states
*
* @return
*/
private ParametricFunction source() {
return source;
}
private BivariateFunction convolute(BivariateFunction loss, BivariateFunction resolution) {
return (eIn, u) -> {
UnivariateFunction integrand = (double eOut) -> loss.value(eIn, eOut) * resolution.value(eOut, u);
return NumassContext.defaultIntegrator.integrate(integrand, u, eIn);
};
}
@Override
public double derivValue(String parName, double u, NamedValueSet set) {
throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
}
@Override
public double value(double u, NamedValueSet set) {
return 0;
}
@Override
public boolean providesDeriv(String name) {
throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
}
}

2
numass-main/src/main/java/inr/numass/models/Transmission.java
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@ -16,7 +16,7 @@
package inr.numass.models;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.names.NameSetContainer;
import hep.dataforge.values.NamedValueSet;
import hep.dataforge.values.ValueProvider;

4
numass-main/src/main/java/inr/numass/models/TransmissionConvolution.java
View File

@ -15,8 +15,8 @@
*/
package inr.numass.models;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.values.NamedValueSet;
import inr.numass.NumassContext;
import org.apache.commons.math3.analysis.BivariateFunction;

2
numass-main/src/main/java/inr/numass/models/TritiumSpectrumCaching.java
View File

@ -15,7 +15,7 @@
*/
package inr.numass.models;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.maths.NamedVector;
import hep.dataforge.values.NamedValueSet;
import static java.lang.Math.abs;

8
numass-main/src/main/java/inr/numass/models/VariableLossSpectrum.java
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@ -16,8 +16,8 @@
package inr.numass.models;
import hep.dataforge.exceptions.NotDefinedException;
import hep.dataforge.functions.AbstractParametricFunction;
import hep.dataforge.functions.ParametricFunction;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.ParametricFunction;
import hep.dataforge.maths.integration.UnivariateIntegrator;
import hep.dataforge.values.NamedValueSet;
import hep.dataforge.values.ValueProvider;
@ -134,14 +134,14 @@ public class VariableLossSpectrum extends AbstractParametricFunction {
}
@Override
protected double getDefaultValue(String name) {
protected double getDefaultParameter(String name) {
switch (name) {
case "shift":
return 0;
case "X":
return 0;
default:
return super.getDefaultValue(name);
return super.getDefaultParameter(name);
}
}

113
numass-main/src/main/java/inr/numass/models/sterile/SterileNeutrinoSpectrum.java Normal file
View File

@ -0,0 +1,113 @@
/*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
package inr.numass.models.sterile;
import hep.dataforge.context.Context;
import hep.dataforge.exceptions.NotDefinedException;
import hep.dataforge.fitting.parametric.AbstractParametricFunction;
import hep.dataforge.fitting.parametric.ParametricBiFunction;
import hep.dataforge.meta.Meta;
import hep.dataforge.values.NamedValueSet;
import inr.numass.models.FSS;
import java.util.stream.DoubleStream;
import org.apache.commons.math3.distribution.EnumeratedRealDistribution;
import org.apache.commons.math3.distribution.RealDistribution;
import org.apache.commons.math3.random.JDKRandomGenerator;
import org.apache.commons.math3.random.RandomGenerator;
import org.apache.commons.math3.random.SynchronizedRandomGenerator;
/**
* Compact all-in-one model for sterile neutrino spectrum
*
* @author Alexander Nozik
*/
public class SterileNeutrinoSpectrum extends AbstractParametricFunction {
private static final String[] list = {"X", "trap", "E0", "mnu2", "msterile2", "U2"};
private double eMax;
private final RandomGenerator rnd;
private final RealDistribution fssDistribution;
/**
* variables:Eo offset,Ein; parameters: "mnu2", "msterile2", "U2"
*/
private ParametricBiFunction source;
/**
* variables:Ein,Eout; parameters: "A"
*/
private ParametricBiFunction transmission;
/**
* variables:Eout,U; parameters: "X", "trap"
*/
private ParametricBiFunction resolution;
public SterileNeutrinoSpectrum(Context context, Meta configuration) {
super(list);
this.eMax = 18600;
FSS fss = new FSS(context.io().getFile(configuration.getString("fssFile", "FS.txt")));
rnd = new SynchronizedRandomGenerator(new JDKRandomGenerator());
fssDistribution = new EnumeratedRealDistribution(rnd, fss.getEs(), fss.getPs());
}
@Override
public double derivValue(String parName, double u, NamedValueSet set) {
switch (parName) {
case "U2":
case "msterile2":
case "mnu2":
case "E0":
return integrate(u, source.derivative(parName), transmission, resolution, set);
case "X":
case "trap":
return integrate(u, source, transmission, resolution.derivative(parName), set);
default:
throw new NotDefinedException();
}
}
@Override
public double value(double u, NamedValueSet set) {
return integrate(u, source, transmission, resolution, set);
}
private int numCalls(double u) {
return 100000;
}
@Override
public boolean providesDeriv(String name) {
return source.providesDeriv(name) && transmission.providesDeriv(name) && resolution.providesDeriv(name);
}
private double rndE(double a, double b) {
return rnd.nextDouble() * (b - a) + a;
}
private double integrate(
double u,
ParametricBiFunction sourceFunction,
ParametricBiFunction transmissionFunction,
ParametricBiFunction resolutionFunction,
NamedValueSet set) {
int num = numCalls(u);
double sum = DoubleStream.generate(() -> {
// generate final state
double fs = fssDistribution.sample();
double eIn = rndE(u, eMax);
double eOut = rndE(u, eIn);
return sourceFunction.value(fs, eIn, set)
* transmissionFunction.value(eIn, eOut, set)
* resolutionFunction.value(eOut, u, set);
}).limit(num).parallel().sum();
return Math.pow(eMax - u, 2d) / 2d * sum / num;
}
}

2
numass-main/src/test/java/inr/numass/models/PlotScatter.java
View File

@ -15,7 +15,7 @@
*/
package inr.numass.models;
import hep.dataforge.datafitter.ParamSet;
import hep.dataforge.fitting.ParamSet;
import hep.dataforge.plots.fx.FXPlotUtils;
/**

68
numass-main/src/test/java/inr/numass/run/NumassSpectrumTest.java
View File

@ -16,8 +16,8 @@
package inr.numass.run;
import hep.dataforge.context.GlobalContext;
import hep.dataforge.datafitter.MINUITPlugin;
import hep.dataforge.datafitter.ParamSet;
import hep.dataforge.fitting.MINUITPlugin;
import hep.dataforge.fitting.ParamSet;
import hep.dataforge.exceptions.NamingException;
import inr.numass.models.BetaSpectrum;
import inr.numass.models.ModularSpectrum;
@ -88,6 +88,70 @@ import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
import static java.util.Locale.setDefault;
/**
*