fact.features.muon

Class LightDistributionFit.LightDistributionNegLogLikelihood

java.lang.Object

fact.features.muon.LightDistributionFit.LightDistributionNegLogLikelihood

All Implemented Interfaces:

org.apache.commons.math3.analysis.MultivariateFunction

Enclosing class:

LightDistributionFit

public class LightDistributionFit.LightDistributionNegLogLikelihood
extends Object
implements org.apache.commons.math3.analysis.MultivariateFunction

Constructor Summary

Constructors

Constructor and Description
LightDistributionNegLogLikelihood(double[] photoncharge, int[] cleaning_pixel)

Method Summary

Modifier and Type	Method and Description
double	gauss_density(double x, double mean, double std)
double	photon_expectance_pixel(int chid, double r, double x, double y, double sigma, double rho, double phi, double eps)
double	radius2theta(double radius)
double	value(double[] point)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LightDistributionNegLogLikelihood

public LightDistributionNegLogLikelihood(double[] photoncharge,
                                         int[] cleaning_pixel)

Parameters:

photoncharge - double array containing the photoncharge for each pixel

cleaning_pixel - int array containing all pixel chids for the pixel that survived cleaning

Method Detail

value

public double value(double[] point)

Specified by:

value in interface org.apache.commons.math3.analysis.MultivariateFunction

Parameters:

point - a double array with length 4 containing r, x, y, sigma in this order

Returns:

the negative log likelihood at this point for the given data

gauss_density

public double gauss_density(double x,
                            double mean,
                            double std)

radius2theta

public double radius2theta(double radius)

photon_expectance_pixel

public double photon_expectance_pixel(int chid,
                                      double r,
                                      double x,
                                      double y,
                                      double sigma,
                                      double rho,
                                      double phi,
                                      double eps)