jhpro.stat.limit
Class ExpData

java.lang.Object
  jhpro.stat.limit.ExpData

public class ExpData
extends Object

Build experiment. Here you can specify observed number of events, background level, error on background and efficiency.

Constructor Summary

ExpData()
Simple constructor

ExpData(int nobs, double back, double errback)
Build an experiment

ExpData(int nobs, double back, double errback, double fraction, double errfraction)
Build an experimental data

Method Summary

double	getBack() Get the expected background
double	getErrBack() Get error on background
double	getErrFraction() Get error on efficiency.
double	getFraction() Get efficiency.
int	getNobs() Get the number of observations
void	setBack(double back) Set background number
void	setErrBack(double errback) Set error on background
void	setNobs(int nobs) Set number of observations

Methods inherited from class java.lang.Object

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

Constructor Detail

ExpData

public ExpData()

Simple constructor

ExpData

public ExpData(int nobs,
               double back,
               double errback)

Build an experiment

Parameters:

nobs - Number of observed events

back - Expected background

errback - Expected uncertainty on background

ExpData

public ExpData(int nobs,
               double back,
               double errback,
               double fraction,
               double errfraction)

Build an experimental data

Parameters:

nobs - Number of observed events

back - Expected background

errback - Expected uncertainty on background

fraction - efficiency for a channel. Set to 1 for ideal case.

errfraction - error on efficiency. Set to 0

Method Detail

setBack

public void setBack(double back)

Set background number

Parameters:

back -

setErrBack

public void setErrBack(double errback)

Set error on background

Parameters:

errback -

setNobs

public void setNobs(int nobs)

Set number of observations

Parameters:

nobs - number of observations

getBack

public double getBack()

Get the expected background

Returns:

getErrBack

public double getErrBack()

Get error on background

Returns:

getNobs

public int getNobs()

Get the number of observations

Returns:

getFraction

public double getFraction()

Get efficiency. Set to 1 if do not know.

Returns:

getErrFraction

public double getErrFraction()

Get error on efficiency. Set to 1 if do not know.

Returns: