/*
* EfficiencyBinner2D.java
*
* Created on July 22, 2002, 10:19 AM
*/
package hep.aida.ref.histogram.binner;
/**
*
* @author The AIDA team at SLAC.
*
*/
public class EfficiencyBinner2D implements Binner2D {
private int[][] entries;
private double[][] heights;
private double[][] meansX;
private double[][] rmssX;
private double[][] meansY;
private double[][] rmssY;
private int xBins;
private int yBins;
/**
* Creates a new instance of EfficiencyBinner1D.
*/
public EfficiencyBinner2D(int xBins, int yBins) {
if (xBins < 0) throw new IllegalArgumentException("Number of bins cannot be negative!!! "+xBins);
if (yBins < 0) throw new IllegalArgumentException("Number of bins cannot be negative!!! "+yBins);
setNumberOfBins(xBins, yBins);
}
public void fill( int xBin, int yBin, double x, double y, double weight) {
if ( weight < 0 || weight > 1 ) throw new IllegalArgumentException("Wrong weight "+weight+" !! It has to be between 0 and 1");
entries[xBin][yBin]++;
heights[xBin][yBin] += weight;
meansX[xBin][yBin] += x*weight;
rmssX[xBin][yBin] += x*x*weight;
meansY[xBin][yBin] += y*weight;
rmssY[xBin][yBin] += y*y*weight;
}
public void clear() {
createArrays( xBins, yBins );
}
private void setNumberOfBins(int xBins, int yBins) {
this.xBins = xBins;
this.yBins = yBins;
createArrays(xBins, yBins);
}
public int entries(int xBin, int yBin) {
return entries[xBin][yBin];
}
public double height(int xBin, int yBin) {
if ( entries(xBin,yBin) > 0 )
return heights[xBin][yBin]/entries(xBin,yBin);
return 0;
}
public double plusError(int xBin, int yBin) {
return EfficiencyBinnerUtils.H95CL(heights[xBin][yBin],entries[xBin][yBin],1);
}
public double minusError(int xBin, int yBin) {
return EfficiencyBinnerUtils.H95CL(heights[xBin][yBin],entries[xBin][yBin],2);
}
public double meanX(int xBin, int yBin) {
double h = heights[xBin][yBin];
if ( h != 0 ) return meansX[xBin][yBin]/h;
return Double.NaN;
}
public double meanY(int xBin, int yBin) {
double h = heights[xBin][yBin];
if ( h != 0 ) return meansY[xBin][yBin]/h;
return Double.NaN;
}
public double rmsX(int xBin, int yBin) {
double h = heights[xBin][yBin];
double m = meanX(xBin,yBin);
if ( h != 0 ) return Math.sqrt( Math.abs(rmssX[xBin][yBin]/h - m*m) );
return Double.NaN;
}
public double rmsY(int xBin, int yBin) {
double h = heights[xBin][yBin];
double m = meanY(xBin,yBin);
if ( h != 0 ) return Math.sqrt( Math.abs(rmssY[xBin][yBin]/h - m*m) );
return Double.NaN;
}
public void setBinContent(int xBin, int yBin, int entries, double height, double plusError, double minusError, double meanX, double rmsX, double meanY, double rmsY) {
this.entries[xBin][yBin] = entries;
if ( ! Double.isNaN(height) )
heights[xBin][yBin] = height*entries;
else
heights[xBin][yBin] = entries*entries;
meansX[xBin][yBin] = 0;
rmssX[xBin][yBin] = 0;
meansY[xBin][yBin] = 0;
rmssY[xBin][yBin] = 0;
if ( heights[xBin][yBin] != 0 ) {
meansX[xBin][yBin] = meanX*heights[xBin][yBin];
rmssX[xBin][yBin] = rmsX*rmsX*heights[xBin][yBin] + meanX*meanX*heights[xBin][yBin];
meansY[xBin][yBin] = meanY*heights[xBin][yBin];
rmssY[xBin][yBin] = rmsY*rmsY*heights[xBin][yBin] + meanY*meanY*heights[xBin][yBin];
}
}
public void scale( double scaleFactor ) {
for ( int xBin = 0; xBin < xBins; xBin++ ) {
for ( int yBin = 0; yBin < yBins; yBin++ ) {
heights[xBin][yBin] *= scaleFactor;
meansX[xBin][yBin] *= scaleFactor;
rmssX[xBin][yBin] *= scaleFactor;
meansY[xBin][yBin] *= scaleFactor;
rmssY[xBin][yBin] *= scaleFactor;
}
}
}
private void createArrays(int xBins, int yBins) {
entries = new int[xBins][yBins];
heights = new double[xBins][yBins];
meansX = new double[xBins][yBins];
rmssX = new double[xBins][yBins];
meansY = new double[xBins][yBins];
rmssY = new double[xBins][yBins];
}
}