/* * 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]; } }