Package org.jlab.rec.ahdc.Distance

Class CircleFitter

java.lang.Object

org.jlab.rec.ahdc.Distance.CircleFitter

public class CircleFitter
extends Object

Circle fit using the Karimaki algorithm. The algorithm returns Gaussian parameters' rho (circle curvature), d (doca to orig.) and phi (at doca). Allows for non-iterative solution. Returns covariance matrix of fitted parameter.

Algorithm Reference: Nuclear Instruments and Methods in Physics Research A305 (1991) 187-191 Effective circle fitting for particle trajectories by V. Karimaki

Constructor Summary

Constructors

Constructor	Description
CircleFitter()	Constructor Sets the reference point to (0,0)

Method Summary

Modifier and Type	Method	Description
boolean	fitStatus(List<Double> xm, List<Double> ym, List<Double> wm, int NP)	Fits the set of data points given by arrays xm[], ym[], with corresponding weights wm[].
CircleFitPars	getFit()
void	setrefcoords(double xr, double yr)

Methods inherited from class java.lang.Object

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

Constructor Details

CircleFitter

public CircleFitter()

Constructor Sets the reference point to (0,0)

Method Details

setrefcoords

public void setrefcoords(double xr,
 double yr)

fitStatus

public boolean fitStatus(List<Double> xm,
 List<Double> ym,
 List<Double> wm,
 int NP)

Fits the set of data points given by arrays xm[], ym[], with corresponding weights wm[]. The number of points that are fitted is given by NP. The fit returns a boolean flag of true if the fit was successful.

getFit

public CircleFitPars getFit()