/* @file  pmPSF.h
 *
 * This file contains typedefs for the Point-Spread Function and prototypes
 * for functions that calculate the PSF.
 *
 * @author EAM, IfA
 *
 * @version $Revision: 1.18 $ $Name: not supported by cvs2svn $
 * @date $Date: 2007-09-25 22:05:05 $
 * Copyright 2004 Maui High Performance Computing Center, University of Hawaii
 */

# ifndef PM_PSF_H
# define PM_PSF_H

/// @addtogroup Objects Object Detection / Analysis Functions
/// @{

// type of model carried by the pmModel structure
typedef int pmModelType;

/** pmPSF data structure
 *
 * It is useful to generate a model to define the point-spread-function which
 * describes the flux distribution for unresolved sources in an image. In
 * general, the PSF varies with position in the image. We allow any of the source
 * models defined for the pmModel to represent the PSF. For a given source model,
 * the 2D spatial variation of all of the source parameters, except the first
 * four PSF-independent parameters, are represented as polynomial, stored in a
 * psArray. The other elements of the structure define the quality of the PSF
 * determination.
 *
 */
typedef struct
{
    pmModelType type;			///< PSF Model in use
    psArray *params;			///< Model parameters (psPolynomial2D)
    psStats *psfTrendStats;		///< psf parameter trend clipping stats
    pmTrend2DMode psfTrendMode;
    psPolynomial1D *ChiTrend;           ///< Chisq vs flux fit (correction for systematic errors)
    pmTrend2D *ApTrend;                 ///< ApResid vs (x,y)
    pmTrend2D *FluxScale;               ///< Flux for PSF at (x,y) for normalization = 1.0
    float ApResid;                      ///< apMag - psfMag (for PSF stars)
    float dApResid;                     ///< scatter of ApResid
    float skyBias;                      ///< implied residual sky offset from ApResid fit
    float skySat;                       ///< roll-over of ApResid fit
    float chisq;                        ///< PSF goodness statistic (unused??)
    int nPSFstars;                      ///< number of stars used to measure PSF
    int nApResid;                       ///< number of stars used to measure ApResid
    int trendNx;
    int trendNy;
    int fieldNx;
    int fieldNy;
    int fieldXo;
    int fieldYo;
    bool poissonErrorsPhotLMM;		///< use poission errors for non-linear model fitting
    bool poissonErrorsPhotLin;		///< use poission errors for linear model fitting
    bool poissonErrorsParams;		///< use poission errors for model parameter fitting
    pmGrowthCurve *growth;              ///< apMag vs Radius
    pmResiduals *residuals;             ///< normalized residual image (no spatial variation)
}
pmPSF;

typedef struct {
    pmModelType   type;
    psStats      *stats;		// psfTrend clipping stats
    pmTrend2DMode psfTrendMode;
    int           psfTrendNx;
    int           psfTrendNy;
    int           psfFieldNx;
    int           psfFieldNy;
    int           psfFieldXo;
    int           psfFieldYo;
    bool 	  poissonErrorsPhotLMM;	///< use poission errors for non-linear model fitting
    bool 	  poissonErrorsPhotLin;	///< use poission errors for linear model fitting
    bool 	  poissonErrorsParams; ///< use poission errors for model parameter fitting
    float         radius;
} pmPSFOptions;

# define PM_PAR_E0 PM_PAR_SXX
# define PM_PAR_E1 PM_PAR_SYY
# define PM_PAR_E2 PM_PAR_SXY

/**
 *
 * Allocator for the pmPSF structure.
 *
 */
pmPSF *pmPSFAlloc (pmPSFOptions *options);
pmPSFOptions *pmPSFOptionsAlloc ();

double pmPSF_SXYfromModel (psF32 *modelPar);
double pmPSF_SXYtoModel (psF32 *fittedPar);

bool pmGrowthCurveGenerate (pmReadout *readout, pmPSF *psf, bool ignore, psMaskType maskVal, psMaskType mark);
pmPSF *pmPSFBuildSimple (char *typeName, float sxx, float syy, float sxy, ...);

bool pmPSF_AxesToModel (psF32 *modelPar, psEllipseAxes axes);
bool pmPSF_FitToModel (psF32 *fittedPar, float minMinorAxis);

psEllipsePol pmPSF_ModelToFit (psF32 *modelPar);
psEllipseAxes pmPSF_ModelToAxes (psF32 *modelPar, double maxAR);

/// @}
# endif
