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psf.c
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/*
* psf.c
*
* Fit a PSF model to an image.
*
*%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
*
* This file part of: SExtractor
*
* Copyright: (C) 1998-2020 IAP/CNRS/SorbonneU
*
* License: GNU General Public License
*
* SExtractor is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
* SExtractor is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
* You should have received a copy of the GNU General Public License
* along with SExtractor. If not, see <http://www.gnu.org/licenses/>.
*
* Last modified: 15/07/2020
*
*%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%*/
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "define.h"
#include "globals.h"
#include "key.h"
#include "prefs.h"
#include "fits/fitscat.h"
#include "check.h"
#include "filter.h"
#include "image.h"
#include "wcs/poly.h"
#include "psf.h"
/*------------------------------- variables ---------------------------------*/
extern keystruct objkey[];
psfstruct *psf,*thedpsf,*thepsf;
psfitstruct *thepsfit,*thedpsfit;
PIXTYPE *checkmask;
/********************************* psf_init **********************************/
/*
Allocate memory and stuff for the PSF-fitting.
*/
void psf_init(void)
{
QMALLOC(thepsfit, psfitstruct, 1);
QMALLOC(thepsfit->x, double, prefs.psf_npsfmax);
QMALLOC(thepsfit->y, double, prefs.psf_npsfmax);
QMALLOC(thepsfit->flux, float, prefs.psf_npsfmax);
QMALLOC(thepsfit->fluxerr, float, prefs.psf_npsfmax);
if (prefs.dpsf_flag)
{
QMALLOC(thedpsfit, psfitstruct, 1);
QMALLOC(thedpsfit->x, double, prefs.psf_npsfmax);
QMALLOC(thedpsfit->y, double, prefs.psf_npsfmax);
QMALLOC(thedpsfit->flux, float, prefs.psf_npsfmax);
QMALLOC(thedpsfit->fluxerr, float, prefs.psf_npsfmax);
}
return;
}
/********************************* psf_end ***********************************/
/*
Free memory occupied by the PSF-fitting stuff.
*/
void psf_end(psfstruct *psf, psfitstruct *psfit)
{
int d, ndim;
if (psf->pc)
pc_end(psf->pc);
ndim = psf->poly->ndim;
for (d=0; d<ndim; d++)
free(psf->contextname[d]);
free(psf->context);
free(psf->contextindex);
free(psf->contextname);
free(psf->contextoffset);
free(psf->contextscale);
free(psf->contexttyp);
poly_end(psf->poly);
free(psf->maskcomp);
free(psf->maskloc);
free(psf->masksize);
free(psf);
if (psfit)
{
free(psfit->x);
free(psfit->y);
free(psfit->flux);
free(psfit->fluxerr);
free(psfit);
}
return;
}
/********************************* psf_load *********************************/
/*
Read the PSF data from a FITS file.
*/
psfstruct *psf_load(char *filename, int ext)
{
extern tabstruct *objtab;
static objstruct saveobj;
static obj2struct saveobj2;
psfstruct *psf;
catstruct *cat;
tabstruct *tab;
keystruct *key;
char rkeyname[80],
*head, *ci,*co, *pstr, *pstrbuf;
int deg[POLY_MAXDIM], group[POLY_MAXDIM], ndim, ngroup,
d,e,i,k,p,n, keyn;
/* Open the cat (well it is not a "cat", but simply a FITS file */
if (!(cat = read_cat(filename)))
error(EXIT_FAILURE, "*Error*: PSF file not found: ", filename);
/* OK, we now allocate memory for the PSF structure itself */
QCALLOC(psf, psfstruct, 1);
/* Store a short copy of the PSF filename */
if ((ci=strrchr(filename, '/')))
strcpy(psf->name, ci+1);
else
strcpy(psf->name, filename);
tab = cat->tab;
for (i=cat->ntab, e=ext?ext-1 : 0;
i-- && (strcmp("PSF_DATA",tab->extname) || e--);
tab = tab->nexttab);
if (i<0)
error(EXIT_FAILURE, "*Error*: PSF_DATA table not found in catalog ",
filename);
head = tab->headbuf;
/*-- Dimension of the polynomial */
if (fitsread(head, "POLNAXIS", &ndim, H_INT,T_LONG) == RETURN_OK && ndim)
{
/*-- So we have a polynomial description of the PSF variations */
if (ndim > POLY_MAXDIM)
{
sprintf(gstr, "*Error*: The POLNAXIS parameter in %s exceeds %d",
psf->name, POLY_MAXDIM);
error(EXIT_FAILURE, gstr, "");
}
QMALLOC(psf->contextname, char *, ndim);
QMALLOC(psf->context, double *, ndim);
QMALLOC(psf->contextindex, int, ndim);
QMALLOC(psf->contexttyp, t_type, ndim);
QMALLOC(psf->contextoffset, double, ndim);
QMALLOC(psf->contextscale, double, ndim);
/*-- We will have to use the outobj structs, so we first save their content */
saveobj = outobj;
saveobj2 = outobj2;
/*-- outobj's are used as FLAG arrays, so we initialize them to 0 */
memset(&outobj, 0, sizeof(outobj));
memset(&outobj2, 0, sizeof(outobj2));
for (i=0; i<ndim; i++)
{
/*---- Polynomial groups */
sprintf(gstr, "POLGRP%1d", i+1);
if (fitsread(head, gstr, &group[i], H_INT,T_LONG) != RETURN_OK)
goto headerror;
/*---- Contexts */
QMALLOC(psf->contextname[i], char, 80);
sprintf(gstr, "POLNAME%1d", i+1);
if (fitsread(head,gstr,psf->contextname[i],H_STRING,T_STRING)!=RETURN_OK)
goto headerror;
if (*psf->contextname[i]==(char)':')
/*------ It seems we're facing a FITS header parameter */
psf->context[i] = NULL; /* This is to tell we'll have to load */
/* a FITS header context later on */
else
/*------ The context element is a dynamic object parameter */
{
strncpy(rkeyname, psf->contextname[i],40);
strtok_r(rkeyname, "([{}])", &pstrbuf);
if ((k = findkey(rkeyname, (char *)objkey,
sizeof(keystruct)))==RETURN_ERROR)
{
sprintf(gstr, "*Error*: %s CONTEXT parameter in %s unknown",
rkeyname, psf->name);
error(EXIT_FAILURE, gstr, "");
}
keyn = (pstr = strtok_r(NULL,"([{}])", &pstrbuf))? atoi(pstr) - 1 : 0;
key = objkey+k;
if (key->naxis)
{
n = 1;
for (d=0; d<key->naxis; d++)
n *= key->naxisn[d];
if (keyn >= n)
{
/*---------- Increase vector size: we restrict ourselves to vectors (1D) */
key->nbytes = key->naxisn[0] = keyn+1;
key->naxis = 1;
changecatparamarrays(rkeyname, key->naxisn, key->naxis);
}
}
else
keyn = -1;
psf->context[i] = (double *)((char *)key->ptr);
psf->contextindex[i] = keyn;
psf->contexttyp[i] = key->ttype;
/*------ Declare the parameter "active" to trigger computation by SExtractor */
*((char *)key->ptr) = (char)'\1';
/*------ Add the key to the catalog */
if (add_key(key, objtab, 0) != RETURN_ERROR)
thecat.nparam++;
if (!cistrcmp("MAG", rkeyname, FIND_NOSTRICT))
psf->mag_flag = 1;
}
/*---- Scaling of the context parameter */
sprintf(gstr, "POLZERO%1d", i+1);
if (fitsread(head, gstr, &psf->contextoffset[i], H_EXPO, T_DOUBLE)
!=RETURN_OK)
goto headerror;
sprintf(gstr, "POLSCAL%1d", i+1);
if (fitsread(head, gstr, &psf->contextscale[i], H_EXPO, T_DOUBLE)
!=RETURN_OK)
goto headerror;
}
/*-- Number of groups */
if (fitsread(head, "POLNGRP ", &ngroup, H_INT, T_LONG) != RETURN_OK)
goto headerror;
for (i=0; i<ngroup; i++)
{
/*---- Polynomial degree for each group */
sprintf(gstr, "POLDEG%1d", i+1);
if (fitsread(head, gstr, °[i], H_INT,T_LONG) != RETURN_OK)
goto headerror;
}
psf->poly = poly_init(group, ndim, deg, ngroup);
/*-- Update the permanent FLAG arrays (that is, perform an "OR" on them) */
for (ci=(char *)&outobj,co=(char *)&flagobj,i=sizeof(objstruct); i--;)
*(co++) |= *(ci++);
for (ci=(char *)&outobj2,co=(char *)&flagobj2,i=sizeof(obj2struct); i--;)
*(co++) |= *(ci++);
/*-- Restore previous outobj contents */
outobj = saveobj;
outobj2 = saveobj2;
}
else
{
/*-- This is a simple, constant PSF */
psf->poly = poly_init(group, 0, deg, 0);
psf->context = NULL;
}
/* Dimensionality of the PSF mask */
if (fitsread(head, "PSFNAXIS", &psf->maskdim, H_INT, T_LONG) != RETURN_OK)
goto headerror;
if (psf->maskdim<2 || psf->maskdim>3)
error(EXIT_FAILURE, "*Error*: wrong dimensionality for the PSF "
"mask in ", filename);
QMALLOC(psf->masksize, int, psf->maskdim);
for (i=0; i<psf->maskdim; i++)
psf->masksize[i] = 1;
psf->masknpix = 1;
for (i=0; i<psf->maskdim; i++)
{
sprintf(gstr, "PSFAXIS%1d", i+1);
if (fitsread(head, gstr, &psf->masksize[i], H_INT,T_LONG) != RETURN_OK)
goto headerror;
psf->masknpix *= psf->masksize[i];
}
/* PSF FWHM: defaulted to 3 pixels */
if (fitsread(head, "PSF_FWHM", &psf->fwhm, H_FLOAT,T_DOUBLE) != RETURN_OK)
psf->fwhm = 3.0;
/* PSF oversampling: defaulted to 1 */
if (fitsread(head, "PSF_SAMP", &psf->pixstep,H_FLOAT,T_FLOAT) != RETURN_OK
|| psf->pixstep <= 0.0)
psf->pixstep = 1.0;
/* Load the PSF mask data */
key = read_key(tab, "PSF_MASK");
psf->maskcomp = key->ptr;
psf->pc = pc_load(cat);
QMALLOC(psf->maskloc, float, psf->masksize[0]*psf->masksize[1]);
/* But don't touch my arrays!! */
blank_keys(tab);
free_cat(&cat, 1);
return psf;
headerror:
error(EXIT_FAILURE, "*Error*: Incorrect or obsolete PSF data in ", filename);
return NULL;
}
/***************************** psf_readcontext *******************************/
/*
Read the PSF context parameters in the FITS header.
*/
void psf_readcontext(psfstruct *psf, picstruct *field)
{
static double contextval[POLY_MAXDIM];
int i, ndim;
ndim = psf->poly->ndim;
for (i=0; i<ndim; i++)
if (!psf->context[i])
{
psf->context[i] = &contextval[i];
psf->contexttyp[i] = T_DOUBLE;
if (fitsread(field->tab->headbuf, psf->contextname[i]+1, &contextval[i],
H_FLOAT,T_DOUBLE) == RETURN_ERROR)
{
sprintf(gstr, "*Error*: %s parameter not found in the header of ",
psf->contextname[i]+1);
error(EXIT_FAILURE, gstr, field->rfilename);
}
}
return;
}
/******************************** psf_fit ***********************************/
/* standard PSF fit for one component */
/****************************************************************************/
void psf_fit(psfstruct *psf, picstruct *field, picstruct *wfield,
objstruct *obj)
{
checkstruct *check;
static obj2struct *obj2 = &outobj2;
static double x2[PSF_NPSFMAX],y2[PSF_NPSFMAX],xy[PSF_NPSFMAX],
deltax[PSF_NPSFMAX],
deltay[PSF_NPSFMAX],
flux[PSF_NPSFMAX],fluxerr[PSF_NPSFMAX],
deltaxb[PSF_NPSFMAX],deltayb[PSF_NPSFMAX],
fluxb[PSF_NPSFMAX],fluxerrb[PSF_NPSFMAX],
sol[PSF_NTOT], covmat[PSF_NTOT*PSF_NTOT],
vmat[PSF_NTOT*PSF_NTOT], wmat[PSF_NTOT];
float *data, *data2, *data3, *weight, *d, *w;
double *mat,
*m, *var,
dx,dy,
pix,pix2, wthresh,val,
backnoise2, gain, radmin2,radmax2,satlevel,chi2,
r2, valmax, psf_fwhm;
float **psfmasks, **psfmaskx,**psfmasky,
*ps, *dh, *wh, pixstep;
PIXTYPE *datah, *weighth;
int i,j,p, npsf,npsfmax, npix, nppix, ix,iy,niter,
width, height, pwidth,pheight, x,y,
xmax,ymax, wbad, gainflag, convflag, npsfflag,
ival,kill=0;
dx = dy = 0.0;
niter = 0;
npsfmax = prefs.psf_npsfmax;
pixstep = 1.0/psf->pixstep;
gain = (field->gain >0.0? field->gain: 1e30);
backnoise2 = field->backsig*field->backsig;
satlevel = field->satur_level - obj->bkg;
wthresh = wfield?wfield->weight_thresh:BIG;
gainflag = prefs.weightgain_flag;
psf_fwhm = psf->fwhm*psf->pixstep;
/* Initialize outputs */
thepsfit->niter = 0;
thepsfit->npsf = 0;
for (j=0; j<npsfmax; j++)
{
thepsfit->x[j] = obj2->posx;
thepsfit->y[j] = obj2->posy;
thepsfit->flux[j] = 0.0;
thepsfit->fluxerr[j] = 0.0;
}
/* Scale data area with object "size" */
ix = (obj->xmax+obj->xmin+1)/2;
iy = (obj->ymax+obj->ymin+1)/2;
width = obj->xmax-obj->xmin+1+psf_fwhm;
if (width < (ival=(int)(psf_fwhm*2)))
width = ival;
height = obj->ymax-obj->ymin+1+psf_fwhm;
if (height < (ival=(int)(psf_fwhm*2)))
height = ival;
npix = width*height;
radmin2 = PSF_MINSHIFT*PSF_MINSHIFT;
radmax2 = npix/2.0;
/* Scale total area with PSF FWHM */
pwidth = (int)(psf->masksize[0]*psf->pixstep)+width;;
pheight = (int)(psf->masksize[1]*psf->pixstep)+height;
nppix = pwidth*pheight;
QMALLOC(weighth, PIXTYPE, npix);
QMALLOC(weight, float, npix);
QMALLOC(datah, PIXTYPE, npix);
QMALLOC(data, float, npix);
QMALLOC(data2, float, npix);
QMALLOC(data3, float, npix);
QMALLOC(mat, double, npix*PSF_NTOT);
if (prefs.check[CHECK_SUBPSFPROTOS] || prefs.check[CHECK_PSFPROTOS]
|| prefs.check[CHECK_SUBPCPROTOS] || prefs.check[CHECK_PCPROTOS]
|| prefs.check[CHECK_PCOPROTOS])
{
QMALLOC(checkmask, PIXTYPE, nppix);
}
QMALLOC(psfmasks, float *, npsfmax);
QMALLOC(psfmaskx, float *, npsfmax);
QMALLOC(psfmasky, float *, npsfmax);
for (i=0; i<npsfmax; i++)
{
QMALLOC(psfmasks[i], float, npix);
QMALLOC(psfmaskx[i], float, npix);
QMALLOC(psfmasky[i], float, npix);
}
copyimage(field, datah, width, height, ix, iy);
/* Compute weights */
wbad = 0;
if (wfield)
{
copyimage(wfield, weighth, width, height, ix, iy);
for (wh=weighth, w=weight, dh=datah,p=npix; p--;)
if ((pix=*(wh++)) < wthresh && pix>0
&& (pix2=*(dh++))>-BIG
&& pix2<satlevel)
*(w++) = 1/sqrt(pix+(pix2>0.0?
(gainflag? pix2*pix/backnoise2:pix2)/gain
:0.0));
else
{
*(w++) = 0.0;
wbad++;
}
}
else
for (w=weight, dh=datah, p=npix; p--;)
if ((pix=*(dh++))>-BIG && pix<satlevel)
*(w++) = 1.0/sqrt(backnoise2+(pix>0.0?pix/gain:0.0));
else
{
*(w++) = 0.0;
wbad++;
}
/* Special action if most of the weights are zero!! */
if (wbad>=npix-3)
return;
/* Weight the data */
dh = datah;
val = obj->dbkg; /* Take into account a local background change */
d = data;
w = weight;
for (p=npix; p--;)
*(d++) = (*(dh++)-val)**(w++);
/* Get the local PSF */
psf_build(psf);
npsfflag = 1;
r2 = psf_fwhm*psf_fwhm/2.0;
fluxb[0] = fluxerrb[0] = deltaxb[0] = deltayb[0] = 0.0;
for (npsf=1; npsf<=npsfmax && npsfflag; npsf++)
{
kill=0;
/*-- First compute an optimum initial guess for the positions of components */
if (npsf>1)
{
/*---- Subtract previously fitted components */
d = data2;
dh = datah;
for (p=npix; p--;)
*(d++) = (double)*(dh++);
for (j=0; j<npsf-1; j++)
{
d = data2;
ps = psfmasks[j];
for (p=npix; p--;)
*(d++) -= flux[j]**(ps++);
}
convolve_image(field, data2, data3, width,height);
/*---- Ignore regions too close to stellar cores */
for (j=0; j<npsf-1; j++)
{
d = data3;
dy = -((double)(height/2)+deltay[j]);
for (y=height; y--; dy += 1.0)
{
dx = -((double)(width/2)+deltax[j]);
for (x=width; x--; dx+= 1.0, d++)
if (dx*dx+dy*dy<r2)
*d = -BIG;
}
}
/*---- Now find the brightest pixel (poor man's guess, to be refined later) */
d = data3;
valmax = -BIG;
xmax = width/2;
ymax = height/2;
for (y=0; y<height; y++)
for (x=0; x<width; x++)
{
if ((val = *(d++))>valmax)
{
valmax = val;
xmax = x;
ymax = y;
}
}
deltax[npsf-1] = (double)(xmax - width/2);
deltay[npsf-1] = (double)(ymax - height/2);
}
else
{
/*---- Only one component to fit: simply use the barycenter as a guess */
deltax[npsf-1] = obj->mx - ix;
deltay[npsf-1] = obj->my - iy;
}
niter = 0;
convflag = 1;
for (i=0; i<PSF_NITER && convflag; i++)
{
convflag = 0,niter++,m=mat;
for (j=0; j<npsf; j++)
{
/*------ Resample the PSFs here for the 1st iteration */
vignet_resample(psf->maskloc, psf->masksize[0], psf->masksize[1],
psfmasks[j], width, height,
-deltax[j]*pixstep, -deltay[j]*pixstep,
pixstep);
m=compute_gradient(weight,width,height,
psfmasks[j],psfmaskx[j],psfmasky[j],m);
}
svdfit(mat, data, npix, npsf*PSF_NA, sol, vmat, wmat);
compute_pos( &npsf, &convflag, &npsfflag,radmin2,radmax2,
r2, sol,flux, deltax, deltay,&dx,&dy);
}
/*-- Compute variances and covariances */
svdvar(vmat, wmat, npsf*PSF_NA, covmat);
var = covmat;
for (j=0; j<npsf; j++, var += (npsf*PSF_NA+1)*PSF_NA)
{
/*---- First, the error on the flux estimate */
fluxerr[j] = sqrt(*var)>0.0? sqrt(*var):999999.0;
//if (flux[j]<12*fluxerr && j>0)
// npsfmax--,flux[j]=0;
if (flux[j]<12*fluxerr[j] && j>0)
{
flux[j]=0,kill++,npsfmax--;
//if(j==npsfmax-1)
// kill++;
}
}
if (npsfflag)
{
/*--- If we reach this point we know the data are worth backuping */
for (j=0; j<npsf; j++)
{
deltaxb[j] = deltax[j];
deltayb[j] = deltay[j];
fluxb[j] = flux[j];
fluxerrb[j]=fluxerr[j];
}
}
}
npsf=npsf-1-kill;
/* Now keep only fitted stars that fall within the current detection area */
i = 0;
for (j=0; j<npsf; j++)
{
x = (int)(deltaxb[j]+0.4999)+width/2;
y = (int)(deltayb[j]+0.4999)+height/2;
if (x<0 || x>=width || y<0 || y>=height)
continue;
if (weight[y*width+x] < 1/BIG)
continue;
if (10*fluxb[j]<fluxb[0] )
continue;
if (fluxb[j]<=0 )
continue;
if (FLAG(obj2.poserrmx2_psf))
compute_poserr(j,covmat,sol,obj2,x2,y2,xy, npsf);
deltax[i] = deltaxb[j];
deltay[i] = deltayb[j];
flux[i] = fluxb[j];
fluxerr[i++] = fluxerrb[j];
}
npsf = i;
/* Compute chi2 if asked to
if (FLAG(obj2.chi2_psf))
{
for (j=0; j<npsf; j++)
{
chi2 = 0.0;
for (d=data,w=weight,p=0; p<npix; w++,p++)
{
pix = *(d++);
pix -= psfmasks[j][p]*flux[j]**w;
chi2 += pix*pix;
if (chi2>1E29) chi2=1E28;
}
obj2->chi2_psf = obj->sigbkg>0.?
chi2/((npix - 3*npsf)*obj->sigbkg*obj->sigbkg):999999;
}
}*/
/* Compute relative chi2 if asked to */
if (FLAG(obj2.chi2_psf))
{
for (j=0; j<npsf; j++)
{
chi2 = 0.0;
for (d=data,w=weight,p=0; p<npix; w++,p++)
{
pix = *(d++)/flux[j];
pix -= psfmasks[j][p]**w;
chi2 += pix*pix;
if (chi2>1E29) chi2=1E28;
}
obj2->chi2_psf = flux[j]>0?
chi2/((npix - 3*npsf)*obj->sigbkg*obj->sigbkg):999999;
}
}
/* CHECK images */
if (prefs.check[CHECK_SUBPSFPROTOS] || prefs.check[CHECK_PSFPROTOS])
for (j=0; j<npsf; j++)
{
vignet_resample(psf->maskloc, psf->masksize[0], psf->masksize[1],
checkmask, pwidth, pheight,
-deltax[j]*pixstep, -deltay[j]*pixstep, pixstep);
if ((check = prefs.check[CHECK_SUBPSFPROTOS]))
addcheck(check, checkmask, pwidth,pheight, ix,iy,-flux[j]);
if ((check = prefs.check[CHECK_PSFPROTOS]))
addcheck(check, checkmask, pwidth,pheight, ix,iy,flux[j]);
}
thepsfit->niter = niter;
thepsfit->npsf = npsf;
for (j=0; j<npsf; j++)
{
thepsfit->x[j] = ix+deltax[j]+1.0;
thepsfit->y[j] = iy+deltay[j]+1.0;
thepsfit->flux[j] = flux[j];
thepsfit->fluxerr[j] = fluxerr[j];
}
/* Now the morphology stuff */
if (prefs.pc_flag)
{
width = pwidth-1;
height = pheight-1;
npix = width*height;
copyimage(field, datah, width, height, ix, iy);
/*-- Re-compute weights */
if (wfield)
{
copyimage(wfield, weighth, width, height, ix, iy);
for (wh=weighth ,w=weight, p=npix; p--;)
*(w++) = (pix=*(wh++))<wthresh? sqrt(pix): 0.0;
}
else
for (w=weight, dh=datah, p=npix; p--;)
*(w++) = ((pix = *(dh++))>-BIG && pix<satlevel)?
1.0/sqrt(backnoise2+(pix>0.0?pix/gain:0.0))
:0.0;
/*-- Weight the data */
dh = datah;
d = data;
w = weight;
for (p=npix; p--;)
*(d++) = *(dh++)*(*(w++));
pc_fit(psf, data, weight, width, height, ix,iy, dx,dy, npix,
field->backsig);
}
for (i=0; i<prefs.psf_npsfmax; i++)
{
QFREE(psfmasks[i]);
QFREE(psfmaskx[i]);
QFREE(psfmasky[i]);
}
QFREE(psfmasks);
QFREE(psfmaskx);
QFREE(psfmasky);
QFREE(datah);
QFREE(data);
QFREE(data2);
QFREE(data3);
QFREE(weighth);
QFREE(weight);
QFREE(data);
QFREE(mat);
if (prefs.check[CHECK_SUBPSFPROTOS] || prefs.check[CHECK_PSFPROTOS]
|| prefs.check[CHECK_SUBPCPROTOS] || prefs.check[CHECK_PCPROTOS]
|| prefs.check[CHECK_PCOPROTOS])
{
QFREE(checkmask);
}
return;
}
/******************************** double_psf_fit *******************************
****/
/* double fit to make the psf detection on one image and the photometry on anoth
er */
/*******************************************************************************
****/
void double_psf_fit(psfstruct *psf, picstruct *field, picstruct *wfield,
objstruct *obj, psfstruct *dpsf, picstruct *dfield,
picstruct *dwfield)
{
static double /* sum[PSF_NPSFMAX]*/ pdeltax[PSF_NPSFMAX],
pdeltay[PSF_NPSFMAX],psol[PSF_NPSFMAX], pcovmat[PSF_NPSFMAX*PSF_NPSFMAX],
pvmat[PSF_NPSFMAX*PSF_NPSFMAX], pwmat[PSF_NPSFMAX],pflux[PSF_NPSFMAX],
pfluxerr[PSF_NPSFMAX];
double *pmat,
*pm, /* *pps, *px, *py,*/
dx,dy,pdx,pdy, /* x1,y1, mx,my,mflux, */
val, ppix,ppix2, /* dflux, */
gain, radmin2,radmax2,satlevel
,chi2,pwthresh,pbacknoise2, /* mr, */
r2=0, dpsf_fwhm,psf_fwhm ;
float **psfmasks, **psfmaskx,**psfmasky, *pps;
float *pdata, *pdata2, *pdata3, *pweight, *pd, *pw,
*pdh, *pwh, pixstep,ppixstep;
PIXTYPE *pdatah, *pweighth;
int i,j,k,p, npsf, npix,ix,iy,
width, height, /* hw,hh, */
x,y, /* yb, */
wbad, gainflag,
ival,npsfmax;
double *pvar;
static obj2struct *obj2 = &outobj2;
pdx = pdy =dx = dy = 0.0;
ppixstep = 1.0/psf->pixstep;
pixstep = 1.0/dpsf->pixstep;
gain = (dfield->gain >0.0? dfield->gain: 1e30);
npsfmax=prefs.psf_npsfmax;
pbacknoise2 = field->backsig*field->backsig;
satlevel = dfield->satur_level - obj->bkg;
gainflag = prefs.weightgain_flag;
dpsf_fwhm = dpsf->fwhm*dpsf->pixstep;
psf_fwhm = psf->fwhm*psf->pixstep;
pwthresh = wfield?wfield->weight_thresh:BIG;
/* Initialize outputs */
thepsfit->niter = 0;
thepsfit->npsf = 0;
for (j=0; j<npsfmax; j++)
{
thepsfit->x[j] = 999999.0;
thepsfit->y[j] = 999999.0;
thepsfit->flux[j] = 0.0;
thepsfit->fluxerr[j] = 0.0;
pdeltax[j]= pdeltay[j]=psol[j]= pwmat[j]=pflux[j]=pfluxerr[j]=0.0;
}
ix = (obj->xmax+obj->xmin+1)/2;
iy = (obj->ymax+obj->ymin+1)/2;
width = obj->xmax-obj->xmin+1+dpsf_fwhm;
if (width < (ival=(int)(dpsf_fwhm*2)))
width = ival;
height = obj->ymax-obj->ymin+1+dpsf_fwhm;
if (height < (ival=(int)(dpsf_fwhm*2)))
height = ival;
npix = width*height;
radmin2 = PSF_MINSHIFT*PSF_MINSHIFT;
radmax2 = npix/2.0;
psf_fit(dpsf,dfield, dwfield,obj);
npsf=thedpsfit->npsf;
QMALLOC(psfmasks,float *,npsfmax);
QMALLOC(psfmaskx,float *,npsfmax);
QMALLOC(psfmasky,float *,npsfmax);
for (i=0; i<npsfmax; i++)
{
QMALLOC(psfmasks[i],float,npix);
QMALLOC(psfmaskx[i],float,npix);
QMALLOC(psfmasky[i],float,npix);
}
QMALLOC(pweighth, PIXTYPE, npix);
QMALLOC(pweight, float, npix);
QMALLOC(pdatah, PIXTYPE, npix);
QMALLOC(pdata, float, npix);
QMALLOC(pdata2, float, npix);
QMALLOC(pdata3, float, npix);
QMALLOC(pmat, double, npix*npsfmax);
for (j=0; j<npsf; j++)
{
pdeltax[j] =thedpsfit->x[j]-ix-1 ;
pdeltay[j] =thedpsfit->y[j]-iy-1 ;
thepsfit->flux[j] = 0;
thepsfit->fluxerr[j] = 0;
}
/*------------------- Now the photometry fit ---------------------*/
copyimage(field, pdatah, width, height, ix, iy);
/* Compute photometry weights */
wbad = 0;
if (wfield)
{
copyimage(wfield, pweighth, width, height, ix, iy);
for (pwh=pweighth, pw=pweight, pdh=pdatah,p=npix; p--;)
{
if ((ppix=*(pwh++)) < pwthresh && ppix>0
&& (ppix2=*(pdh++))>-BIG && ppix2<satlevel)
{
*(pw++) = 1/sqrt(ppix+(ppix2>0.0?
(gainflag? ppix2*ppix/pbacknoise2:ppix2)/gain : 0.0));
}
else
{
*(pw++) = 0.0;
wbad++;
}
}
}
else
for (pw=pweight, pdh=pdatah, p=npix; p--;)
if ((ppix=*(pdh++))>-BIG && ppix<satlevel)
{
*(pw++) = 1.0/sqrt(pbacknoise2+(ppix>0.0?ppix/gain:0.0));
}
else
{
*(pw++) = 0.0;
wbad++;
}
/* Special action if most of the weights are zero!! */
if (wbad>=npix-3)
return;
/* Weight the data */
pdh = pdatah;
pd = pdata;
pw = pweight;
val = obj->dbkg;
for (p=npix; p--;)
*(pd++) = (*(pdh++)-val)**(pw++);
/* Get the photmetry PSF */
psf_build(psf);
for (j=1; j<=npsf; j++)
{
if (j>1)
{
/*---- Subtract //previously fitted components in photometry image */
pd = pdata2;
pdh = pdatah;
for (p=npix; p--;)
*(pd++) = (double)*(pdh++);
for (k=0; k<j-1; k++)
{
pd = pdata2;
pps = psfmasks[k];
for (p=npix; p--;)
*(pd++) -= pflux[k]**(pps++);
}
convolve_image(field, pdata2, pdata3, width,height);
/*---- Ignore regions too close to stellar cores */
for (k=0; k<j-1; k++)
{
pd = pdata3;
dy = -((double)(height/2)+pdeltay[k]);
for (y=height; y--; dy += 1.0)
{
dx = -((double)(width/2)+pdeltax[k]);
for (x=width; x--; dx+= 1.0, pd++)
if (dx*dx+dy*dy<r2) /*?*/
*pd = -BIG;
}
}
}
pm=pmat;
for (k=0; k<j; k++)
{
/*------ Resample the PSFs here for the 1st iteration */
vignet_resample(psf->maskloc,
psf->masksize[0], psf->masksize[1],
psfmasks[k], width, height,
-pdeltax[k]*ppixstep, -pdeltay[k]*ppixstep,
ppixstep);
pm=compute_gradient_phot(pweight,width,height, psfmasks[k],pm);
}
svdfit(pmat, pdata, npix, j, psol, pvmat, pwmat);
compute_pos_phot( &j, psol,pflux);
for (k=0; k<j; k++)
{
svdvar(pvmat, pwmat, j, pcovmat);
pvar = pcovmat;
pfluxerr[k]= sqrt(*pvar)>0.0 && sqrt(*pvar)<99?
sqrt(*pvar):99;
}
}
/* Compute chi2 if asked to
if (FLAG(obj2.chi2_psf))
{
for (j=0; j<npsf; j++)
{
chi2 = 0.0;
for (pd=pdata,pw=pweight,p=0; p<npix; pw++,p++)
{
ppix = *(pd++);
ppix -= psfmasks[j][p]*pflux[j]**pw;
chi2 += ppix*ppix;
if (chi2>1E29) chi2=1E28;
}
obj2->chi2_psf = obj->sigbkg>0.?
chi2/((npix - 3*npsf)*obj->sigbkg*obj->sigbkg):999999;
}
}
*/
/* Compute relative error if asked to */
if (FLAG(obj2.chi2_psf))
{
for (j=0; j<npsf; j++)
{
chi2 = 0.0;
for (pd=pdata,pw=pweight,p=0; p<npix; pw++,p++)
{