Newer
Older
var = 1.0/(weight*weight);
}
tvobj += pix;
sigtvobj += var;
tvmin += *(lmodpix++);
// *(lmodpix++) = pix;
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
}
else
tvmout += *(lmodpix++);
}
}
// tv -= area*bkg;
tvm = tvmin + tvmout;
if (tvm != 0.0)
{
obj2->fluxcor_prof = tvobj+obj2->flux_prof*tvmout/tvm;
obj2->fluxcorerr_prof = sqrt(sigtvobj
+obj2->fluxerr_prof*obj2->fluxerr_prof*tvmout/tvm);
}
else
{
obj2->fluxcor_prof = tvobj;
obj2->fluxcorerr_prof = sqrt(sigtvobj);
}
/*
if ((check = prefs.check[CHECK_OTHER]))
addcheck(check, profit->lmodpix, w, h, profit->ix,profit->iy, 1.0);
*/
/****i* prof_gammainc *********************************************************
PROTO double prof_gammainc(double x, double a)
PURPOSE Returns the incomplete Gamma function (based on algorithm described in
Numerical Recipes in C, chap. 6.1).
INPUT A double,
upper integration limit.
OUTPUT Incomplete Gamma function.
NOTES -.
AUTHOR E. Bertin (IAP)
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
*/
static double prof_gammainc (double x, double a)
{
double b,c,d,h, xn,xp, del,sum;
int i;
if (a < 0.0 || x <= 0.0)
return 0.0;
if (a < (x+1.0))
{
/*-- Use the series representation */
xp = x;
del = sum = 1.0/x;
for (i=100;i--;) /* Iterate to convergence */
{
sum += (del *= a/(++xp));
if (fabs(del) < fabs(sum)*3e-7)
return sum*exp(-a+x*log(a)) / prof_gamma(x);
}
}
else
{
/*-- Use the continued fraction representation and take its complement */
b = a + 1.0 - x;
c = 1e30;
h = d = 1.0/b;
for (i=1; i<=100; i++) /* Iterate to convergence */
{
xn = -i*(i-x);
b += 2.0;
if (fabs(d=xn*d+b) < 1e-30)
d = 1e-30;
if (fabs(c=b+xn/c) < 1e-30)
c = 1e-30;
del= c * (d = 1.0/d);
h *= del;
if (fabs(del-1.0) < 3e-7)
return 1.0 - exp(-a+x*log(a))*h / prof_gamma(x);
}
}
error(EXIT_FAILURE, "*Error*: out of bounds in ",
"prof_gammainc()");
return 0.0;
}
/****i* prof_gamma ************************************************************
PROTO double prof_gamma(double xx)
PURPOSE Returns the Gamma function (based on algorithm described in Numerical
Recipes in C, chap 6.1).
INPUT A double.
OUTPUT Gamma function.
NOTES -.
AUTHOR E. Bertin (IAP)
*/
static double prof_gamma(double xx)
{
double x,tmp,ser;
static double cof[6]={76.18009173,-86.50532033,24.01409822,
-1.231739516,0.120858003e-2,-0.536382e-5};
int j;
tmp=(x=xx-1.0)+5.5;
tmp -= (x+0.5)*log(tmp);
ser=1.0;
for (j=0;j<6;j++)
ser += cof[j]/(x+=1.0);
return 2.50662827465*ser*exp(-tmp);
}
/****** profit_minradius ******************************************************
PROTO float profit_minradius(profitstruct *profit, float refffac)
PURPOSE Returns the minimum disk radius that guarantees that each and
every model component fits within some margin in that disk.
INPUT Profit structure pointer,
margin in units of (r/r_eff)^(1/n)).
OUTPUT Radius (in pixels).
NOTES -.
AUTHOR E. Bertin (IAP)
*/
float profit_minradius(profitstruct *profit, float refffac)
{
double r,reff,rmax;
int p;
rmax = reff = 0.0;
for (p=0; p<profit->nprof; p++)
{
switch (profit->prof[p]->code)
{
case MODEL_BACK:
case MODEL_DIRAC:
case MODEL_SERSIC:
reff = *profit->paramlist[PARAM_SPHEROID_REFF];
case MODEL_DEVAUCOULEURS:
reff = *profit->paramlist[PARAM_SPHEROID_REFF];
case MODEL_EXPONENTIAL:
reff = *profit->paramlist[PARAM_DISK_SCALE]*1.67835;
default:
error(EXIT_FAILURE, "*Internal Error*: Unknown profile parameter in ",
"profit_minradius()");
}
r = reff*(double)refffac;
if (r>rmax)
rmax = r;
}
return (float)rmax;
}
/****** profit_psf ************************************************************
PROTO void profit_psf(profitstruct *profit)
PURPOSE Build the local PSF at a given resolution.
INPUT Profile-fitting structure.
OUTPUT -.
NOTES -.
AUTHOR E. Bertin (IAP)
***/
void profit_psf(profitstruct *profit)
{
double flux;
float posin[2], posout[2], dnaxisn[2],
xcout,ycout, xcin,ycin, invpixstep, norm;
int d,i;
psf = profit->psf;
psf_build(psf);
xcout = (float)(profit->modnaxisn[0]/2) + 1.0; /* FITS convention */
ycout = (float)(profit->modnaxisn[1]/2) + 1.0; /* FITS convention */
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
xcin = (psf->masksize[0]/2) + 1.0; /* FITS convention */
ycin = (psf->masksize[1]/2) + 1.0; /* FITS convention */
invpixstep = profit->pixstep / psf->pixstep;
/* Initialize multi-dimensional counters */
for (d=0; d<2; d++)
{
posout[d] = 1.0; /* FITS convention */
dnaxisn[d] = profit->modnaxisn[d]+0.5;
}
/* Remap each pixel */
pixout = profit->psfpix;
flux = 0.0;
for (i=profit->modnaxisn[0]*profit->modnaxisn[1]; i--;)
{
posin[0] = (posout[0] - xcout)*invpixstep + xcin;
posin[1] = (posout[1] - ycout)*invpixstep + ycin;
flux += ((*(pixout++) = interpolate_pix(posin, psf->maskloc,
psf->masksize, INTERP_LANCZOS3)));
for (d=0; d<2; d++)
if ((posout[d]+=1.0) < dnaxisn[d])
break;
else
posout[d] = 1.0;
}
/* Normalize PSF flux (just in case...) */
Emmanuel Bertin
committed
flux *= profit->pixstep*profit->pixstep;
if (fabs(flux) <= 0.0)
error(EXIT_FAILURE, "*Error*: PSF model is empty or negative: ", psf->name);
norm = 1.0/flux;
pixout = profit->psfpix;
for (i=profit->modnaxisn[0]*profit->modnaxisn[1]; i--;)
*(pixout++) *= norm;
return;
}
/****** profit_minimize *******************************************************
PROTO void profit_minimize(profitstruct *profit)
PURPOSE Provide a function returning residuals to lmfit.
INPUT Pointer to the profit structure involved in the fit,
maximum number of iterations.
OUTPUT Number of iterations used.
NOTES -.
AUTHOR E. Bertin (IAP)
Emmanuel Bertin
committed
VERSION 20/05/2011
***/
int profit_minimize(profitstruct *profit, int niter)
{
Emmanuel Bertin
committed
double lm_opts[5], info[LM_INFO_SZ],
dcovar[PARAM_NPARAM*PARAM_NPARAM], dparam[PARAM_NPARAM];
int nfree;
profit->iter = 0;
memset(dcovar, 0, profit->nparam*profit->nparam*sizeof(double));
Emmanuel Bertin
committed
lm_opts[0] = 1.0e-3; /* Initial mu */
lm_opts[1] = 1.0e-6; /* ||J^T e||_inf stopping factor */
lm_opts[2] = 1.0e-6; /* |Dp||_2 stopping factor */
lm_opts[3] = 1.0e-6; /* ||e||_2 stopping factor */
Emmanuel Bertin
committed
lm_opts[4] = 1.0e-4; /* Jacobian step */
Emmanuel Bertin
committed
nfree = profit_boundtounbound(profit, profit->paraminit, dparam,
PARAM_ALLPARAMS);
Emmanuel Bertin
committed
niter = dlevmar_dif(profit_evaluate, dparam, NULL, nfree, profit->nresi,
niter, lm_opts, info, NULL, dcovar, profit);
profit_unboundtobound(profit, dparam, profit->paraminit, PARAM_ALLPARAMS);
/* Convert covariance matrix to bounded space */
profit_covarunboundtobound(profit, dcovar, profit->covar);
return niter;
}
/****** profit_printout *******************************************************
PROTO void profit_printout(int n_par, float* par, int m_dat, float* fvec,
void *data, int iflag, int iter, int nfev )
PURPOSE Provide a function to print out results to lmfit.
INPUT Number of fitted parameters,
pointer to the vector of parameters,
number of data points,
pointer to the vector of residuals (output),
pointer to the data structure (unused),
0 (init) 1 (outer loop) 2(inner loop) -1(terminated),
outer loop counter,
number of calls to evaluate().
OUTPUT -.
NOTES Input arguments are there only for compatibility purposes (unused)
AUTHOR E. Bertin (IAP)
VERSION 17/09/2008
***/
void profit_printout(int n_par, float* par, int m_dat, float* fvec,
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
void *data, int iflag, int iter, int nfev )
{
checkstruct *check;
profitstruct *profit;
char filename[256];
static int itero;
profit = (profitstruct *)data;
if (0 && (iter!=itero || iter<0))
{
if (iter<0)
itero++;
else
itero = iter;
sprintf(filename, "check_%d_%04d.fits", the_gal, itero);
check=initcheck(filename, CHECK_PROFILES, 0);
reinitcheck(the_field, check);
addcheck(check, profit->lmodpix, profit->objnaxisn[0],profit->objnaxisn[1],
profit->ix,profit->iy, 1.0);
reendcheck(the_field, check);
endcheck(check);
}
return;
}
/****** profit_evaluate ******************************************************
PROTO void profit_evaluate(double *par, double *fvec, int m, int n,
void *adata)
PURPOSE Provide a function returning residuals to levmar.
INPUT Pointer to the vector of parameters,
pointer to the vector of residuals (output),
number of model parameters,
number of data points,
pointer to a data structure (we use it for the profit structure here).
Emmanuel Bertin
committed
VERSION 20/05/2011
void profit_evaluate(double *dpar, double *fvec, int m, int n, void *adata)
profitstruct *profit;
profstruct **prof;
double *dpar0, *dresi;
float *modpixt, *profpixt, *resi,
tparam, val;
PIXTYPE *lmodpixt,*lmodpix2t, *objpix,*weight,
wval;
int c,f,i,p,q, fd,pd, jflag,sflag, nprof;
/* Detect "Jacobian-related" calls */
jflag = pd = fd = 0;
dpar0 = profit->dparam;
if (profit->iter)
{
f = q = 0;
for (p=0; p<profit->nparam; p++)
{
if (dpar[f] - dpar0[f] != 0.0)
{
pd = p;
fd = f;
q++;
}
Emmanuel Bertin
committed
if (profit->parfittype[p]!=PARFIT_FIXED)
f++;
}
if (f>0 && q==1)
jflag = 1;
}
Emmanuel Bertin
committed
jflag = 0; /* Temporarily deactivated (until problems are fixed) */
if (jflag && !(profit->nprof==1 && profit->prof[0]->code == MODEL_DIRAC))
{
prof = profit->prof;
nprof = profit->nprof;
/*-- "Jacobian call" */
tparam = profit->param[pd];
profit_unboundtobound(profit, &dpar[fd], &profit->param[pd], pd);
sflag = 1;
switch(profit->paramrevindex[pd])
{
case PARAM_BACK:
lmodpixt = profit->lmodpix;
lmodpix2t = profit->lmodpix2;
val = (profit->param[pd] - tparam);
for (i=profit->nobjpix;i--;)
*(lmodpix2t++) = val;
break;
case PARAM_X:
case PARAM_Y:
profit_resample(profit, profit->cmodpix, profit->lmodpix2, 1.0);
lmodpixt = profit->lmodpix;
lmodpix2t = profit->lmodpix2;
for (i=profit->nobjpix;i--;)
*(lmodpix2t++) -= *(lmodpixt++);
break;
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
case PARAM_SPHEROID_FLUX:
case PARAM_DISK_FLUX:
case PARAM_ARMS_FLUX:
case PARAM_BAR_FLUX:
if (nprof==1 && tparam != 0.0)
{
lmodpixt = profit->lmodpix;
lmodpix2t = profit->lmodpix2;
val = (profit->param[pd] - tparam) / tparam;
for (i=profit->nobjpix;i--;)
*(lmodpix2t++) = val**(lmodpixt++);
}
else
{
for (c=0; c<nprof; c++)
if (prof[c]->flux == &profit->param[pd])
break;
memcpy(profit->modpix, prof[c]->pix, profit->nmodpix*sizeof(float));
profit_convolve(profit, profit->modpix);
profit_resample(profit, profit->modpix, profit->lmodpix2,
profit->param[pd] - tparam);
}
break;
case PARAM_SPHEROID_REFF:
case PARAM_SPHEROID_ASPECT:
case PARAM_SPHEROID_POSANG:
case PARAM_SPHEROID_SERSICN:
sflag = 0; /* We are in the same switch */
for (c=0; c<nprof; c++)
if (prof[c]->code == MODEL_SERSIC
|| prof[c]->code == MODEL_DEVAUCOULEURS)
break;
case PARAM_DISK_SCALE:
case PARAM_DISK_ASPECT:
case PARAM_DISK_POSANG:
if (sflag)
for (c=0; c<nprof; c++)
if (prof[c]->code == MODEL_EXPONENTIAL)
break;
sflag = 0;
case PARAM_ARMS_QUADFRAC:
case PARAM_ARMS_SCALE:
case PARAM_ARMS_START:
case PARAM_ARMS_POSANG:
case PARAM_ARMS_PITCH:
case PARAM_ARMS_PITCHVAR:
case PARAM_ARMS_WIDTH:
if (sflag)
for (c=0; c<nprof; c++)
if (prof[c]->code == MODEL_ARMS)
break;
sflag = 0;
case PARAM_BAR_ASPECT:
case PARAM_BAR_POSANG:
if (sflag)
for (c=0; c<nprof; c++)
if (prof[c]->code == MODEL_ARMS)
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
break;
modpixt = profit->modpix;
profpixt = prof[c]->pix;
val = -*prof[c]->flux;
for (i=profit->nmodpix;i--;)
*(modpixt++) = val**(profpixt++);
memcpy(profit->modpix2, prof[c]->pix, profit->nmodpix*sizeof(float));
prof_add(profit, prof[c], 0);
memcpy(prof[c]->pix, profit->modpix2, profit->nmodpix*sizeof(float));
profit_convolve(profit, profit->modpix);
profit_resample(profit, profit->modpix, profit->lmodpix2, 1.0);
break;
default:
error(EXIT_FAILURE, "*Internal Error*: ",
"unknown parameter index in profit_jacobian()");
break;
}
objpix = profit->objpix;
weight = profit->objweight;
lmodpixt = profit->lmodpix;
lmodpix2t = profit->lmodpix2;
resi = profit->resi;
dresi = fvec;
if (PROFIT_DYNPARAM > 0.0)
for (i=profit->nobjpix;i--; lmodpixt++, lmodpix2t++)
{
val = *(objpix++);
if ((wval=*(weight++))>0.0)
*(dresi++) = *(resi++) + *lmodpix2t
* wval/(1.0+wval*fabs(*lmodpixt - val)/PROFIT_DYNPARAM);
}
else
for (i=profit->nobjpix;i--; lmodpix2t++)
if ((wval=*(weight++))>0.0)
*(dresi++) = *(resi++) + *lmodpix2t * wval;
}
else
{
/*-- "Regular call" */
for (p=0; p<profit->nparam; p++)
dpar0[p] = dpar[p];
profit_unboundtobound(profit, dpar, profit->param, PARAM_ALLPARAMS);
profit_residuals(profit, the_field, the_wfield, PROFIT_DYNPARAM,
profit->param, profit->resi);
for (p=0; p<profit->nresi; p++)
fvec[p] = profit->resi[p];
}
// profit_printout(m, par, n, fvec, adata, 0, -1, 0 );
profit->iter++;
return;
}
/****** profit_residuals ******************************************************
PROTO float *prof_residuals(profitstruct *profit, picstruct *field,
picstruct *wfield, float dynparam, float *param, float *resi)
PURPOSE Compute the vector of residuals between the data and the galaxy
profile model.
INPUT Profile-fitting structure,
pointer to the field,
pointer to the field weight,
dynamic compression parameter (0=no compression),
pointer to the model parameters (output),
pointer to the computed residuals (output).
OUTPUT Vector of residuals.
NOTES -.
AUTHOR E. Bertin (IAP)
float *profit_residuals(profitstruct *profit, picstruct *field,
picstruct *wfield, float dynparam, float *param, float *resi)
nmodpix = profit->modnaxisn[0]*profit->modnaxisn[1]*sizeof(float);
memset(profit->modpix, 0, nmodpix);
for (p=0; p<profit->nparam; p++)
profit->param[p] = param[p];
/* Simple PSF shortcut */
if (profit->nprof == 1 && profit->prof[0]->code == MODEL_DIRAC)
profit_resample(profit, profit->psfpix, profit->lmodpix,
*profit->prof[0]->flux);
profit->flux = *profit->prof[0]->flux;
}
else
{
profit->flux = 0.0;
for (p=0; p<profit->nprof; p++)
profit->flux += prof_add(profit, profit->prof[p], 0);
memcpy(profit->cmodpix, profit->modpix, profit->nmodpix*sizeof(float));
profit_convolve(profit, profit->cmodpix);
profit_resample(profit, profit->cmodpix, profit->lmodpix, 1.0);
if (resi)
profit_compresi(profit, dynparam, resi);
return resi;
}
/****** profit_compresi ******************************************************
PROTO float *prof_compresi(profitstruct *profit, float dynparam,
float *resi)
PURPOSE Compute the vector of residuals between the data and the galaxy
profile model.
INPUT Profile-fitting structure,
dynamic-compression parameter (0=no compression),
vector of residuals (output).
OUTPUT Vector of residuals.
NOTES -.
AUTHOR E. Bertin (IAP)
float *profit_compresi(profitstruct *profit, float dynparam, float *resi)
double error;
float *resit;
PIXTYPE *objpix, *objweight, *lmodpix,
val,val2,wval, invsig;
/* Compute vector of residuals */
resit = resi;
objpix = profit->objpix;
objweight = profit->objweight;
lmodpix = profit->lmodpix;
error = 0.0;
npix = profit->objnaxisn[0]*profit->objnaxisn[1];
if (dynparam > 0.0)
invsig = (PIXTYPE)(1.0/dynparam);
for (i=npix; i--; lmodpix++)
{
val = *(objpix++);
if ((wval=*(objweight++))>0.0)
{
val2 = (*lmodpix - val)*wval*invsig;
val2 = val2>0.0? logf(1.0+val2) : -logf(1.0-val2);
profit->chi2 = dynparam*dynparam*error;
}
else
{
for (i=npix; i--; lmodpix++)
{
val = *(objpix++);
if ((wval=*(objweight++))>0.0)
{
val2 = (*lmodpix - val)*wval;
*(resit++) = val2;
error += val2*val2;
}
}
profit->chi2 = error;
}
return resi;
}
/****** profit_resample ******************************************************
PROTO int prof_resample(profitstruct *profit, float *inpix,
PIXTYPE *outpix, float factor)
PURPOSE Resample the current full resolution model to image resolution.
INPUT Profile-fitting structure,
pointer to input raster,
pointer to output raster,
multiplicating factor.
OUTPUT RETURN_ERROR if the rasters don't overlap, RETURN_OK otherwise.
VERSION 12/09/2010
int profit_resample(profitstruct *profit, float *inpix, PIXTYPE *outpix,
PIXTYPE *pixout,*pixout0;
float *pixin,*pixin0, *mask,*maskt, *pixinout, *dpixin,*dpixin0,
*dpixout,*dpixout0, *dx,*dy,
xcin,xcout,ycin,ycout, xsin,ysin, xin,yin, x,y, dxm,dym, val,
invpixstep, norm;
int *start,*startt, *nmask,*nmaskt,
i,j,k,n,t,
ixsout,iysout, ixout,iyout, dixout,diyout, nxout,nyout,
iysina, nyin, hmw,hmh, ix,iy, ixin,iyin;
invpixstep = profit->subsamp/profit->pixstep;
xcin = (profit->modnaxisn[0]/2);
xcout = (float)(profit->objnaxisn[0]/2);
if ((dx=(profit->paramlist[PARAM_X])))
xcout += *dx;
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
xsin = xcin - xcout*invpixstep; /* Input start x-coord*/
if ((int)xsin >= profit->modnaxisn[0])
return RETURN_ERROR;
ixsout = 0; /* Int. part of output start x-coord */
if (xsin<0.0)
{
dixout = (int)(1.0-xsin/invpixstep);
/*-- Simply leave here if the images do not overlap in x */
if (dixout >= profit->objnaxisn[0])
return RETURN_ERROR;
ixsout += dixout;
xsin += dixout*invpixstep;
}
nxout = (int)((profit->modnaxisn[0]-xsin)/invpixstep);/* nb of interpolated
input pixels along x */
if (nxout>(ixout=profit->objnaxisn[0]-ixsout))
nxout = ixout;
if (!nxout)
return RETURN_ERROR;
ycin = (profit->modnaxisn[1]/2);
ycout = (float)(profit->objnaxisn[1]/2);
if ((dy=(profit->paramlist[PARAM_Y])))
ycout += *dy;
ysin = ycin - ycout*invpixstep; /* Input start y-coord*/
if ((int)ysin >= profit->modnaxisn[1])
return RETURN_ERROR;
iysout = 0; /* Int. part of output start y-coord */
if (ysin<0.0)
diyout = (int)(1.0-ysin/invpixstep);
/*-- Simply leave here if the images do not overlap in y */
if (diyout >= profit->objnaxisn[1])
return RETURN_ERROR;
iysout += diyout;
ysin += diyout*invpixstep;
nyout = (int)((profit->modnaxisn[1]-ysin)/invpixstep);/* nb of interpolated
input pixels along y */
if (nyout>(iyout=profit->objnaxisn[1]-iysout))
nyout = iyout;
if (!nyout)
return RETURN_ERROR;
/* Set the yrange for the x-resampling with some margin for interpolation */
iysina = (int)ysin; /* Int. part of Input start y-coord with margin */
hmh = INTERPW/2 - 1; /* Interpolant start */
if (iysina<0 || ((iysina -= hmh)< 0))
iysina = 0;
nyin = (int)(ysin+nyout*invpixstep)+INTERPW-hmh;/* Interpolated Input y size*/
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
if (nyin>profit->modnaxisn[1]) /* with margin */
nyin = profit->modnaxisn[1];
/* Express everything relative to the effective Input start (with margin) */
nyin -= iysina;
ysin -= (float)iysina;
/* Allocate interpolant stuff for the x direction */
QMALLOC(mask, float, nxout*INTERPW); /* Interpolation masks */
QMALLOC(nmask, int, nxout); /* Interpolation mask sizes */
QMALLOC(start, int, nxout); /* Int. part of Input conv starts */
/* Compute the local interpolant and data starting points in x */
hmw = INTERPW/2 - 1;
xin = xsin;
maskt = mask;
nmaskt = nmask;
startt = start;
for (j=nxout; j--; xin+=invpixstep)
{
ix = (ixin=(int)xin) - hmw;
dxm = ixin - xin - hmw; /* starting point in the interpolation func */
if (ix < 0)
n = INTERPW+ix;
dxm -= (float)ix;
ix = 0;
else
n = INTERPW;
if (n>(t=profit->modnaxisn[0]-ix))
n=t;
*(startt++) = ix;
*(nmaskt++) = n;
for (x=dxm, i=n; i--; x+=1.0)
norm += (*(maskt++) = INTERPF(x));
norm = norm>0.0? 1.0/norm : 1.0;
maskt -= n;
for (i=n; i--;)
*(maskt++) *= norm;
QCALLOC(pixinout, float, nxout*nyin); /* Intermediary frame-buffer */
/* Make the interpolation in x (this includes transposition) */
pixin0 = inpix + iysina*profit->modnaxisn[0];
dpixout0 = pixinout;
for (k=nyin; k--; pixin0+=profit->modnaxisn[0], dpixout0++)
{
maskt = mask;
nmaskt = nmask;
startt = start;
dpixout = dpixout0;
for (j=nxout; j--; dpixout+=nyin)
pixin = pixin0+*(startt++);
val = 0.0;
for (i=*(nmaskt++); i--;)
val += *(maskt++)**(pixin++);
*dpixout = val;
/* Reallocate interpolant stuff for the y direction */
QREALLOC(mask, float, nyout*INTERPW); /* Interpolation masks */
QREALLOC(nmask, int, nyout); /* Interpolation mask sizes */
QREALLOC(start, int, nyout); /* Int. part of Input conv starts */
/* Compute the local interpolant and data starting points in y */
hmh = INTERPW/2 - 1;
yin = ysin;
maskt = mask;
nmaskt = nmask;
startt = start;
for (j=nyout; j--; yin+=invpixstep)
{
iy = (iyin=(int)yin) - hmh;
dym = iyin - yin - hmh; /* starting point in the interpolation func */
if (iy < 0)
{
n = INTERPW+iy;
dym -= (float)iy;
iy = 0;
}
else
n = INTERPW;
if (n>(t=nyin-iy))
n=t;
*(startt++) = iy;
*(nmaskt++) = n;
for (y=dym, i=n; i--; y+=1.0)
norm += (*(maskt++) = INTERPF(y));
norm = norm>0.0? 1.0/norm : 1.0;
maskt -= n;
for (i=n; i--;)
*(maskt++) *= norm;
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
}
/* Initialize destination buffer to zero */
memset(outpix, 0, (size_t)profit->nobjpix*sizeof(PIXTYPE));
/* Make the interpolation in y and transpose once again */
dpixin0 = pixinout;
pixout0 = outpix+ixsout+iysout*profit->objnaxisn[0];
for (k=nxout; k--; dpixin0+=nyin, pixout0++)
{
maskt = mask;
nmaskt = nmask;
startt = start;
pixout = pixout0;
for (j=nyout; j--; pixout+=profit->objnaxisn[0])
{
dpixin = dpixin0+*(startt++);
val = 0.0;
for (i=*(nmaskt++); i--;)
val += *(maskt++)**(dpixin++);
*pixout = (PIXTYPE)(factor*val);
}
}
/* Free memory */
free(pixinout);
free(mask);
free(nmask);
free(start);
return RETURN_OK;
}
/****** profit_convolve *******************************************************
PROTO void profit_convolve(profitstruct *profit, float *modpix)
PURPOSE Convolve a model image with the local PSF.
INPUT Pointer to the profit structure,
Pointer to the image raster.
OUTPUT -.
NOTES -.
AUTHOR E. Bertin (IAP)
VERSION 15/09/2008
***/
void profit_convolve(profitstruct *profit, float *modpix)
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
{
if (!profit->psfdft)
profit_makedft(profit);
fft_conv(modpix, profit->psfdft, profit->modnaxisn);
return;
}
/****** profit_makedft *******************************************************
PROTO void profit_makedft(profitstruct *profit)
PURPOSE Create the Fourier transform of the descrambled PSF component.
INPUT Pointer to the profit structure.
OUTPUT -.
NOTES -.
AUTHOR E. Bertin (IAP)
VERSION 22/04/2008
***/
void profit_makedft(profitstruct *profit)
{
psfstruct *psf;
float *mask,*maskt, *ppix;
float dx,dy, r,r2,rmin,rmin2,rmax,rmax2,rsig,invrsig2;
int width,height,npix,offset, psfwidth,psfheight,psfnpix,
cpwidth, cpheight,hcpwidth,hcpheight, i,j,x,y;
if (!(psf=profit->psf))
return;
psfwidth = profit->modnaxisn[0];
psfheight = profit->modnaxisn[1];
psfnpix = psfwidth*psfheight;
width = profit->modnaxisn[0];
height = profit->modnaxisn[1];
npix = width*height;
QCALLOC(mask, float, npix);
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
cpwidth = (width>psfwidth)?psfwidth:width;
hcpwidth = cpwidth>>1;
cpwidth = hcpwidth<<1;
offset = width - cpwidth;
cpheight = (height>psfheight)?psfheight:height;
hcpheight = cpheight>>1;
cpheight = hcpheight<<1;
/* Frame and descramble the PSF data */
ppix = profit->psfpix + (psfheight/2)*psfwidth + psfwidth/2;
maskt = mask;
for (j=hcpheight; j--; ppix+=psfwidth)
{
for (i=hcpwidth; i--;)
*(maskt++) = *(ppix++);
ppix -= cpwidth;
maskt += offset;
for (i=hcpwidth; i--;)
*(maskt++) = *(ppix++);
}
ppix = profit->psfpix + ((psfheight/2)-hcpheight)*psfwidth + psfwidth/2;
maskt += width*(height-cpheight);
for (j=hcpheight; j--; ppix+=psfwidth)
{
for (i=hcpwidth; i--;)
*(maskt++) = *(ppix++);
ppix -= cpwidth;
maskt += offset;
for (i=hcpwidth; i--;)
*(maskt++) = *(ppix++);
}
/* Truncate to a disk that has diameter = (box width) */
rmax = cpwidth - 1.0 - hcpwidth;
if (rmax > (r=hcpwidth))
rmax = r;
if (rmax > (r=cpheight-1.0-hcpheight))
rmax = r;
if (rmax > (r=hcpheight))
rmax = r;
if (rmax<1.0)
rmax = 1.0;
rmax2 = rmax*rmax;
rsig = psf->fwhm/profit->pixstep;
invrsig2 = 1/(2*rsig*rsig);
rmin = rmax - (3*rsig); /* 3 sigma annulus (almost no aliasing) */
rmin2 = rmin*rmin;
maskt = mask;
dy = 0.0;
for (y=hcpheight; y--; dy+=1.0)
{
dx = 0.0;
for (x=hcpwidth; x--; dx+=1.0, maskt++)
if ((r2=dx*dx+dy*dy)>rmin2)
*maskt *= (r2>rmax2)?0.0:expf((2*rmin*sqrtf(r2)-r2-rmin2)*invrsig2);
dx = -hcpwidth;
maskt += offset;
for (x=hcpwidth; x--; dx+=1.0, maskt++)
if ((r2=dx*dx+dy*dy)>rmin2)
*maskt *= (r2>rmax2)?0.0:expf((2*rmin*sqrtf(r2)-r2-rmin2)*invrsig2);
}
dy = -hcpheight;
maskt += width*(height-cpheight);
for (y=hcpheight; y--; dy+=1.0)
{
dx = 0.0;
for (x=hcpwidth; x--; dx+=1.0, maskt++)
if ((r2=dx*dx+dy*dy)>rmin2)
*maskt *= (r2>rmax2)?0.0:expf((2*rmin*sqrtf(r2)-r2-rmin2)*invrsig2);
dx = -hcpwidth;
maskt += offset;
for (x=hcpwidth; x--; dx+=1.0, maskt++)
if ((r2=dx*dx+dy*dy)>rmin2)
*maskt *= (r2>rmax2)?0.0:expf((2*rmin*sqrtf(r2)-r2-rmin2)*invrsig2);
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
}
/* Finally move to Fourier space */
profit->psfdft = fft_rtf(mask, profit->modnaxisn);
free(mask);
return;
}
/****** profit_copyobjpix *****************************************************
PROTO int profit_copyobjpix(profitstruct *profit, picstruct *field,
picstruct *wfield)
PURPOSE Copy a piece of the input field image to a profit structure.
INPUT Pointer to the profit structure,
Pointer to the field structure,
Pointer to the field weight structure.
OUTPUT The number of valid pixels copied.
NOTES Global preferences are used.
AUTHOR E. Bertin (IAP)
Emmanuel Bertin
committed
VERSION 01/12/2009
***/
int profit_copyobjpix(profitstruct *profit, picstruct *field,
picstruct *wfield)
{
Emmanuel Bertin
committed
float dx, dy2, dr2, rad2;
PIXTYPE *pixin,*spixin, *wpixin,*swpixin, *pixout,*wpixout,
backnoise2, invgain, satlevel, wthresh, pix,spix, wpix,swpix;
int i,x,y, xmin,xmax,ymin,ymax, w,h,dw, npix, off, gainflag,
Emmanuel Bertin
committed
badflag, sflag, sx,sy,sn,sw, ix,iy;
/* First put the image background to -BIG */
pixout = profit->objpix;
wpixout = profit->objweight;
Emmanuel Bertin
committed
for (i=profit->objnaxisn[0]*profit->objnaxisn[1]; i--;)
{
*(pixout++) = -BIG;
*(wpixout++) = 0.0;
}