Changeset 30031 for trunk/psModules/src/objects/pmPSFtryMakePSF.c
- Timestamp:
- Dec 14, 2010, 9:29:23 AM (15 years ago)
- Location:
- trunk/psModules/src/objects
- Files:
-
- 2 edited
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. (modified) (1 prop)
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pmPSFtryMakePSF.c (modified) (9 diffs)
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trunk/psModules/src/objects
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Property svn:mergeinfo
set to
/branches/eam_branches/ipp-20101103/psModules/src/objects merged eligible /branches/eam_branches/ipp-20101205/psModules/src/objects merged eligible
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Property svn:mergeinfo
set to
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trunk/psModules/src/objects/pmPSFtryMakePSF.c
r29004 r30031 50 50 Note: some of the array entries may be NULL (failed fits); ignore them. 51 51 *****************************************************************************/ 52 bool pmPSFtryMakePSF ( pmPSFtry *psfTry)52 bool pmPSFtryMakePSF (bool *goodFit, pmPSFtry *psfTry) 53 53 { 54 54 PS_ASSERT_PTR_NON_NULL(psfTry, false); … … 74 74 75 75 // fit the shape parameters (SXX, SYY, SXY) as a function of position 76 if (!pmPSFFitShapeParams ( psf, psfTry->sources, x, y, srcMask)) {76 if (!pmPSFFitShapeParams (goodFit, psf, psfTry->sources, x, y, srcMask)) { 77 77 psFree(x); 78 78 psFree(y); 79 79 return false; 80 } 81 if (!goodFit) { 82 psWarning ("poor fit to PSF shape parameters for trend order %d, %d, skipping\n", psf->trendNx, psf->trendNy); 83 psFree(x); 84 psFree(y); 85 return true; 80 86 } 81 87 … … 115 121 // the mask is carried from previous steps and updated with this operation 116 122 // the weight is either the flux error or NULL, depending on 'psf->poissonErrorParams' 117 if (!pmTrend2DFit ( trend, srcMask, 0xff, x, y, z, NULL)) {123 if (!pmTrend2DFit (goodFit, trend, srcMask, 0xff, x, y, z, NULL)) { 118 124 psError(PS_ERR_UNKNOWN, false, "failed to build psf model for parameter %d", i); 119 125 psFree(x); … … 122 128 return false; 123 129 } 130 if (!goodFit) { 131 // if we do not get a good fit (but do not actually hit an error), 132 // tell the calling program to try something else 133 psWarning ("poor fit to PSF parameter %d for trend order %d, %d, skipping\n", i, psf->trendNx, psf->trendNy); 134 psFree(x); 135 psFree(y); 136 psFree(z); 137 return true; 138 } 124 139 if (trend->mode == PM_TREND_MAP) { 125 140 // p_psImagePrint (2, trend->map->map, "param N Before"); // XXX TEST: … … 163 178 164 179 // fit the shape parameters using the supplied order (pmPSF->trendNx,trendNy) 165 bool pmPSFFitShapeParams ( pmPSF *psf, psArray *sources, psVector *x, psVector *y, psVector *srcMask) {180 bool pmPSFFitShapeParams (bool *goodFit, pmPSF *psf, psArray *sources, psVector *x, psVector *y, psVector *srcMask) { 166 181 167 182 // we are doing a robust fit. after each pass, we drop points which are more deviant than … … 219 234 trend = psf->params->data[PM_PAR_E0]; 220 235 trend->stats->clipIter = 1; // in allocation, this value is set to the value of nIter, but we should use 1 here 221 status &= pmTrend2DFit (trend, srcMask, 0xff, x, y, e0, NULL); 236 status &= pmTrend2DFit (goodFit, trend, srcMask, 0xff, x, y, e0, NULL); 237 if (!goodFit) { 238 psFree (e0); 239 psFree (e1); 240 psFree (e2); 241 return true; 242 } 222 243 mean = psStatsGetValue (trend->stats, meanOption); 223 244 stdev = psStatsGetValue (trend->stats, stdevOption); … … 228 249 trend = psf->params->data[PM_PAR_E1]; 229 250 trend->stats->clipIter = 1; // in allocation, this value is set to the value of nIter, but we should use 1 here 230 status &= pmTrend2DFit (trend, srcMask, 0xff, x, y, e1, NULL); 251 status &= pmTrend2DFit (goodFit, trend, srcMask, 0xff, x, y, e1, NULL); 252 if (!goodFit) { 253 psFree (e0); 254 psFree (e1); 255 psFree (e2); 256 return true; 257 } 231 258 mean = psStatsGetValue (trend->stats, meanOption); 232 259 stdev = psStatsGetValue (trend->stats, stdevOption); … … 237 264 trend = psf->params->data[PM_PAR_E2]; 238 265 trend->stats->clipIter = 1; // in allocation, this value is set to the value of nIter, but we should use 1 here 239 status &= pmTrend2DFit (trend, srcMask, 0xff, x, y, e2, NULL); 266 status &= pmTrend2DFit (goodFit, trend, srcMask, 0xff, x, y, e2, NULL); 267 if (!goodFit) { 268 psFree (e0); 269 psFree (e1); 270 psFree (e2); 271 return true; 272 } 240 273 mean = psStatsGetValue (trend->stats, meanOption); 241 274 stdev = psStatsGetValue (trend->stats, stdevOption); … … 246 279 if (!status) { 247 280 psError (PS_ERR_UNKNOWN, true, "failed to fit PSF shape params"); 281 psFree (e0); 282 psFree (e1); 283 psFree (e2); 248 284 return false; 249 285 }
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