Changeset 15844 for trunk/ppStack/src/ppStackReadout.c
- Timestamp:
- Dec 14, 2007, 3:32:16 PM (18 years ago)
- File:
-
- 1 edited
-
trunk/ppStack/src/ppStackReadout.c (modified) (4 diffs)
Legend:
- Unmodified
- Added
- Removed
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trunk/ppStack/src/ppStackReadout.c
r15457 r15844 28 28 float threshold = psMetadataLookupF32(NULL, config->arguments, "THRESHOLD.MASK"); // Threshold for mask deconvolution 29 29 bool photometry = psMetadataLookupBool(&mdok, config->arguments, "PHOTOMETRY"); // Perform photometry? 30 int psfInstances = psMetadataLookupS32(&mdok, config->arguments, "PSF.INSTANCES"); // Number of instances for PSF 31 float psfRadius = psMetadataLookupF32(NULL, config->arguments, "PSF.RADIUS"); // Radius for PSF 32 const char *psfModel = psMetadataLookupStr(NULL, config->arguments, "PSF.MODE"); // Model for PSF 33 int psfOrder = psMetadataLookupS32(&mdok, config->arguments, "PSF.ORDER"); // Spatial order for PSF 30 34 31 35 // Get the output target … … 43 47 "^PPSTACK.INPUT$"); // Iterator over input files 44 48 psMetadataItem *fileItem; // Item from iteration 49 int fileNum = 0; // Number of file 50 psList *psfList = psListAlloc(NULL); // List of PSFs for PSF envelope 51 pmPSF *outPSF = NULL; // Ouptut PSF 52 int numCols = 0, numRows = 0; // Size of image 53 while ((fileItem = psMetadataGetAndIncrement(fileIter))) { 54 assert(fileItem->type == PS_DATA_UNKNOWN); 55 pmFPAfile *inputFile = fileItem->data.V; // An input file 56 pmReadout *ro = pmFPAviewThisReadout(view, inputFile->fpa); // Corresponding readout 57 pmCell *cell = ro->parent; // The cell 58 pmChip *chip = cell->parent; // The chip: holds the PSF 59 60 bool mdok; // Status of MD lookup 61 pmPSF *psf = psMetadataLookupPtr(&mdok, chip->analysis, "PSPHOT.PSF"); 62 if (mdok && psf) { 63 psListAdd(psfList, PS_LIST_TAIL, psf); 64 if (numCols == 0 && numRows == 0) { 65 numCols = ro->image->numCols; 66 numRows = ro->image->numRows; 67 } 68 } 69 } 70 71 bool convolve = false; // Convolve the input images? 72 if (psfList->n > 0) { 73 psArray *psfArray = psListToArray(psfList); // Array of PSFs 74 outPSF = pmPSFEnvelope(numCols, numRows, psfArray, psfInstances, psfRadius, psfModel, 75 psfOrder, psfOrder); 76 psFree(psfArray); 77 if (!outPSF) { 78 psError(PS_ERR_UNKNOWN, false, "Unable to determine output PSF."); 79 // XXX Free stuff 80 return false; 81 } 82 convolve = true; 83 PS_ASSERT_PTR_NON_NULL(sources, false); 84 } 85 86 // Iterate through again to get the convolved images (or not) 87 45 88 psStats *stats = psStatsAlloc(PS_STAT_ROBUST_MEDIAN); // Statistics 46 89 psRandom *rng = psRandomAlloc(0, PS_RANDOM_TAUS); // Random number generator 47 int fileNum = 0; // Number of file48 90 float totExposure = 0.0; // Total exposure time 49 91 psList *fpaList = psListAlloc(NULL); // List of input FPAs, for concept averaging 50 92 psList *cellList = psListAlloc(NULL); // List of input cells, for concept averaging 93 94 psMetadataIteratorSet(fileIter, PS_LIST_HEAD); 95 fileNum = 0; 51 96 while ((fileItem = psMetadataGetAndIncrement(fileIter))) { 52 97 assert(fileItem->type == PS_DATA_UNKNOWN); … … 85 130 86 131 // Generate convolved version of input 87 pmReadout *convolved = pmReadoutAlloc(NULL); // Convolved version of input readout 88 #ifndef NO_CONVOLUTION 89 if (!ppStackMatch(convolved, ro, sources, config)) { 90 psWarning("Unable to match image %d --- ignoring.", fileNum); 91 psErrorClear(); 92 psFree(convolved); 93 // XXX Free the bad image so it's not taking up good memory! 94 continue; 95 } 132 pmReadout *convolved; 133 if (convolve) { 134 convolved = pmReadoutAlloc(NULL); // Convolved version of input readout 135 // Background subtraction, scaling and normalisation is performed automatically by the image 136 // matching 137 if (!ppStackMatch(convolved, ro, sources, outPSF, config)) { 138 psWarning("Unable to match image %d --- ignoring.", fileNum); 139 psErrorClear(); 140 psFree(convolved); 141 // XXX Free the bad image so it's not taking up good memory! 142 continue; 143 } 96 144 97 145 #ifdef CONVOLUTION_FILES 98 if (convolved->image) {99 psString name = NULL; // Name of image100 psStringAppend(&name, "convolved%03d_image.fits", fileNum);101 psFits *fits = psFitsOpen(name, "w");102 psFree(name);103 psFitsWriteImage(fits, NULL, convolved->image, 0, NULL);104 psFitsClose(fits);105 }106 if (convolved->mask) {107 psString name = NULL; // Name of image108 psStringAppend(&name, "convolved%03d_mask.fits", fileNum);109 psFits *fits = psFitsOpen(name, "w");110 psFree(name);111 psFitsWriteImage(fits, NULL, convolved->mask, 0, NULL);112 psFitsClose(fits);113 }114 if (convolved->weight) {115 psString name = NULL; // Name of image116 psStringAppend(&name, "convolved%03d_weight.fits", fileNum);117 psFits *fits = psFitsOpen(name, "w");118 psFree(name);119 psFitsWriteImage(fits, NULL, convolved->weight, 0, NULL);120 psFitsClose(fits);121 }146 if (convolved->image) { 147 psString name = NULL; // Name of image 148 psStringAppend(&name, "convolved%03d_image.fits", fileNum); 149 psFits *fits = psFitsOpen(name, "w"); 150 psFree(name); 151 psFitsWriteImage(fits, NULL, convolved->image, 0, NULL); 152 psFitsClose(fits); 153 } 154 if (convolved->mask) { 155 psString name = NULL; // Name of image 156 psStringAppend(&name, "convolved%03d_mask.fits", fileNum); 157 psFits *fits = psFitsOpen(name, "w"); 158 psFree(name); 159 psFitsWriteImage(fits, NULL, convolved->mask, 0, NULL); 160 psFitsClose(fits); 161 } 162 if (convolved->weight) { 163 psString name = NULL; // Name of image 164 psStringAppend(&name, "convolved%03d_weight.fits", fileNum); 165 psFits *fits = psFitsOpen(name, "w"); 166 psFree(name); 167 psFitsWriteImage(fits, NULL, convolved->weight, 0, NULL); 168 psFitsClose(fits); 169 } 122 170 #endif // CONVOLUTION_FILES 123 171 124 #else 125 convolved = psMemIncrRefCounter(ro); 126 sources = NULL; 127 #endif // NO_CONVOLVUTION 128 129 130 #if 0 131 // Background subtraction, scaling and normalisation is performed automatically by the image matching 132 133 // Brain-dead background subtraction 134 if (!psImageBackground(stats, ro->image, ro->mask, maskBad, rng)) { 135 psError(PS_ERR_UNKNOWN, false, "Unable to get image background on image %ld", stack->n); 136 psFree(stats); 137 psFree(rng); 138 psFree(fileIter); 139 psFree(fpaList); 140 psFree(cellList); 141 psFree(stack); 142 psFree(outRO); 143 psFree(convolved); 144 return false; 145 } 146 psTrace("ppStack", 3, "Background for image %d is %f\n", fileNum, stats->robustMedian); 147 (void)psBinaryOp(ro->image, ro->image, "-", psScalarAlloc(stats->robustMedian, PS_TYPE_F32)); 148 149 // Apply scaling 150 (void)psBinaryOp(ro->image, ro->image, "*", psScalarAlloc(1.0 / scale, PS_TYPE_F32)); 151 152 // Normalise each input by the exposure time 153 float exposure = psMetadataLookupF32(NULL, ro->parent->concepts, "CELL.EXPOSURE"); // Exposure time 154 if (!isfinite(exposure)) { 155 psError(PS_ERR_BAD_PARAMETER_VALUE, true, 156 "CELL.EXPOSURE is not set for input file %ld", stack->n); 157 psFree(stats); 158 psFree(rng); 159 psFree(fileIter); 160 psFree(fpaList); 161 psFree(cellList); 162 psFree(outRO); 163 psFree(convolved); 164 psFree(stack); 165 return false; 166 } 167 168 (void)psBinaryOp(ro->image, ro->image, "/", psScalarAlloc(exposure, PS_TYPE_F32)); 169 if (ro->weight) { 170 (void)psBinaryOp(ro->weight, ro->weight, "/", psScalarAlloc(exposure, PS_TYPE_F32)); 171 } 172 #endif 172 } else { 173 // No convolution --- just use the unconvolved images as the "convolved" images, with some tweaks 174 convolved = psMemIncrRefCounter(ro); 175 sources = NULL; 176 177 // Brain-dead background subtraction 178 if (!psImageBackground(stats, NULL, ro->image, ro->mask, maskBad, rng)) { 179 psError(PS_ERR_UNKNOWN, false, "Unable to get image background on image %ld", stack->n); 180 psFree(stats); 181 psFree(rng); 182 psFree(fileIter); 183 psFree(fpaList); 184 psFree(cellList); 185 psFree(stack); 186 psFree(outRO); 187 psFree(convolved); 188 return false; 189 } 190 psTrace("ppStack", 3, "Background for image %d is %f\n", fileNum, stats->robustMedian); 191 (void)psBinaryOp(ro->image, ro->image, "-", psScalarAlloc(stats->robustMedian, PS_TYPE_F32)); 192 193 // Apply scaling 194 (void)psBinaryOp(ro->image, ro->image, "*", psScalarAlloc(1.0 / scale, PS_TYPE_F32)); 195 196 // Normalise each input by the exposure time 197 float exposure = psMetadataLookupF32(NULL, ro->parent->concepts, "CELL.EXPOSURE");// Exposure time 198 if (!isfinite(exposure)) { 199 psError(PS_ERR_BAD_PARAMETER_VALUE, true, 200 "CELL.EXPOSURE is not set for input file %ld", stack->n); 201 psFree(stats); 202 psFree(rng); 203 psFree(fileIter); 204 psFree(fpaList); 205 psFree(cellList); 206 psFree(outRO); 207 psFree(convolved); 208 psFree(stack); 209 return false; 210 } 211 212 (void)psBinaryOp(ro->image, ro->image, "/", psScalarAlloc(exposure, PS_TYPE_F32)); 213 if (ro->weight) { 214 (void)psBinaryOp(ro->weight, ro->weight, "/", psScalarAlloc(exposure, PS_TYPE_F32)); 215 } 216 } 173 217 174 218 if (fileNum == 0) { … … 330 374 } 331 375 332 #if 0 333 // Restore image to counts using the total exposure time 334 (void)psBinaryOp(outRO->image, outRO->image, "*", psScalarAlloc(totExposure, PS_TYPE_F32)); 335 if (outRO->weight) { 336 (void)psBinaryOp(outRO->weight, outRO->weight, "*", psScalarAlloc(totExposure, PS_TYPE_F32)); 337 } 338 #endif 376 if (!convolve) { 377 // Restore image to counts using the total exposure time 378 (void)psBinaryOp(outRO->image, outRO->image, "*", psScalarAlloc(totExposure, PS_TYPE_F32)); 379 if (outRO->weight) { 380 (void)psBinaryOp(outRO->weight, outRO->weight, "*", psScalarAlloc(totExposure, PS_TYPE_F32)); 381 } 382 } 383 339 384 psMetadataAddF32(outCell->concepts, PS_LIST_TAIL, "CELL.EXPOSURE", PS_META_REPLACE, 340 385 "Summed exposure time (sec)", totExposure);
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