Index: branches/pap/archive/variance_covariance/simulate.c
===================================================================
--- branches/pap/archive/variance_covariance/simulate.c	(revision 27791)
+++ branches/pap/archive/variance_covariance/simulate.c	(revision 27791)
@@ -0,0 +1,551 @@
+#include <stdio.h>
+#include <pslib.h>
+#include <psmodules.h>
+
+#define NUM 8
+#define DET_SIZE 2000
+#define SKY_SIZE 1000
+#define SIZE 1024
+#define OUTPUT_ROOT "test"
+#define SCALE 0.654321
+#define ROT M_PI_2
+#define INTERPOLATION PS_INTERPOLATE_LANCZOS3
+#define OFFSET 16
+#define SMOOTH_SIGMA 6.54321
+#define SMOOTH_N_SIGMA 2.0
+#define DUAL_KERNEL "sub.subkernel"
+
+static const float variances[] = { 3.0, 10.0, 30.0, 100.0, 300.0, 1000.0, 3000.0, 10000.0 };
+
+static const char *rootNames[] = { "o5298g0209o.fake.warp", "o5298g0210o.fake.warp", "o5298g0211o.fake.warp",
+                                   "o5298g0212o.fake.warp", "o5298g0213o.fake.warp", "o5298g0214o.fake.warp",
+                                   "o5298g0215o.fake.warp", "o5298g0216o.fake.warp" };
+static const char *kernels[] = { "test.5.kernel", "test.11.kernel", "test.17.kernel", "test.23.kernel",
+                                 "test.29.kernel", "test.35.kernel", "test.41.kernel", "test.47.kernel" };
+
+
+void writeImage(const psImage *image, const char *suffix)
+{
+    psString name = NULL;
+    psStringAppend(&name, "%s.%s", OUTPUT_ROOT, suffix);
+    psFits *fits = psFitsOpen(name, "w");
+    psFree(name);
+    psFitsWriteImage(fits, NULL, image, 0, NULL);
+    psFitsClose(fits);
+}
+
+#if 0
+psImage *readImage(const char *name)
+{
+    psFits *fits = psFitsOpen(name, "r");
+    psImage *image = psFitsReadImage(fits, psRegionSet(0,DET_SIZE,0,DET_SIZE), 0);
+    psFitsClose(fits);
+    return image;
+}
+
+psImage *readMask(const char *name)
+{
+    psFits *fits = psFitsOpen(name, "r");
+    psImage *image = psFitsReadImage(fits, psRegionSet(0,DET_SIZE,0,DET_SIZE), 0);
+    if (image->type.type != PS_TYPE_IMAGE_MASK) {
+        psImage *temp = psImageCopy(NULL, image, PS_TYPE_IMAGE_MASK);
+        psFree(image);
+        image = temp;
+    }
+    psFitsClose(fits);
+    return image;
+}
+
+psImage *readVariance(psKernel **covar, const char *name)
+{
+    psFits *fits = psFitsOpen(name, "r");
+    psImage *variance = psFitsReadImage(fits, psRegionSet(0,DET_SIZE,0,DET_SIZE), 0);
+    if (psFitsMoveExtNum(fits, 1, true)) {
+        psImage *covariance = psFitsReadImage(fits, psRegionSet(0,0,0,0), 0);
+        *covar = psKernelAllocFromImage(covariance, covariance->numCols / 2, covariance->numRows / 2);
+        psFree(covariance);
+    } else {
+        psErrorClear();
+    }
+    psFitsClose(fits);
+    return variance;
+}
+#endif
+
+float meanVar(const psImage *var, const psImage *mask, const psKernel *covar)
+{
+    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
+    psStats *stats = psStatsAlloc(PS_STAT_SAMPLE_MEDIAN);
+    psImageBackground(stats, NULL, var, mask, 0xFF, rng);
+    float variance = stats->sampleMedian * psImageCovarianceFactor(covar);
+    psFree(stats);
+    psFree(rng);
+    return variance;
+}
+
+
+float signoise(const psImage *image, const psImage *mask, const psImage *var, const psKernel *covar)
+{
+    float varFactor = psImageCovarianceFactor(covar);
+    psImage *sn = psImageAlloc(image->numCols, image->numRows, PS_TYPE_F32);
+    for (int y = 0; y < image->numRows; y++) {
+        for (int x = 0; x < image->numCols; x++) {
+            sn->data.F32[y][x] = image->data.F32[y][x] / sqrtf(var->data.F32[y][x] * varFactor);
+        }
+    }
+    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
+    psStats *stats = psStatsAlloc(PS_STAT_ROBUST_STDEV);
+    psImageBackground(stats, NULL, sn, mask, 0xFF, rng);
+    float noise = stats->robustStdev;
+    psFree(stats);
+    psFree(rng);
+    psFree(sn);
+    return noise;
+}
+
+void phot(psImage *image, psImage *mask, psImage *variance, psKernel *covar)
+{
+    psImage *smoothImage = psImageCopy(NULL, image, PS_TYPE_F32);
+    psImageSmoothMask(smoothImage, smoothImage, mask, 0xFF, SMOOTH_SIGMA, SMOOTH_N_SIGMA, 0.1);
+    psImage *smoothVariance = psImageCopy(NULL, variance, PS_TYPE_F32);
+    psImageSmoothMask(smoothVariance, smoothVariance, mask, 0xFF,
+                      SMOOTH_SIGMA * M_SQRT1_2, SMOOTH_N_SIGMA, 0.1);
+    int extent = SMOOTH_SIGMA * SMOOTH_N_SIGMA + 0.5;
+    psImage *smoothMask = psImageConvolveMask(NULL, mask, 0xFF, 0xFF, -extent, extent, -extent, extent);
+
+    psKernel *kernel = psImageSmoothKernel(SMOOTH_SIGMA, SMOOTH_N_SIGMA); // Kernel used for smoothing
+    psKernel *smoothCovar = psImageCovarianceCalculate(kernel, covar);
+    psFree(kernel);
+    psImageCovarianceTransfer(smoothVariance, smoothCovar);
+
+    fprintf(stderr, "Phot: S/N: %f Covar: %f Var: %f\n",
+            signoise(smoothImage, smoothMask, smoothVariance, smoothCovar),
+            psImageCovarianceFactor(smoothCovar),
+            meanVar(smoothVariance, smoothMask, smoothCovar));
+
+    psFree(smoothImage);
+    psFree(smoothMask);
+    psFree(smoothVariance);
+    psFree(smoothCovar);
+}
+
+void stack(psImage **stackImage, psImage **stackMask, psImage **stackVariance, psKernel **stackCovar,
+           psArray *readouts)
+{
+    int num = readouts->n;
+    psArray *covars = psArrayAlloc(num);
+    psVector *weights = psVectorAlloc(num, PS_TYPE_F32);
+    for (int i = 0; i < num; i++) {
+        pmReadout *ro = readouts->data[i];
+        weights->data.F32[i] = 1.0 / meanVar(ro->variance, ro->mask, ro->covariance);
+        covars->data[i] = psMemIncrRefCounter(ro->covariance);
+    }
+
+    *stackImage = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+    *stackMask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
+    *stackVariance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+    for (int y = 0; y < SKY_SIZE; y++) {
+        for (int x = 0; x < SKY_SIZE; x++) {
+            double sumValueWeight = 0.0;
+            double sumWeight = 0.0;
+            double sumVarianceWeight = 0.0;
+            for (int i = 0; i < readouts->n; i++) {
+                pmReadout *ro = readouts->data[i];
+                sumValueWeight += ro->image->data.F32[y][x] * weights->data.F32[i];
+                sumWeight += weights->data.F32[i];
+                sumVarianceWeight += ro->variance->data.F32[y][x] * PS_SQR(weights->data.F32[i]);
+            }
+            (*stackImage)->data.F32[y][x] = sumValueWeight / sumWeight;
+            (*stackVariance)->data.F32[y][x] = sumVarianceWeight / PS_SQR(sumWeight);
+            (*stackMask)->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = (isfinite((*stackImage)->data.F32[y][x]) && isfinite((*stackVariance)->data.F32[y][x])) ? 0x00 : 0xFF;
+        }
+    }
+
+    *stackCovar = psImageCovarianceAverageWeighted(covars, weights);
+    psFree(weights);
+    psFree(covars);
+}
+
+void diff(psImage **diffImage, psImage **diffMask, psImage **diffVariance, psKernel **diffCovar,
+          const psImage *image1, const psImage *mask1, const psImage *variance1, const psKernel *covar1,
+          const psImage *image2, const psImage *mask2, const psImage *variance2, const psKernel *covar2)
+{
+    *diffImage = (psImage*)psBinaryOp(NULL, (psPtr)image1, "-", (psPtr)image2);
+    *diffMask = (psImage*)psBinaryOp(NULL, (psPtr)mask1, "|", (psPtr)mask2);
+    *diffVariance = (psImage*)psBinaryOp(NULL, (psPtr)variance1, "+", (psPtr)variance2);
+    psArray *covars = psArrayAlloc(2);
+    covars->data[0] = psMemIncrRefCounter((psPtr)covar1);
+    covars->data[1] = psMemIncrRefCounter((psPtr)covar2);
+    psVector *weights = psVectorAlloc(2, PS_TYPE_F32);
+    weights->data.F32[0] = meanVar(variance1, mask1, covar1);
+    weights->data.F32[1] = meanVar(variance2, mask2, covar2);
+    *diffCovar = psImageCovarianceAverageWeighted(covars, weights);
+    psFree(covars);
+    psFree(weights);
+}
+
+
+void warp(psImage **outImage, psImage **outMask, psImage **outVariance, psKernel **outCovar,
+          const psImage *inImage, const psImage *inMask, const psImage *inVariance, const psKernel *inCovar)
+{
+    psImageInterpolation *interp = psImageInterpolationAlloc(INTERPOLATION, inImage,
+                                                             inVariance, inMask, 0xFF,
+                                                             NAN, NAN, 0xF0, 0x0F, 0.1,
+                                                             1000);
+    *outImage = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+    *outMask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
+    *outVariance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+
+    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
+    float xOffset = psRandomUniform(rng) * 2 * OFFSET - OFFSET;
+    float yOffset = psRandomUniform(rng) * 2 * OFFSET - OFFSET;
+    for (int y = 0; y < SKY_SIZE; y++) {
+        for (int x = 0; x < SKY_SIZE; x++) {
+            float xIn = SCALE * ((x - SKY_SIZE/2) * cos(ROT) + (y - SKY_SIZE/2) * sin(ROT)) + DET_SIZE / 2 + xOffset;
+            float yIn = SCALE * ((x - SKY_SIZE/2) * -sin(ROT) + (y - SKY_SIZE/2) * cos(ROT)) + DET_SIZE / 2 + yOffset;
+
+            double img, var;
+            psImageMaskType msk;
+            psImageInterpolate(&img, &var, &msk, xIn, yIn, interp);
+
+            (*outImage)->data.F32[y][x] = img;
+            (*outVariance)->data.F32[y][x] = var;
+            (*outMask)->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = isfinite(img) || isfinite(var) ? msk : 0xFF;
+        }
+    }
+
+    psArray *covariances = psArrayAlloc(1000);
+    for (int i = 0; i < covariances->n; i++) {
+        psKernel *kernel = psImageInterpolationKernel(psRandomUniform(rng), psRandomUniform(rng),
+                                                      INTERPOLATION);
+        covariances->data[i] = psImageCovarianceCalculate(kernel, inCovar);
+        psFree(kernel);
+    }
+    psFree(rng);
+    psKernel *avgCovar = psImageCovarianceAverage(covariances);
+    psFree(covariances);
+    *outCovar = psImageCovarianceScale(avgCovar, SCALE);
+    psFree(avgCovar);
+}
+
+int main(int argc, char *argv[])
+{
+    psArray *readouts = psArrayAlloc(NUM);
+    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
+    for (int i = 0; i < NUM; i++) {
+        psImage *inImage = psImageAlloc(DET_SIZE, DET_SIZE, PS_TYPE_F32);
+        psImage *inMask = psImageAlloc(DET_SIZE, DET_SIZE, PS_TYPE_IMAGE_MASK);
+        psImage *inVariance = psImageAlloc(DET_SIZE, DET_SIZE, PS_TYPE_F32);
+        psKernel *inCovar = NULL;
+
+        float noise = sqrtf(variances[i]);
+        for (int y = 0; y < DET_SIZE; y++) {
+            for (int x = 0; x < DET_SIZE; x++) {
+                inImage->data.F32[y][x] = psRandomGaussian(rng) * noise;
+                inMask->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = 0;
+                inVariance->data.F32[y][x] = variances[i];
+            }
+        }
+
+#if 0
+        psString imageName = NULL, maskName = NULL, varName = NULL;
+        psStringAppend(&imageName, "%s.fits", rootNames[i]);
+        psStringAppend(&maskName, "%s.mask.fits", rootNames[i]);
+        psStringAppend(&varName, "%s.wt.fits", rootNames[i]);
+        inImage = readImage(imageName);
+        inMask = readMask(maskName);
+        inVariance = readVariance(&inCovar, varName);
+        for (int y = 0; y < DET_SIZE; y++) {
+            for (int x = 0; x < DET_SIZE; x++) {
+                if (!isfinite(inImage->data.F32[y][x]) || !isfinite(inVariance->data.F32[y][x])) {
+                    inMask->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = 0xFF;
+                }
+            }
+        }
+#endif
+
+        psImageCovarianceTransfer(inVariance, inCovar);
+
+        fprintf(stderr, "Input image %d: S/N: %f Covar: %f Var: %f\n",
+                i,
+                signoise(inImage, inMask, inVariance, inCovar),
+                psImageCovarianceFactor(inCovar),
+                meanVar(inVariance, inMask, inCovar));
+
+        psImage *warpImage = NULL, *warpMask = NULL, *warpVariance = NULL;
+        psKernel *warpCovar = NULL;
+        warp(&warpImage, &warpMask, &warpVariance, &warpCovar, inImage, inMask, inVariance, inCovar);
+        psFree(inImage);
+        psFree(inMask);
+        psFree(inVariance);
+        psFree(inCovar);
+
+        psImageCovarianceTransfer(warpVariance, warpCovar);
+
+        fprintf(stderr, "Warp image %d: S/N: %f Covar: %f Var: %f\n",
+                i,
+                signoise(warpImage, warpMask, warpVariance, warpCovar),
+                psImageCovarianceFactor(warpCovar),
+                meanVar(warpVariance, warpMask, warpCovar));
+
+        phot(warpImage, warpMask, warpVariance, warpCovar);
+
+        pmReadout *ro = pmReadoutAlloc(NULL);
+        ro->image = warpImage;
+        ro->mask = warpMask;
+        ro->variance = warpVariance;
+        ro->covariance = warpCovar;
+
+        psFits *fits = psFitsOpen(kernels[i], "r");
+        pmReadoutReadSubtractionKernels(ro, fits);
+        pmSubtractionKernels *kernels = psMetadataLookupPtr(NULL, ro->analysis, PM_SUBTRACTION_ANALYSIS_KERNEL);
+        kernels->xMax = SKY_SIZE;
+        kernels->yMax = SKY_SIZE;
+        psFitsClose(fits);
+
+        pmReadout *conv = pmReadoutAlloc(NULL);
+        conv->image = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        conv->mask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
+        conv->variance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        if (!pmSubtractionMatchPrecalc(NULL, conv, NULL, ro, ro->analysis, 32, 0.0, 0.001,
+                                       0xFF, 0xF0, 0x0F, 0.1, 1.0)) {
+            psErrorStackPrint(stderr, "Error:");
+            exit(1);
+        }
+        psFree(ro);
+
+        psImageCovarianceTransfer(conv->variance, conv->covariance);
+
+        fprintf(stderr, "Conv Image %d: S/N: %f Covar: %f Var: %f\n",
+                i,
+                signoise(conv->image, conv->mask, conv->variance, conv->covariance),
+                psImageCovarianceFactor(conv->covariance),
+                meanVar(conv->variance, conv->mask, conv->covariance));
+
+        phot(conv->image, conv->mask, conv->variance, conv->covariance);
+        readouts->data[i] = conv;
+    }
+
+    {
+        pmReadout *minuend = readouts->data[0];
+        pmReadout *subtrahend = readouts->data[readouts->n - 1];
+        psImage *diffImage = NULL, *diffMask = NULL, *diffVariance = NULL;
+        psKernel *diffCovar = NULL;
+        diff(&diffImage, &diffMask, &diffVariance, &diffCovar,
+             minuend->image, minuend->mask, minuend->variance, minuend->covariance,
+             subtrahend->image, subtrahend->mask, subtrahend->variance, subtrahend->covariance);
+        psImageCovarianceTransfer(diffVariance, diffCovar);
+        fprintf(stderr, "WW Diff Image: S/N: %f Covar: %f Var: %f\n",
+                signoise(diffImage, diffMask, diffVariance, diffCovar),
+                psImageCovarianceFactor(diffCovar),
+                meanVar(diffVariance, diffMask, diffCovar));
+
+        writeImage(diffImage, "wwdiff.image.fits");
+        writeImage(diffMask, "wwdiff.mask.fits");
+        writeImage(diffVariance, "wwdiff.variance.fits");
+        writeImage(diffCovar->image, "wwdiff.covar.fits");
+
+        psFree(diffImage);
+        psFree(diffMask);
+        psFree(diffVariance);
+        psFree(diffCovar);
+    }
+
+    // stack-stack diff
+    {
+        psArray *readouts1 = psArrayAllocEmpty(NUM);
+        psArray *readouts2 = psArrayAllocEmpty(NUM);
+        for (int i = 0; i < NUM; i++) {
+            if (i <= NUM / 2) {
+                psArrayAdd(readouts1, 0, readouts->data[i]);
+            } else {
+                psArrayAdd(readouts2, 0, readouts->data[i]);
+            }
+        }
+
+        psImage *stackImage1 = NULL, *stackMask1 = NULL, *stackVariance1 = NULL;
+        psKernel *stackCovar1 = NULL;
+        psImage *stackImage2 = NULL, *stackMask2 = NULL, *stackVariance2 = NULL;
+        psKernel *stackCovar2 = NULL;
+        stack(&stackImage1, &stackMask1, &stackVariance1, &stackCovar1, readouts1);
+        stack(&stackImage2, &stackMask2, &stackVariance2, &stackCovar2, readouts2);
+        psFree(readouts1);
+        psFree(readouts2);
+        psImageCovarianceTransfer(stackVariance1, stackCovar1);
+        psImageCovarianceTransfer(stackVariance2, stackCovar2);
+        fprintf(stderr, "Stack 1: S/N: %f Covar: %f Var: %f\n",
+                signoise(stackImage1, stackMask1, stackVariance1, stackCovar1),
+                psImageCovarianceFactor(stackCovar1),
+                meanVar(stackVariance1, stackMask1, stackCovar1));
+        fprintf(stderr, "Stack 2: S/N: %f Covar: %f Var: %f\n",
+                signoise(stackImage2, stackMask2, stackVariance2, stackCovar2),
+                psImageCovarianceFactor(stackCovar2),
+                meanVar(stackVariance2, stackMask2, stackCovar2));
+        phot(stackImage1, stackMask1, stackVariance1, stackCovar1);
+        phot(stackImage2, stackMask2, stackVariance2, stackCovar2);
+
+        pmReadout *stack1 = pmReadoutAlloc(NULL);
+        pmReadout *stack2 = pmReadoutAlloc(NULL);
+        stack1->image = stackImage1;
+        stack1->mask = stackMask1;
+        stack1->variance = stackVariance1;
+        stack1->covariance = stackCovar1;
+        stack2->image = stackImage2;
+        stack2->mask = stackMask2;
+        stack2->variance = stackVariance2;
+        stack2->covariance = stackCovar2;
+
+        psFits *fits = psFitsOpen(DUAL_KERNEL, "r");
+        pmReadoutReadSubtractionKernels(stack1, fits);
+        psFitsClose(fits);
+        pmSubtractionKernels *kernel = psMetadataLookupPtr(NULL, stack1->analysis,
+                                                           PM_SUBTRACTION_ANALYSIS_KERNEL);
+        kernel->xMax = SKY_SIZE;
+        kernel->yMax = SKY_SIZE;
+
+        pmReadout *convStack1 = pmReadoutAlloc(NULL);
+        pmReadout *convStack2 = pmReadoutAlloc(NULL);
+        convStack1->image = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        convStack1->mask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
+        convStack1->variance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        convStack2->image = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        convStack2->mask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
+        convStack2->variance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+
+        if (!pmSubtractionMatchPrecalc(convStack1, convStack2, stack1, stack2, stack1->analysis,
+                                       32, 0.0, 0.001, 0xFF, 0xF0, 0x0F, 0.1, 1.0)) {
+            psErrorStackPrint(stderr, "Error:");
+            exit(1);
+        }
+        psFree(stack1);
+        psFree(stack2);
+
+        psImageCovarianceTransfer(convStack1->variance, convStack1->covariance);
+        psImageCovarianceTransfer(convStack2->variance, convStack2->covariance);
+
+        fprintf(stderr, "Conv stack 1: S/N: %f Covar: %f Var: %f\n",
+                signoise(convStack1->image, convStack1->mask, convStack1->variance, convStack1->covariance),
+                psImageCovarianceFactor(convStack1->covariance),
+                meanVar(convStack1->variance, convStack1->mask, convStack1->covariance));
+        fprintf(stderr, "Conv stack 2: S/N: %f Covar: %f Var: %f\n",
+                signoise(convStack2->image, convStack2->mask, convStack2->variance, convStack2->covariance),
+                psImageCovarianceFactor(convStack2->covariance),
+                meanVar(convStack2->variance, convStack2->mask, convStack2->covariance));
+
+        psImage *diffImage = NULL, *diffMask = NULL, *diffVariance = NULL;
+        psKernel *diffCovar = NULL;
+        diff(&diffImage, &diffMask, &diffVariance, &diffCovar,
+             convStack1->image, convStack1->mask, convStack1->variance, convStack1->covariance,
+             convStack2->image, convStack2->mask, convStack2->variance, convStack2->covariance);
+        psImageCovarianceTransfer(diffVariance, diffCovar);
+        fprintf(stderr, "SS Diff Image: S/N: %f Covar: %f Var: %f\n",
+                signoise(diffImage, diffMask, diffVariance, diffCovar),
+                psImageCovarianceFactor(diffCovar),
+                meanVar(diffVariance, diffMask, diffCovar));
+
+        writeImage(diffImage, "ssdiff.image.fits");
+        writeImage(diffMask, "ssdiff.mask.fits");
+        writeImage(diffVariance, "ssdiff.variance.fits");
+        writeImage(diffCovar->image, "ssdiff.covar.fits");
+
+        phot(diffImage, diffMask, diffVariance, diffCovar);
+
+        psFree(diffImage);
+        psFree(diffMask);
+        psFree(diffVariance);
+        psFree(diffCovar);
+
+        psFree(convStack1);
+        psFree(convStack2);
+    }
+
+    // Full stack and warp-stack diff
+    {
+        psImage *stackImage = NULL, *stackMask = NULL, *stackVariance = NULL;
+        psKernel *stackCovar = NULL;
+        stack(&stackImage, &stackMask, &stackVariance, &stackCovar, readouts);
+        psImageCovarianceTransfer(stackVariance, stackCovar);
+
+        writeImage(stackImage, "stack.image.fits");
+        writeImage(stackMask, "stack.mask.fits");
+        writeImage(stackVariance, "stack.variance.fits");
+        writeImage(stackCovar->image, "stack.covar.fits");
+
+        fprintf(stderr, "Stack: S/N: %f Covar: %f Var: %f\n",
+                signoise(stackImage, stackMask, stackVariance, stackCovar),
+                psImageCovarianceFactor(stackCovar),
+                meanVar(stackVariance, stackMask, stackCovar));
+
+        phot(stackImage, stackMask, stackVariance, stackCovar);
+
+        pmReadout *stack = pmReadoutAlloc(NULL);
+        stack->image = stackImage;
+        stack->mask = stackMask;
+        stack->variance = stackVariance;
+        stack->covariance = stackCovar;
+
+        psFits *fits = psFitsOpen(DUAL_KERNEL, "r");
+        pmReadoutReadSubtractionKernels(stack, fits);
+        psFitsClose(fits);
+        pmSubtractionKernels *kernel = psMetadataLookupPtr(NULL, stack->analysis,
+                                                           PM_SUBTRACTION_ANALYSIS_KERNEL);
+        kernel->xMax = SKY_SIZE;
+        kernel->yMax = SKY_SIZE;
+
+        pmReadout *warp = readouts->data[readouts->n - 1];
+        pmReadout *convStack = pmReadoutAlloc(NULL);
+        pmReadout *convWarp = pmReadoutAlloc(NULL);
+        convStack->image = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        convStack->mask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
+        convStack->variance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        convWarp->image = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+        convWarp->mask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
+        convWarp->variance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
+
+        if (!pmSubtractionMatchPrecalc(convStack, convWarp, stack, warp, stack->analysis,
+                                       32, 0.0, 0.001, 0xFF, 0xF0, 0x0F, 0.1, 1.0)) {
+            psErrorStackPrint(stderr, "Error:");
+            exit(1);
+        }
+        psFree(stack);
+        psFree(readouts);
+
+        psImageCovarianceTransfer(convStack->variance, convStack->covariance);
+        psImageCovarianceTransfer(convWarp->variance, convWarp->covariance);
+
+        fprintf(stderr, "Conv stack: S/N: %f Covar: %f Var: %f\n",
+                signoise(convStack->image, convStack->mask, convStack->variance, convStack->covariance),
+                psImageCovarianceFactor(convStack->covariance),
+                meanVar(convStack->variance, convStack->mask, convStack->covariance));
+        fprintf(stderr, "Conv warp: S/N: %f Covar: %f Var: %f\n",
+                signoise(convWarp->image, convWarp->mask, convWarp->variance, convWarp->covariance),
+                psImageCovarianceFactor(convWarp->covariance),
+                meanVar(convWarp->variance, convWarp->mask, convWarp->covariance));
+
+        psImage *diffImage = NULL, *diffMask = NULL, *diffVariance = NULL;
+        psKernel *diffCovar = NULL;
+        diff(&diffImage, &diffMask, &diffVariance, &diffCovar,
+             convStack->image, convStack->mask, convStack->variance, convStack->covariance,
+             convWarp->image, convWarp->mask, convWarp->variance, convWarp->covariance);
+        psFree(convStack);
+        psFree(convWarp);
+        psImageCovarianceTransfer(diffVariance, diffCovar);
+        fprintf(stderr, "WS Diff Image: S/N: %f Covar: %f Var: %f\n",
+                signoise(diffImage, diffMask, diffVariance, diffCovar),
+                psImageCovarianceFactor(diffCovar),
+                meanVar(diffVariance, diffMask, diffCovar));
+
+        writeImage(diffImage, "wsdiff.image.fits");
+        writeImage(diffMask, "wsdiff.mask.fits");
+        writeImage(diffVariance, "wsdiff.variance.fits");
+        writeImage(diffCovar->image, "wsdiff.covar.fits");
+
+        phot(diffImage, diffMask, diffVariance, diffCovar);
+
+        psFree(diffImage);
+        psFree(diffMask);
+        psFree(diffVariance);
+        psFree(diffCovar);
+    }
+
+}
Index: branches/pap/archive/variance_covariance/stack.c
===================================================================
--- branches/pap/archive/variance_covariance/stack.c	(revision 27787)
+++ 	(revision )
@@ -1,314 +1,0 @@
-#include <stdio.h>
-#include <pslib.h>
-#include <psmodules.h>
-
-#define NUM 8
-#define DET_SIZE 2000
-#define SKY_SIZE 1000
-#define SIZE 1024
-#define OUTPUT_ROOT "stack"
-#define SCALE 0.654321
-#define ROT M_PI_2
-#define INTERPOLATION PS_INTERPOLATE_LANCZOS3
-#define OFFSET 16
-
-static const float variances[] = { 3.0, 10.0, 30.0, 100.0, 300.0, 1000.0, 3000.0, 10000.0 };
-
-static const char *rootNames[] = { "o5298g0209o.fake.warp", "o5298g0210o.fake.warp", "o5298g0211o.fake.warp",
-                                   "o5298g0212o.fake.warp", "o5298g0213o.fake.warp", "o5298g0214o.fake.warp",
-                                   "o5298g0215o.fake.warp", "o5298g0216o.fake.warp" };
-static const char *kernels[] = { "test.5.kernel", "test.11.kernel", "test.17.kernel", "test.23.kernel",
-                                 "test.29.kernel", "test.35.kernel", "test.41.kernel", "test.47.kernel" };
-
-void warp(psImage **outImage, psImage **outMask, psImage **outVariance, psKernel **outCovar,
-          const psImage *inImage, const psImage *inMask, const psImage *inVariance, const psKernel *inCovar)
-{
-    psImageInterpolation *interp = psImageInterpolationAlloc(INTERPOLATION, inImage,
-                                                             inVariance, inMask, 0xFF,
-                                                             NAN, NAN, 0xF0, 0x0F, 0.1,
-                                                             1000);
-    *outImage = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
-    *outMask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
-    *outVariance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
-
-    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
-    float xOffset = psRandomUniform(rng) * 2 * OFFSET - OFFSET;
-    float yOffset = psRandomUniform(rng) * 2 * OFFSET - OFFSET;
-    for (int y = 0; y < SKY_SIZE; y++) {
-        for (int x = 0; x < SKY_SIZE; x++) {
-            float xIn = SCALE * ((x - SKY_SIZE/2) * cos(ROT) + (y - SKY_SIZE/2) * sin(ROT)) + DET_SIZE / 2 + xOffset;
-            float yIn = SCALE * ((x - SKY_SIZE/2) * -sin(ROT) + (y - SKY_SIZE/2) * cos(ROT)) + DET_SIZE / 2 + yOffset;
-
-            double img, var;
-            psImageMaskType msk;
-            psImageInterpolate(&img, &var, &msk, xIn, yIn, interp);
-
-            (*outImage)->data.F32[y][x] = img;
-            (*outVariance)->data.F32[y][x] = var;
-            (*outMask)->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = isfinite(img) || isfinite(var) ? msk : 0xFF;
-        }
-    }
-
-    psArray *covariances = psArrayAlloc(1000);
-    for (int i = 0; i < covariances->n; i++) {
-        psKernel *kernel = psImageInterpolationKernel(psRandomUniform(rng), psRandomUniform(rng),
-                                                      INTERPOLATION);
-        covariances->data[i] = psImageCovarianceCalculate(kernel, inCovar);
-        psFree(kernel);
-    }
-    psFree(rng);
-    psKernel *avgCovar = psImageCovarianceAverage(covariances);
-    psFree(covariances);
-    *outCovar = psImageCovarianceScale(avgCovar, SCALE);
-    psFree(avgCovar);
-}
-
-void writeImage(const psImage *image, const char *suffix)
-{
-    psString name = NULL;
-    psStringAppend(&name, "%s.%s", OUTPUT_ROOT, suffix);
-    psFits *fits = psFitsOpen(name, "w");
-    psFree(name);
-    psFitsWriteImage(fits, NULL, image, 0, NULL);
-    psFitsClose(fits);
-}
-
-#if 0
-psImage *readImage(const char *name)
-{
-    psFits *fits = psFitsOpen(name, "r");
-    psImage *image = psFitsReadImage(fits, psRegionSet(0,DET_SIZE,0,DET_SIZE), 0);
-    psFitsClose(fits);
-    return image;
-}
-
-psImage *readMask(const char *name)
-{
-    psFits *fits = psFitsOpen(name, "r");
-    psImage *image = psFitsReadImage(fits, psRegionSet(0,DET_SIZE,0,DET_SIZE), 0);
-    if (image->type.type != PS_TYPE_IMAGE_MASK) {
-        psImage *temp = psImageCopy(NULL, image, PS_TYPE_IMAGE_MASK);
-        psFree(image);
-        image = temp;
-    }
-    psFitsClose(fits);
-    return image;
-}
-
-psImage *readVariance(psKernel **covar, const char *name)
-{
-    psFits *fits = psFitsOpen(name, "r");
-    psImage *variance = psFitsReadImage(fits, psRegionSet(0,DET_SIZE,0,DET_SIZE), 0);
-    if (psFitsMoveExtNum(fits, 1, true)) {
-        psImage *covariance = psFitsReadImage(fits, psRegionSet(0,0,0,0), 0);
-        *covar = psKernelAllocFromImage(covariance, covariance->numCols / 2, covariance->numRows / 2);
-        psFree(covariance);
-    } else {
-        psErrorClear();
-    }
-    psFitsClose(fits);
-    return variance;
-}
-#endif
-
-float meanVar(const psImage *var, const psImage *mask, const psKernel *covar)
-{
-    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
-    psStats *stats = psStatsAlloc(PS_STAT_SAMPLE_MEDIAN);
-    psImageBackground(stats, NULL, var, mask, 0xFF, rng);
-    float variance = stats->sampleMedian * psImageCovarianceFactor(covar);
-    psFree(stats);
-    psFree(rng);
-    return variance;
-}
-
-
-float signoise(const psImage *image, const psImage *mask, const psImage *var, const psKernel *covar)
-{
-    float varFactor = psImageCovarianceFactor(covar);
-    psImage *sn = psImageAlloc(image->numCols, image->numRows, PS_TYPE_F32);
-    for (int y = 0; y < image->numRows; y++) {
-        for (int x = 0; x < image->numCols; x++) {
-            sn->data.F32[y][x] = image->data.F32[y][x] / sqrtf(var->data.F32[y][x] * varFactor);
-        }
-    }
-    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
-    psStats *stats = psStatsAlloc(PS_STAT_ROBUST_STDEV);
-    psImageBackground(stats, NULL, sn, mask, 0xFF, rng);
-    float noise = stats->robustStdev;
-    psFree(stats);
-    psFree(rng);
-    psFree(sn);
-    return noise;
-}
-
-
-int main(int argc, char *argv[])
-{
-    psArray *readouts = psArrayAlloc(NUM);
-    psArray *covars = psArrayAlloc(NUM);
-    psVector *weights = psVectorAlloc(NUM, PS_TYPE_F32);
-    psRandom *rng = psRandomAlloc(PS_RANDOM_TAUS);
-    for (int i = 0; i < NUM; i++) {
-        psImage *inImage = psImageAlloc(DET_SIZE, DET_SIZE, PS_TYPE_F32);
-        psImage *inMask = psImageAlloc(DET_SIZE, DET_SIZE, PS_TYPE_IMAGE_MASK);
-        psImage *inVariance = psImageAlloc(DET_SIZE, DET_SIZE, PS_TYPE_F32);
-        psKernel *inCovar = NULL;
-
-        float noise = sqrtf(variances[i]);
-        for (int y = 0; y < DET_SIZE; y++) {
-            for (int x = 0; x < DET_SIZE; x++) {
-                inImage->data.F32[y][x] = psRandomGaussian(rng) * noise;
-                inMask->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = 0;
-                inVariance->data.F32[y][x] = variances[i];
-            }
-        }
-
-#if 0
-        psString imageName = NULL, maskName = NULL, varName = NULL;
-        psStringAppend(&imageName, "%s.fits", rootNames[i]);
-        psStringAppend(&maskName, "%s.mask.fits", rootNames[i]);
-        psStringAppend(&varName, "%s.wt.fits", rootNames[i]);
-        inImage = readImage(imageName);
-        inMask = readMask(maskName);
-        inVariance = readVariance(&inCovar, varName);
-        for (int y = 0; y < DET_SIZE; y++) {
-            for (int x = 0; x < DET_SIZE; x++) {
-                if (!isfinite(inImage->data.F32[y][x]) || !isfinite(inVariance->data.F32[y][x])) {
-                    inMask->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = 0xFF;
-                }
-            }
-        }
-#endif
-
-        psImageCovarianceTransfer(inVariance, inCovar);
-
-        fprintf(stderr, "Input image %d: S/N: %f Covar: %f Var: %f\n",
-                i,
-                signoise(inImage, inMask, inVariance, inCovar),
-                psImageCovarianceFactor(inCovar),
-                meanVar(inVariance, inMask, inCovar));
-
-        psImage *warpImage = NULL, *warpMask = NULL, *warpVariance = NULL;
-        psKernel *warpCovar = NULL;
-        warp(&warpImage, &warpMask, &warpVariance, &warpCovar, inImage, inMask, inVariance, inCovar);
-        psFree(inImage);
-        psFree(inMask);
-        psFree(inVariance);
-        psFree(inCovar);
-
-        psImageCovarianceTransfer(warpVariance, warpCovar);
-
-        fprintf(stderr, "Warp image %d: S/N: %f Covar: %f Var: %f\n",
-                i,
-                signoise(warpImage, warpMask, warpVariance, warpCovar),
-                psImageCovarianceFactor(warpCovar),
-                meanVar(warpVariance, warpMask, warpCovar));
-
-        pmReadout *ro = pmReadoutAlloc(NULL);
-        ro->image = warpImage;
-        ro->mask = warpMask;
-        ro->variance = warpVariance;
-        ro->covariance = warpCovar;
-
-        psFits *fits = psFitsOpen(kernels[i], "r");
-        pmReadoutReadSubtractionKernels(ro, fits);
-        pmSubtractionKernels *kernels = psMetadataLookupPtr(NULL, ro->analysis, PM_SUBTRACTION_ANALYSIS_KERNEL);
-        kernels->xMax = SKY_SIZE;
-        kernels->yMax = SKY_SIZE;
-        psFitsClose(fits);
-
-        pmReadout *conv = pmReadoutAlloc(NULL);
-        conv->image = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
-        conv->mask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
-        conv->variance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
-        if (!pmSubtractionMatchPrecalc(NULL, conv, NULL, ro, ro->analysis, 32, 0.0, 0.001,
-                                       0xFF, 0xF0, 0x0F, 0.1, 1.0)) {
-            psErrorStackPrint(stderr, "Error:");
-            exit(1);
-        }
-        psFree(ro);
-
-        psImageCovarianceTransfer(conv->variance, conv->covariance);
-
-        fprintf(stderr, "Conv Image %d: S/N: %f Covar: %f Var: %f\n",
-                i,
-                signoise(conv->image, conv->mask, conv->variance, conv->covariance),
-                psImageCovarianceFactor(conv->covariance),
-                meanVar(conv->variance, conv->mask, conv->covariance));
-
-        weights->data.F32[i] = 1.0 / meanVar(conv->variance, conv->mask, conv->covariance);
-
-        covars->data[i] = psMemIncrRefCounter(conv->covariance);
-        readouts->data[i] = conv;
-    }
-
-    psImage *stackImage = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
-    psImage *stackMask = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_IMAGE_MASK);
-    psImage *stackVariance = psImageAlloc(SKY_SIZE, SKY_SIZE, PS_TYPE_F32);
-    for (int y = 0; y < SKY_SIZE; y++) {
-        for (int x = 0; x < SKY_SIZE; x++) {
-            double sumValueWeight = 0.0;
-            double sumWeight = 0.0;
-            double sumVarianceWeight = 0.0;
-            for (int i = 0; i < NUM; i++) {
-                pmReadout *ro = readouts->data[i];
-                sumValueWeight += ro->image->data.F32[y][x] * weights->data.F32[i];
-                sumWeight += weights->data.F32[i];
-                sumVarianceWeight += ro->variance->data.F32[y][x] * PS_SQR(weights->data.F32[i]);
-            }
-            stackImage->data.F32[y][x] = sumValueWeight / sumWeight;
-            stackVariance->data.F32[y][x] = sumVarianceWeight / PS_SQR(sumWeight);
-            stackMask->data.PS_TYPE_IMAGE_MASK_DATA[y][x] = (isfinite(stackImage->data.F32[y][x]) && isfinite(stackVariance->data.F32[y][x])) ? 0x00 : 0xFF;
-        }
-    }
-
-    psKernel *stackCovar = psImageCovarianceAverageWeighted(covars, weights);
-    psFree(weights);
-    psFree(covars);
-    psFree(readouts);
-
-    psImageCovarianceTransfer(stackVariance, stackCovar);
-
-    writeImage(stackImage, "image.fits");
-    writeImage(stackMask, "mask.fits");
-    writeImage(stackVariance, "variance.fits");
-    writeImage(stackCovar->image, "covar.fits");
-
-    fprintf(stderr, "Stack: S/N: %f Covar: %f Var: %f\n",
-            signoise(stackImage, stackMask, stackVariance, stackCovar),
-            psImageCovarianceFactor(stackCovar),
-            meanVar(stackVariance, stackMask, stackCovar));
-
-    float smoothSigma = 6.680111;
-    float smoothNsigma = 2.000000;
-
-    psKernel *kernel = psImageSmoothKernel(smoothSigma, smoothNsigma); // Kernel used for smoothing
-
-    psKernel *smoothCovar = psImageCovarianceCalculate(kernel, stackCovar);
-    psImage *smoothImage = psImageCopy(NULL, stackImage, PS_TYPE_F32);
-    psImageSmoothMask(smoothImage, smoothImage, stackMask, 0xFF,
-                      smoothSigma, smoothNsigma, 0.1);
-    psImage *smoothVariance = psImageCopy(NULL, stackVariance, PS_TYPE_F32);
-    psImageSmoothMask(smoothVariance, smoothVariance, stackMask, 0xFF,
-                      smoothSigma * M_SQRT1_2, smoothNsigma, 0.1);
-    int extent = smoothSigma * smoothNsigma + 0.5;
-    psImage *smoothMask = psImageConvolveMask(NULL, stackMask, 0xFF, 0xFF, -extent, extent, -extent, extent);
-
-    psImageCovarianceTransfer(smoothVariance, smoothCovar);
-
-    fprintf(stderr, "Smoothed: S/N: %f Covar: %f Var: %f\n",
-            signoise(smoothImage, smoothMask, smoothVariance, smoothCovar),
-            psImageCovarianceFactor(smoothCovar),
-            meanVar(smoothVariance, smoothMask, smoothCovar));
-
-    psFree(stackImage);
-    psFree(stackMask);
-    psFree(stackVariance);
-    psFree(stackCovar);
-
-    psFree(smoothImage);
-    psFree(smoothMask);
-    psFree(smoothVariance);
-    psFree(smoothCovar);
-}
Index: branches/pap/archive/variance_covariance/sub.subkernel
===================================================================
--- branches/pap/archive/variance_covariance/sub.subkernel	(revision 27791)
+++ branches/pap/archive/variance_covariance/sub.subkernel	(revision 27791)
@@ -0,0 +1,4312 @@
+SIMPLE  =                    T / file does conform to FITS standard             BITPIX  =                   16 / number of bits per data pixel                  NAXIS   =                    0 / number of data axes                            EXTEND  =                    T / FITS dataset may contain extensions            COMMENT   FITS (Flexible Image Transport System) format is defined in 'AstronomyCOMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H PSCAMERA= 'GPC1    '           / Camera name                                    PSFORMAT= 'SKYCELL '           / Camera format                                  END                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             XTENSION= 'BINTABLE'           / binary table extension                         BITPIX  =                    8 / 8-bit bytes                                    NAXIS   =                    2 / 2-dimensional binary table                     NAXIS1  =                 1389 / width of table in bytes                        NAXIS2  =                    1 / number of rows in table                        PCOUNT  =                    0 / size of special data area                      GCOUNT  =                    1 / one data group (required keyword)              TFIELDS =                   12 / number of fields in each row                   TTYPE1  = 'XMIN    '           / label for field   1                            TFORM1  = '1J      '           / data format of field: 4-byte INTEGER           TTYPE2  = 'XMAX    '           / label for field   2                            TFORM2  = '1J      '           / data format of field: 4-byte INTEGER           TTYPE3  = 'YMIN    '           / label for field   3                            TFORM3  = '1J      '           / data format of field: 4-byte INTEGER           TTYPE4  = 'YMAX    '           / label for field   4                            TFORM4  = '1J      '           / data format of field: 4-byte INTEGER           TTYPE5  = 'KERNEL  '           / label for field   5                            TFORM5  = '41A     '           / data format of field: ASCII Character          TTYPE6  = 'BG_ORDER'           / label for field   6                            TFORM6  = '1J      '           / data format of field: 4-byte INTEGER           TTYPE7  = 'MODE    '           / label for field   7                            TFORM7  = '1J      '           / data format of field: 4-byte INTEGER           TTYPE8  = 'SOLUTION_1'         / label for field   8                            TFORM8  = '83D     '           / data format of field: 8-byte DOUBLE            TTYPE9  = 'SOLUTION_2'         / label for field   9                            TFORM9  = '81D     '           / data format of field: 8-byte DOUBLE            TTYPE10 = 'MEAN    '           / label for field  10                            TFORM10 = '1E      '           / data format of field: 4-byte REAL              TTYPE11 = 'RMS     '           / label for field  11                            TFORM11 = '1E      '           / data format of field: 4-byte REAL              TTYPE12 = 'NUMSTAMPS'          / label for field  12                            TFORM12 = '1J      '           / data format of field: 4-byte INTEGER           HIERARCH PPSUB.KERNEL = 'ISIS(14,(2.0,4)(3.4,2)(5.7,2),1,1.00e+00)' / SubtractioHIERARCH SUBTRACTION.REGION = '[1:6191,1:6172]' / Region over which subtraction HIERARCH SUBTRACTION.MODE =  4 / Subtraction mode                               HIERARCH SUBTRACTION.DECONV.MAX = 1. / Maximum deconvolution fraction           HIERARCH SUBTRACTION.NORM = 1.004029 / Normalisation                            HIERARCH SUBTRACTION.MX = 0.009863825 / Moment in x                             HIERARCH SUBTRACTION.MY = 0.03301538 / Moment in y                              HIERARCH SUBTRACTION.MXX = 0.9803156 / Moment in xx                             HIERARCH SUBTRACTION.MXY = 0.03467866 / Moment in xy                            HIERARCH SUBTRACTION.MYY = 1.086685 / Moment in yy                              HIERARCH SUBTRACTION.BGDIFF = -0.1643051 / Background difference                HIERARCH SUBTRACTION.STAMPS = 103 / Number of stamps                            HIERARCH SUBTRACTION.DEV.MEAN = 0.1291598 / Mean stamp deviation                HIERARCH SUBTRACTION.DEV.RMS = 0.02536074 / RMS stamp deviation                 HIERARCH SUBTRACTION.RES.FSIGMA.MEAN = 0.0002663131 / Mean Fractional Sigma of RHIERARCH SUBTRACTION.RES.FSIGMA.STDEV = 0.0002698915 / Mean Fractional Sigma of HIERARCH SUBTRACTION.RES.FMIN.MEAN = 0.0002663131 / Mean Fractional Sigma of ResHIERARCH SUBTRACTION.RES.FMIN.STDEV = 0.0002698915 / Mean Fractional Sigma of ReHIERARCH SUBTRACTION.RES.FMAX.MEAN = 0.0002663131 / Mean Fractional Sigma of ResHIERARCH SUBTRACTION.RES.FMAX.STDEV = 0.0002698915 / Mean Fractional Sigma of ReHIERARCH PPSUB.REFERENCE = 'o5252g0090o.140731.wrp.35980.skycell.0816.084.fits' HIERARCH PPSUB.INPUT = 'o5252g0074o.140708.wrp.35956.skycell.0816.084.fits' / SuHISTORY ppSub at 2010-04-28T21:05:50.804455                                     HISTORY psLib version: trunk/psLib@27702                                        HISTORY psLib source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                      HISTORY psModules version: trunk/psModules@27665                                HISTORY psModules source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                  HISTORY psphot version: trunk/psphot@27789                                      HISTORY psphot source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                     HISTORY ppStats version: trunk/ppStats@26912                                    HISTORY ppStats source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                    HISTORY ppSub version: trunk/ppSub@27720:27788M                                 HISTORY ppSub source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                      CTYPE1  = 'RA---TAN'                                                            CTYPE2  = 'DEC--TAN'                                                            CRVAL1  =     85.7142791747971                                                  CRVAL2  =    -21.9999999999992                                                  CRPIX1  =               36245.                                                  CRPIX2  =               -7077.                                                  CDELT1  = 5.55555561729982E-05                                                  CDELT2  = 5.55555561729982E-05                                                  PC001001=                   1.                                                  PC001002=                   0.                                                  PC002001=                   0.                                                  PC002002=                   1.                                                  HISTORY Rescaled variance by 1.5037 (stdev by 1.2262)                           PSCAMERA= 'GPC1    '           / Camera name                                    PSFORMAT= 'SKYCELL '           / Camera format                                  MSKNAM00= 'DETECTOR'           / Bitmask bit name                               MSKVAL00=                    1 / Bitmask bit value                              MSKNAM01= 'FLAT    '           / Bitmask bit name                               MSKVAL01=                    2 / Bitmask bit value                              MSKNAM02= 'DARK    '           / Bitmask bit name                               MSKVAL02=                    4 / Bitmask bit value                              MSKNAM03= 'BLANK   '           / Bitmask bit name                               MSKVAL03=                    8 / Bitmask bit value                              MSKNAM04= 'CTE     '           / Bitmask bit name                               MSKVAL04=                   16 / Bitmask bit value                              MSKNAM05= 'SAT     '           / Bitmask bit name                               MSKVAL05=                   32 / Bitmask bit value                              MSKNAM06= 'LOW     '           / Bitmask bit name                               MSKVAL06=                   64 / Bitmask bit value                              MSKNAM07= 'SUSPECT '           / Bitmask bit name                               MSKVAL07=                  128 / Bitmask bit value                              MSKNAM08= 'BURNTOOL'           / Bitmask bit name                               MSKVAL08=                  128 / Bitmask bit value                              MSKNAM09= 'CR      '           / Bitmask bit name                               MSKVAL09=                  256 / Bitmask bit value                              MSKNAM10= 'SPIKE   '           / Bitmask bit name                               MSKVAL10=                  512 / Bitmask bit value                              MSKNAM11= 'GHOST   '           / Bitmask bit name                               MSKVAL11=                 1024 / Bitmask bit value                              MSKNAM12= 'STREAK  '           / Bitmask bit name                               MSKVAL12=                 2048 / Bitmask bit value                              MSKNAM13= 'STARCORE'           / Bitmask bit name                               MSKVAL13=                 4096 / Bitmask bit value                              MSKNAM14= 'CONV.BAD'           / Bitmask bit name                               MSKVAL14=                 8192 / Bitmask bit value                              MSKNAM15= 'CONV.POOR'          / Bitmask bit name                               MSKVAL15=                16384 / Bitmask bit value                              MSKNAM16= 'MASK.VALUE'         / Bitmask bit name                               MSKVAL16=                 8575 / Bitmask bit value                              MSKNAM17= 'MARK.VALUE'         / Bitmask bit name                               MSKVAL17=                32768 / Bitmask bit value                              MSKNUM  =                   18 / Bitmask bit count                              HIERARCH FPA.OBS = 'STARGRASP' / Observation identifier                         HIERARCH FPA.TELESCOPE = 'PS1     ' / Telescope of origin                       HIERARCH FPA.INSTRUMENT = 'GPC1    ' / Instrument name (according to the instrumHIERARCH FPA.DETECTOR = 'GPC1    ' / Detector name                              HIERARCH FPA.COMMENT = 'DM3PI z QW+10 ps1_01_5475 visit 1' / Observation commentHIERARCH FPA.OBS.MODE = '3PI     ' / Observation mode (eg, survey id)           HIERARCH FPA.OBS.GROUP = '        ' / Observation group (eg, associated images) HIERARCH FPA.FOCUS =  -1341.85 / Telescope focus                                AIRMASS =                1.343 / Airmass at boresight                           HIERARCH FPA.FILTERID = 'z.00000 ' / Filter used (parsed, abstract name)        HIERARCH FPA.FILTER = 'z.00000 ' / Filter used (instrument name)                HIERARCH FPA.POSANGLE = 334.7877 / Position angle of instrument                 HIERARCH FPA.ROTANGLE = -150.8917 / Rotator angle of instrument                 HIERARCH FPA.RADECSYS = '2000.000000' / Celestial coordinate system             HIERARCH FPA.RA = '05:38:36.639' / Right Ascension of boresight                 HIERARCH FPA.DEC = '-21:09:33.133' / Declination of boresight                   HIERARCH FPA.LONGITUDE = 10.4170602777931 / West longitude of observatory       HIERARCH FPA.LATITUDE = 20.7070994446013 / Latitude of observatory              HIERARCH FPA.ELEVATION = 3048. / Elevation of observatory (meters)              HIERARCH FPA.OBSTYPE = 'OBJECT  ' / Type of observation                         HIERARCH FPA.OBJECT = 'ps1_01_5475' / Object of observation                     HIERARCH FPA.ALT =   48.067667 / Altitude of boresight                          HIERARCH FPA.AZ =   183.424454 / Azimuth of boresight                           HIERARCH FPA.TEMP =     -80.95 / Temperature of focal plane                     HIERARCH FPA.M1X =          0. / Primary Mirror X Position                      HIERARCH FPA.M1Y =    999.9866 / Primary Mirror Y Position                      HIERARCH FPA.M1Z =   -0.008933 / Primary Mirror Z Position                      HIERARCH FPA.M1TIP = -18.99435 / Primary Mirror TIP                             HIERARCH FPA.M1TILT = -73.99713 / Primary Mirror TILT                           HIERARCH FPA.M2X =    474.9558 / Primary Mirror X Position                      HIERARCH FPA.M2Y =   -690.9139 / Primary Mirror Y Position                      HIERARCH FPA.M2Z =    -1341.85 / Primary Mirror Z Position                      HIERARCH FPA.M2TIP =  44.22855 / Primary Mirror TIP                             HIERARCH FPA.M2TILT = 203.0453 / Primary Mirror TILT                            HIERARCH FPA.ENV.TEMP =    8.8 / Environment: Temperature                       HIERARCH FPA.ENV.HUMID =   4.3 / Environment: Humidity                          HIERARCH FPA.ENV.WIND =    4.1 / Environment: Wind speed                        HIERARCH FPA.ENV.DIR =    264. / Environment: Wind direction                    HIERARCH FPA.TELTEMP.M1 = 9.75 / Telescope Temperatures: M1                     HIERARCH FPA.TELTEMP.M1CELL = 9.3 / Telescope Temperatures: M1 cell             HIERARCH FPA.TELTEMP.M2 = 8.15 / Telescope Temperatures: M2                     HIERARCH FPA.TELTEMP.SPIDER = 8. / Telescope Temperatures: spider               HIERARCH FPA.TELTEMP.TRUSS = 9.05 / Telescope Temperatures: truss               HIERARCH FPA.TELTEMP.EXTRA = 7.75 / Telescope Temperatures: extra               HIERARCH FPA.PON.TIME = 1923767. / Power On Time                                HIERARCH FPA.BURNTOOL.APPLIED = T / [T=applied] Burn streaks applied to image daHIERARCH FPA.ZP =     24.37298 / Magnitude zero point                           HIERARCH CHIP.XSIZE =        0 / Size of chip (pixels)                          HIERARCH CHIP.YSIZE =        0 / Size of chip (pixels)                          HIERARCH CHIP.TEMP = 'NaN     ' / Temperature of chip                           HIERARCH CHIP.ID = '        '  / Chip identifier                                HIERARCH CHIP.SEEING = 'NaN     ' / Seeing FWHM (pixels)                        HIERARCH CELL.GAIN =  1.019088 / CCD gain (e/count)                             HIERARCH CELL.READNOISE = 5.843155 / CCD read noise (e)                         HIERARCH CELL.SATURATION = 19500. / Saturation level (counts)                   HIERARCH CELL.BAD =      -100. / Bad level (counts)                             EXPTIME =                  30. / Exposure time (sec)                            HIERARCH CELL.DARKTIME = 40.2412 / Time since flush (sec)                       HIERARCH CELL.XBIN =         1 / Binning in x                                   HIERARCH CELL.YBIN =         1 / Binning in y                                   MJD-OBS =     55252.2461947272 / Time of exposure                               HIERARCH CELL.XSIZE =        0 / Size of cell (pixels)                          HIERARCH CELL.YSIZE =        0 / Size of cell (pixels)                          HIERARCH CELL.XWINDOW =      0 / Start of cell window (pixels)                  HIERARCH CELL.YWINDOW =      0 / Start of cell window (pixels)                  HIERARCH CELL.TRIMSEC = '[1:6192,1:6173]' / Trim section                        HIERARCH CELL.BIASSEC = ''                                                      PS_COVAR=                    T / Is a covariance matrix present?                HIERARCH PSVERSION = 'pmSubtractionIO.c,v  1.9.18.1  2009-02-19 17:59:50 ' / S/WEXTNAME = 'SUBTRACTION_KERNEL'                                                  END                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             /
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+Yë?±Ìœ-MO?–E÷)X¿55ˆÓÔ?oj
+]²º?’ÝÞýUËÇ?‡Wƒ%G&¿3oùô1“?T^n€	@ž?c
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+?IsoÂy?Yt°yÔhö¿µWÚh«Ö–?hk‡÷	Û#¿ ŽÖü¿C?a€ÙÀ*™¿ûõÜN°?7.‹LèÂØ¿lÿ
+»*Ö?ey!e»’¿g¯k3:·Á¿ž[럝e÷¿i xs;œ¿’ÎE³¬„	?P
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+¿t31Èã¡¿9ÀM'u¿š&Ð
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+¿n0BSq@W?q¿²LÒⱿqÌÓLÝ{¿¿04»ªg3?‚ƒ	xa/Z¿¯úR}R ¿pÔu׬×?G7Ø“ë’¿¬Ñ¡ÿV}W¿·‚]óeÏ¿E‘Æ„ÿE¿—no‚8GÙ?E™±Õ°Mž¿MÚ¥úØük¿›Bž3üœ¿”«KÖ}.i¿WP£‹T¿vE€Ó܆+?aŒ%à2Ñ¿1‘&C,(B¿u0™n›
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+Àgü]?o³ê6 ÷?^$唀9›¿>ȧõ°Žq?zÕMÏWŽ°?ljÝÀÖÓî?d7†ÿŸ-à¿dÉeimž?GýJA5‚¿VNÆÀ|V›¿=0iØÌo¿5
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+>Bw<ÏÁQgXTENSION= 'IMAGE   '           / IMAGE extension                                BITPIX  =                  -32 / number of bits per data pixel                  NAXIS   =                    2 / number of data axes                            NAXIS1  =                  303 / length of data axis 1                          NAXIS2  =                  149 / length of data axis 2                          PCOUNT  =                    0 / required keyword; must = 0                     GCOUNT  =                    1 / required keyword; must = 1                     HIERARCH PPSUB.KERNEL = 'ISIS(14,(2.0,4)(3.4,2)(5.7,2),1,1.00e+00)' / SubtractioHIERARCH SUBTRACTION.REGION = '[1:6191,1:6172]' / Region over which subtraction HIERARCH SUBTRACTION.MODE =  4 / Subtraction mode                               HIERARCH SUBTRACTION.DECONV.MAX = 1. / Maximum deconvolution fraction           HIERARCH SUBTRACTION.NORM = 1.004029 / Normalisation                            HIERARCH SUBTRACTION.MX = 0.009863825 / Moment in x                             HIERARCH SUBTRACTION.MY = 0.03301538 / Moment in y                              HIERARCH SUBTRACTION.MXX = 0.9803156 / Moment in xx                             HIERARCH SUBTRACTION.MXY = 0.03467866 / Moment in xy                            HIERARCH SUBTRACTION.MYY = 1.086685 / Moment in yy                              HIERARCH SUBTRACTION.BGDIFF = -0.1643051 / Background difference                HIERARCH SUBTRACTION.STAMPS = 103 / Number of stamps                            HIERARCH SUBTRACTION.DEV.MEAN = 0.1291598 / Mean stamp deviation                HIERARCH SUBTRACTION.DEV.RMS = 0.02536074 / RMS stamp deviation                 HIERARCH SUBTRACTION.RES.FSIGMA.MEAN = 0.0002663131 / Mean Fractional Sigma of RHIERARCH SUBTRACTION.RES.FSIGMA.STDEV = 0.0002698915 / Mean Fractional Sigma of HIERARCH SUBTRACTION.RES.FMIN.MEAN = 0.0002663131 / Mean Fractional Sigma of ResHIERARCH SUBTRACTION.RES.FMIN.STDEV = 0.0002698915 / Mean Fractional Sigma of ReHIERARCH SUBTRACTION.RES.FMAX.MEAN = 0.0002663131 / Mean Fractional Sigma of ResHIERARCH SUBTRACTION.RES.FMAX.STDEV = 0.0002698915 / Mean Fractional Sigma of ReHIERARCH PPSUB.REFERENCE = 'o5252g0090o.140731.wrp.35980.skycell.0816.084.fits' HIERARCH PPSUB.INPUT = 'o5252g0074o.140708.wrp.35956.skycell.0816.084.fits' / SuHISTORY ppSub at 2010-04-28T21:05:50.804455                                     HISTORY psLib version: trunk/psLib@27702                                        HISTORY psLib source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                      HISTORY psModules version: trunk/psModules@27665                                HISTORY psModules source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                  HISTORY psphot version: trunk/psphot@27789                                      HISTORY psphot source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                     HISTORY ppStats version: trunk/ppStats@26912                                    HISTORY ppStats source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                    HISTORY ppSub version: trunk/ppSub@27720:27788M                                 HISTORY ppSub source: 60eb6cdc-a59c-4636-a4e0-dba66a9721fd                      CTYPE1  = 'RA---TAN'                                                            CTYPE2  = 'DEC--TAN'                                                            CRVAL1  =     85.7142791747971                                                  CRVAL2  =    -21.9999999999992                                                  CRPIX1  =               36245.                                                  CRPIX2  =               -7077.                                                  CDELT1  = 5.55555561729982E-05                                                  CDELT2  = 5.55555561729982E-05                                                  PC001001=                   1.                                                  PC001002=                   0.                                                  PC002001=                   0.                                                  PC002002=                   1.                                                  HISTORY Rescaled variance by 1.5037 (stdev by 1.2262)                           PSCAMERA= 'GPC1    '           / Camera name                                    PSFORMAT= 'SKYCELL '           / Camera format                                  MSKNAM00= 'DETECTOR'           / Bitmask bit name                               MSKVAL00=                    1 / Bitmask bit value                              MSKNAM01= 'FLAT    '           / Bitmask bit name                               MSKVAL01=                    2 / Bitmask bit value                              MSKNAM02= 'DARK    '           / Bitmask bit name                               MSKVAL02=                    4 / Bitmask bit value                              MSKNAM03= 'BLANK   '           / Bitmask bit name                               MSKVAL03=                    8 / Bitmask bit value                              MSKNAM04= 'CTE     '           / Bitmask bit name                               MSKVAL04=                   16 / Bitmask bit value                              MSKNAM05= 'SAT     '           / Bitmask bit name                               MSKVAL05=                   32 / Bitmask bit value                              MSKNAM06= 'LOW     '           / Bitmask bit name                               MSKVAL06=                   64 / Bitmask bit value                              MSKNAM07= 'SUSPECT '           / Bitmask bit name                               MSKVAL07=                  128 / Bitmask bit value                              MSKNAM08= 'BURNTOOL'           / Bitmask bit name                               MSKVAL08=                  128 / Bitmask bit value                              MSKNAM09= 'CR      '           / Bitmask bit name                               MSKVAL09=                  256 / Bitmask bit value                              MSKNAM10= 'SPIKE   '           / Bitmask bit name                               MSKVAL10=                  512 / Bitmask bit value                              MSKNAM11= 'GHOST   '           / Bitmask bit name                               MSKVAL11=                 1024 / Bitmask bit value                              MSKNAM12= 'STREAK  '           / Bitmask bit name                               MSKVAL12=                 2048 / Bitmask bit value                              MSKNAM13= 'STARCORE'           / Bitmask bit name                               MSKVAL13=                 4096 / Bitmask bit value                              MSKNAM14= 'CONV.BAD'           / Bitmask bit name                               MSKVAL14=                 8192 / Bitmask bit value                              MSKNAM15= 'CONV.POOR'          / Bitmask bit name                               MSKVAL15=                16384 / Bitmask bit value                              MSKNAM16= 'MASK.VALUE'         / Bitmask bit name                               MSKVAL16=                 8575 / Bitmask bit value                              MSKNAM17= 'MARK.VALUE'         / Bitmask bit name                               MSKVAL17=                32768 / Bitmask bit value                              MSKNUM  =                   18 / Bitmask bit count                              HIERARCH FPA.OBS = 'STARGRASP' / Observation identifier                         HIERARCH FPA.TELESCOPE = 'PS1     ' / Telescope of origin                       HIERARCH FPA.INSTRUMENT = 'GPC1    ' / Instrument name (according to the instrumHIERARCH FPA.DETECTOR = 'GPC1    ' / Detector name                              HIERARCH FPA.COMMENT = 'DM3PI z QW+10 ps1_01_5475 visit 1' / Observation commentHIERARCH FPA.OBS.MODE = '3PI     ' / Observation mode (eg, survey id)           HIERARCH FPA.OBS.GROUP = '        ' / Observation group (eg, associated images) HIERARCH FPA.FOCUS =  -1341.85 / Telescope focus                                AIRMASS =                1.343 / Airmass at boresight                           HIERARCH FPA.FILTERID = 'z.00000 ' / Filter used (parsed, abstract name)        HIERARCH FPA.FILTER = 'z.00000 ' / Filter used (instrument name)                HIERARCH FPA.POSANGLE = 334.7877 / Position angle of instrument                 HIERARCH FPA.ROTANGLE = -150.8917 / Rotator angle of instrument                 HIERARCH FPA.RADECSYS = '2000.000000' / Celestial coordinate system             HIERARCH FPA.RA = '05:38:36.639' / Right Ascension of boresight                 HIERARCH FPA.DEC = '-21:09:33.133' / Declination of boresight                   HIERARCH FPA.LONGITUDE = 10.4170602777931 / West longitude of observatory       HIERARCH FPA.LATITUDE = 20.7070994446013 / Latitude of observatory              HIERARCH FPA.ELEVATION = 3048. / Elevation of observatory (meters)              HIERARCH FPA.OBSTYPE = 'OBJECT  ' / Type of observation                         HIERARCH FPA.OBJECT = 'ps1_01_5475' / Object of observation                     HIERARCH FPA.ALT =   48.067667 / Altitude of boresight                          HIERARCH FPA.AZ =   183.424454 / Azimuth of boresight                           HIERARCH FPA.TEMP =     -80.95 / Temperature of focal plane                     HIERARCH FPA.M1X =          0. / Primary Mirror X Position                      HIERARCH FPA.M1Y =    999.9866 / Primary Mirror Y Position                      HIERARCH FPA.M1Z =   -0.008933 / Primary Mirror Z Position                      HIERARCH FPA.M1TIP = -18.99435 / Primary Mirror TIP                             HIERARCH FPA.M1TILT = -73.99713 / Primary Mirror TILT                           HIERARCH FPA.M2X =    474.9558 / Primary Mirror X Position                      HIERARCH FPA.M2Y =   -690.9139 / Primary Mirror Y Position                      HIERARCH FPA.M2Z =    -1341.85 / Primary Mirror Z Position                      HIERARCH FPA.M2TIP =  44.22855 / Primary Mirror TIP                             HIERARCH FPA.M2TILT = 203.0453 / Primary Mirror TILT                            HIERARCH FPA.ENV.TEMP =    8.8 / Environment: Temperature                       HIERARCH FPA.ENV.HUMID =   4.3 / Environment: Humidity                          HIERARCH FPA.ENV.WIND =    4.1 / Environment: Wind speed                        HIERARCH FPA.ENV.DIR =    264. / Environment: Wind direction                    HIERARCH FPA.TELTEMP.M1 = 9.75 / Telescope Temperatures: M1                     HIERARCH FPA.TELTEMP.M1CELL = 9.3 / Telescope Temperatures: M1 cell             HIERARCH FPA.TELTEMP.M2 = 8.15 / Telescope Temperatures: M2                     HIERARCH FPA.TELTEMP.SPIDER = 8. / Telescope Temperatures: spider               HIERARCH FPA.TELTEMP.TRUSS = 9.05 / Telescope Temperatures: truss               HIERARCH FPA.TELTEMP.EXTRA = 7.75 / Telescope Temperatures: extra               HIERARCH FPA.PON.TIME = 1923767. / Power On Time                                HIERARCH FPA.BURNTOOL.APPLIED = T / [T=applied] Burn streaks applied to image daHIERARCH FPA.ZP =     24.37298 / Magnitude zero point                           HIERARCH CHIP.XSIZE =        0 / Size of chip (pixels)                          HIERARCH CHIP.YSIZE =        0 / Size of chip (pixels)                          HIERARCH CHIP.TEMP = 'NaN     ' / Temperature of chip                           HIERARCH CHIP.ID = '        '  / Chip identifier                                HIERARCH CHIP.SEEING = 'NaN     ' / Seeing FWHM (pixels)                        HIERARCH CELL.GAIN =  1.019088 / CCD gain (e/count)                             HIERARCH CELL.READNOISE = 5.843155 / CCD read noise (e)                         HIERARCH CELL.SATURATION = 19500. / Saturation level (counts)                   HIERARCH CELL.BAD =      -100. / Bad level (counts)                             EXPTIME =                  30. / Exposure time (sec)                            HIERARCH CELL.DARKTIME = 40.2412 / Time since flush (sec)                       HIERARCH CELL.XBIN =         1 / Binning in x                                   HIERARCH CELL.YBIN =         1 / Binning in y                                   MJD-OBS =     55252.2461947272 / Time of exposure                               HIERARCH CELL.XSIZE =        0 / Size of cell (pixels)                          HIERARCH CELL.YSIZE =        0 / Size of cell (pixels)                          HIERARCH CELL.XWINDOW =      0 / Start of cell window (pixels)                  HIERARCH CELL.YWINDOW =      0 / Start of cell window (pixels)                  HIERARCH CELL.TRIMSEC = '[1:6192,1:6173]' / Trim section                        HIERARCH CELL.BIASSEC = ''                                                      PS_COVAR=                    T / Is a covariance matrix present?                HIERARCH PSVERSION = 'pmSubtractionIO.c,v  1.9.18.1  2009-02-19 17:59:50 ' / S/WBZERO   =   0.000000000000E+00 / Scaling: TRUE = BZERO + BSCALE * DISK          BSCALE  =   1.000000000000E+00 / Scaling: TRUE = BZERO + BSCALE * DISK          EXTNAME = 'SUBTRACTION_KERNEL_IMAGE'                                            END                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             %HÐ@&áãÕ(U­0)©×	*⊘+ý™,í†-¹ÓV.r$Œ/Ò /häù/šõ³/ÃýÆ/®‰ú/UJD.6/I®ŸGµ®ýp®ÝnŸ®( ®
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