[3] | 1 | #include <iostream> |
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| 2 | #include <iomanip> |
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[98] | 3 | #include <math.h> |
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[3] | 4 | #include <ATrous/atrous.hh> |
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[74] | 5 | #include <Utils/utils.hh> |
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[3] | 6 | #include <param.hh> |
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| 7 | |
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[86] | 8 | void baselineSubtract(long numSpec, long specLength, float *originalCube, |
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| 9 | float *baselineValues, Param &par) |
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[3] | 10 | { |
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| 11 | /** |
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[86] | 12 | * baselineSubtract(long numSpec, long specLength, float *originalCube, |
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| 13 | * float *baselineValues, Param &par) |
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[3] | 14 | * |
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[86] | 15 | * A routine to find the baseline of spectra in a cube (spectral direction |
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| 16 | * assumed to be the third dimension) and subtract it off the original. |
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| 17 | * The original cube has numSpec spatial pixels, each containing a spectrum |
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| 18 | * of length specLength. |
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[3] | 19 | * The original cube is read in, and returned with the baseline removed. |
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| 20 | * This baseline is stored in the array baselineValues. |
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| 21 | * The Param variable par is needed to test for blank pixels -- these are kept as blank. |
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| 22 | */ |
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| 23 | extern Filter reconFilter; |
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| 24 | float *spec = new float[specLength]; |
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| 25 | float *thisBaseline = new float[specLength]; |
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| 26 | int minscale = par.getMinScale(); |
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| 27 | par.setMinScale(reconFilter.getNumScales(specLength)); |
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| 28 | float atrouscut = par.getAtrousCut(); |
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| 29 | par.setAtrousCut(1); |
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| 30 | bool flagVerb = par.isVerbose(); |
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| 31 | par.setVerbosity(false); |
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| 32 | |
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| 33 | std::cout << "| |" << std::flush; |
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| 34 | for(int pix=0; pix<numSpec; pix++){ // for each spatial pixel... |
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| 35 | |
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| 36 | if(flagVerb && ((100*(pix+1)/numSpec)%5 == 0) ){ |
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| 37 | std::cout << "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b|"; |
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| 38 | for(int i=0;i<(100*(pix+1)/numSpec)/5;i++) std::cout << "#"; |
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| 39 | for(int i=(100*(pix+1)/numSpec)/5;i<20;i++) std::cout << " "; |
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| 40 | std::cout << "|" << std::flush; |
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| 41 | } |
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| 42 | |
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| 43 | for(int z=0; z<specLength; z++) |
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| 44 | spec[z] = originalCube[z*numSpec + pix]; |
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| 45 | |
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| 46 | atrous1DReconstruct(specLength,spec,thisBaseline,par); |
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| 47 | |
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| 48 | for(int z=0; z<specLength; z++) { |
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| 49 | baselineValues[z*numSpec+pix] = thisBaseline[z]; |
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| 50 | if(!par.isBlank(originalCube[z*numSpec+pix])) |
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| 51 | originalCube[z*numSpec+pix] = originalCube[z*numSpec+pix] - baselineValues[z*numSpec+pix]; |
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| 52 | } |
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| 53 | |
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| 54 | } |
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| 55 | if(flagVerb) std::cout << "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b"; |
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| 56 | |
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| 57 | par.setMinScale(minscale); |
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| 58 | par.setAtrousCut(atrouscut); |
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| 59 | par.setVerbosity(flagVerb); |
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| 60 | |
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| 61 | delete [] spec; |
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| 62 | delete [] thisBaseline; |
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| 63 | |
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| 64 | } |
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| 65 | |
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[43] | 66 | void getBaseline(long size, float *input, float *baseline, Param &par) |
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| 67 | { |
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| 68 | /** |
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| 69 | * getBaseline(long size, float *input, float *baseline, Param &par) |
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| 70 | * A function to find the baseline of an input (1-D) spectrum. |
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| 71 | * Uses the a trous reconstruction, keeping only the highest two scales, to |
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| 72 | * reconstruct the baseline. |
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| 73 | * To avoid contamination by very strong signals, the input spectrum is trimmed |
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| 74 | * at 8*MADFM above the median before reconstruction. This reduces the strong |
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| 75 | * dips created by the presence of very strong signals. |
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| 76 | * The baseline array is returned -- no change is made to the input array. |
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| 77 | */ |
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[3] | 78 | |
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[43] | 79 | extern Filter reconFilter; |
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| 80 | int minscale = par.getMinScale(); |
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| 81 | par.setMinScale(reconFilter.getNumScales(size)); |
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| 82 | float atrouscut = par.getAtrousCut(); |
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| 83 | par.setAtrousCut(1); |
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| 84 | bool flagVerb = par.isVerbose(); |
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| 85 | par.setVerbosity(false); |
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| 86 | |
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| 87 | float *spec = new float[size]; |
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| 88 | float med,sig; |
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| 89 | findMedianStats(input,size,med,sig); |
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| 90 | float threshold = 8. * sig; |
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| 91 | for(int i=0;i<size;i++) { |
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| 92 | if(fabsf(input[i]-med)>threshold){ |
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| 93 | if(input[i]>med) spec[i] = med + threshold; |
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| 94 | else spec[i] = med - threshold; |
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| 95 | } |
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| 96 | else spec[i] = input[i]; |
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| 97 | } |
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| 98 | |
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| 99 | // atrous1DReconstruct(size, input, baseline, par); |
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| 100 | atrous1DReconstruct(size, spec, baseline, par); |
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| 101 | |
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| 102 | par.setMinScale(minscale); |
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| 103 | par.setAtrousCut(atrouscut); |
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| 104 | par.setVerbosity(flagVerb); |
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| 105 | |
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| 106 | delete [] spec; |
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| 107 | |
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| 108 | } |
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| 109 | |
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| 110 | |
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[74] | 111 | void getBaseline(long size, float *input, float *baseline) |
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[3] | 112 | { |
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| 113 | /** |
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[74] | 114 | * getBaseline(long size, float *input, float *baseline) |
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| 115 | * A function to find the baseline of an input (1-D) spectrum. |
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| 116 | * This version is designed for programs not using Param classes -- it keeps |
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| 117 | * that side of things hidden from the user. |
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| 118 | * Uses the a trous reconstruction, keeping only the highest two scales, to |
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| 119 | * reconstruct the baseline. |
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| 120 | * To avoid contamination by very strong signals, the input spectrum is trimmed |
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| 121 | * at 8*MADFM above the median before reconstruction. This reduces the strong |
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| 122 | * dips created by the presence of very strong signals. |
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| 123 | * The baseline array is returned -- no change is made to the input array. |
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[3] | 124 | */ |
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| 125 | |
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[74] | 126 | extern Filter reconFilter; |
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| 127 | Param par; |
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| 128 | par.setMinScale(reconFilter.getNumScales(size)); |
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| 129 | par.setAtrousCut(1); |
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| 130 | par.setVerbosity(false); |
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[43] | 131 | |
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[74] | 132 | float *spec = new float[size]; |
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| 133 | float med,sig; |
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| 134 | findMedianStats(input,size,med,sig); |
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| 135 | float threshold = 8. * sig; |
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| 136 | for(int i=0;i<size;i++) { |
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| 137 | if(fabsf(input[i]-med)>threshold){ |
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| 138 | if(input[i]>med) spec[i] = med + threshold; |
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| 139 | else spec[i] = med - threshold; |
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[43] | 140 | } |
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[74] | 141 | else spec[i] = input[i]; |
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| 142 | } |
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[43] | 143 | |
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[74] | 144 | atrous1DReconstruct(size, spec, baseline, par); |
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[43] | 145 | |
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[74] | 146 | delete [] spec; |
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[43] | 147 | |
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[3] | 148 | } |
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| 149 | |
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