[299] | 1 | // ----------------------------------------------------------------------- |
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| 2 | // cubes.hh: Definitions of the DataArray, Cube and Image classes. |
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| 3 | // ----------------------------------------------------------------------- |
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| 4 | // Copyright (C) 2006, Matthew Whiting, ATNF |
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| 5 | // |
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| 6 | // This program is free software; you can redistribute it and/or modify it |
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| 7 | // under the terms of the GNU General Public License as published by the |
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| 8 | // Free Software Foundation; either version 2 of the License, or (at your |
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| 9 | // option) any later version. |
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| 10 | // |
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| 11 | // Duchamp is distributed in the hope that it will be useful, but WITHOUT |
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| 12 | // ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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| 13 | // FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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| 14 | // for more details. |
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| 15 | // |
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| 16 | // You should have received a copy of the GNU General Public License |
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| 17 | // along with Duchamp; if not, write to the Free Software Foundation, |
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| 18 | // Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA |
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| 19 | // |
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| 20 | // Correspondence concerning Duchamp may be directed to: |
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| 21 | // Internet email: Matthew.Whiting [at] atnf.csiro.au |
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| 22 | // Postal address: Dr. Matthew Whiting |
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| 23 | // Australia Telescope National Facility, CSIRO |
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| 24 | // PO Box 76 |
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| 25 | // Epping NSW 1710 |
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| 26 | // AUSTRALIA |
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| 27 | // ----------------------------------------------------------------------- |
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[3] | 28 | #ifndef CUBES_H |
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| 29 | #define CUBES_H |
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| 30 | |
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| 31 | #include <iostream> |
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| 32 | #include <string> |
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| 33 | #include <vector> |
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| 34 | |
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[459] | 35 | #include <duchamp/duchamp.hh> |
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[393] | 36 | #include <duchamp/param.hh> |
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| 37 | #include <duchamp/fitsHeader.hh> |
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| 38 | #include <duchamp/Detection/detection.hh> |
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| 39 | #include <duchamp/Detection/columns.hh> |
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| 40 | #include <duchamp/Cubes/plots.hh> |
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| 41 | #include <duchamp/Utils/Statistics.hh> |
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| 42 | #include <duchamp/PixelMap/Scan.hh> |
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| 43 | #include <duchamp/PixelMap/Object2D.hh> |
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[3] | 44 | |
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| 45 | |
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[378] | 46 | namespace duchamp |
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| 47 | { |
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[290] | 48 | |
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| 49 | |
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[528] | 50 | /// @brief Search a reconstructed array for significant detections. |
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[884] | 51 | std::vector <Detection> searchReconArray(size_t *dim, float *originalArray, float *reconArray, |
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[686] | 52 | Param &par, Statistics::StatsContainer<float> &stats); |
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[884] | 53 | std::vector <Detection> searchReconArraySpectral(size_t *dim, float *originalArray, float *reconArray, |
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[686] | 54 | Param &par, Statistics::StatsContainer<float> &stats); |
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[884] | 55 | std::vector <Detection> searchReconArraySpatial(size_t *dim, float *originalArray, float *reconArray, |
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[686] | 56 | Param &par, Statistics::StatsContainer<float> &stats); |
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[3] | 57 | |
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[528] | 58 | /// @brief Search a 3-dimensional array for significant detections. |
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[884] | 59 | std::vector <Detection> search3DArray(size_t *dim, float *Array, Param &par, |
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[686] | 60 | Statistics::StatsContainer<float> &stats); |
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[884] | 61 | std::vector <Detection> search3DArraySpectral(size_t *dim, float *Array, Param &par, |
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[686] | 62 | Statistics::StatsContainer<float> &stats); |
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[884] | 63 | std::vector <Detection> search3DArraySpatial(size_t *dim, float *Array, Param &par, |
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[686] | 64 | Statistics::StatsContainer<float> &stats); |
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[220] | 65 | |
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[528] | 66 | //========================================================================= |
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[220] | 67 | |
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[899] | 68 | /// An enumeration allowing us to refer to a particular array within functions |
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| 69 | enum ARRAYREF {ARRAY=0, RECON, BASELINE}; |
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| 70 | |
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| 71 | |
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[528] | 72 | /// @brief Base class for the image container. |
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| 73 | /// |
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| 74 | /// @details Definition of an n-dimensional data array: array of |
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| 75 | /// pixel values, size & dimensions array of Detection objects |
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| 76 | |
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[378] | 77 | class DataArray |
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| 78 | { |
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| 79 | public: |
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| 80 | DataArray(); ///< Basic DataArray constructor |
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| 81 | DataArray(short int nDim); ///< Basic nDim-dimensional DataArray constructor |
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[884] | 82 | DataArray(short int nDim, size_t size);///< Basic nDim-dimensional DataArray constructor, specifying size. |
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| 83 | DataArray(short int nDim, size_t *dimensions); ///< Basic nDim-dimensional DataArray constructor, specifying size of dimensions. |
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[378] | 84 | virtual ~DataArray(); ///< Basic DataArray constructor |
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[736] | 85 | DataArray(const DataArray &d); |
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| 86 | DataArray& operator=(const DataArray &d); |
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[222] | 87 | |
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[378] | 88 | //----------------------------------------- |
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| 89 | // Obvious inline accessor functions. |
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| 90 | // |
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[884] | 91 | size_t getDimX(){if(numDim>0) return axisDim[0];else return 0;}; |
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| 92 | size_t getDimY(){if(numDim>1) return axisDim[1];else return 1;}; |
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| 93 | size_t getDimZ(){if(numDim>2) return axisDim[2];else return 1;}; |
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| 94 | size_t getSize(){ return numPixels; }; |
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[378] | 95 | short int getNumDim(){ return numDim; }; |
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[884] | 96 | virtual float getPixValue(size_t pos){ return array[pos]; }; |
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| 97 | virtual void setPixValue(size_t pos, float f){array[pos] = f;}; |
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| 98 | Detection getObject(size_t number){ return objectList->at(number); }; |
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| 99 | Detection * pObject(size_t number){ return &(objectList->at(number));}; |
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[378] | 100 | std::vector <Detection> getObjectList(){ return *objectList; }; |
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[387] | 101 | std::vector <Detection> *pObjectList(){ return objectList; }; |
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| 102 | std::vector <Detection> &ObjectList(){ std::vector<Detection> &rlist = *objectList; return rlist; }; |
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[884] | 103 | size_t getNumObj(){ return objectList->size(); }; |
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[222] | 104 | |
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[528] | 105 | /// @brief Delete all objects from the list of detections. |
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[378] | 106 | void clearDetectionList(){ |
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| 107 | //objectList->clear(); |
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| 108 | delete objectList; |
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| 109 | objectList = new std::vector<Detection>; |
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| 110 | }; |
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[220] | 111 | |
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[528] | 112 | /// @brief Read a parameter set from file. |
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[700] | 113 | OUTCOME readParam(std::string paramfile){ |
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[528] | 114 | /// @brief |
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[531] | 115 | /// Uses Param::readParams() to read parameters from a file. |
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| 116 | /// \param paramfile The file to be read. |
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[528] | 117 | |
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[378] | 118 | return par.readParams(paramfile); |
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| 119 | }; |
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[222] | 120 | |
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[378] | 121 | //----------------------------------------- |
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| 122 | // Related to the various arrays |
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| 123 | // |
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[528] | 124 | /// @brief Return first three dimensional axes. |
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[884] | 125 | void getDim(size_t &x, size_t &y, size_t &z); |
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[528] | 126 | /// @brief Return array of dimensional sizes. |
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[884] | 127 | void getDimArray(size_t *output); |
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| 128 | size_t * getDimArray(){return axisDim;}; |
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[222] | 129 | |
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[528] | 130 | /// @brief Return pixel value array. |
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[378] | 131 | void getArray(float *output); |
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| 132 | float * getArray(){return array;}; |
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[220] | 133 | |
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[528] | 134 | /// @brief Save pixel value array. |
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[884] | 135 | virtual void saveArray(float *input, size_t size); |
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[258] | 136 | |
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[378] | 137 | //----------------------------------------- |
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| 138 | // Related to the object lists |
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| 139 | // |
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[528] | 140 | /// @brief Adds a single detection to the object list. |
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[378] | 141 | void addObject(Detection object); |
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[222] | 142 | |
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[528] | 143 | /// @brief Adds all objects in a detection list to the object list. |
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[378] | 144 | void addObjectList(std::vector <Detection> newlist); |
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[220] | 145 | |
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[528] | 146 | /// @brief Add pixel offsets to object coordinates. |
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[378] | 147 | void addObjectOffsets(); |
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[3] | 148 | |
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[378] | 149 | //----------------------------------------- |
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| 150 | // Parameter list related. |
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| 151 | // |
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[528] | 152 | /// @brief Output the Param set. |
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[378] | 153 | void showParam(std::ostream &stream){ stream << par; }; |
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[528] | 154 | /// @brief Return the Param set. |
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[378] | 155 | Param getParam(){ return par; }; |
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[528] | 156 | /// @brief Save a Param set to the Cube. |
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[378] | 157 | void saveParam(Param &newpar){par = newpar;}; |
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[528] | 158 | /// @brief Provides a reference to the Param set. |
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[378] | 159 | Param& pars(){ Param &rpar = par; return rpar; }; |
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[528] | 160 | /// @brief Is the voxel number given by vox a BLANK value? |
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[741] | 161 | bool isBlank(int vox){return par.isBlank(array[vox]);}; |
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[378] | 162 | |
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| 163 | // -------------------------------------------- |
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| 164 | // Statistics |
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| 165 | // |
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[528] | 166 | /// @brief Returns the StatsContainer. |
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[378] | 167 | Statistics::StatsContainer<float> getStats(){ return Stats; }; |
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| 168 | |
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[528] | 169 | /// @brief Provides a reference to the StatsContainer. |
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[378] | 170 | Statistics::StatsContainer<float>& stats(){ |
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| 171 | Statistics::StatsContainer<float> &rstats = Stats; return rstats; |
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| 172 | }; |
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[258] | 173 | |
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[528] | 174 | /// @brief Save a StatsContainer to the Cube. |
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[378] | 175 | void saveStats(Statistics::StatsContainer<float> newStats){ Stats = newStats;}; |
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[190] | 176 | |
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[528] | 177 | /// @brief A detection test for value. |
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[378] | 178 | bool isDetection(float value); |
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[222] | 179 | |
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[528] | 180 | /// @brief A detection test for pixel. |
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[884] | 181 | bool isDetection(size_t voxel); |
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[222] | 182 | |
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| 183 | |
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[528] | 184 | /// @brief Output operator for DataArray. |
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[378] | 185 | friend std::ostream& operator<< (std::ostream& theStream, DataArray &array); |
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[222] | 186 | |
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[3] | 187 | |
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[378] | 188 | protected: |
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| 189 | short int numDim; ///< Number of dimensions. |
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[884] | 190 | size_t *axisDim; ///< Array of axis dimensions of cube |
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[443] | 191 | bool axisDimAllocated; ///< has axisDim been allocated? |
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[884] | 192 | size_t numPixels; ///< Total number of pixels in cube. |
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[378] | 193 | float *array; ///< Array of data. |
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[444] | 194 | bool arrayAllocated; ///< has the array been allocated? |
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[378] | 195 | std::vector <Detection> *objectList; ///< The list of detected objects. |
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| 196 | Param par; ///< A parameter list. |
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| 197 | Statistics::StatsContainer<float> Stats; ///< The statistics for the DataArray. |
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| 198 | }; |
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[3] | 199 | |
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[220] | 200 | |
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| 201 | |
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[378] | 202 | //========================================================================= |
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[220] | 203 | |
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[528] | 204 | /// @brief Definition of an data-cube object (3D): |
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| 205 | /// a DataArray object limited to dim=3 |
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[3] | 206 | |
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[378] | 207 | class Cube : public DataArray |
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| 208 | { |
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| 209 | public: |
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| 210 | Cube(); ///< Basic Cube constructor. |
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[884] | 211 | Cube(size_t nPix); ///< Alternative Cube constructor. |
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| 212 | Cube(size_t *dimensions); ///< Alternative Cube constructor. |
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[378] | 213 | virtual ~Cube(); ///< Basic Cube destructor. |
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[736] | 214 | Cube(const Cube &c); ///< Copy constructor |
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| 215 | Cube& operator=(const Cube &c); ///< Copy operator |
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[3] | 216 | |
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[877] | 217 | /// @brief Return a Cube holding only a subsection of the original |
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[878] | 218 | Cube* slice(Section subsection); |
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[877] | 219 | |
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| 220 | |
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| 221 | |
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[513] | 222 | bool is2D(); |
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| 223 | void checkDim(){head.set2D(is2D());}; |
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[758] | 224 | void reportMemorySize(std::ostream &theStream, bool allocateArrays); |
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[513] | 225 | |
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[378] | 226 | // INLINE functions -- definitions included after class declaration. |
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[528] | 227 | /// @brief Is the voxel number given by vox a BLANK value? |
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[884] | 228 | bool isBlank(size_t vox){ return par.isBlank(array[vox]); }; |
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[3] | 229 | |
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[528] | 230 | /// @brief Is the voxel at (x,y,z) a BLANK value? |
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[884] | 231 | bool isBlank(size_t x, size_t y, size_t z){ |
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[378] | 232 | return par.isBlank(array[z*axisDim[0]*axisDim[1] + y*axisDim[0] + x]); }; |
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[222] | 233 | |
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[528] | 234 | /// @brief Return a bool array masking blank pixels: 1=good, 0=blank |
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[463] | 235 | bool * makeBlankMask(){return par.makeBlankMask(array, numPixels);}; |
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| 236 | |
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[528] | 237 | /// @brief Does the Cube::recon array exist? |
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[378] | 238 | bool isRecon(){ return reconExists; }; |
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[222] | 239 | |
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[884] | 240 | float getPixValue(size_t pos){ return array[pos]; }; |
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| 241 | float getPixValue(size_t x, size_t y, size_t z){ |
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[378] | 242 | return array[z*axisDim[0]*axisDim[1] + y*axisDim[0] + x]; }; |
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[884] | 243 | short getDetectMapValue(size_t pos){ return detectMap[pos]; }; |
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| 244 | short getDetectMapValue(size_t x, size_t y){ return detectMap[y*axisDim[0]+x]; }; |
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| 245 | float getReconValue(size_t pos){ return recon[pos]; }; |
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| 246 | float getReconValue(size_t x, size_t y, size_t z){ |
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[378] | 247 | return recon[z*axisDim[0]*axisDim[1] + y*axisDim[0] + x];}; |
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[884] | 248 | float getBaselineValue(size_t pos){ return baseline[pos]; }; |
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| 249 | float getBaselineValue(size_t x, size_t y, size_t z){ |
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[378] | 250 | return baseline[z*axisDim[0]*axisDim[1] + y*axisDim[0] + x]; }; |
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[884] | 251 | void setPixValue(size_t pos, float f){array[pos] = f;}; |
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| 252 | void setPixValue(size_t x, size_t y, size_t z, float f){ |
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[378] | 253 | array[z*axisDim[0]*axisDim[1] + y*axisDim[0] + x] = f;}; |
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[884] | 254 | void setDetectMapValue(size_t pos, short f){ detectMap[pos] = f;}; |
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| 255 | void setDetectMapValue(size_t x, size_t y, short f){ detectMap[y*axisDim[0] + x] = f;}; |
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| 256 | void incrementDetectMap(size_t x, size_t y){detectMap[y*axisDim[0]+x]++;}; |
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| 257 | void incrementDetectMap(size_t pos){detectMap[pos]++;}; |
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| 258 | void setReconValue(size_t pos, float f){recon[pos] = f;}; |
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| 259 | void setReconValue(size_t x, size_t y, size_t z, float f){ |
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[378] | 260 | recon[z*axisDim[0]*axisDim[1] + y*axisDim[0] + x] = f; }; |
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| 261 | void setReconFlag(bool f){reconExists = f;}; |
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[222] | 262 | |
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[378] | 263 | std::vector<Column::Col> getLogCols(){return logCols;}; |
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| 264 | void setLogCols(std::vector<Column::Col> C){logCols=C;}; |
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| 265 | std::vector<Column::Col> getFullCols(){return fullCols;}; |
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| 266 | void setFullCols(std::vector<Column::Col> C){fullCols=C;}; |
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[222] | 267 | |
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[378] | 268 | // additional functions -- in Cubes/cubes.cc |
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[528] | 269 | /// @brief Allocate memory correctly, with WCS defining the correct axes. |
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[884] | 270 | OUTCOME initialiseCube(size_t *dimensions, bool allocateArrays=true); |
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[679] | 271 | OUTCOME initialiseCube(long *dimensions, bool allocateArrays=true); |
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[222] | 272 | |
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[528] | 273 | /// @brief Read in a FITS file, with subsection correction. |
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[698] | 274 | OUTCOME getCube(); |
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[528] | 275 | /// @brief Read in a FITS file, with subsection correction. |
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[698] | 276 | OUTCOME getMetadata(); |
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[222] | 277 | |
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[528] | 278 | /// @brief Read in command-line options. |
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[378] | 279 | // int getopts(int argc, char ** argv); |
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[474] | 280 | int getopts(int argc, char ** argv, std::string progname="Duchamp"){return par.getopts(argc,argv,progname);}; |
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[222] | 281 | |
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[528] | 282 | /// @brief Read in reconstructed & smoothed arrays from FITS files on disk. |
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[378] | 283 | void readSavedArrays(); |
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[222] | 284 | |
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[528] | 285 | /// @brief Save an external array to the Cube's pixel array |
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[884] | 286 | void saveArray(float *input, size_t size); |
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[222] | 287 | |
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[528] | 288 | /// @brief Save an external array to the Cube's pixel array |
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[491] | 289 | void saveArray(std::vector<float> &input); |
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| 290 | |
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[528] | 291 | /// @brief Save an external array to the Cube's reconstructed array. |
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[884] | 292 | void saveRecon(float *input, size_t size); |
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[222] | 293 | |
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[528] | 294 | /// @brief Save reconstructed array to an external array. |
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[378] | 295 | void getRecon(float *output); |
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[387] | 296 | float * getRecon(){return recon; }; |
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[222] | 297 | |
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[528] | 298 | /// @brief Set Milky Way channels to zero. |
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[378] | 299 | void removeMW(); |
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[222] | 300 | |
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[378] | 301 | //------------------------ |
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| 302 | // Statistics for cube |
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| 303 | // |
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[222] | 304 | |
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[528] | 305 | /// @brief Calculate the statistics for the Cube (older version). |
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[378] | 306 | void setCubeStatsOld(); |
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[222] | 307 | |
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[528] | 308 | /// @brief Calculate the statistics for the Cube. |
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[378] | 309 | void setCubeStats(); |
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[222] | 310 | |
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[528] | 311 | /// @brief Set up thresholds for the False Discovery Rate routine. |
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[378] | 312 | void setupFDR(); |
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[531] | 313 | /// @brief Set up thresholds for the False Discovery Rate routine using a particular array. |
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[378] | 314 | void setupFDR(float *input); |
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[222] | 315 | |
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[528] | 316 | /// @brief A detection test for a given voxel. |
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[884] | 317 | bool isDetection(size_t x, size_t y, size_t z); |
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[222] | 318 | |
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[378] | 319 | //----------------------------- |
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| 320 | // Dealing with the detections |
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| 321 | // |
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[659] | 322 | |
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| 323 | /// @brief Get the set of voxels pertaining to the detected objects. |
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| 324 | std::vector< std::vector<PixelInfo::Voxel> > getObjVoxList(); |
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[222] | 325 | |
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[528] | 326 | /// @brief Calculate the object fluxes |
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[420] | 327 | void calcObjectFluxes(); |
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| 328 | |
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[528] | 329 | /// @brief Calculate the WCS parameters for each Cube Detection. |
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[378] | 330 | void calcObjectWCSparams(); |
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[528] | 331 | /// @brief Calculate the WCS parameters for each Cube Detection, using flux information in Voxels. |
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[418] | 332 | void calcObjectWCSparams(std::vector< std::vector<PixelInfo::Voxel> > bigVoxList); |
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[863] | 333 | void calcObjectWCSparams(std::map<PixelInfo::Voxel,float> &voxelMap); |
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| 334 | |
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[528] | 335 | /// @brief Sort the list of detections. |
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[378] | 336 | void sortDetections(); |
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[222] | 337 | |
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[528] | 338 | /// @brief Update the map of detected pixels. |
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[378] | 339 | void updateDetectMap(); |
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[222] | 340 | |
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[528] | 341 | /// @brief Update the map of detected pixels for a given Detection. |
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[378] | 342 | void updateDetectMap(Detection obj); |
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[222] | 343 | |
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[528] | 344 | /// @brief Clear the map of detected pixels. |
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[378] | 345 | void clearDetectMap(){ |
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[884] | 346 | for(size_t i=0;i<axisDim[0]*axisDim[1];i++) detectMap[i]=0; |
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[378] | 347 | }; |
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[290] | 348 | |
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[528] | 349 | /// @brief Find the flux enclosed by a Detection. |
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[378] | 350 | float enclosedFlux(Detection obj); |
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[222] | 351 | |
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[531] | 352 | /// @brief Set up the output column definitions for the Cube and its Detection list. |
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[378] | 353 | void setupColumns(); |
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[222] | 354 | |
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[528] | 355 | /// @brief Is the object at the edge of the image? |
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[378] | 356 | bool objAtSpatialEdge(Detection obj); |
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[222] | 357 | |
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[528] | 358 | /// @brief Is the object at an end of the spectrum? |
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[378] | 359 | bool objAtSpectralEdge(Detection obj); |
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[222] | 360 | |
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[960] | 361 | /// @brief Is the object next to the MW range? |
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| 362 | bool objNextToMW(Detection obj); |
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| 363 | |
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[528] | 364 | /// @brief Set warning flags for the detections. |
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[378] | 365 | void setObjectFlags(); |
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[222] | 366 | |
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[378] | 367 | // ---------------------------- |
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| 368 | // Dealing with the WCS |
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| 369 | // |
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[528] | 370 | /// @brief Return the FitsHeader object. |
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[378] | 371 | FitsHeader getHead(){ return head; }; |
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[528] | 372 | /// @brief Define the FitsHeader object. |
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[378] | 373 | void setHead(FitsHeader F){head = F;}; |
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[528] | 374 | /// @brief Provide a reference to the FitsHeader object. |
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[378] | 375 | FitsHeader& header(){ FitsHeader &h = head; return h; }; |
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[3] | 376 | |
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[378] | 377 | //------------------------------------------- |
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| 378 | // FITS-I/O related functions -- not in cubes.cc |
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| 379 | // |
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[528] | 380 | /// @brief Function to read in FITS file. |
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[698] | 381 | OUTCOME getMetadata(std::string fname); // in Cubes/getImage.cc |
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| 382 | OUTCOME getCube(std::string fname); // in Cubes/getImage.cc |
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[3] | 383 | |
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[528] | 384 | /// @brief Convert the flux units to something user-specified. |
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[899] | 385 | void convertFluxUnits(std::string oldUnit, std::string newUnit, ARRAYREF whichArray=ARRAY); // in Cubes/getImage.cc |
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[434] | 386 | |
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[528] | 387 | /// @brief Function to retrieve FITS data array |
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[698] | 388 | OUTCOME getFITSdata(std::string fname); // in FitsIO/dataIO.cc |
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[971] | 389 | OUTCOME getFITSdata(); // in FitsIO/dataIO.cc |
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| 390 | OUTCOME getFITSdata(fitsfile *fptr); // in FitsIO/dataIO.cc |
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[222] | 391 | |
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[902] | 392 | OUTCOME writeBasicHeader(fitsfile *fptr, int bitpix, bool is2D=false); |
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[900] | 393 | |
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[670] | 394 | /// @brief Save the moment map to a FITS file |
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[695] | 395 | OUTCOME saveMomentMapImage(); |
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[670] | 396 | |
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[528] | 397 | /// @brief Save a mask array to disk. |
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[695] | 398 | OUTCOME saveMaskCube(); // in Cubes/saveImage.cc |
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[379] | 399 | |
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[528] | 400 | /// @brief Save Smoothed array to disk. |
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[695] | 401 | OUTCOME saveSmoothedCube(); // in Cubes/saveImage.cc |
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[258] | 402 | |
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[528] | 403 | /// @brief Save Reconstructed array to disk. |
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[695] | 404 | OUTCOME saveReconstructedCube(); // in Cubes/saveImage.cc |
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[222] | 405 | |
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[528] | 406 | /// @brief Read in reconstructed array from FITS file. |
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[698] | 407 | OUTCOME readReconCube(); // in Cubes/readRecon.cc |
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[222] | 408 | |
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[528] | 409 | /// @brief Read in Hanning-smoothed array from FITS file. |
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[698] | 410 | OUTCOME readSmoothCube(); // in Cubes/readSmooth.cc |
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[222] | 411 | |
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[378] | 412 | //------------------------------------- |
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| 413 | // Functions that act on the cube |
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| 414 | // |
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[3] | 415 | |
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[528] | 416 | /// @brief Remove excess BLANK pixels from spatial edge of cube. |
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[378] | 417 | void trimCube(); // in Cubes/trimImage.cc |
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[222] | 418 | |
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[528] | 419 | /// @brief Replace BLANK pixels to spatial edge of cube. |
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[378] | 420 | void unTrimCube(); // in Cubes/trimImage.cc |
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[222] | 421 | |
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[528] | 422 | /// @brief Removes the baselines from the spectra, and stores in Cube::baseline |
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[378] | 423 | void removeBaseline(); // in Cubes/baseline.cc |
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[222] | 424 | |
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[528] | 425 | /// @brief Replace the baselines stored in Cube::baseline |
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[378] | 426 | void replaceBaseline(); // in Cubes/baseline.cc |
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[222] | 427 | |
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[528] | 428 | /// @brief Multiply all pixel values by -1. |
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[378] | 429 | void invert(); // in Cubes/invertCube.cc |
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[222] | 430 | |
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[528] | 431 | /// @brief Undo the inversion, and invert fluxes of all detected objects. |
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[378] | 432 | void reInvert(); // in Cubes/invertCube.cc |
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[222] | 433 | |
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[378] | 434 | //------------------------------------- |
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| 435 | // Reconstruction, Searching and Merging functions |
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| 436 | // |
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[729] | 437 | // in cubes.cc |
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| 438 | /// @brief A front-end to all the searching functions |
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[834] | 439 | void Search(); |
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[729] | 440 | |
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[378] | 441 | // in ATrous/ReconSearch.cc |
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[528] | 442 | /// @brief Front-end to reconstruction & searching functions. |
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[378] | 443 | void ReconSearch(); |
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[528] | 444 | /// @brief Switcher to reconstruction functions |
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[378] | 445 | void ReconCube(); |
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[528] | 446 | /// @brief Performs 1-dimensional a trous reconstruction on the Cube. |
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[378] | 447 | void ReconCube1D(); |
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[528] | 448 | /// @brief Performs 2-dimensional a trous reconstruction on the Cube. |
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[378] | 449 | void ReconCube2D(); |
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[528] | 450 | /// @brief Performs 3-dimensional a trous reconstruction on the Cube. |
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[378] | 451 | void ReconCube3D(); |
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[222] | 452 | |
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[378] | 453 | // in Cubes/CubicSearch.cc |
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[528] | 454 | /// @brief Front-end to the cubic searching routine. |
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[378] | 455 | void CubicSearch(); |
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[222] | 456 | |
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[378] | 457 | // in Cubes/smoothCube.cc |
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[528] | 458 | /// @brief Smooth the cube with the requested method. |
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[378] | 459 | void SmoothCube(); |
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[528] | 460 | /// @brief Front-end to the smoothing and searching functions. |
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[378] | 461 | void SmoothSearch(); |
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[528] | 462 | /// @brief A function to spatially smooth the cube and search the result. |
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[378] | 463 | void SpatialSmoothNSearch(); |
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[528] | 464 | /// @brief A function to Hanning-smooth the cube. |
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[378] | 465 | void SpectralSmooth(); |
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[528] | 466 | /// @brief A function to spatially-smooth the cube. |
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[378] | 467 | void SpatialSmooth(); |
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[222] | 468 | |
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[378] | 469 | void Simple3DSearch(){ |
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[528] | 470 | /// @brief Basic front-end to the simple 3d searching function -- does |
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| 471 | /// nothing more. |
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| 472 | /// |
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| 473 | /// @details This function just runs the search3DArraySimple function, |
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| 474 | /// storing the results in the Cube::objectList vector. No stats |
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| 475 | /// are calculated beforehand, and no logging or detection map |
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| 476 | /// updating is done. |
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[686] | 477 | *objectList = search3DArray(axisDim,array,par,Stats); |
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[378] | 478 | }; |
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[290] | 479 | |
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[378] | 480 | void Simple3DSearchRecon(){ |
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[528] | 481 | /// @brief Basic front-end to the 3d searching function used in the |
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| 482 | /// reconstruction case -- does nothing more. |
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| 483 | /// |
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| 484 | /// @details This function just runs the searchReconArraySimple |
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| 485 | /// function, storing the results in the Cube::objectList |
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| 486 | /// vector. No stats are calculated beforehand, and no logging |
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| 487 | /// or detection map updating is done. The recon array is |
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| 488 | /// assumed to have been defined already. |
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| 489 | |
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[686] | 490 | *objectList = searchReconArray(axisDim,array,recon,par,Stats); |
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[378] | 491 | }; |
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[290] | 492 | |
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[378] | 493 | void Simple3DSearchSmooth(){ |
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[528] | 494 | /// @brief Basic front-end to the simple 3d searching function |
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| 495 | /// run on the smoothed array -- does nothing more. |
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| 496 | /// |
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| 497 | /// @details This function just runs the search3DArraySimple |
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| 498 | /// function on the recon array (which contains the smoothed |
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| 499 | /// array), storing the results in the Cube::objectList |
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| 500 | /// vector. No stats are calculated beforehand, and no logging |
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| 501 | /// or detection map updating is done. The recon array is |
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| 502 | /// assumed to have been defined already. |
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| 503 | |
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[686] | 504 | *objectList = search3DArray(axisDim,recon,par,Stats); |
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[378] | 505 | }; |
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[290] | 506 | |
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[378] | 507 | // in Cubes/Merger.cc |
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[531] | 508 | /// @brief Merge all objects in the detection list so that only distinct ones are left. |
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[378] | 509 | void ObjectMerger(); |
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[103] | 510 | |
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[475] | 511 | // in Cubes/existingDetections.cc |
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[528] | 512 | /// @brief Read a previously-created log file to get the detections without searching |
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[698] | 513 | OUTCOME getExistingDetections(); |
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[475] | 514 | |
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[378] | 515 | //------------------------------------- |
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| 516 | // Text outputting of detected objects. |
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| 517 | // in Cubes/detectionIO.cc |
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| 518 | // |
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[528] | 519 | /// @brief Set up the output file with parameters and stats. |
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[378] | 520 | void prepareOutputFile(); |
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[3] | 521 | |
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[528] | 522 | /// @brief Write the statistical information to the output file. |
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[378] | 523 | void outputStats(); |
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[222] | 524 | |
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[528] | 525 | /// @brief Output detections to the output file and standard output. |
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[378] | 526 | void outputDetectionList(); |
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[222] | 527 | |
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[528] | 528 | /// @brief Prepare the log file for output. |
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[418] | 529 | void prepareLogFile(int argc, char *argv[]); |
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| 530 | |
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[528] | 531 | /// @brief Output detections to the log file. |
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[659] | 532 | void logDetectionList(bool calcFluxes=true); |
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[222] | 533 | |
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[528] | 534 | /// @brief Output a single detection to the log file. |
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[378] | 535 | void logDetection(Detection obj, int counter); |
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[222] | 536 | |
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[528] | 537 | /// @brief Output detections to a Karma annotation file. |
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[378] | 538 | void outputDetectionsKarma(std::ostream &stream); |
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[222] | 539 | |
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[528] | 540 | /// @brief Output detections to a VOTable. |
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[378] | 541 | void outputDetectionsVOTable(std::ostream &stream); |
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[275] | 542 | |
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[668] | 543 | |
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[378] | 544 | // ---------------------------------- |
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[668] | 545 | // Calculation of overall moment maps |
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| 546 | |
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| 547 | /// @brief Return a moment-0 map plus a map of where the object pixels are |
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[946] | 548 | std::vector<bool> getMomentMap(float *momentMap); |
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[668] | 549 | /// @brief Return a moment-0 map formatted for logarithmic greyscale plotting, with greyscale limits |
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[693] | 550 | void getMomentMapForPlot(float *momentMap, float &z1, float &z2); |
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[668] | 551 | |
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| 552 | // ---------------------------------- |
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[378] | 553 | // Graphical plotting of the cube and the detections. |
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| 554 | // |
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| 555 | // in Cubes/plotting.cc |
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[531] | 556 | /// @brief Plot a spatial map of detections based on number of detected channels. |
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[378] | 557 | void plotDetectionMap(std::string pgDestination); |
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[3] | 558 | |
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[531] | 559 | /// @brief Plot a spatial map of detections based on 0th moment map of each object. |
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[378] | 560 | void plotMomentMap(std::string pgDestination); |
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[222] | 561 | |
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[531] | 562 | /// @brief Plot a spatial map of detections based on 0th moment map of each object to a number of PGPLOT devices. |
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[378] | 563 | void plotMomentMap(std::vector<std::string> pgDestination); |
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[222] | 564 | |
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[528] | 565 | /// @brief Draw WCS axes over a PGPLOT map. |
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[581] | 566 | void plotWCSaxes(){duchamp::plotWCSaxes(head.getWCS(),axisDim);}; |
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[222] | 567 | |
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[378] | 568 | // in Cubes/outputSpectra.cc |
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[528] | 569 | /// @brief Print spectra of each detected object. |
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[378] | 570 | void outputSpectra(); |
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[222] | 571 | |
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[528] | 572 | /// @brief Write out text file of all spectra. |
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[424] | 573 | void writeSpectralData(); |
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| 574 | |
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[528] | 575 | /// @brief Print spectrum of a single object |
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[424] | 576 | void plotSpectrum(int objNum, Plot::SpectralPlot &plot); |
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[528] | 577 | /// @brief Plot the image cutout for a single object |
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[378] | 578 | void plotSource(Detection obj, Plot::CutoutPlot &plot); |
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[222] | 579 | |
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[528] | 580 | /// @brief Get the spectral arrays |
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[424] | 581 | void getSpectralArrays(int objNumber, float *specx, float *specy, float *specRecon, float *specBase); |
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| 582 | |
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[378] | 583 | // in Cubes/drawMomentCutout.cc |
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[528] | 584 | /// @brief Draw the 0th moment map for a single object. |
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[378] | 585 | void drawMomentCutout(Detection &object); |
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[220] | 586 | |
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[528] | 587 | /// @brief Draw a scale bar indicating angular size of the cutout. |
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[378] | 588 | void drawScale(float xstart,float ystart,float channel); |
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[222] | 589 | |
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[531] | 590 | /// @brief Draw a yellow line around the edge of the spatial extent of pixels. |
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[378] | 591 | void drawFieldEdge(); |
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[222] | 592 | |
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[378] | 593 | private: |
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[528] | 594 | float *recon; ///< reconstructed array - used when doing a trous reconstruction. |
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| 595 | bool reconExists; ///< flag saying whether there is a reconstruction |
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| 596 | short *detectMap; ///< "moment map" - x,y locations of detected pixels |
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| 597 | float *baseline; ///< array of spectral baseline values. |
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[219] | 598 | |
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[528] | 599 | bool reconAllocated; ///< have we allocated memory for the recon array? |
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| 600 | bool baselineAllocated;///< have we allocated memory for the baseline array? |
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| 601 | FitsHeader head; ///< the WCS and other header information. |
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| 602 | std::vector<Column::Col> fullCols; ///< the list of all columns as printed in the results file |
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| 603 | std::vector<Column::Col> logCols; ///< the list of columns as printed in the log file |
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[205] | 604 | |
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[378] | 605 | }; |
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[103] | 606 | |
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[220] | 607 | |
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[378] | 608 | //============================================================================ |
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[220] | 609 | |
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[528] | 610 | /// @brief A DataArray object limited to two dimensions, and with some additional |
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| 611 | /// special functions. |
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| 612 | /// |
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| 613 | /// @details It is used primarily for searching a 1- or 2-D array with |
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| 614 | /// lutz_detect() and spectrumDetect(). |
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[219] | 615 | |
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[378] | 616 | class Image : public DataArray |
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| 617 | { |
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| 618 | public: |
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[732] | 619 | Image(){numPixels=0; numDim=2; minSize=2;}; |
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[884] | 620 | Image(size_t nPix); |
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| 621 | Image(size_t *dimensions); |
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[378] | 622 | virtual ~Image(){}; |
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[736] | 623 | Image(const Image &i); |
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| 624 | Image& operator=(const Image &i); |
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[219] | 625 | |
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[378] | 626 | //-------------------- |
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| 627 | // Defining the array |
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| 628 | // |
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[528] | 629 | /// @brief Save an external array to the Cube's pixel array |
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[884] | 630 | void saveArray(float *input, size_t size); |
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[222] | 631 | |
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[528] | 632 | /// @brief Extract a spectrum from an array and save to the local pixel array. |
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[884] | 633 | void extractSpectrum(float *Array, size_t *dim, size_t pixel); |
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[222] | 634 | |
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[528] | 635 | /// @brief Extract an image from an array and save to the local pixel array. |
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[884] | 636 | void extractImage(float *Array, size_t *dim, size_t channel); |
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[222] | 637 | |
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[528] | 638 | /// @brief Extract a spectrum from a cube and save to the local pixel array. |
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[884] | 639 | void extractSpectrum(Cube &cube, size_t pixel); |
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[222] | 640 | |
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[528] | 641 | /// @brief Extract an image from a cube and save to the local pixel array. |
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[884] | 642 | void extractImage(Cube &cube, size_t channel); |
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[222] | 643 | |
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[378] | 644 | //-------------------- |
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| 645 | // Accessing the data. |
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| 646 | // |
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[884] | 647 | float getPixValue(size_t pos){ return array[pos]; }; |
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| 648 | float getPixValue(size_t x, size_t y){return array[y*axisDim[0] + x];}; |
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[378] | 649 | // the next few should have checks against array overflow... |
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[884] | 650 | void setPixValue(size_t pos, float f){array[pos] = f;}; |
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| 651 | void setPixValue(size_t x, size_t y, float f){array[y*axisDim[0] + x] = f;}; |
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[378] | 652 | bool isBlank(int vox){return par.isBlank(array[vox]);}; |
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[884] | 653 | bool isBlank(size_t x,size_t y){return par.isBlank(array[y*axisDim[0]+x]);}; |
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[219] | 654 | |
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[378] | 655 | //----------------------- |
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| 656 | // Detection-related |
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| 657 | // |
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[528] | 658 | /// @brief Detect objects in a 2-D image |
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[582] | 659 | std::vector<PixelInfo::Object2D> findSources2D(); |
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[222] | 660 | |
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[528] | 661 | /// @brief Detect objects in a 1-D spectrum |
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[582] | 662 | std::vector<PixelInfo::Scan> findSources1D(); |
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[222] | 663 | |
---|
[577] | 664 | unsigned int getMinSize(){return minSize;}; |
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| 665 | void setMinSize(int i){minSize=i;}; |
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[222] | 666 | |
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[528] | 667 | /// @brief A detection test for a pixel location. |
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[884] | 668 | bool isDetection(size_t x, size_t y){ |
---|
[528] | 669 | /// @details Test whether a pixel (x,y) is a statistically |
---|
| 670 | /// significant detection, according to the set of statistics in |
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| 671 | /// the local StatsContainer object. |
---|
| 672 | |
---|
[884] | 673 | size_t voxel = y*axisDim[0] + x; |
---|
[378] | 674 | if(isBlank(x,y)) return false; |
---|
| 675 | else return Stats.isDetection(array[voxel]); |
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| 676 | }; |
---|
[219] | 677 | |
---|
[528] | 678 | /// @brief Blank out a set of channels marked as being Milky Way channels |
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[378] | 679 | void removeMW(); |
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[258] | 680 | |
---|
[378] | 681 | private: |
---|
[577] | 682 | unsigned int minSize; ///< the minimum number of pixels for a detection to be accepted. |
---|
[378] | 683 | }; |
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[3] | 684 | |
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[219] | 685 | |
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[378] | 686 | } |
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| 687 | |
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[3] | 688 | #endif |
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