1 | #!/bin/env python |
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2 | # coding: utf-8 |
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3 | |
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4 | # Calcul du dépointage à partir d'images du collimateur |
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5 | # Frederic.Meynadier@aerov.jussieu.fr Janvier 2008 |
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6 | |
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7 | |
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8 | import params |
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9 | |
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10 | import pyfits |
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11 | from optparse import OptionParser |
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12 | import sys |
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13 | |
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14 | from numpy import * |
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15 | from math import * |
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16 | |
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17 | from fitgaussian import * |
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18 | |
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19 | VERSION='0.0' |
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20 | |
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21 | label = sys.argv[1] |
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22 | |
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23 | (ref,img,liste_points,sh_guess) = params.pset(label) |
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24 | |
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25 | |
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26 | sh_guess = array(sh_guess) |
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27 | |
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28 | size=128 |
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29 | subsize=size/2 |
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30 | |
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31 | for point in liste_points : |
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32 | limites = [size,2048-size] |
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33 | target = array(point) + sh_guess |
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34 | print target |
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35 | if (target[0] < limites[0] or target[0] > limites[1]\ |
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36 | or target[1] < limites[0] or target[1] > limites[1]): |
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37 | print "Point ",point," hors cadre dans l'image destination" |
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38 | sys.exit(1) |
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39 | |
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40 | cor_list = [] |
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41 | for coords in liste_points : |
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42 | |
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43 | tgt_ref=array(coords) |
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44 | tgt_img = tgt_ref + sh_guess |
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45 | |
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46 | |
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47 | |
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48 | |
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49 | ## parser = OptionParser() |
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50 | ## parser.add_option("-i","--input",dest="InputFilename", |
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51 | ## help="Input filename", metavar="RAWIMAGE") |
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52 | ## parser.add_option("-o","--output",dest="OutputFilename", |
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53 | ## help="Output Filename", metavar="FITSIMAGE") |
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54 | |
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55 | #(options, args) = parser.parse_args () |
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56 | |
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57 | |
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58 | # Ouverture de l'image de référence |
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59 | refhdulist = pyfits.open(ref) |
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60 | refdata = array(refhdulist[0].data[tgt_ref[1]-size/2:tgt_ref[1]+size/2,\ |
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61 | tgt_ref[0]-size/2:tgt_ref[0]+size/2]) |
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62 | refhdulist[0].data = refdata |
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63 | refhdulist.writeto('ref'+str(len(cor_list))+'.fits',clobber=True) |
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64 | |
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65 | |
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66 | # Ouverture de l'image à mesurer |
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67 | |
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68 | imghdulist = pyfits.open(img) |
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69 | imgdata = imghdulist[0].data[tgt_img[1]-subsize/2:tgt_img[1]+subsize/2,\ |
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70 | tgt_img[0]-subsize/2:tgt_img[0]+subsize/2] |
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71 | |
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72 | imghdulist[0].data = imgdata |
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73 | imghdulist.writeto('img'+str(len(cor_list))+'.fits',clobber=True) |
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74 | |
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75 | # Etablissement de la carte de corrélation |
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76 | |
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77 | corsize = size-subsize+1 |
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78 | |
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79 | cordata = zeros([corsize,corsize]) |
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80 | |
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81 | motif = sqrt(sum(sum(imgdata*imgdata))) |
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82 | |
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83 | for i in range(corsize): |
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84 | for j in range(corsize): |
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85 | refpart = refdata[i:i+subsize,j:j+subsize] |
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86 | cordata[i,j] = \ |
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87 | sum(sum( imgdata * refpart))\ |
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88 | / (motif * sqrt(sum(sum(refpart*refpart)))) |
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89 | |
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90 | |
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91 | cor_list.append(cordata) |
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92 | |
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93 | refhdulist[0].data = cordata |
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94 | prihdr = refhdulist[0].header |
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95 | |
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96 | prihdr.update('CRPIX1',(corsize-1)/2,'crpix1') |
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97 | prihdr.update('CRPIX2',(corsize-1)/2,'crpix2') |
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98 | prihdr.update('CRVAL1',sh_guess[0],'crval1') |
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99 | prihdr.update('CRVAL2',sh_guess[1],'crval2') |
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100 | prihdr.update('CDELT1',-1.0,'crdelt1') |
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101 | prihdr.update('CDELT2',-1.0,'crdelt2') |
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102 | prihdr.update('CROTA1',0.0,'crota1') |
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103 | prihdr.update('CROTA2',0.0,'crota2') |
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104 | prihdr.update('CTYPE1',' ','ctype1') |
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105 | prihdr.update('CTYPE2',' ','ctype2') |
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106 | |
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107 | |
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108 | refhdulist.writeto('cor'+str(len(cor_list)-1)+'.fits',clobber=True) |
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109 | |
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110 | |
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111 | |
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112 | cor_prod = cor_list[0] |
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113 | |
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114 | for i in range(1,len(cor_list)): |
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115 | cor_prod *= cor_list[i] |
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116 | |
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117 | |
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118 | refhdulist[0].data = cor_prod |
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119 | prihdr = refhdulist[0].header |
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120 | |
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121 | crpix1 = (corsize-1)/2 |
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122 | crpix2 = (corsize-1)/2 |
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123 | crval1 = sh_guess[0]+1 |
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124 | crval2 = sh_guess[1]+1 |
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125 | cdelt1 = -1.0 |
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126 | cdelt2 = -1.0 |
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127 | |
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128 | prihdr.update('CRPIX1',crpix1,'crpix1') |
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129 | prihdr.update('CRPIX2',crpix2,'crpix2') |
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130 | prihdr.update('CRVAL1',crval1,'crval1') |
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131 | prihdr.update('CRVAL2',crval2,'crval2') |
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132 | prihdr.update('CDELT1',cdelt1,'crdelt1') |
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133 | prihdr.update('CDELT2',cdelt2,'crdelt2') |
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134 | prihdr.update('CROTA1',0.0,'crota1') |
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135 | prihdr.update('CROTA2',0.0,'crota2') |
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136 | prihdr.update('CTYPE1',' ','ctype1') |
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137 | prihdr.update('CTYPE2',' ','ctype2') |
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138 | |
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139 | |
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140 | refhdulist.writeto('cor_prod.fits',clobber=True) |
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141 | |
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142 | refhdulist.close() |
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143 | imghdulist.close() |
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144 | |
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145 | # On cherche le maximum du tableau -> passage en 1D |
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146 | lin_max = argmax(cor_prod.ravel()) |
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147 | x_max = lin_max % corsize |
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148 | y_max = floor(lin_max / corsize) |
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149 | #print "Pixel max :",(int(x_max),int(y_max)) |
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150 | #print "Décalage (entier) correspondant : (%d,%d)" %\ |
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151 | # (int((x_max-crpix1)*cdelt1+crval1-1), |
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152 | # int((y_max-crpix2)*cdelt2+crval2-1)) |
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153 | |
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154 | # On cherche le centroïde (bloc 2*(npfit)+1**2) |
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155 | npfit = 1 |
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156 | |
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157 | |
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158 | bloc = cor_prod[y_max-npfit:y_max+npfit+1, |
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159 | x_max-npfit:x_max+npfit+1] |
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160 | bloc = bloc - min(bloc.ravel()) |
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161 | |
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162 | og = array([0.0,0.0]) |
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163 | |
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164 | for i in range(2*npfit+1): |
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165 | for j in range(2*npfit+1): |
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166 | vec = array([j+1,i+1]) |
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167 | og += vec*bloc[i,j] |
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168 | |
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169 | og /= sum(sum(bloc)) |
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170 | og -=1 |
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171 | |
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172 | |
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173 | print "ref :",ref |
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174 | print "img :",img |
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175 | |
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176 | #print "Centroïde en : %f %f" % (og[0]+x_max,og[1]+y_max) |
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177 | print "Décalage centroïde : %f %f" % (((og[0]+x_max)-crpix1)*cdelt1+crval1, |
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178 | ((og[1]+y_max)-crpix2)*cdelt2+crval2) |
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179 | |
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180 | |
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181 | params = fitgaussian(bloc) |
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182 | fit = gaussian(*params) |
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183 | (height, x, y, width_x, width_y) = params |
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184 | print "Décalage gaussienne : %f %f" % (((x+x_max)-crpix1)*cdelt1+crval1, |
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185 | ((y+y_max)-crpix2)*cdelt2+crval2) |
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186 | |
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