1 | import numpy
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2 | from asap import rcParams
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3 | from asap.scantable import scantable
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4 | from asap.selector import selector
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5 | from asap._asap import stgrid
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6 | import pylab as pl
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7 | from logging import asaplog
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8 |
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9 | class asapgrid:
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10 | def __init__( self, infile ):
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11 | self.infile = infile
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12 | self.outfile = None
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13 | self.gridder = stgrid( self.infile )
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14 | self.ifno = None
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15 |
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16 | def setData( self, infile ):
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17 | self.gridder._setin( infile )
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18 |
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19 | def setIF( self, ifno ):
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20 | self.ifno = ifno
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21 | self.gridder._setif( self.ifno )
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22 |
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23 | def setPolList( self, pollist ):
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24 | self.gridder._setpollist( pollist )
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25 |
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26 | def setScanList( self, scanlist ):
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27 | self.gridder._setscanlist( scanlist )
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28 |
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29 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ):
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30 | self.gridder._defineimage( nx, ny, cellx, celly, center )
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31 |
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32 | def setFunc( self, func='box', width=-1 ):
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33 | self.gridder._setfunc( func, width )
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34 |
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35 | def setWeight( self, weightType='uniform' ):
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36 | self.gridder._setweight( weightType )
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37 |
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38 | def grid( self ):
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39 | self.gridder._grid()
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40 |
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41 | def save( self, outfile='' ):
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42 | self.outfile = self.gridder._save( outfile )
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43 |
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44 | def plot( self, plotchan=-1, plotpol=-1 ):
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45 | import time
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46 | t0=time.time()
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47 | # to load scantable on disk
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48 | storg = rcParams['scantable.storage']
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49 | rcParams['scantable.storage'] = 'disk'
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50 | plotter = _SDGridPlotter( self.infile, self.outfile, self.ifno )
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51 | plotter.plot( chan=plotchan, pol=plotpol )
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52 | # back to original setup
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53 | rcParams['scantable.storage'] = storg
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54 | t1=time.time()
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55 | asaplog.push('plot: elapsed time %s sec'%(t1-t0))
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56 | asaplog.post('DEBUG','asapgrid.plot')
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57 |
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58 | class _SDGridPlotter:
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59 | def __init__( self, infile, outfile=None, ifno=0 ):
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60 | self.infile = infile
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61 | self.outfile = outfile
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62 | if self.outfile is None:
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63 | self.outfile = self.infile.rstrip('/')+'.grid'
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64 | self.grid = None
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65 | self.pointing = None
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66 | self.nx = -1
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67 | self.ny = -1
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68 | self.nchan = 0
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69 | self.npol = 0
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70 | self.pollist = []
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71 | self.cellx = 0.0
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72 | self.celly = 0.0
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73 | self.center = [0.0,0.0]
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74 | self.nonzero = [[0.0],[0.0]]
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75 | self.ifno = ifno
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76 | self.get()
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77 |
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78 | def get( self ):
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79 | s = scantable( self.infile, average=False )
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80 | sel = selector()
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81 | sel.set_ifs( self.ifno )
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82 | s.set_selection( sel )
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83 | self.pointing = numpy.array( s.get_directionval() ).transpose()
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84 | self.nchan = len(s._getspectrum(0))
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85 | s.set_selection()
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86 | del s
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87 | del sel
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88 |
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89 | s = scantable( self.outfile, average=False )
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90 | nrow = s.nrow()
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91 | pols = numpy.ones( nrow, dtype=int )
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92 | for i in xrange(nrow):
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93 | pols[i] = s.getpol(i)
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94 | self.pollist, indices = numpy.unique( pols, return_inverse=True )
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95 | self.npol = len(self.pollist)
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96 | self.pollist = self.pollist[indices[:self.npol]]
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97 | #print 'pollist=',self.pollist
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98 | #print 'npol=',self.npol
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99 | #print 'nrow=',nrow
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100 | dirstring = numpy.array(s.get_direction()).take(range(0,nrow,self.npol))
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101 | self.grid = numpy.array( s.get_directionval() ).take(range(0,nrow,self.npol),axis=0).transpose()
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102 |
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103 | idx = 0
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104 | d0 = dirstring[0].split()[-1]
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105 | while ( dirstring[idx].split()[-1] == d0 ):
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106 | idx += 1
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107 |
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108 | self.ny = idx
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109 | self.nx = nrow / (self.npol * idx )
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110 | #print 'nx,ny=',self.nx,self.ny
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111 |
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112 | self.cellx = abs( self.grid[0][0] - self.grid[0][1] )
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113 | self.celly = abs( self.grid[1][0] - self.grid[1][self.ny] )
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114 | #print 'cellx,celly=',self.cellx,self.celly
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115 |
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116 | def plot( self, chan=-1, pol=-1 ):
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117 | if pol < 0:
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118 | opt = 'averaged over pol'
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119 | else:
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120 | opt = 'pol %s'%(pol)
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121 | if chan < 0:
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122 | opt += ', averaged over channel'
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123 | else:
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124 | opt += ', channel %s'%(chan)
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125 | data = self.getData( chan, pol )
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126 | title = 'Gridded Image (%s)'%(opt)
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127 | pl.figure(10)
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128 | pl.clf()
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129 | pl.plot(self.grid[0],self.grid[1],',',color='blue')
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130 | pl.plot(self.pointing[0],self.pointing[1],',',color='green')
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131 | extent=[self.grid[0].min()-0.5*self.cellx,
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132 | self.grid[0].max()+0.5*self.cellx,
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133 | self.grid[1].min()-0.5*self.celly,
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134 | self.grid[1].max()+0.5*self.celly]
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135 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest')
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136 | pl.colorbar()
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137 | pl.xlabel('R.A. [rad]')
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138 | pl.ylabel('Dec. [rad]')
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139 | pl.title( title )
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140 |
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141 | def getData( self, chan=-1, pol=-1 ):
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142 | if chan == -1:
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143 | spectra = self.__chanAverage()
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144 | else:
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145 | spectra = self.__chanIndex( chan )
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146 | data = spectra.reshape( (self.npol,self.nx,self.ny) )
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147 | if pol == -1:
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148 | retval = data.mean(axis=0)
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149 | else:
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150 | retval = data[pol]
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151 | return retval
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152 |
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153 | def __chanAverage( self ):
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154 | s = scantable( self.outfile, average=False )
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155 | nrow = self.nx * self.ny
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156 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
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157 | irow = 0
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158 | sp = [0 for i in xrange(self.nchan)]
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159 | for i in xrange(nrow/self.npol):
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160 | for ip in xrange(self.npol):
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161 | sp = s._getspectrum( irow )
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162 | spectra[ip,i] = numpy.mean( sp )
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163 | irow += 1
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164 | return spectra
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165 |
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166 | def __chanIndex( self, idx ):
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167 | s = scantable( self.outfile, average=False )
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168 | nrow = self.nx * self.ny
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169 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
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170 | irow = 0
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171 | sp = [0 for i in xrange(self.nchan)]
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172 | for i in xrange(nrow/self.npol):
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173 | for ip in xrange(self.npol):
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174 | sp = s._getspectrum( irow )
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175 | spectra[ip,i] = sp[idx]
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176 | irow += 1
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177 | return spectra
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178 |
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179 |
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