1 | import numpy
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2 | from asap.scantable import scantable
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3 | from asap._asap import stgrid
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4 | import pylab as pl
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5 |
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6 | class asapgrid:
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7 | def __init__( self, infile ):
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8 | self.infile = infile
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9 | self.outfile = None
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10 | self.gridder = stgrid( self.infile )
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11 |
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12 | def setData( self, infile ):
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13 | self.gridder._setin( infile )
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14 |
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15 | def setIF( self, ifno ):
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16 | self.gridder._setif( ifno )
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17 |
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18 | def setPolList( self, pollist ):
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19 | self.gridder._setpollist( pollist )
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20 |
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21 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ):
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22 | self.gridder._defineimage( nx, ny, cellx, celly, center )
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23 |
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24 | def setOption( self, convType='box', width=-1 ):
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25 | self.gridder._setoption( convType, width )
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26 |
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27 | def setWeight( self, weightType='uniform' ):
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28 | self.gridder._setweight( weightType )
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29 |
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30 | def grid( self ):
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31 | self.gridder._grid()
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32 |
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33 | def save( self, outfile='' ):
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34 | self.outfile = self.gridder._save( outfile )
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35 |
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36 | def plot( self, plotchan=-1, plotpol=-1 ):
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37 | plotter = _SDGridPlotter( self.infile, self.outfile )
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38 | plotter.plot( chan=plotchan, pol=plotpol )
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39 |
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40 | class _SDGridPlotter:
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41 | def __init__( self, infile, outfile=None ):
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42 | self.infile = infile
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43 | self.outfile = outfile
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44 | if self.outfile is None:
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45 | self.outfile = self.infile.rstrip('/')+'.grid'
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46 | self.grid = None
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47 | self.pointing = None
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48 | self.data = None
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49 | self.nx = -1
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50 | self.ny = -1
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51 | self.nchan = 0
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52 | self.npol = 0
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53 | self.pollist = []
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54 | self.cellx = 0.0
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55 | self.celly = 0.0
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56 | self.center = [0.0,0.0]
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57 | self.nonzero = [[0.0],[0.0]]
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58 | self.get()
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59 |
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60 | def get( self ):
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61 | s = scantable( self.infile, average=False )
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62 | self.pointing = numpy.array( s.get_directionval() ).transpose()
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63 | spectra = []
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64 | for i in xrange(s.nrow()):
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65 | spectra.append( s._getspectrum( i ) )
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66 | spectra = numpy.array( spectra ).transpose()
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67 | self.nchan = spectra.shape[0]
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68 | del s
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69 |
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70 | s = scantable( self.outfile, average=False )
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71 | nrow = s.nrow()
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72 | pols = numpy.ones( nrow, dtype=int )
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73 | for i in xrange(nrow):
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74 | pols[i] = s.getpol(i)
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75 | self.pollist, indices = numpy.unique( pols, return_inverse=True )
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76 | self.npol = len(self.pollist)
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77 | self.pollist = self.pollist[indices[:self.npol]]
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78 | #print 'pollist=',self.pollist
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79 | #print 'npol=',self.npol
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80 | #print 'nrow=',nrow
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81 | dirstring = numpy.array(s.get_direction()).take(range(0,nrow,self.npol))
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82 | self.grid = numpy.array( s.get_directionval() ).take(range(0,nrow,self.npol),axis=0).transpose()
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83 | spectra = numpy.zeros( (self.npol,self.nchan,nrow/self.npol), dtype=float )
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84 | irow = 0
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85 | for i in xrange(nrow/self.npol):
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86 | for ip in xrange(self.npol):
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87 | spectra[ip,:,i] = s._getspectrum( irow )
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88 | irow += 1
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89 |
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90 | idx = 0
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91 | d0 = dirstring[0].split()[-1]
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92 | while ( dirstring[idx].split()[-1] == d0 ):
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93 | idx += 1
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94 | self.ny = idx
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95 | self.nx = nrow / (self.npol * idx )
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96 | #print 'nx,ny=',self.nx,self.ny
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97 |
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98 | self.cellx = abs( self.grid[0][0] - self.grid[0][1] )
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99 | self.celly = abs( self.grid[1][0] - self.grid[1][self.ny] )
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100 | #print 'cellx,celly=',self.cellx,self.celly
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101 |
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102 | self.data = spectra.reshape( (self.npol,self.nchan,self.nx,self.ny) )
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103 |
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104 | def plot( self, chan=-1, pol=-1 ):
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105 | if pol < 0:
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106 | data = self.data.mean(axis=0)
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107 | opt = 'averaged over pol'
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108 | else:
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109 | idx = self.pollist.tolist().index( pol )
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110 | #print 'idx=',idx
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111 | data = self.data[idx]
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112 | opt = 'pol %s'%(pol)
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113 | if chan < 0:
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114 | data = data.mean(axis=0)
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115 | opt += ', averaged over channel'
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116 | else:
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117 | data = data[chan]
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118 | opt += ', channel %s'%(chan)
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119 | title = 'Gridded Image (%s)'%(opt)
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120 | pl.figure(10)
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121 | pl.clf()
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122 | pl.plot(self.grid[0],self.grid[1],'.',color='blue')
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123 | pl.plot(self.pointing[0],self.pointing[1],'.',color='red')
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124 | extent=[self.grid[0].min()-0.5*self.cellx,
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125 | self.grid[0].max()+0.5*self.cellx,
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126 | self.grid[1].min()-0.5*self.celly,
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127 | self.grid[1].max()+0.5*self.celly]
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128 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest')
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129 | pl.colorbar()
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130 | pl.xlabel('R.A. [rad]')
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131 | pl.ylabel('Dec. [rad]')
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132 | pl.title( title )
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