| [2356] | 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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| [2360] | 15 | def setPolList( self, pollist ):
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| 16 | self.gridder._setpollist( pollist )
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| 17 |
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| [2356] | 18 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ):
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| 19 | self.gridder._defineimage( nx, ny, cellx, celly, center )
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| 20 |
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| 21 | def setOption( self, convType='box', convSupport=-1 ):
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| 22 | self.gridder._setoption( convType, convSupport )
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| 23 |
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| [2361] | 24 | def setWeight( self, weightType='uniform' ):
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| 25 | self.gridder._setweight( weightType )
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| 26 |
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| [2356] | 27 | def grid( self ):
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| 28 | self.gridder._grid()
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| 29 |
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| 30 | def save( self, outfile='' ):
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| 31 | self.outfile = self.gridder._save( outfile )
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| 32 |
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| [2360] | 33 | def plot( self, plotchan=-1, plotpol=-1 ):
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| [2356] | 34 | plotter = _SDGridPlotter( self.infile, self.outfile )
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| [2360] | 35 | plotter.plot( chan=plotchan, pol=plotpol )
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| [2356] | 36 |
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| 37 | class _SDGridPlotter:
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| 38 | def __init__( self, infile, outfile=None ):
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| 39 | self.infile = infile
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| 40 | self.outfile = outfile
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| 41 | if self.outfile is None:
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| 42 | self.outfile = self.infile.rstrip('/')+'.grid'
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| 43 | self.grid = None
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| 44 | self.pointing = None
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| 45 | self.data = None
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| 46 | self.nx = -1
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| 47 | self.ny = -1
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| 48 | self.nchan = 0
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| [2360] | 49 | self.npol = 0
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| 50 | self.pollist = []
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| [2356] | 51 | self.cellx = 0.0
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| 52 | self.celly = 0.0
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| 53 | self.center = [0.0,0.0]
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| 54 | self.nonzero = [[0.0],[0.0]]
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| 55 | self.get()
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| 56 |
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| 57 | def get( self ):
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| 58 | s = scantable( self.infile, average=False )
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| 59 | self.pointing = numpy.array( s.get_directionval() ).transpose()
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| 60 | spectra = []
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| 61 | for i in xrange(s.nrow()):
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| 62 | spectra.append( s._getspectrum( i ) )
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| 63 | spectra = numpy.array( spectra ).transpose()
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| 64 | self.nchan = spectra.shape[0]
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| 65 | del s
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| 66 |
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| 67 | s = scantable( self.outfile, average=False )
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| 68 | nrow = s.nrow()
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| [2360] | 69 | pols = numpy.ones( nrow, dtype=int )
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| [2356] | 70 | for i in xrange(nrow):
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| [2360] | 71 | pols[i] = s.getpol(i)
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| 72 | self.pollist, indices = numpy.unique( pols, return_inverse=True )
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| 73 | self.npol = len(self.pollist)
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| 74 | self.pollist = self.pollist[indices[:self.npol]]
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| 75 | #print 'pollist=',self.pollist
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| 76 | #print 'npol=',self.npol
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| 77 | #print 'nrow=',nrow
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| 78 | dirstring = numpy.array(s.get_direction()).take(range(0,nrow,self.npol))
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| 79 | self.grid = numpy.array( s.get_directionval() ).take(range(0,nrow,self.npol),axis=0).transpose()
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| 80 | spectra = numpy.zeros( (self.npol,self.nchan,nrow/self.npol), dtype=float )
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| 81 | irow = 0
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| 82 | for i in xrange(nrow/self.npol):
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| 83 | for ip in xrange(self.npol):
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| 84 | spectra[ip,:,i] = s._getspectrum( irow )
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| 85 | irow += 1
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| [2356] | 86 |
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| 87 | idx = 0
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| 88 | d0 = dirstring[0].split()[-1]
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| 89 | while ( dirstring[idx].split()[-1] == d0 ):
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| 90 | idx += 1
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| 91 | self.ny = idx
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| [2360] | 92 | self.nx = nrow / (self.npol * idx )
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| 93 | #print 'nx,ny=',self.nx,self.ny
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| [2356] | 94 |
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| 95 | self.cellx = abs( self.grid[0][0] - self.grid[0][1] )
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| 96 | self.celly = abs( self.grid[1][0] - self.grid[1][self.ny] )
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| [2360] | 97 | #print 'cellx,celly=',self.cellx,self.celly
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| [2356] | 98 |
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| [2360] | 99 | self.data = spectra.reshape( (self.npol,self.nchan,self.nx,self.ny) )
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| [2356] | 100 |
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| [2360] | 101 | def plot( self, chan=-1, pol=-1 ):
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| 102 | if pol < 0:
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| [2356] | 103 | data = self.data.mean(axis=0)
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| [2360] | 104 | opt = 'averaged over pol'
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| [2356] | 105 | else:
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| [2360] | 106 | idx = self.pollist.tolist().index( pol )
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| 107 | #print 'idx=',idx
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| 108 | data = self.data[idx]
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| 109 | opt = 'pol %s'%(pol)
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| 110 | if chan < 0:
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| 111 | data = data.mean(axis=0)
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| 112 | opt += ', averaged over channel'
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| 113 | else:
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| 114 | data = data[chan]
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| 115 | opt += ', channel %s'%(chan)
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| 116 | title = 'Gridded Image (%s)'%(opt)
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| [2356] | 117 | pl.figure(10)
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| 118 | pl.clf()
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| 119 | pl.plot(self.grid[0],self.grid[1],'.',color='blue')
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| 120 | pl.plot(self.pointing[0],self.pointing[1],'.',color='red')
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| 121 | extent=[self.grid[0].min()-0.5*self.cellx,
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| 122 | self.grid[0].max()+0.5*self.cellx,
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| 123 | self.grid[1].min()-0.5*self.celly,
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| 124 | self.grid[1].max()+0.5*self.celly]
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| 125 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest')
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| 126 | pl.colorbar()
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| 127 | pl.xlabel('R.A. [rad]')
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| 128 | pl.ylabel('Dec. [rad]')
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| [2358] | 129 | pl.title( title )
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