| 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=-1 ):
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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.nx = -1
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| 65 | self.ny = -1
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| 66 | self.nchan = 0
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| 67 | self.npol = 0
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| 68 | self.pollist = []
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| 69 | self.cellx = 0.0
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| 70 | self.celly = 0.0
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| 71 | self.center = [0.0,0.0]
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| 72 | self.nonzero = [[0.0],[0.0]]
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| 73 | self.ifno = ifno
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| 74 | self.tablein = None
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| 75 | self.nrow = 0
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| 76 | self.blc = None
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| 77 | self.trc = None
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| 78 | self.get()
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| 79 |
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| 80 | def get( self ):
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| 81 | self.tablein = scantable( self.infile, average=False )
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| 82 | if self.ifno < 0:
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| 83 | ifno = self.tablein.getif(0)
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| 84 | print 'ifno=',ifno
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| 85 | else:
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| 86 | ifno = self.ifno
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| 87 | sel = selector()
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| 88 | sel.set_ifs( ifno )
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| 89 | self.tablein.set_selection( sel )
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| 90 | self.nchan = len(self.tablein._getspectrum(0))
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| 91 | self.nrow = self.tablein.nrow()
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| 92 | del sel
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| 93 |
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| 94 | s = scantable( self.outfile, average=False )
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| 95 | nrow = s.nrow()
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| 96 | pols = numpy.ones( nrow, dtype=int )
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| 97 | for i in xrange(nrow):
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| 98 | pols[i] = s.getpol(i)
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| 99 | self.pollist, indices = numpy.unique( pols, return_inverse=True )
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| 100 | self.npol = len(self.pollist)
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| 101 | self.pollist = self.pollist[indices[:self.npol]]
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| 102 | #print 'pollist=',self.pollist
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| 103 | #print 'npol=',self.npol
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| 104 | #print 'nrow=',nrow
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| 105 |
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| 106 | idx = 0
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| 107 | d0 = s.get_direction( 0 ).split()[-1]
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| 108 | while ( s.get_direction(self.npol*idx).split()[-1] == d0 ):
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| 109 | idx += 1
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| 110 |
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| 111 | self.nx = idx
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| 112 | self.ny = nrow / (self.npol * idx )
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| 113 | #print 'nx,ny=',self.nx,self.ny
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| 114 |
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| 115 | self.blc = s.get_directionval( 0 )
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| 116 | self.trc = s.get_directionval( nrow-self.npol )
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| 117 | #print self.blc
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| 118 | #print self.trc
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| 119 | incrx = s.get_directionval( self.npol )
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| 120 | incry = s.get_directionval( self.nx*self.npol )
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| 121 | self.cellx = abs( self.blc[0] - incrx[0] )
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| 122 | self.celly = abs( self.blc[1] - incry[1] )
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| 123 | #print 'cellx,celly=',self.cellx,self.celly
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| 124 |
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| 125 | def plot( self, chan=-1, pol=-1 ):
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| 126 | if pol < 0:
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| 127 | opt = 'averaged over pol'
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| 128 | else:
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| 129 | opt = 'pol %s'%(pol)
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| 130 | if chan < 0:
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| 131 | opt += ', averaged over channel'
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| 132 | else:
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| 133 | opt += ', channel %s'%(chan)
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| 134 | data = self.getData( chan, pol )
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| 135 | title = 'Gridded Image (%s)'%(opt)
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| 136 | pl.figure(10)
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| 137 | pl.clf()
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| 138 | # plot grid position
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| 139 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float)
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| 140 | #print 'len(x)=',len(x)
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| 141 | #print 'x=',x
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| 142 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1]
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| 143 | #print 'len(ybase)=',len(ybase)
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| 144 | incr = self.celly
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| 145 | for iy in xrange(self.ny):
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| 146 | y = ybase + iy * incr
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| 147 | #print y
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| 148 | pl.plot(x,y,',',color='blue')
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| 149 | # plot observed position
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| 150 | irow = 0
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| 151 | while ( irow < self.nrow ):
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| 152 | chunk = self.getPointingChunk( irow )
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| 153 | #print chunk
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| 154 | pl.plot(chunk[0],chunk[1],',',color='green')
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| 155 | irow += chunk.shape[1]
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| 156 | #print irow
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| 157 | # show image
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| 158 | extent=[self.blc[0]-0.5*self.cellx,
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| 159 | self.trc[0]+0.5*self.cellx,
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| 160 | self.blc[1]-0.5*self.celly,
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| 161 | self.trc[1]+0.5*self.celly]
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| 162 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest')
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| 163 | pl.colorbar()
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| 164 | pl.xlabel('R.A. [rad]')
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| 165 | pl.ylabel('Dec. [rad]')
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| 166 | pl.title( title )
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| 167 |
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| 168 | def getPointingChunk( self, irow ):
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| 169 | numchunk = 1000
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| 170 | nrow = min( self.nrow-irow, numchunk )
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| 171 | #print 'nrow=',nrow
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| 172 | v = numpy.zeros( (2,nrow), dtype=float )
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| 173 | idx = 0
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| 174 | for i in xrange(irow,irow+nrow):
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| 175 | d = self.tablein.get_directionval( i )
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| 176 | v[0,idx] = d[0]
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| 177 | v[1,idx] = d[1]
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| 178 | idx += 1
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| 179 | return v
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| 180 |
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| 181 | def getData( self, chan=-1, pol=-1 ):
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| 182 | if chan == -1:
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| 183 | spectra = self.__chanAverage()
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| 184 | else:
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| 185 | spectra = self.__chanIndex( chan )
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| 186 | data = spectra.reshape( (self.npol,self.ny,self.nx) )
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| 187 | if pol == -1:
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| 188 | retval = data.mean(axis=0)
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| 189 | else:
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| 190 | retval = data[pol]
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| 191 | #retval[0][self.nx-1] = -1.0
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| 192 | return retval
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| 193 |
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| 194 | def __chanAverage( self ):
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| 195 | s = scantable( self.outfile, average=False )
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| 196 | nrow = s.nrow()
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| 197 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
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| 198 | irow = 0
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| 199 | sp = [0 for i in xrange(self.nchan)]
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| 200 | for i in xrange(nrow/self.npol):
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| 201 | for ip in xrange(self.npol):
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| 202 | sp = s._getspectrum( irow )
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| 203 | spectra[ip,i] = numpy.mean( sp )
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| 204 | irow += 1
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| 205 | return spectra
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| 206 |
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| 207 | def __chanIndex( self, idx ):
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| 208 | s = scantable( self.outfile, average=False )
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| 209 | nrow = s.nrow()
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| 210 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
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| 211 | irow = 0
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| 212 | sp = [0 for i in xrange(self.nchan)]
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| 213 | for i in xrange(nrow/self.npol):
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| 214 | for ip in xrange(self.npol):
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| 215 | sp = s._getspectrum( irow )
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| 216 | spectra[ip,i] = sp[idx]
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| 217 | irow += 1
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| 218 | return spectra
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| 219 |
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| 220 |
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