| 1 | import numpy |
|---|
| 2 | from asap import rcParams |
|---|
| 3 | from asap.scantable import scantable |
|---|
| 4 | from asap.selector import selector |
|---|
| 5 | from asap._asap import stgrid |
|---|
| 6 | import pylab as pl |
|---|
| 7 | from logging import asaplog |
|---|
| 8 | |
|---|
| 9 | class asapgrid: |
|---|
| 10 | def __init__( self, infile ): |
|---|
| 11 | self.infile = infile |
|---|
| 12 | self.outfile = None |
|---|
| 13 | self.gridder = stgrid( self.infile ) |
|---|
| 14 | self.ifno = None |
|---|
| 15 | |
|---|
| 16 | def setData( self, infile ): |
|---|
| 17 | self.gridder._setin( infile ) |
|---|
| 18 | |
|---|
| 19 | def setIF( self, ifno ): |
|---|
| 20 | self.ifno = ifno |
|---|
| 21 | self.gridder._setif( self.ifno ) |
|---|
| 22 | |
|---|
| 23 | def setPolList( self, pollist ): |
|---|
| 24 | self.gridder._setpollist( pollist ) |
|---|
| 25 | |
|---|
| 26 | def setScanList( self, scanlist ): |
|---|
| 27 | self.gridder._setscanlist( scanlist ) |
|---|
| 28 | |
|---|
| 29 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ): |
|---|
| 30 | self.gridder._defineimage( nx, ny, cellx, celly, center ) |
|---|
| 31 | |
|---|
| 32 | def setFunc( self, func='box', width=-1 ): |
|---|
| 33 | self.gridder._setfunc( func, width ) |
|---|
| 34 | |
|---|
| 35 | def setWeight( self, weightType='uniform' ): |
|---|
| 36 | self.gridder._setweight( weightType ) |
|---|
| 37 | |
|---|
| 38 | def grid( self ): |
|---|
| 39 | self.gridder._grid() |
|---|
| 40 | |
|---|
| 41 | def save( self, outfile='' ): |
|---|
| 42 | self.outfile = self.gridder._save( outfile ) |
|---|
| 43 | |
|---|
| 44 | def plot( self, plotchan=-1, plotpol=-1, plotobs=False, plotgrid=False ): |
|---|
| 45 | import time |
|---|
| 46 | t0=time.time() |
|---|
| 47 | # to load scantable on disk |
|---|
| 48 | storg = rcParams['scantable.storage'] |
|---|
| 49 | rcParams['scantable.storage'] = 'disk' |
|---|
| 50 | plotter = _SDGridPlotter( self.infile, self.outfile, self.ifno ) |
|---|
| 51 | plotter.plot( chan=plotchan, pol=plotpol, plotobs=plotobs, plotgrid=plotgrid ) |
|---|
| 52 | # back to original setup |
|---|
| 53 | rcParams['scantable.storage'] = storg |
|---|
| 54 | t1=time.time() |
|---|
| 55 | asaplog.push('plot: elapsed time %s sec'%(t1-t0)) |
|---|
| 56 | asaplog.post('DEBUG','asapgrid.plot') |
|---|
| 57 | |
|---|
| 58 | class _SDGridPlotter: |
|---|
| 59 | def __init__( self, infile, outfile=None, ifno=-1 ): |
|---|
| 60 | self.infile = infile |
|---|
| 61 | self.outfile = outfile |
|---|
| 62 | if self.outfile is None: |
|---|
| 63 | self.outfile = self.infile.rstrip('/')+'.grid' |
|---|
| 64 | self.nx = -1 |
|---|
| 65 | self.ny = -1 |
|---|
| 66 | self.nchan = 0 |
|---|
| 67 | self.npol = 0 |
|---|
| 68 | self.pollist = [] |
|---|
| 69 | self.cellx = 0.0 |
|---|
| 70 | self.celly = 0.0 |
|---|
| 71 | self.center = [0.0,0.0] |
|---|
| 72 | self.nonzero = [[0.0],[0.0]] |
|---|
| 73 | self.ifno = ifno |
|---|
| 74 | self.tablein = None |
|---|
| 75 | self.nrow = 0 |
|---|
| 76 | self.blc = None |
|---|
| 77 | self.trc = None |
|---|
| 78 | self.get() |
|---|
| 79 | |
|---|
| 80 | def get( self ): |
|---|
| 81 | s = scantable( self.outfile, average=False ) |
|---|
| 82 | self.nchan = len(s._getspectrum(0)) |
|---|
| 83 | nrow = s.nrow() |
|---|
| 84 | pols = numpy.ones( nrow, dtype=int ) |
|---|
| 85 | for i in xrange(nrow): |
|---|
| 86 | pols[i] = s.getpol(i) |
|---|
| 87 | self.pollist, indices = numpy.unique( pols, return_inverse=True ) |
|---|
| 88 | self.npol = len(self.pollist) |
|---|
| 89 | self.pollist = self.pollist[indices[:self.npol]] |
|---|
| 90 | #print 'pollist=',self.pollist |
|---|
| 91 | #print 'npol=',self.npol |
|---|
| 92 | #print 'nrow=',nrow |
|---|
| 93 | |
|---|
| 94 | idx = 0 |
|---|
| 95 | d0 = s.get_direction( 0 ).split()[-1] |
|---|
| 96 | while ( s.get_direction(self.npol*idx).split()[-1] == d0 ): |
|---|
| 97 | idx += 1 |
|---|
| 98 | |
|---|
| 99 | self.nx = idx |
|---|
| 100 | self.ny = nrow / (self.npol * idx ) |
|---|
| 101 | #print 'nx,ny=',self.nx,self.ny |
|---|
| 102 | |
|---|
| 103 | self.blc = s.get_directionval( 0 ) |
|---|
| 104 | self.trc = s.get_directionval( nrow-self.npol ) |
|---|
| 105 | #print self.blc |
|---|
| 106 | #print self.trc |
|---|
| 107 | incrx = s.get_directionval( self.npol ) |
|---|
| 108 | incry = s.get_directionval( self.nx*self.npol ) |
|---|
| 109 | self.cellx = abs( self.blc[0] - incrx[0] ) |
|---|
| 110 | self.celly = abs( self.blc[1] - incry[1] ) |
|---|
| 111 | #print 'cellx,celly=',self.cellx,self.celly |
|---|
| 112 | |
|---|
| 113 | def plot( self, chan=-1, pol=-1, plotobs=False, plotgrid=False ): |
|---|
| 114 | if pol < 0: |
|---|
| 115 | opt = 'averaged over pol' |
|---|
| 116 | else: |
|---|
| 117 | opt = 'pol %s'%(pol) |
|---|
| 118 | if chan < 0: |
|---|
| 119 | opt += ', averaged over channel' |
|---|
| 120 | else: |
|---|
| 121 | opt += ', channel %s'%(chan) |
|---|
| 122 | data = self.getData( chan, pol ) |
|---|
| 123 | title = 'Gridded Image (%s)'%(opt) |
|---|
| 124 | pl.figure(10) |
|---|
| 125 | pl.clf() |
|---|
| 126 | # plot grid position |
|---|
| 127 | if plotgrid: |
|---|
| 128 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float) |
|---|
| 129 | #print 'len(x)=',len(x) |
|---|
| 130 | #print 'x=',x |
|---|
| 131 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1] |
|---|
| 132 | #print 'len(ybase)=',len(ybase) |
|---|
| 133 | incr = self.celly |
|---|
| 134 | for iy in xrange(self.ny): |
|---|
| 135 | y = ybase + iy * incr |
|---|
| 136 | #print y |
|---|
| 137 | pl.plot(x,y,',',color='blue') |
|---|
| 138 | # plot observed position |
|---|
| 139 | if plotobs: |
|---|
| 140 | self.createTableIn() |
|---|
| 141 | irow = 0 |
|---|
| 142 | while ( irow < self.nrow ): |
|---|
| 143 | chunk = self.getPointingChunk( irow ) |
|---|
| 144 | #print chunk |
|---|
| 145 | pl.plot(chunk[0],chunk[1],',',color='green') |
|---|
| 146 | irow += chunk.shape[1] |
|---|
| 147 | #print irow |
|---|
| 148 | # show image |
|---|
| 149 | extent=[self.blc[0]-0.5*self.cellx, |
|---|
| 150 | self.trc[0]+0.5*self.cellx, |
|---|
| 151 | self.blc[1]-0.5*self.celly, |
|---|
| 152 | self.trc[1]+0.5*self.celly] |
|---|
| 153 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest') |
|---|
| 154 | pl.colorbar() |
|---|
| 155 | pl.xlabel('R.A. [rad]') |
|---|
| 156 | pl.ylabel('Dec. [rad]') |
|---|
| 157 | pl.title( title ) |
|---|
| 158 | |
|---|
| 159 | def createTableIn( self ): |
|---|
| 160 | self.tablein = scantable( self.infile, average=False ) |
|---|
| 161 | if self.ifno < 0: |
|---|
| 162 | ifno = self.tablein.getif(0) |
|---|
| 163 | print 'ifno=',ifno |
|---|
| 164 | else: |
|---|
| 165 | ifno = self.ifno |
|---|
| 166 | sel = selector() |
|---|
| 167 | sel.set_ifs( ifno ) |
|---|
| 168 | self.tablein.set_selection( sel ) |
|---|
| 169 | self.nchan = len(self.tablein._getspectrum(0)) |
|---|
| 170 | self.nrow = self.tablein.nrow() |
|---|
| 171 | del sel |
|---|
| 172 | |
|---|
| 173 | |
|---|
| 174 | def getPointingChunk( self, irow ): |
|---|
| 175 | numchunk = 1000 |
|---|
| 176 | nrow = min( self.nrow-irow, numchunk ) |
|---|
| 177 | #print 'nrow=',nrow |
|---|
| 178 | v = numpy.zeros( (2,nrow), dtype=float ) |
|---|
| 179 | idx = 0 |
|---|
| 180 | for i in xrange(irow,irow+nrow): |
|---|
| 181 | d = self.tablein.get_directionval( i ) |
|---|
| 182 | v[0,idx] = d[0] |
|---|
| 183 | v[1,idx] = d[1] |
|---|
| 184 | idx += 1 |
|---|
| 185 | return v |
|---|
| 186 | |
|---|
| 187 | def getData( self, chan=-1, pol=-1 ): |
|---|
| 188 | if chan == -1: |
|---|
| 189 | spectra = self.__chanAverage() |
|---|
| 190 | else: |
|---|
| 191 | spectra = self.__chanIndex( chan ) |
|---|
| 192 | data = spectra.reshape( (self.npol,self.ny,self.nx) ) |
|---|
| 193 | if pol == -1: |
|---|
| 194 | retval = data.mean(axis=0) |
|---|
| 195 | else: |
|---|
| 196 | retval = data[pol] |
|---|
| 197 | #retval[0][self.nx-1] = -1.0 |
|---|
| 198 | return retval |
|---|
| 199 | |
|---|
| 200 | def __chanAverage( self ): |
|---|
| 201 | s = scantable( self.outfile, average=False ) |
|---|
| 202 | nrow = s.nrow() |
|---|
| 203 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
|---|
| 204 | irow = 0 |
|---|
| 205 | sp = [0 for i in xrange(self.nchan)] |
|---|
| 206 | for i in xrange(nrow/self.npol): |
|---|
| 207 | for ip in xrange(self.npol): |
|---|
| 208 | sp = s._getspectrum( irow ) |
|---|
| 209 | spectra[ip,i] = numpy.mean( sp ) |
|---|
| 210 | irow += 1 |
|---|
| 211 | return spectra |
|---|
| 212 | |
|---|
| 213 | def __chanIndex( self, idx ): |
|---|
| 214 | s = scantable( self.outfile, average=False ) |
|---|
| 215 | nrow = s.nrow() |
|---|
| 216 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
|---|
| 217 | irow = 0 |
|---|
| 218 | sp = [0 for i in xrange(self.nchan)] |
|---|
| 219 | for i in xrange(nrow/self.npol): |
|---|
| 220 | for ip in xrange(self.npol): |
|---|
| 221 | sp = s._getspectrum( irow ) |
|---|
| 222 | spectra[ip,i] = sp[idx] |
|---|
| 223 | irow += 1 |
|---|
| 224 | return spectra |
|---|
| 225 | |
|---|
| 226 | |
|---|
