| 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 | """ |
|---|
| 11 | The asapgrid class is defined to convolve data onto regular |
|---|
| 12 | spatial grid. Typical usage is as follows: |
|---|
| 13 | |
|---|
| 14 | # create asapgrid instance with two input data |
|---|
| 15 | g = asapgrid( ['testimage1.asap','testimage2.asap'] ) |
|---|
| 16 | # set IFNO if necessary |
|---|
| 17 | g.setIF( 0 ) |
|---|
| 18 | # set POLNOs if necessary |
|---|
| 19 | g.setPolList( [0,1] ) |
|---|
| 20 | # set SCANNOs if necessary |
|---|
| 21 | g.setScanList( [22,23,24] ) |
|---|
| 22 | # define image with full specification |
|---|
| 23 | # you can skip some parameters (see help for defineImage) |
|---|
| 24 | g.defineImage( nx=12, ny=12, cellx='10arcsec', celly='10arcsec', |
|---|
| 25 | center='J2000 10h10m10s -5d05m05s' ) |
|---|
| 26 | # set convolution function |
|---|
| 27 | g.setFunc( func='sf', width=3 ) |
|---|
| 28 | # actual gridding |
|---|
| 29 | g.grid() |
|---|
| 30 | # save result |
|---|
| 31 | g.save( outfile='grid.asap' ) |
|---|
| 32 | # plot result |
|---|
| 33 | g.plot( plotchan=1246, plotpol=-1, plotgrid=True, plotobs=True ) |
|---|
| 34 | """ |
|---|
| 35 | def __init__( self, infile ): |
|---|
| 36 | """ |
|---|
| 37 | Create asapgrid instance. |
|---|
| 38 | |
|---|
| 39 | infile -- input data as a string or string list if you want |
|---|
| 40 | to grid more than one data at once. |
|---|
| 41 | """ |
|---|
| 42 | self.outfile = None |
|---|
| 43 | self.ifno = None |
|---|
| 44 | self.gridder = stgrid() |
|---|
| 45 | self.setData( infile ) |
|---|
| 46 | |
|---|
| 47 | def setData( self, infile ): |
|---|
| 48 | """ |
|---|
| 49 | Set data to be processed. |
|---|
| 50 | |
|---|
| 51 | infile -- input data as a string or string list if you want |
|---|
| 52 | to grid more than one data at once. |
|---|
| 53 | """ |
|---|
| 54 | if isinstance( infile, str ): |
|---|
| 55 | self.gridder._setin( infile ) |
|---|
| 56 | else: |
|---|
| 57 | self.gridder._setfiles( infile ) |
|---|
| 58 | self.infile = infile |
|---|
| 59 | |
|---|
| 60 | def setIF( self, ifno ): |
|---|
| 61 | """ |
|---|
| 62 | Set IFNO to be processed. Currently, asapgrid allows to process |
|---|
| 63 | only one IFNO for one gridding run even if the data contains |
|---|
| 64 | multiple IFs. If you didn't specify IFNO, default value, which |
|---|
| 65 | is IFNO in the first spectrum, will be processed. |
|---|
| 66 | |
|---|
| 67 | ifno -- IFNO to be processed. |
|---|
| 68 | """ |
|---|
| 69 | self.ifno = ifno |
|---|
| 70 | self.gridder._setif( self.ifno ) |
|---|
| 71 | |
|---|
| 72 | def setPolList( self, pollist ): |
|---|
| 73 | """ |
|---|
| 74 | Set list of polarization components you want to process. |
|---|
| 75 | If not specified, all POLNOs will be processed. |
|---|
| 76 | |
|---|
| 77 | pollist -- list of POLNOs. |
|---|
| 78 | """ |
|---|
| 79 | self.gridder._setpollist( pollist ) |
|---|
| 80 | |
|---|
| 81 | def setScanList( self, scanlist ): |
|---|
| 82 | """ |
|---|
| 83 | Set list of scans you want to process. If not specified, all |
|---|
| 84 | scans will be processed. |
|---|
| 85 | |
|---|
| 86 | scanlist -- list of SCANNOs. |
|---|
| 87 | """ |
|---|
| 88 | self.gridder._setscanlist( scanlist ) |
|---|
| 89 | |
|---|
| 90 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ): |
|---|
| 91 | """ |
|---|
| 92 | Define spatial grid. |
|---|
| 93 | |
|---|
| 94 | First two parameters, nx and ny, define number of pixels of |
|---|
| 95 | the grid. If which of those is not specified, it will be set |
|---|
| 96 | to the same value as the other. If none of them are specified, |
|---|
| 97 | it will be determined from map extent and cell size. |
|---|
| 98 | |
|---|
| 99 | Next two parameters, cellx and celly, define size of pixel. |
|---|
| 100 | You should set those parameters as string, which is constructed |
|---|
| 101 | numerical value and unit, e.g. '0.5arcmin', or numerical value. |
|---|
| 102 | If those values are specified as numerical value, their units |
|---|
| 103 | will be assumed to 'arcmin'. If which of those is not specified, |
|---|
| 104 | it will be set to the same value as the other. If none of them |
|---|
| 105 | are specified, it will be determined from map extent and number |
|---|
| 106 | of pixels, or set to '1arcmin' if neither nx nor ny is set. |
|---|
| 107 | |
|---|
| 108 | The last parameter, center, define the central coordinate of |
|---|
| 109 | the grid. You should specify its value as a string, like, |
|---|
| 110 | |
|---|
| 111 | 'J2000 05h08m50s -16d23m30s' |
|---|
| 112 | |
|---|
| 113 | or |
|---|
| 114 | |
|---|
| 115 | 'J2000 05:08:50 -16.23.30' |
|---|
| 116 | |
|---|
| 117 | You can omit equinox when you specify center coordinate. In that |
|---|
| 118 | case, J2000 is assumed. If center is not specified, it will be |
|---|
| 119 | determined from the observed positions of input data. |
|---|
| 120 | |
|---|
| 121 | nx -- number of pixels along x (R.A.) direction. |
|---|
| 122 | ny -- number of pixels along y (Dec.) direction. |
|---|
| 123 | cellx -- size of pixel in x (R.A.) direction. |
|---|
| 124 | celly -- size of pixel in y (Dec.) direction. |
|---|
| 125 | center -- central position of the grid. |
|---|
| 126 | """ |
|---|
| 127 | if not isinstance( cellx, str ): |
|---|
| 128 | cellx = '%sarcmin'%(cellx) |
|---|
| 129 | if not isinstance( celly, str ): |
|---|
| 130 | celly = '%sarcmin'%(celly) |
|---|
| 131 | self.gridder._defineimage( nx, ny, cellx, celly, center ) |
|---|
| 132 | |
|---|
| 133 | def setFunc( self, func='box', width=-1 ): |
|---|
| 134 | """ |
|---|
| 135 | Set convolution function. Possible options are 'box' (Box-car, |
|---|
| 136 | default), 'sf' (prolate spheroidal), and 'gauss' (Gaussian). |
|---|
| 137 | Width of convolution function can be set using width parameter. |
|---|
| 138 | By default (-1), width is automatically set depending on each |
|---|
| 139 | convolution function. Default values for width are: |
|---|
| 140 | |
|---|
| 141 | 'box': 1 pixel |
|---|
| 142 | 'sf': 3 pixels |
|---|
| 143 | 'gauss': 3 pixels (width is used as HWHM) |
|---|
| 144 | |
|---|
| 145 | func -- Function type ('box', 'sf', 'gauss'). |
|---|
| 146 | width -- Width of convolution function. Default (-1) is to |
|---|
| 147 | choose pre-defined value for each convolution function. |
|---|
| 148 | """ |
|---|
| 149 | self.gridder._setfunc( func, width ) |
|---|
| 150 | |
|---|
| 151 | def setWeight( self, weightType='uniform' ): |
|---|
| 152 | """ |
|---|
| 153 | Set weight type. Possible options are 'uniform' (default), |
|---|
| 154 | 'tint' (weight by integration time), 'tsys' (weight by |
|---|
| 155 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time |
|---|
| 156 | as well as Tsys: tint/Tsys**2). |
|---|
| 157 | |
|---|
| 158 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys') |
|---|
| 159 | """ |
|---|
| 160 | self.gridder._setweight( weightType ) |
|---|
| 161 | |
|---|
| 162 | def enableClip( self ): |
|---|
| 163 | """ |
|---|
| 164 | Enable min/max clipping. |
|---|
| 165 | |
|---|
| 166 | By default, min/max clipping is disabled so that you should |
|---|
| 167 | call this method before actual gridding if you want to do |
|---|
| 168 | clipping. |
|---|
| 169 | """ |
|---|
| 170 | self.gridder._enableclip() |
|---|
| 171 | |
|---|
| 172 | def disableClip( self ): |
|---|
| 173 | """ |
|---|
| 174 | Disable min/max clipping. |
|---|
| 175 | """ |
|---|
| 176 | self.gridder._disableclip() |
|---|
| 177 | |
|---|
| 178 | def grid( self ): |
|---|
| 179 | """ |
|---|
| 180 | Actual gridding which will be done based on several user inputs. |
|---|
| 181 | """ |
|---|
| 182 | self.gridder._grid() |
|---|
| 183 | |
|---|
| 184 | def save( self, outfile='' ): |
|---|
| 185 | """ |
|---|
| 186 | Save result. By default, output data name will be constructed |
|---|
| 187 | from first element of input data name list (e.g. 'input.asap.grid'). |
|---|
| 188 | |
|---|
| 189 | outfile -- output data name. |
|---|
| 190 | """ |
|---|
| 191 | self.outfile = self.gridder._save( outfile ) |
|---|
| 192 | |
|---|
| 193 | def plot( self, plotchan=-1, plotpol=-1, plotobs=False, plotgrid=False ): |
|---|
| 194 | """ |
|---|
| 195 | Plot gridded data. |
|---|
| 196 | |
|---|
| 197 | plotchan -- Which channel you want to plot. Default (-1) is |
|---|
| 198 | to average all the channels. |
|---|
| 199 | plotpol -- Which polarization component you want to plot. |
|---|
| 200 | Default (-1) is to average all the polarization |
|---|
| 201 | components. |
|---|
| 202 | plotobs -- Also plot observed position if True. Default |
|---|
| 203 | is False. Setting True for large amount of spectra |
|---|
| 204 | might be time consuming. |
|---|
| 205 | plotgrid -- Also plot grid center if True. Default is False. |
|---|
| 206 | Setting True for large number of grids might be |
|---|
| 207 | time consuming. |
|---|
| 208 | """ |
|---|
| 209 | import time |
|---|
| 210 | t0=time.time() |
|---|
| 211 | # to load scantable on disk |
|---|
| 212 | storg = rcParams['scantable.storage'] |
|---|
| 213 | rcParams['scantable.storage'] = 'disk' |
|---|
| 214 | plotter = _SDGridPlotter( self.infile, self.outfile, self.ifno ) |
|---|
| 215 | plotter.plot( chan=plotchan, pol=plotpol, plotobs=plotobs, plotgrid=plotgrid ) |
|---|
| 216 | # back to original setup |
|---|
| 217 | rcParams['scantable.storage'] = storg |
|---|
| 218 | t1=time.time() |
|---|
| 219 | asaplog.push('plot: elapsed time %s sec'%(t1-t0)) |
|---|
| 220 | asaplog.post('DEBUG','asapgrid.plot') |
|---|
| 221 | |
|---|
| 222 | class _SDGridPlotter: |
|---|
| 223 | def __init__( self, infile, outfile=None, ifno=-1 ): |
|---|
| 224 | if isinstance( infile, str ): |
|---|
| 225 | self.infile = [infile] |
|---|
| 226 | else: |
|---|
| 227 | self.infile = infile |
|---|
| 228 | self.outfile = outfile |
|---|
| 229 | if self.outfile is None: |
|---|
| 230 | self.outfile = self.infile[0].rstrip('/')+'.grid' |
|---|
| 231 | self.nx = -1 |
|---|
| 232 | self.ny = -1 |
|---|
| 233 | self.nchan = 0 |
|---|
| 234 | self.npol = 0 |
|---|
| 235 | self.pollist = [] |
|---|
| 236 | self.cellx = 0.0 |
|---|
| 237 | self.celly = 0.0 |
|---|
| 238 | self.center = [0.0,0.0] |
|---|
| 239 | self.nonzero = [[0.0],[0.0]] |
|---|
| 240 | self.ifno = ifno |
|---|
| 241 | self.tablein = None |
|---|
| 242 | self.nrow = 0 |
|---|
| 243 | self.blc = None |
|---|
| 244 | self.trc = None |
|---|
| 245 | self.get() |
|---|
| 246 | |
|---|
| 247 | def get( self ): |
|---|
| 248 | s = scantable( self.outfile, average=False ) |
|---|
| 249 | self.nchan = len(s._getspectrum(0)) |
|---|
| 250 | nrow = s.nrow() |
|---|
| 251 | pols = numpy.ones( nrow, dtype=int ) |
|---|
| 252 | for i in xrange(nrow): |
|---|
| 253 | pols[i] = s.getpol(i) |
|---|
| 254 | self.pollist, indices = numpy.unique( pols, return_inverse=True ) |
|---|
| 255 | self.npol = len(self.pollist) |
|---|
| 256 | self.pollist = self.pollist[indices[:self.npol]] |
|---|
| 257 | #print 'pollist=',self.pollist |
|---|
| 258 | #print 'npol=',self.npol |
|---|
| 259 | #print 'nrow=',nrow |
|---|
| 260 | |
|---|
| 261 | idx = 0 |
|---|
| 262 | d0 = s.get_direction( 0 ).split()[-1] |
|---|
| 263 | while ( s.get_direction(self.npol*idx).split()[-1] == d0 ): |
|---|
| 264 | idx += 1 |
|---|
| 265 | |
|---|
| 266 | self.nx = idx |
|---|
| 267 | self.ny = nrow / (self.npol * idx ) |
|---|
| 268 | #print 'nx,ny=',self.nx,self.ny |
|---|
| 269 | |
|---|
| 270 | self.blc = s.get_directionval( 0 ) |
|---|
| 271 | self.trc = s.get_directionval( nrow-self.npol ) |
|---|
| 272 | #print self.blc |
|---|
| 273 | #print self.trc |
|---|
| 274 | incrx = s.get_directionval( self.npol ) |
|---|
| 275 | incry = s.get_directionval( self.nx*self.npol ) |
|---|
| 276 | self.cellx = abs( self.blc[0] - incrx[0] ) |
|---|
| 277 | self.celly = abs( self.blc[1] - incry[1] ) |
|---|
| 278 | #print 'cellx,celly=',self.cellx,self.celly |
|---|
| 279 | |
|---|
| 280 | def plot( self, chan=-1, pol=-1, plotobs=False, plotgrid=False ): |
|---|
| 281 | if pol < 0: |
|---|
| 282 | opt = 'averaged over pol' |
|---|
| 283 | else: |
|---|
| 284 | opt = 'pol %s'%(pol) |
|---|
| 285 | if chan < 0: |
|---|
| 286 | opt += ', averaged over channel' |
|---|
| 287 | else: |
|---|
| 288 | opt += ', channel %s'%(chan) |
|---|
| 289 | data = self.getData( chan, pol ) |
|---|
| 290 | title = 'Gridded Image (%s)'%(opt) |
|---|
| 291 | pl.figure(10) |
|---|
| 292 | pl.clf() |
|---|
| 293 | # plot grid position |
|---|
| 294 | if plotgrid: |
|---|
| 295 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float) |
|---|
| 296 | #print 'len(x)=',len(x) |
|---|
| 297 | #print 'x=',x |
|---|
| 298 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1] |
|---|
| 299 | #print 'len(ybase)=',len(ybase) |
|---|
| 300 | incr = self.celly |
|---|
| 301 | for iy in xrange(self.ny): |
|---|
| 302 | y = ybase + iy * incr |
|---|
| 303 | #print y |
|---|
| 304 | pl.plot(x,y,',',color='blue') |
|---|
| 305 | # plot observed position |
|---|
| 306 | if plotobs: |
|---|
| 307 | for i in xrange(len(self.infile)): |
|---|
| 308 | self.createTableIn( self.infile[i] ) |
|---|
| 309 | irow = 0 |
|---|
| 310 | while ( irow < self.nrow ): |
|---|
| 311 | chunk = self.getPointingChunk( irow ) |
|---|
| 312 | #print chunk |
|---|
| 313 | pl.plot(chunk[0],chunk[1],',',color='green') |
|---|
| 314 | irow += chunk.shape[1] |
|---|
| 315 | #print irow |
|---|
| 316 | # show image |
|---|
| 317 | extent=[self.blc[0]-0.5*self.cellx, |
|---|
| 318 | self.trc[0]+0.5*self.cellx, |
|---|
| 319 | self.blc[1]-0.5*self.celly, |
|---|
| 320 | self.trc[1]+0.5*self.celly] |
|---|
| 321 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest') |
|---|
| 322 | pl.colorbar() |
|---|
| 323 | pl.xlabel('R.A. [rad]') |
|---|
| 324 | pl.ylabel('Dec. [rad]') |
|---|
| 325 | pl.title( title ) |
|---|
| 326 | |
|---|
| 327 | def createTableIn( self, tab ): |
|---|
| 328 | del self.tablein |
|---|
| 329 | self.tablein = scantable( tab, average=False ) |
|---|
| 330 | if self.ifno < 0: |
|---|
| 331 | ifno = self.tablein.getif(0) |
|---|
| 332 | print 'ifno=',ifno |
|---|
| 333 | else: |
|---|
| 334 | ifno = self.ifno |
|---|
| 335 | sel = selector() |
|---|
| 336 | sel.set_ifs( ifno ) |
|---|
| 337 | self.tablein.set_selection( sel ) |
|---|
| 338 | self.nchan = len(self.tablein._getspectrum(0)) |
|---|
| 339 | self.nrow = self.tablein.nrow() |
|---|
| 340 | del sel |
|---|
| 341 | |
|---|
| 342 | |
|---|
| 343 | def getPointingChunk( self, irow ): |
|---|
| 344 | numchunk = 1000 |
|---|
| 345 | nrow = min( self.nrow-irow, numchunk ) |
|---|
| 346 | #print 'nrow=',nrow |
|---|
| 347 | v = numpy.zeros( (2,nrow), dtype=float ) |
|---|
| 348 | idx = 0 |
|---|
| 349 | for i in xrange(irow,irow+nrow): |
|---|
| 350 | d = self.tablein.get_directionval( i ) |
|---|
| 351 | v[0,idx] = d[0] |
|---|
| 352 | v[1,idx] = d[1] |
|---|
| 353 | idx += 1 |
|---|
| 354 | return v |
|---|
| 355 | |
|---|
| 356 | def getData( self, chan=-1, pol=-1 ): |
|---|
| 357 | if chan == -1: |
|---|
| 358 | spectra = self.__chanAverage() |
|---|
| 359 | else: |
|---|
| 360 | spectra = self.__chanIndex( chan ) |
|---|
| 361 | data = spectra.reshape( (self.npol,self.ny,self.nx) ) |
|---|
| 362 | if pol == -1: |
|---|
| 363 | retval = data.mean(axis=0) |
|---|
| 364 | else: |
|---|
| 365 | retval = data[pol] |
|---|
| 366 | return retval |
|---|
| 367 | |
|---|
| 368 | def __chanAverage( self ): |
|---|
| 369 | s = scantable( self.outfile, average=False ) |
|---|
| 370 | nrow = s.nrow() |
|---|
| 371 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
|---|
| 372 | irow = 0 |
|---|
| 373 | sp = [0 for i in xrange(self.nchan)] |
|---|
| 374 | for i in xrange(nrow/self.npol): |
|---|
| 375 | for ip in xrange(self.npol): |
|---|
| 376 | sp = s._getspectrum( irow ) |
|---|
| 377 | spectra[ip,i] = numpy.mean( sp ) |
|---|
| 378 | irow += 1 |
|---|
| 379 | return spectra |
|---|
| 380 | |
|---|
| 381 | def __chanIndex( self, idx ): |
|---|
| 382 | s = scantable( self.outfile, average=False ) |
|---|
| 383 | nrow = s.nrow() |
|---|
| 384 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
|---|
| 385 | irow = 0 |
|---|
| 386 | sp = [0 for i in xrange(self.nchan)] |
|---|
| 387 | for i in xrange(nrow/self.npol): |
|---|
| 388 | for ip in xrange(self.npol): |
|---|
| 389 | sp = s._getspectrum( irow ) |
|---|
| 390 | spectra[ip,i] = sp[idx] |
|---|
| 391 | irow += 1 |
|---|
| 392 | return spectra |
|---|
| 393 | |
|---|
| 394 | |
|---|
