[2356] | 1 | import numpy |
---|
[2367] | 2 | from asap import rcParams |
---|
[2356] | 3 | from asap.scantable import scantable |
---|
[2367] | 4 | from asap.selector import selector |
---|
[2593] | 5 | from asap._asap import stgrid, stgrid2 |
---|
[2356] | 6 | import pylab as pl |
---|
[2367] | 7 | from logging import asaplog |
---|
[2356] | 8 | |
---|
| 9 | class asapgrid: |
---|
[2391] | 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 ) |
---|
[2397] | 28 | # enable min/max clipping |
---|
| 29 | g.enableClip() |
---|
| 30 | # or, disable min/max clipping |
---|
| 31 | #g.disableClip() |
---|
[2391] | 32 | # actual gridding |
---|
| 33 | g.grid() |
---|
| 34 | # save result |
---|
| 35 | g.save( outfile='grid.asap' ) |
---|
| 36 | # plot result |
---|
| 37 | g.plot( plotchan=1246, plotpol=-1, plotgrid=True, plotobs=True ) |
---|
| 38 | """ |
---|
[2356] | 39 | def __init__( self, infile ): |
---|
[2391] | 40 | """ |
---|
| 41 | Create asapgrid instance. |
---|
| 42 | |
---|
| 43 | infile -- input data as a string or string list if you want |
---|
| 44 | to grid more than one data at once. |
---|
| 45 | """ |
---|
[2356] | 46 | self.outfile = None |
---|
[2367] | 47 | self.ifno = None |
---|
[2390] | 48 | self.gridder = stgrid() |
---|
| 49 | self.setData( infile ) |
---|
[2356] | 50 | |
---|
| 51 | def setData( self, infile ): |
---|
[2391] | 52 | """ |
---|
| 53 | Set data to be processed. |
---|
| 54 | |
---|
| 55 | infile -- input data as a string or string list if you want |
---|
| 56 | to grid more than one data at once. |
---|
| 57 | """ |
---|
[2390] | 58 | if isinstance( infile, str ): |
---|
| 59 | self.gridder._setin( infile ) |
---|
| 60 | else: |
---|
| 61 | self.gridder._setfiles( infile ) |
---|
| 62 | self.infile = infile |
---|
[2356] | 63 | |
---|
[2362] | 64 | def setIF( self, ifno ): |
---|
[2391] | 65 | """ |
---|
| 66 | Set IFNO to be processed. Currently, asapgrid allows to process |
---|
| 67 | only one IFNO for one gridding run even if the data contains |
---|
| 68 | multiple IFs. If you didn't specify IFNO, default value, which |
---|
| 69 | is IFNO in the first spectrum, will be processed. |
---|
| 70 | |
---|
| 71 | ifno -- IFNO to be processed. |
---|
| 72 | """ |
---|
[2367] | 73 | self.ifno = ifno |
---|
| 74 | self.gridder._setif( self.ifno ) |
---|
[2362] | 75 | |
---|
[2360] | 76 | def setPolList( self, pollist ): |
---|
[2391] | 77 | """ |
---|
| 78 | Set list of polarization components you want to process. |
---|
| 79 | If not specified, all POLNOs will be processed. |
---|
| 80 | |
---|
| 81 | pollist -- list of POLNOs. |
---|
| 82 | """ |
---|
[2360] | 83 | self.gridder._setpollist( pollist ) |
---|
| 84 | |
---|
[2364] | 85 | def setScanList( self, scanlist ): |
---|
[2391] | 86 | """ |
---|
| 87 | Set list of scans you want to process. If not specified, all |
---|
| 88 | scans will be processed. |
---|
| 89 | |
---|
| 90 | scanlist -- list of SCANNOs. |
---|
| 91 | """ |
---|
[2364] | 92 | self.gridder._setscanlist( scanlist ) |
---|
| 93 | |
---|
[2356] | 94 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ): |
---|
[2391] | 95 | """ |
---|
| 96 | Define spatial grid. |
---|
| 97 | |
---|
| 98 | First two parameters, nx and ny, define number of pixels of |
---|
| 99 | the grid. If which of those is not specified, it will be set |
---|
| 100 | to the same value as the other. If none of them are specified, |
---|
| 101 | it will be determined from map extent and cell size. |
---|
| 102 | |
---|
| 103 | Next two parameters, cellx and celly, define size of pixel. |
---|
| 104 | You should set those parameters as string, which is constructed |
---|
| 105 | numerical value and unit, e.g. '0.5arcmin', or numerical value. |
---|
| 106 | If those values are specified as numerical value, their units |
---|
[2421] | 107 | will be assumed to 'arcsec'. If which of those is not specified, |
---|
[2391] | 108 | it will be set to the same value as the other. If none of them |
---|
| 109 | are specified, it will be determined from map extent and number |
---|
| 110 | of pixels, or set to '1arcmin' if neither nx nor ny is set. |
---|
| 111 | |
---|
| 112 | The last parameter, center, define the central coordinate of |
---|
| 113 | the grid. You should specify its value as a string, like, |
---|
| 114 | |
---|
| 115 | 'J2000 05h08m50s -16d23m30s' |
---|
| 116 | |
---|
| 117 | or |
---|
| 118 | |
---|
| 119 | 'J2000 05:08:50 -16.23.30' |
---|
| 120 | |
---|
| 121 | You can omit equinox when you specify center coordinate. In that |
---|
| 122 | case, J2000 is assumed. If center is not specified, it will be |
---|
| 123 | determined from the observed positions of input data. |
---|
| 124 | |
---|
| 125 | nx -- number of pixels along x (R.A.) direction. |
---|
| 126 | ny -- number of pixels along y (Dec.) direction. |
---|
| 127 | cellx -- size of pixel in x (R.A.) direction. |
---|
| 128 | celly -- size of pixel in y (Dec.) direction. |
---|
| 129 | center -- central position of the grid. |
---|
| 130 | """ |
---|
| 131 | if not isinstance( cellx, str ): |
---|
[2421] | 132 | cellx = '%sarcsec'%(cellx) |
---|
[2391] | 133 | if not isinstance( celly, str ): |
---|
[2421] | 134 | celly = '%sarcsec'%(celly) |
---|
[2356] | 135 | self.gridder._defineimage( nx, ny, cellx, celly, center ) |
---|
| 136 | |
---|
[2678] | 137 | def setFunc( self, func='box', convsupport=-1, truncate="-1", gwidth="-1", jwidth="-1" ): |
---|
[2391] | 138 | """ |
---|
| 139 | Set convolution function. Possible options are 'box' (Box-car, |
---|
| 140 | default), 'sf' (prolate spheroidal), and 'gauss' (Gaussian). |
---|
| 141 | Width of convolution function can be set using width parameter. |
---|
| 142 | By default (-1), width is automatically set depending on each |
---|
| 143 | convolution function. Default values for width are: |
---|
| 144 | |
---|
| 145 | 'box': 1 pixel |
---|
| 146 | 'sf': 3 pixels |
---|
[2450] | 147 | 'gauss': 1 pixel (width is used as HWHM) |
---|
[2391] | 148 | |
---|
| 149 | func -- Function type ('box', 'sf', 'gauss'). |
---|
| 150 | width -- Width of convolution function. Default (-1) is to |
---|
| 151 | choose pre-defined value for each convolution function. |
---|
| 152 | """ |
---|
[2678] | 153 | self.gridder._setfunc(func, |
---|
| 154 | convsupport=convsupport, |
---|
| 155 | truncate=truncate, |
---|
| 156 | gwidth=gwidth, |
---|
| 157 | jwidth=jwidth) |
---|
| 158 | ## fname = func.upper() |
---|
| 159 | ## if fname == 'GAUSS' or fname == 'GJINC': |
---|
| 160 | ## gw = str(gwidth) |
---|
| 161 | ## jw = str(jwidth) |
---|
| 162 | ## w = str(width) |
---|
| 163 | ## #if len(w) > 0 and w[0] == '-': |
---|
| 164 | ## # w = '' |
---|
| 165 | ## #self.gridder._setfunc(fname, -1, w, gw, jw) |
---|
| 166 | ## self.gridder._setfunc(fname,convsupport=-1,gwidth=gw,jwidth=jw,truncate=w) |
---|
| 167 | ## else: |
---|
| 168 | ## #if isinstance(width,str): |
---|
| 169 | ## # w = -1 |
---|
| 170 | ## #else: |
---|
| 171 | ## # w = width |
---|
| 172 | ## self.gridder._setfunc( func, convsupport=width ) |
---|
[2356] | 173 | |
---|
[2361] | 174 | def setWeight( self, weightType='uniform' ): |
---|
[2391] | 175 | """ |
---|
| 176 | Set weight type. Possible options are 'uniform' (default), |
---|
| 177 | 'tint' (weight by integration time), 'tsys' (weight by |
---|
| 178 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time |
---|
| 179 | as well as Tsys: tint/Tsys**2). |
---|
| 180 | |
---|
| 181 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys') |
---|
| 182 | """ |
---|
[2396] | 183 | self.gridder._setweight( weightType ) |
---|
[2361] | 184 | |
---|
[2396] | 185 | def enableClip( self ): |
---|
| 186 | """ |
---|
| 187 | Enable min/max clipping. |
---|
| 188 | |
---|
| 189 | By default, min/max clipping is disabled so that you should |
---|
| 190 | call this method before actual gridding if you want to do |
---|
| 191 | clipping. |
---|
| 192 | """ |
---|
| 193 | self.gridder._enableclip() |
---|
| 194 | |
---|
| 195 | def disableClip( self ): |
---|
| 196 | """ |
---|
| 197 | Disable min/max clipping. |
---|
| 198 | """ |
---|
| 199 | self.gridder._disableclip() |
---|
| 200 | |
---|
[2356] | 201 | def grid( self ): |
---|
[2391] | 202 | """ |
---|
| 203 | Actual gridding which will be done based on several user inputs. |
---|
| 204 | """ |
---|
[2356] | 205 | self.gridder._grid() |
---|
| 206 | |
---|
| 207 | def save( self, outfile='' ): |
---|
[2391] | 208 | """ |
---|
| 209 | Save result. By default, output data name will be constructed |
---|
| 210 | from first element of input data name list (e.g. 'input.asap.grid'). |
---|
| 211 | |
---|
| 212 | outfile -- output data name. |
---|
| 213 | """ |
---|
[2356] | 214 | self.outfile = self.gridder._save( outfile ) |
---|
| 215 | |
---|
[2375] | 216 | def plot( self, plotchan=-1, plotpol=-1, plotobs=False, plotgrid=False ): |
---|
[2391] | 217 | """ |
---|
| 218 | Plot gridded data. |
---|
| 219 | |
---|
| 220 | plotchan -- Which channel you want to plot. Default (-1) is |
---|
| 221 | to average all the channels. |
---|
| 222 | plotpol -- Which polarization component you want to plot. |
---|
| 223 | Default (-1) is to average all the polarization |
---|
| 224 | components. |
---|
| 225 | plotobs -- Also plot observed position if True. Default |
---|
| 226 | is False. Setting True for large amount of spectra |
---|
| 227 | might be time consuming. |
---|
| 228 | plotgrid -- Also plot grid center if True. Default is False. |
---|
| 229 | Setting True for large number of grids might be |
---|
| 230 | time consuming. |
---|
| 231 | """ |
---|
[2367] | 232 | import time |
---|
| 233 | t0=time.time() |
---|
| 234 | # to load scantable on disk |
---|
| 235 | storg = rcParams['scantable.storage'] |
---|
| 236 | rcParams['scantable.storage'] = 'disk' |
---|
| 237 | plotter = _SDGridPlotter( self.infile, self.outfile, self.ifno ) |
---|
[2375] | 238 | plotter.plot( chan=plotchan, pol=plotpol, plotobs=plotobs, plotgrid=plotgrid ) |
---|
[2367] | 239 | # back to original setup |
---|
| 240 | rcParams['scantable.storage'] = storg |
---|
| 241 | t1=time.time() |
---|
| 242 | asaplog.push('plot: elapsed time %s sec'%(t1-t0)) |
---|
| 243 | asaplog.post('DEBUG','asapgrid.plot') |
---|
[2671] | 244 | |
---|
| 245 | def plotFunc(self, clear=True): |
---|
| 246 | """ |
---|
| 247 | Support function to see the shape of current grid function. |
---|
| 248 | |
---|
| 249 | clear -- clear panel if True. Default is True. |
---|
| 250 | """ |
---|
| 251 | pl.figure(11) |
---|
| 252 | if clear: |
---|
| 253 | pl.clf() |
---|
| 254 | f = self.gridder._getfunc() |
---|
| 255 | convsampling = 100 |
---|
| 256 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float) |
---|
| 257 | pl.plot(a,f,'.-') |
---|
| 258 | pl.xlabel('pixel') |
---|
| 259 | pl.ylabel('convFunc') |
---|
[2356] | 260 | |
---|
[2593] | 261 | class asapgrid2: |
---|
| 262 | """ |
---|
| 263 | The asapgrid class is defined to convolve data onto regular |
---|
| 264 | spatial grid. Typical usage is as follows: |
---|
| 265 | |
---|
| 266 | # create asapgrid instance with input scantable |
---|
| 267 | s = scantable( 'testimage1.asap', average=False ) |
---|
| 268 | g = asapgrid( s ) |
---|
| 269 | # set IFNO if necessary |
---|
| 270 | g.setIF( 0 ) |
---|
| 271 | # set POLNOs if necessary |
---|
| 272 | g.setPolList( [0,1] ) |
---|
| 273 | # set SCANNOs if necessary |
---|
| 274 | g.setScanList( [22,23,24] ) |
---|
| 275 | # define image with full specification |
---|
| 276 | # you can skip some parameters (see help for defineImage) |
---|
| 277 | g.defineImage( nx=12, ny=12, cellx='10arcsec', celly='10arcsec', |
---|
| 278 | center='J2000 10h10m10s -5d05m05s' ) |
---|
| 279 | # set convolution function |
---|
| 280 | g.setFunc( func='sf', width=3 ) |
---|
| 281 | # enable min/max clipping |
---|
| 282 | g.enableClip() |
---|
| 283 | # or, disable min/max clipping |
---|
| 284 | #g.disableClip() |
---|
| 285 | # actual gridding |
---|
| 286 | g.grid() |
---|
| 287 | # get result as scantable |
---|
| 288 | sg = g.getResult() |
---|
| 289 | """ |
---|
| 290 | def __init__( self, scantab ): |
---|
| 291 | """ |
---|
| 292 | Create asapgrid instance. |
---|
| 293 | |
---|
| 294 | scantab -- input data as a scantable or a list of scantables |
---|
| 295 | to grid more than one data at once. |
---|
| 296 | """ |
---|
| 297 | self.outfile = None |
---|
| 298 | self.ifno = None |
---|
| 299 | self.gridder = stgrid2() |
---|
| 300 | self.setData( scantab ) |
---|
| 301 | |
---|
| 302 | def setData( self, scantab ): |
---|
| 303 | """ |
---|
| 304 | Set data to be processed. |
---|
| 305 | |
---|
| 306 | scantab -- input data as a scantable or a list of scantables |
---|
| 307 | to grid more than one data at once. |
---|
| 308 | """ |
---|
| 309 | if isinstance( scantab, scantable ): |
---|
| 310 | self.gridder._setin( scantab ) |
---|
| 311 | else: |
---|
| 312 | self.gridder._setfiles( scantab ) |
---|
| 313 | self.scantab = scantab |
---|
| 314 | |
---|
| 315 | def setIF( self, ifno ): |
---|
| 316 | """ |
---|
| 317 | Set IFNO to be processed. Currently, asapgrid allows to process |
---|
| 318 | only one IFNO for one gridding run even if the data contains |
---|
| 319 | multiple IFs. If you didn't specify IFNO, default value, which |
---|
| 320 | is IFNO in the first spectrum, will be processed. |
---|
| 321 | |
---|
| 322 | ifno -- IFNO to be processed. |
---|
| 323 | """ |
---|
| 324 | self.ifno = ifno |
---|
| 325 | self.gridder._setif( self.ifno ) |
---|
| 326 | |
---|
| 327 | def setPolList( self, pollist ): |
---|
| 328 | """ |
---|
| 329 | Set list of polarization components you want to process. |
---|
| 330 | If not specified, all POLNOs will be processed. |
---|
| 331 | |
---|
| 332 | pollist -- list of POLNOs. |
---|
| 333 | """ |
---|
| 334 | self.gridder._setpollist( pollist ) |
---|
| 335 | |
---|
| 336 | def setScanList( self, scanlist ): |
---|
| 337 | """ |
---|
| 338 | Set list of scans you want to process. If not specified, all |
---|
| 339 | scans will be processed. |
---|
| 340 | |
---|
| 341 | scanlist -- list of SCANNOs. |
---|
| 342 | """ |
---|
| 343 | self.gridder._setscanlist( scanlist ) |
---|
| 344 | |
---|
| 345 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ): |
---|
| 346 | """ |
---|
| 347 | Define spatial grid. |
---|
| 348 | |
---|
| 349 | First two parameters, nx and ny, define number of pixels of |
---|
| 350 | the grid. If which of those is not specified, it will be set |
---|
| 351 | to the same value as the other. If none of them are specified, |
---|
| 352 | it will be determined from map extent and cell size. |
---|
| 353 | |
---|
| 354 | Next two parameters, cellx and celly, define size of pixel. |
---|
| 355 | You should set those parameters as string, which is constructed |
---|
| 356 | numerical value and unit, e.g. '0.5arcmin', or numerical value. |
---|
| 357 | If those values are specified as numerical value, their units |
---|
| 358 | will be assumed to 'arcsec'. If which of those is not specified, |
---|
| 359 | it will be set to the same value as the other. If none of them |
---|
| 360 | are specified, it will be determined from map extent and number |
---|
| 361 | of pixels, or set to '1arcmin' if neither nx nor ny is set. |
---|
| 362 | |
---|
| 363 | The last parameter, center, define the central coordinate of |
---|
| 364 | the grid. You should specify its value as a string, like, |
---|
| 365 | |
---|
| 366 | 'J2000 05h08m50s -16d23m30s' |
---|
| 367 | |
---|
| 368 | or |
---|
| 369 | |
---|
| 370 | 'J2000 05:08:50 -16.23.30' |
---|
| 371 | |
---|
| 372 | You can omit equinox when you specify center coordinate. In that |
---|
| 373 | case, J2000 is assumed. If center is not specified, it will be |
---|
| 374 | determined from the observed positions of input data. |
---|
| 375 | |
---|
| 376 | nx -- number of pixels along x (R.A.) direction. |
---|
| 377 | ny -- number of pixels along y (Dec.) direction. |
---|
| 378 | cellx -- size of pixel in x (R.A.) direction. |
---|
| 379 | celly -- size of pixel in y (Dec.) direction. |
---|
| 380 | center -- central position of the grid. |
---|
| 381 | """ |
---|
| 382 | if not isinstance( cellx, str ): |
---|
| 383 | cellx = '%sarcsec'%(cellx) |
---|
| 384 | if not isinstance( celly, str ): |
---|
| 385 | celly = '%sarcsec'%(celly) |
---|
| 386 | self.gridder._defineimage( nx, ny, cellx, celly, center ) |
---|
| 387 | |
---|
| 388 | def setFunc( self, func='box', width=-1 ): |
---|
| 389 | """ |
---|
| 390 | Set convolution function. Possible options are 'box' (Box-car, |
---|
| 391 | default), 'sf' (prolate spheroidal), and 'gauss' (Gaussian). |
---|
| 392 | Width of convolution function can be set using width parameter. |
---|
| 393 | By default (-1), width is automatically set depending on each |
---|
| 394 | convolution function. Default values for width are: |
---|
| 395 | |
---|
| 396 | 'box': 1 pixel |
---|
| 397 | 'sf': 3 pixels |
---|
| 398 | 'gauss': 1 pixel (width is used as HWHM) |
---|
| 399 | |
---|
| 400 | func -- Function type ('box', 'sf', 'gauss'). |
---|
| 401 | width -- Width of convolution function. Default (-1) is to |
---|
| 402 | choose pre-defined value for each convolution function. |
---|
| 403 | """ |
---|
[2671] | 404 | fname = func.upper() |
---|
| 405 | if fname == 'GAUSS' or fname == 'GJINC': |
---|
| 406 | gw = str(gwidth) |
---|
| 407 | jw = str(jwidth) |
---|
| 408 | w = str(width) |
---|
| 409 | if w[0] == '-': w = '' |
---|
| 410 | #self.gridder._setfunc(fname, -1, w, gw, jw) |
---|
| 411 | self.gridder._setfunc(fname,convsupport=-1,gwidth=gw,jwidth=jw,truncate=w) |
---|
| 412 | else: |
---|
| 413 | self.gridder._setfunc( func, convsupport=width ) |
---|
[2593] | 414 | |
---|
| 415 | def setWeight( self, weightType='uniform' ): |
---|
| 416 | """ |
---|
| 417 | Set weight type. Possible options are 'uniform' (default), |
---|
| 418 | 'tint' (weight by integration time), 'tsys' (weight by |
---|
| 419 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time |
---|
| 420 | as well as Tsys: tint/Tsys**2). |
---|
| 421 | |
---|
| 422 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys') |
---|
| 423 | """ |
---|
| 424 | self.gridder._setweight( weightType ) |
---|
| 425 | |
---|
| 426 | def enableClip( self ): |
---|
| 427 | """ |
---|
| 428 | Enable min/max clipping. |
---|
| 429 | |
---|
| 430 | By default, min/max clipping is disabled so that you should |
---|
| 431 | call this method before actual gridding if you want to do |
---|
| 432 | clipping. |
---|
| 433 | """ |
---|
| 434 | self.gridder._enableclip() |
---|
| 435 | |
---|
| 436 | def disableClip( self ): |
---|
| 437 | """ |
---|
| 438 | Disable min/max clipping. |
---|
| 439 | """ |
---|
| 440 | self.gridder._disableclip() |
---|
| 441 | |
---|
| 442 | def grid( self ): |
---|
| 443 | """ |
---|
| 444 | Actual gridding which will be done based on several user inputs. |
---|
| 445 | """ |
---|
| 446 | self.gridder._grid() |
---|
| 447 | |
---|
| 448 | def getResult( self ): |
---|
| 449 | """ |
---|
| 450 | Return gridded data as a scantable. |
---|
| 451 | """ |
---|
[2594] | 452 | tp = 0 if rcParams['scantable.storage']=='memory' else 1 |
---|
| 453 | return scantable( self.gridder._get( tp ), average=False ) |
---|
[2671] | 454 | |
---|
| 455 | def plotFunc(self, clear=True): |
---|
| 456 | """ |
---|
| 457 | Support function to see the shape of current grid function. |
---|
[2593] | 458 | |
---|
[2671] | 459 | clear -- clear panel if True. Default is True. |
---|
| 460 | """ |
---|
| 461 | pl.figure(11) |
---|
| 462 | if clear: |
---|
| 463 | pl.clf() |
---|
| 464 | f = self.gridder._getfunc() |
---|
| 465 | convsampling = 100 |
---|
| 466 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float) |
---|
| 467 | pl.plot(a,f,'.-') |
---|
| 468 | pl.xlabel('pixel') |
---|
| 469 | pl.ylabel('convFunc') |
---|
| 470 | |
---|
[2356] | 471 | class _SDGridPlotter: |
---|
[2373] | 472 | def __init__( self, infile, outfile=None, ifno=-1 ): |
---|
[2390] | 473 | if isinstance( infile, str ): |
---|
| 474 | self.infile = [infile] |
---|
| 475 | else: |
---|
| 476 | self.infile = infile |
---|
[2356] | 477 | self.outfile = outfile |
---|
| 478 | if self.outfile is None: |
---|
[2390] | 479 | self.outfile = self.infile[0].rstrip('/')+'.grid' |
---|
[2356] | 480 | self.nx = -1 |
---|
| 481 | self.ny = -1 |
---|
| 482 | self.nchan = 0 |
---|
[2360] | 483 | self.npol = 0 |
---|
| 484 | self.pollist = [] |
---|
[2356] | 485 | self.cellx = 0.0 |
---|
| 486 | self.celly = 0.0 |
---|
| 487 | self.center = [0.0,0.0] |
---|
| 488 | self.nonzero = [[0.0],[0.0]] |
---|
[2367] | 489 | self.ifno = ifno |
---|
[2372] | 490 | self.tablein = None |
---|
| 491 | self.nrow = 0 |
---|
| 492 | self.blc = None |
---|
| 493 | self.trc = None |
---|
[2356] | 494 | self.get() |
---|
| 495 | |
---|
| 496 | def get( self ): |
---|
| 497 | s = scantable( self.outfile, average=False ) |
---|
[2387] | 498 | self.nchan = len(s._getspectrum(0)) |
---|
[2356] | 499 | nrow = s.nrow() |
---|
[2360] | 500 | pols = numpy.ones( nrow, dtype=int ) |
---|
[2356] | 501 | for i in xrange(nrow): |
---|
[2360] | 502 | pols[i] = s.getpol(i) |
---|
| 503 | self.pollist, indices = numpy.unique( pols, return_inverse=True ) |
---|
| 504 | self.npol = len(self.pollist) |
---|
| 505 | self.pollist = self.pollist[indices[:self.npol]] |
---|
| 506 | #print 'pollist=',self.pollist |
---|
| 507 | #print 'npol=',self.npol |
---|
| 508 | #print 'nrow=',nrow |
---|
[2356] | 509 | |
---|
[2669] | 510 | idx = 1 |
---|
| 511 | d0 = s.get_direction( 0 ).split()[-2] |
---|
| 512 | d = s.get_direction(self.npol*idx) |
---|
| 513 | while( d is not None \ |
---|
| 514 | and d.split()[-2] != d0): |
---|
[2356] | 515 | idx += 1 |
---|
[2669] | 516 | d = s.get_direction(self.npol*idx) |
---|
[2367] | 517 | |
---|
[2372] | 518 | self.nx = idx |
---|
| 519 | self.ny = nrow / (self.npol * idx ) |
---|
[2360] | 520 | #print 'nx,ny=',self.nx,self.ny |
---|
[2372] | 521 | |
---|
| 522 | self.blc = s.get_directionval( 0 ) |
---|
| 523 | self.trc = s.get_directionval( nrow-self.npol ) |
---|
| 524 | #print self.blc |
---|
| 525 | #print self.trc |
---|
[2421] | 526 | if nrow > 1: |
---|
| 527 | incrx = s.get_directionval( self.npol ) |
---|
| 528 | incry = s.get_directionval( self.nx*self.npol ) |
---|
| 529 | else: |
---|
| 530 | incrx = [0.0,0.0] |
---|
| 531 | incry = [0.0,0.0] |
---|
[2372] | 532 | self.cellx = abs( self.blc[0] - incrx[0] ) |
---|
| 533 | self.celly = abs( self.blc[1] - incry[1] ) |
---|
[2360] | 534 | #print 'cellx,celly=',self.cellx,self.celly |
---|
[2356] | 535 | |
---|
[2375] | 536 | def plot( self, chan=-1, pol=-1, plotobs=False, plotgrid=False ): |
---|
[2360] | 537 | if pol < 0: |
---|
| 538 | opt = 'averaged over pol' |
---|
[2356] | 539 | else: |
---|
[2360] | 540 | opt = 'pol %s'%(pol) |
---|
[2419] | 541 | if type(chan) is list: |
---|
| 542 | opt += ', averaged over channel %s-%s'%(chan[0],chan[1]) |
---|
| 543 | elif chan < 0: |
---|
[2360] | 544 | opt += ', averaged over channel' |
---|
| 545 | else: |
---|
| 546 | opt += ', channel %s'%(chan) |
---|
[2423] | 547 | data = self.getData( chan, pol ) |
---|
[2669] | 548 | #data = numpy.fliplr( data ) |
---|
[2360] | 549 | title = 'Gridded Image (%s)'%(opt) |
---|
[2356] | 550 | pl.figure(10) |
---|
| 551 | pl.clf() |
---|
[2372] | 552 | # plot grid position |
---|
[2375] | 553 | if plotgrid: |
---|
| 554 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float) |
---|
| 555 | #print 'len(x)=',len(x) |
---|
| 556 | #print 'x=',x |
---|
| 557 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1] |
---|
| 558 | #print 'len(ybase)=',len(ybase) |
---|
| 559 | incr = self.celly |
---|
| 560 | for iy in xrange(self.ny): |
---|
| 561 | y = ybase + iy * incr |
---|
| 562 | #print y |
---|
| 563 | pl.plot(x,y,',',color='blue') |
---|
[2372] | 564 | # plot observed position |
---|
[2375] | 565 | if plotobs: |
---|
[2390] | 566 | for i in xrange(len(self.infile)): |
---|
| 567 | self.createTableIn( self.infile[i] ) |
---|
| 568 | irow = 0 |
---|
| 569 | while ( irow < self.nrow ): |
---|
| 570 | chunk = self.getPointingChunk( irow ) |
---|
| 571 | #print chunk |
---|
| 572 | pl.plot(chunk[0],chunk[1],',',color='green') |
---|
| 573 | irow += chunk.shape[1] |
---|
| 574 | #print irow |
---|
[2372] | 575 | # show image |
---|
[2423] | 576 | extent=[self.trc[0]+0.5*self.cellx, |
---|
| 577 | self.blc[0]-0.5*self.cellx, |
---|
[2372] | 578 | self.blc[1]-0.5*self.celly, |
---|
| 579 | self.trc[1]+0.5*self.celly] |
---|
[2420] | 580 | deccorr = 1.0/numpy.cos(0.5*(self.blc[1]+self.trc[1])) |
---|
[2356] | 581 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest') |
---|
| 582 | pl.colorbar() |
---|
| 583 | pl.xlabel('R.A. [rad]') |
---|
| 584 | pl.ylabel('Dec. [rad]') |
---|
[2420] | 585 | ax = pl.axes() |
---|
| 586 | ax.set_aspect(deccorr) |
---|
[2358] | 587 | pl.title( title ) |
---|
[2367] | 588 | |
---|
[2390] | 589 | def createTableIn( self, tab ): |
---|
| 590 | del self.tablein |
---|
| 591 | self.tablein = scantable( tab, average=False ) |
---|
[2387] | 592 | if self.ifno < 0: |
---|
| 593 | ifno = self.tablein.getif(0) |
---|
[2669] | 594 | #print 'ifno=',ifno |
---|
[2387] | 595 | else: |
---|
| 596 | ifno = self.ifno |
---|
| 597 | sel = selector() |
---|
| 598 | sel.set_ifs( ifno ) |
---|
[2390] | 599 | self.tablein.set_selection( sel ) |
---|
[2387] | 600 | self.nchan = len(self.tablein._getspectrum(0)) |
---|
[2390] | 601 | self.nrow = self.tablein.nrow() |
---|
[2387] | 602 | del sel |
---|
| 603 | |
---|
| 604 | |
---|
[2372] | 605 | def getPointingChunk( self, irow ): |
---|
| 606 | numchunk = 1000 |
---|
| 607 | nrow = min( self.nrow-irow, numchunk ) |
---|
| 608 | #print 'nrow=',nrow |
---|
| 609 | v = numpy.zeros( (2,nrow), dtype=float ) |
---|
| 610 | idx = 0 |
---|
| 611 | for i in xrange(irow,irow+nrow): |
---|
| 612 | d = self.tablein.get_directionval( i ) |
---|
| 613 | v[0,idx] = d[0] |
---|
| 614 | v[1,idx] = d[1] |
---|
| 615 | idx += 1 |
---|
| 616 | return v |
---|
| 617 | |
---|
[2367] | 618 | def getData( self, chan=-1, pol=-1 ): |
---|
[2419] | 619 | if type(chan) == list: |
---|
| 620 | spectra = self.__chanAverage(start=chan[0],end=chan[1]) |
---|
| 621 | elif chan == -1: |
---|
[2367] | 622 | spectra = self.__chanAverage() |
---|
| 623 | else: |
---|
| 624 | spectra = self.__chanIndex( chan ) |
---|
[2372] | 625 | data = spectra.reshape( (self.npol,self.ny,self.nx) ) |
---|
[2367] | 626 | if pol == -1: |
---|
| 627 | retval = data.mean(axis=0) |
---|
| 628 | else: |
---|
| 629 | retval = data[pol] |
---|
| 630 | return retval |
---|
| 631 | |
---|
[2419] | 632 | def __chanAverage( self, start=-1, end=-1 ): |
---|
[2367] | 633 | s = scantable( self.outfile, average=False ) |
---|
[2372] | 634 | nrow = s.nrow() |
---|
[2367] | 635 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
---|
| 636 | irow = 0 |
---|
| 637 | sp = [0 for i in xrange(self.nchan)] |
---|
[2419] | 638 | if start < 0: |
---|
| 639 | start = 0 |
---|
| 640 | if end < 0: |
---|
| 641 | end = self.nchan |
---|
[2367] | 642 | for i in xrange(nrow/self.npol): |
---|
| 643 | for ip in xrange(self.npol): |
---|
[2419] | 644 | sp = s._getspectrum( irow )[start:end] |
---|
[2367] | 645 | spectra[ip,i] = numpy.mean( sp ) |
---|
| 646 | irow += 1 |
---|
[2419] | 647 | |
---|
[2367] | 648 | return spectra |
---|
| 649 | |
---|
| 650 | def __chanIndex( self, idx ): |
---|
| 651 | s = scantable( self.outfile, average=False ) |
---|
[2372] | 652 | nrow = s.nrow() |
---|
[2367] | 653 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
---|
| 654 | irow = 0 |
---|
| 655 | sp = [0 for i in xrange(self.nchan)] |
---|
| 656 | for i in xrange(nrow/self.npol): |
---|
| 657 | for ip in xrange(self.npol): |
---|
| 658 | sp = s._getspectrum( irow ) |
---|
| 659 | spectra[ip,i] = sp[idx] |
---|
| 660 | irow += 1 |
---|
| 661 | return spectra |
---|
| 662 | |
---|
| 663 | |
---|