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, stgrid2 |
---|
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', convsupport=3 ) |
---|
28 | # enable min/max clipping |
---|
29 | g.enableClip() |
---|
30 | # or, disable min/max clipping |
---|
31 | #g.disableClip() |
---|
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 | """ |
---|
39 | def __init__( self, infile ): |
---|
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 | """ |
---|
46 | self.outfile = None |
---|
47 | self.ifno = None |
---|
48 | self.gridder = stgrid() |
---|
49 | self.setData( infile ) |
---|
50 | |
---|
51 | def setData( self, infile ): |
---|
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 | """ |
---|
58 | if isinstance( infile, str ): |
---|
59 | self.gridder._setin( infile ) |
---|
60 | else: |
---|
61 | self.gridder._setfiles( infile ) |
---|
62 | self.infile = infile |
---|
63 | |
---|
64 | def setIF( self, ifno ): |
---|
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 | """ |
---|
73 | self.ifno = ifno |
---|
74 | self.gridder._setif( self.ifno ) |
---|
75 | |
---|
76 | def setPolList( self, pollist ): |
---|
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 | """ |
---|
83 | self.gridder._setpollist( pollist ) |
---|
84 | |
---|
85 | def setScanList( self, scanlist ): |
---|
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 | """ |
---|
92 | self.gridder._setscanlist( scanlist ) |
---|
93 | |
---|
94 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ): |
---|
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 |
---|
107 | will be assumed to 'arcsec'. If which of those is not specified, |
---|
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 ): |
---|
132 | cellx = '%sarcsec'%(cellx) |
---|
133 | if not isinstance( celly, str ): |
---|
134 | celly = '%sarcsec'%(celly) |
---|
135 | self.gridder._defineimage( nx, ny, cellx, celly, center ) |
---|
136 | |
---|
137 | def setFunc( self, func='box', convsupport=-1, truncate="-1", gwidth="-1", jwidth="-1" ): |
---|
138 | """ |
---|
139 | Set convolution function. Possible options are 'box' (Box-car, |
---|
140 | default), 'sf' (prolate spheroidal), 'gauss' (Gaussian), and |
---|
141 | 'gjinc' (Gaussian * Jinc). |
---|
142 | Width of convolution function can be set using several parameters. |
---|
143 | For 'box' and 'sf', we have one parameter, convsupport, that |
---|
144 | specifies a cut-off radius of the convlolution function. By default |
---|
145 | (-1), convsupport is automatically set depending on each convolution |
---|
146 | function. Default values for convsupport are: |
---|
147 | |
---|
148 | 'box': 1 pixel |
---|
149 | 'sf': 3 pixels |
---|
150 | |
---|
151 | For 'gauss', we have two parameters for convolution function, |
---|
152 | truncate and gwidth. The truncate is similar to convsupport |
---|
153 | except that truncate allows to specify its value as float or |
---|
154 | string consisting of numeric and unit (e.g. '10arcsec' or |
---|
155 | '3pixel'). Available units are angular units ('arcsec', 'arcmin', |
---|
156 | 'deg', etc.) and 'pixel'. Default unit is 'pixel' so that if |
---|
157 | you specify numerical value or string without unit to gwidth, |
---|
158 | the value will be interpreted as 'pixel'. gwidth is an HWHM of |
---|
159 | gaussian. It also allows string value. Interpretation of the |
---|
160 | value for gwidth is same as truncate. Default value for 'gauss' |
---|
161 | is |
---|
162 | |
---|
163 | gwidth: '-1' ---> sqrt(log(2.0)) pixel |
---|
164 | truncate: '-1' ---> 3*gwidth pixel |
---|
165 | |
---|
166 | For 'gjinc', there is an additional parameter jwidth that |
---|
167 | specifies a width of the jinc function whose functional form is |
---|
168 | |
---|
169 | jinc(x) = J_1(pi*x/jwidth) / (pi*x/jwidth) |
---|
170 | |
---|
171 | Default values for 'gjinc' is |
---|
172 | |
---|
173 | gwidth: '-1' ---> 2.52*sqrt(log(2.0)) pixel |
---|
174 | jwidth: '-1' ---> 1.55 |
---|
175 | truncate: '-1' ---> automatically truncate at first null |
---|
176 | |
---|
177 | Default values for gwidth and jwidth are taken from Mangum et al. |
---|
178 | (2007). |
---|
179 | |
---|
180 | func -- Function type ('box', 'sf', 'gauss', 'gjinc'). |
---|
181 | convsupport -- Width of convolution function. Default (-1) is |
---|
182 | to choose pre-defined value for each convolution |
---|
183 | function. Effective only for 'box' and 'sf'. |
---|
184 | truncate -- Truncation radius of the convolution function. |
---|
185 | Acceptable value is an integer or a float in units of |
---|
186 | pixel, or a string consisting of numeric plus unit. |
---|
187 | Default unit for the string is 'pixel'. Default (-1) |
---|
188 | is to choose pre-defined value for each convolution |
---|
189 | function. Effective only for 'gauss' and 'gjinc'. |
---|
190 | gwidth -- The HWHM of the gaussian. Acceptable value is an integer |
---|
191 | or a float in units of pixel, or a string consisting of |
---|
192 | numeric plus unit. Default unit for the string is 'pixel'. |
---|
193 | Default (-1) is to choose pre-defined value for each |
---|
194 | convolution function. Effective only for 'gauss' and |
---|
195 | 'gjinc'. |
---|
196 | jwidth -- The width of the jinc function. Acceptable value is an |
---|
197 | integer or a float in units of pixel, or a string |
---|
198 | consisting of numeric plus unit. Default unit for the |
---|
199 | string is 'pixel'. Default (-1) is to choose pre-defined |
---|
200 | value for each convolution function. Effective only for |
---|
201 | 'gjinc'. |
---|
202 | """ |
---|
203 | self.gridder._setfunc(func, |
---|
204 | convsupport=convsupport, |
---|
205 | truncate=truncate, |
---|
206 | gwidth=gwidth, |
---|
207 | jwidth=jwidth) |
---|
208 | |
---|
209 | def setWeight( self, weightType='uniform' ): |
---|
210 | """ |
---|
211 | Set weight type. Possible options are 'uniform' (default), |
---|
212 | 'tint' (weight by integration time), 'tsys' (weight by |
---|
213 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time |
---|
214 | as well as Tsys: tint/Tsys**2). |
---|
215 | |
---|
216 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys') |
---|
217 | """ |
---|
218 | self.gridder._setweight( weightType ) |
---|
219 | |
---|
220 | def enableClip( self ): |
---|
221 | """ |
---|
222 | Enable min/max clipping. |
---|
223 | |
---|
224 | By default, min/max clipping is disabled so that you should |
---|
225 | call this method before actual gridding if you want to do |
---|
226 | clipping. |
---|
227 | """ |
---|
228 | self.gridder._enableclip() |
---|
229 | |
---|
230 | def disableClip( self ): |
---|
231 | """ |
---|
232 | Disable min/max clipping. |
---|
233 | """ |
---|
234 | self.gridder._disableclip() |
---|
235 | |
---|
236 | def grid( self ): |
---|
237 | """ |
---|
238 | Actual gridding which will be done based on several user inputs. |
---|
239 | """ |
---|
240 | self.gridder._grid() |
---|
241 | |
---|
242 | def save( self, outfile='' ): |
---|
243 | """ |
---|
244 | Save result. By default, output data name will be constructed |
---|
245 | from first element of input data name list (e.g. 'input.asap.grid'). |
---|
246 | |
---|
247 | outfile -- output data name. |
---|
248 | """ |
---|
249 | self.outfile = self.gridder._save( outfile ) |
---|
250 | |
---|
251 | def plot( self, plotchan=-1, plotpol=-1, plotobs=False, plotgrid=False ): |
---|
252 | """ |
---|
253 | Plot gridded data. |
---|
254 | |
---|
255 | plotchan -- Which channel you want to plot. Default (-1) is |
---|
256 | to average all the channels. |
---|
257 | plotpol -- Which polarization component you want to plot. |
---|
258 | Default (-1) is to average all the polarization |
---|
259 | components. |
---|
260 | plotobs -- Also plot observed position if True. Default |
---|
261 | is False. Setting True for large amount of spectra |
---|
262 | might be time consuming. |
---|
263 | plotgrid -- Also plot grid center if True. Default is False. |
---|
264 | Setting True for large number of grids might be |
---|
265 | time consuming. |
---|
266 | """ |
---|
267 | import time |
---|
268 | t0=time.time() |
---|
269 | # to load scantable on disk |
---|
270 | storg = rcParams['scantable.storage'] |
---|
271 | rcParams['scantable.storage'] = 'disk' |
---|
272 | plotter = _SDGridPlotter( self.infile, self.outfile, self.ifno ) |
---|
273 | plotter.plot( chan=plotchan, pol=plotpol, plotobs=plotobs, plotgrid=plotgrid ) |
---|
274 | # back to original setup |
---|
275 | rcParams['scantable.storage'] = storg |
---|
276 | t1=time.time() |
---|
277 | asaplog.push('plot: elapsed time %s sec'%(t1-t0)) |
---|
278 | asaplog.post('DEBUG','asapgrid.plot') |
---|
279 | |
---|
280 | def plotFunc(self, clear=True): |
---|
281 | """ |
---|
282 | Support function to see the shape of current grid function. |
---|
283 | |
---|
284 | clear -- clear panel if True. Default is True. |
---|
285 | """ |
---|
286 | pl.figure(11) |
---|
287 | if clear: |
---|
288 | pl.clf() |
---|
289 | f = self.gridder._getfunc() |
---|
290 | convsampling = 100 |
---|
291 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float) |
---|
292 | pl.plot(a,f,'.-') |
---|
293 | pl.xlabel('pixel') |
---|
294 | pl.ylabel('convFunc') |
---|
295 | |
---|
296 | class asapgrid2: |
---|
297 | """ |
---|
298 | The asapgrid class is defined to convolve data onto regular |
---|
299 | spatial grid. Typical usage is as follows: |
---|
300 | |
---|
301 | # create asapgrid instance with input scantable |
---|
302 | s = scantable( 'testimage1.asap', average=False ) |
---|
303 | g = asapgrid( s ) |
---|
304 | # set IFNO if necessary |
---|
305 | g.setIF( 0 ) |
---|
306 | # set POLNOs if necessary |
---|
307 | g.setPolList( [0,1] ) |
---|
308 | # set SCANNOs if necessary |
---|
309 | g.setScanList( [22,23,24] ) |
---|
310 | # define image with full specification |
---|
311 | # you can skip some parameters (see help for defineImage) |
---|
312 | g.defineImage( nx=12, ny=12, cellx='10arcsec', celly='10arcsec', |
---|
313 | center='J2000 10h10m10s -5d05m05s' ) |
---|
314 | # set convolution function |
---|
315 | g.setFunc( func='sf', width=3 ) |
---|
316 | # enable min/max clipping |
---|
317 | g.enableClip() |
---|
318 | # or, disable min/max clipping |
---|
319 | #g.disableClip() |
---|
320 | # actual gridding |
---|
321 | g.grid() |
---|
322 | # get result as scantable |
---|
323 | sg = g.getResult() |
---|
324 | """ |
---|
325 | def __init__( self, scantab ): |
---|
326 | """ |
---|
327 | Create asapgrid instance. |
---|
328 | |
---|
329 | scantab -- input data as a scantable or a list of scantables |
---|
330 | to grid more than one data at once. |
---|
331 | """ |
---|
332 | self.outfile = None |
---|
333 | self.ifno = None |
---|
334 | self.gridder = stgrid2() |
---|
335 | self.setData( scantab ) |
---|
336 | |
---|
337 | def setData( self, scantab ): |
---|
338 | """ |
---|
339 | Set data to be processed. |
---|
340 | |
---|
341 | scantab -- input data as a scantable or a list of scantables |
---|
342 | to grid more than one data at once. |
---|
343 | """ |
---|
344 | if isinstance( scantab, scantable ): |
---|
345 | self.gridder._setin( scantab ) |
---|
346 | else: |
---|
347 | self.gridder._setfiles( scantab ) |
---|
348 | self.scantab = scantab |
---|
349 | |
---|
350 | def setIF( self, ifno ): |
---|
351 | """ |
---|
352 | Set IFNO to be processed. Currently, asapgrid allows to process |
---|
353 | only one IFNO for one gridding run even if the data contains |
---|
354 | multiple IFs. If you didn't specify IFNO, default value, which |
---|
355 | is IFNO in the first spectrum, will be processed. |
---|
356 | |
---|
357 | ifno -- IFNO to be processed. |
---|
358 | """ |
---|
359 | self.ifno = ifno |
---|
360 | self.gridder._setif( self.ifno ) |
---|
361 | |
---|
362 | def setPolList( self, pollist ): |
---|
363 | """ |
---|
364 | Set list of polarization components you want to process. |
---|
365 | If not specified, all POLNOs will be processed. |
---|
366 | |
---|
367 | pollist -- list of POLNOs. |
---|
368 | """ |
---|
369 | self.gridder._setpollist( pollist ) |
---|
370 | |
---|
371 | def setScanList( self, scanlist ): |
---|
372 | """ |
---|
373 | Set list of scans you want to process. If not specified, all |
---|
374 | scans will be processed. |
---|
375 | |
---|
376 | scanlist -- list of SCANNOs. |
---|
377 | """ |
---|
378 | self.gridder._setscanlist( scanlist ) |
---|
379 | |
---|
380 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ): |
---|
381 | """ |
---|
382 | Define spatial grid. |
---|
383 | |
---|
384 | First two parameters, nx and ny, define number of pixels of |
---|
385 | the grid. If which of those is not specified, it will be set |
---|
386 | to the same value as the other. If none of them are specified, |
---|
387 | it will be determined from map extent and cell size. |
---|
388 | |
---|
389 | Next two parameters, cellx and celly, define size of pixel. |
---|
390 | You should set those parameters as string, which is constructed |
---|
391 | numerical value and unit, e.g. '0.5arcmin', or numerical value. |
---|
392 | If those values are specified as numerical value, their units |
---|
393 | will be assumed to 'arcsec'. If which of those is not specified, |
---|
394 | it will be set to the same value as the other. If none of them |
---|
395 | are specified, it will be determined from map extent and number |
---|
396 | of pixels, or set to '1arcmin' if neither nx nor ny is set. |
---|
397 | |
---|
398 | The last parameter, center, define the central coordinate of |
---|
399 | the grid. You should specify its value as a string, like, |
---|
400 | |
---|
401 | 'J2000 05h08m50s -16d23m30s' |
---|
402 | |
---|
403 | or |
---|
404 | |
---|
405 | 'J2000 05:08:50 -16.23.30' |
---|
406 | |
---|
407 | You can omit equinox when you specify center coordinate. In that |
---|
408 | case, J2000 is assumed. If center is not specified, it will be |
---|
409 | determined from the observed positions of input data. |
---|
410 | |
---|
411 | nx -- number of pixels along x (R.A.) direction. |
---|
412 | ny -- number of pixels along y (Dec.) direction. |
---|
413 | cellx -- size of pixel in x (R.A.) direction. |
---|
414 | celly -- size of pixel in y (Dec.) direction. |
---|
415 | center -- central position of the grid. |
---|
416 | """ |
---|
417 | if not isinstance( cellx, str ): |
---|
418 | cellx = '%sarcsec'%(cellx) |
---|
419 | if not isinstance( celly, str ): |
---|
420 | celly = '%sarcsec'%(celly) |
---|
421 | self.gridder._defineimage( nx, ny, cellx, celly, center ) |
---|
422 | |
---|
423 | def setFunc( self, func='box', width=-1 ): |
---|
424 | """ |
---|
425 | Set convolution function. Possible options are 'box' (Box-car, |
---|
426 | default), 'sf' (prolate spheroidal), and 'gauss' (Gaussian). |
---|
427 | Width of convolution function can be set using width parameter. |
---|
428 | By default (-1), width is automatically set depending on each |
---|
429 | convolution function. Default values for width are: |
---|
430 | |
---|
431 | 'box': 1 pixel |
---|
432 | 'sf': 3 pixels |
---|
433 | 'gauss': 1 pixel (width is used as HWHM) |
---|
434 | |
---|
435 | func -- Function type ('box', 'sf', 'gauss'). |
---|
436 | width -- Width of convolution function. Default (-1) is to |
---|
437 | choose pre-defined value for each convolution function. |
---|
438 | """ |
---|
439 | fname = func.upper() |
---|
440 | if fname == 'GAUSS' or fname == 'GJINC': |
---|
441 | gw = str(gwidth) |
---|
442 | jw = str(jwidth) |
---|
443 | w = str(width) |
---|
444 | if w[0] == '-': w = '' |
---|
445 | #self.gridder._setfunc(fname, -1, w, gw, jw) |
---|
446 | self.gridder._setfunc(fname,convsupport=-1,gwidth=gw,jwidth=jw,truncate=w) |
---|
447 | else: |
---|
448 | self.gridder._setfunc( func, convsupport=width ) |
---|
449 | |
---|
450 | def setWeight( self, weightType='uniform' ): |
---|
451 | """ |
---|
452 | Set weight type. Possible options are 'uniform' (default), |
---|
453 | 'tint' (weight by integration time), 'tsys' (weight by |
---|
454 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time |
---|
455 | as well as Tsys: tint/Tsys**2). |
---|
456 | |
---|
457 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys') |
---|
458 | """ |
---|
459 | self.gridder._setweight( weightType ) |
---|
460 | |
---|
461 | def enableClip( self ): |
---|
462 | """ |
---|
463 | Enable min/max clipping. |
---|
464 | |
---|
465 | By default, min/max clipping is disabled so that you should |
---|
466 | call this method before actual gridding if you want to do |
---|
467 | clipping. |
---|
468 | """ |
---|
469 | self.gridder._enableclip() |
---|
470 | |
---|
471 | def disableClip( self ): |
---|
472 | """ |
---|
473 | Disable min/max clipping. |
---|
474 | """ |
---|
475 | self.gridder._disableclip() |
---|
476 | |
---|
477 | def grid( self ): |
---|
478 | """ |
---|
479 | Actual gridding which will be done based on several user inputs. |
---|
480 | """ |
---|
481 | self.gridder._grid() |
---|
482 | |
---|
483 | def getResult( self ): |
---|
484 | """ |
---|
485 | Return gridded data as a scantable. |
---|
486 | """ |
---|
487 | tp = 0 if rcParams['scantable.storage']=='memory' else 1 |
---|
488 | return scantable( self.gridder._get( tp ), average=False ) |
---|
489 | |
---|
490 | def plotFunc(self, clear=True): |
---|
491 | """ |
---|
492 | Support function to see the shape of current grid function. |
---|
493 | |
---|
494 | clear -- clear panel if True. Default is True. |
---|
495 | """ |
---|
496 | pl.figure(11) |
---|
497 | if clear: |
---|
498 | pl.clf() |
---|
499 | f = self.gridder._getfunc() |
---|
500 | convsampling = 100 |
---|
501 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float) |
---|
502 | pl.plot(a,f,'.-') |
---|
503 | pl.xlabel('pixel') |
---|
504 | pl.ylabel('convFunc') |
---|
505 | |
---|
506 | class _SDGridPlotter: |
---|
507 | def __init__( self, infile, outfile=None, ifno=-1 ): |
---|
508 | if isinstance( infile, str ): |
---|
509 | self.infile = [infile] |
---|
510 | else: |
---|
511 | self.infile = infile |
---|
512 | self.outfile = outfile |
---|
513 | if self.outfile is None: |
---|
514 | self.outfile = self.infile[0].rstrip('/')+'.grid' |
---|
515 | self.nx = -1 |
---|
516 | self.ny = -1 |
---|
517 | self.nchan = 0 |
---|
518 | self.npol = 0 |
---|
519 | self.pollist = [] |
---|
520 | self.cellx = 0.0 |
---|
521 | self.celly = 0.0 |
---|
522 | self.center = [0.0,0.0] |
---|
523 | self.nonzero = [[0.0],[0.0]] |
---|
524 | self.ifno = ifno |
---|
525 | self.tablein = None |
---|
526 | self.nrow = 0 |
---|
527 | self.blc = None |
---|
528 | self.trc = None |
---|
529 | self.get() |
---|
530 | |
---|
531 | def get( self ): |
---|
532 | s = scantable( self.outfile, average=False ) |
---|
533 | self.nchan = len(s._getspectrum(0)) |
---|
534 | nrow = s.nrow() |
---|
535 | pols = numpy.ones( nrow, dtype=int ) |
---|
536 | for i in xrange(nrow): |
---|
537 | pols[i] = s.getpol(i) |
---|
538 | self.pollist, indices = numpy.unique( pols, return_inverse=True ) |
---|
539 | self.npol = len(self.pollist) |
---|
540 | self.pollist = self.pollist[indices[:self.npol]] |
---|
541 | #print 'pollist=',self.pollist |
---|
542 | #print 'npol=',self.npol |
---|
543 | #print 'nrow=',nrow |
---|
544 | |
---|
545 | idx = 1 |
---|
546 | d0 = s.get_direction( 0 ).split()[-2] |
---|
547 | d = s.get_direction(self.npol*idx) |
---|
548 | while( d is not None \ |
---|
549 | and d.split()[-2] != d0): |
---|
550 | idx += 1 |
---|
551 | d = s.get_direction(self.npol*idx) |
---|
552 | |
---|
553 | self.nx = idx |
---|
554 | self.ny = nrow / (self.npol * idx ) |
---|
555 | #print 'nx,ny=',self.nx,self.ny |
---|
556 | |
---|
557 | self.blc = s.get_directionval( 0 ) |
---|
558 | self.trc = s.get_directionval( nrow-self.npol ) |
---|
559 | #print self.blc |
---|
560 | #print self.trc |
---|
561 | if nrow > 1: |
---|
562 | incrx = s.get_directionval( self.npol ) |
---|
563 | incry = s.get_directionval( self.nx*self.npol ) |
---|
564 | else: |
---|
565 | incrx = [0.0,0.0] |
---|
566 | incry = [0.0,0.0] |
---|
567 | self.cellx = abs( self.blc[0] - incrx[0] ) |
---|
568 | self.celly = abs( self.blc[1] - incry[1] ) |
---|
569 | #print 'cellx,celly=',self.cellx,self.celly |
---|
570 | |
---|
571 | def plot( self, chan=-1, pol=-1, plotobs=False, plotgrid=False ): |
---|
572 | if pol < 0: |
---|
573 | opt = 'averaged over pol' |
---|
574 | else: |
---|
575 | opt = 'pol %s'%(pol) |
---|
576 | if type(chan) is list: |
---|
577 | opt += ', averaged over channel %s-%s'%(chan[0],chan[1]) |
---|
578 | elif chan < 0: |
---|
579 | opt += ', averaged over channel' |
---|
580 | else: |
---|
581 | opt += ', channel %s'%(chan) |
---|
582 | data = self.getData( chan, pol ) |
---|
583 | #data = numpy.fliplr( data ) |
---|
584 | title = 'Gridded Image (%s)'%(opt) |
---|
585 | pl.figure(10) |
---|
586 | pl.clf() |
---|
587 | # plot grid position |
---|
588 | if plotgrid: |
---|
589 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float) |
---|
590 | #print 'len(x)=',len(x) |
---|
591 | #print 'x=',x |
---|
592 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1] |
---|
593 | #print 'len(ybase)=',len(ybase) |
---|
594 | incr = self.celly |
---|
595 | for iy in xrange(self.ny): |
---|
596 | y = ybase + iy * incr |
---|
597 | #print y |
---|
598 | pl.plot(x,y,',',color='blue') |
---|
599 | # plot observed position |
---|
600 | if plotobs: |
---|
601 | for i in xrange(len(self.infile)): |
---|
602 | self.createTableIn( self.infile[i] ) |
---|
603 | irow = 0 |
---|
604 | while ( irow < self.nrow ): |
---|
605 | chunk = self.getPointingChunk( irow ) |
---|
606 | #print chunk |
---|
607 | pl.plot(chunk[0],chunk[1],',',color='green') |
---|
608 | irow += chunk.shape[1] |
---|
609 | #print irow |
---|
610 | # show image |
---|
611 | extent=[self.trc[0]+0.5*self.cellx, |
---|
612 | self.blc[0]-0.5*self.cellx, |
---|
613 | self.blc[1]-0.5*self.celly, |
---|
614 | self.trc[1]+0.5*self.celly] |
---|
615 | deccorr = 1.0/numpy.cos(0.5*(self.blc[1]+self.trc[1])) |
---|
616 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest') |
---|
617 | pl.colorbar() |
---|
618 | pl.xlabel('R.A. [rad]') |
---|
619 | pl.ylabel('Dec. [rad]') |
---|
620 | ax = pl.axes() |
---|
621 | ax.set_aspect(deccorr) |
---|
622 | pl.title( title ) |
---|
623 | |
---|
624 | def createTableIn( self, tab ): |
---|
625 | del self.tablein |
---|
626 | self.tablein = scantable( tab, average=False ) |
---|
627 | if self.ifno < 0: |
---|
628 | ifno = self.tablein.getif(0) |
---|
629 | #print 'ifno=',ifno |
---|
630 | else: |
---|
631 | ifno = self.ifno |
---|
632 | sel = selector() |
---|
633 | sel.set_ifs( ifno ) |
---|
634 | self.tablein.set_selection( sel ) |
---|
635 | self.nchan = len(self.tablein._getspectrum(0)) |
---|
636 | self.nrow = self.tablein.nrow() |
---|
637 | del sel |
---|
638 | |
---|
639 | |
---|
640 | def getPointingChunk( self, irow ): |
---|
641 | numchunk = 1000 |
---|
642 | nrow = min( self.nrow-irow, numchunk ) |
---|
643 | #print 'nrow=',nrow |
---|
644 | v = numpy.zeros( (2,nrow), dtype=float ) |
---|
645 | idx = 0 |
---|
646 | for i in xrange(irow,irow+nrow): |
---|
647 | d = self.tablein.get_directionval( i ) |
---|
648 | v[0,idx] = d[0] |
---|
649 | v[1,idx] = d[1] |
---|
650 | idx += 1 |
---|
651 | return v |
---|
652 | |
---|
653 | def getData( self, chan=-1, pol=-1 ): |
---|
654 | if type(chan) == list: |
---|
655 | spectra = self.__chanAverage(start=chan[0],end=chan[1]) |
---|
656 | elif chan == -1: |
---|
657 | spectra = self.__chanAverage() |
---|
658 | else: |
---|
659 | spectra = self.__chanIndex( chan ) |
---|
660 | data = spectra.reshape( (self.npol,self.ny,self.nx) ) |
---|
661 | if pol == -1: |
---|
662 | retval = data.mean(axis=0) |
---|
663 | else: |
---|
664 | retval = data[pol] |
---|
665 | return retval |
---|
666 | |
---|
667 | def __chanAverage( self, start=-1, end=-1 ): |
---|
668 | s = scantable( self.outfile, average=False ) |
---|
669 | nrow = s.nrow() |
---|
670 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
---|
671 | irow = 0 |
---|
672 | sp = [0 for i in xrange(self.nchan)] |
---|
673 | if start < 0: |
---|
674 | start = 0 |
---|
675 | if end < 0: |
---|
676 | end = self.nchan |
---|
677 | for i in xrange(nrow/self.npol): |
---|
678 | for ip in xrange(self.npol): |
---|
679 | sp = s._getspectrum( irow )[start:end] |
---|
680 | spectra[ip,i] = numpy.mean( sp ) |
---|
681 | irow += 1 |
---|
682 | |
---|
683 | return spectra |
---|
684 | |
---|
685 | def __chanIndex( self, idx ): |
---|
686 | s = scantable( self.outfile, average=False ) |
---|
687 | nrow = s.nrow() |
---|
688 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
---|
689 | irow = 0 |
---|
690 | sp = [0 for i in xrange(self.nchan)] |
---|
691 | for i in xrange(nrow/self.npol): |
---|
692 | for ip in xrange(self.npol): |
---|
693 | sp = s._getspectrum( irow ) |
---|
694 | spectra[ip,i] = sp[idx] |
---|
695 | irow += 1 |
---|
696 | return spectra |
---|
697 | |
---|
698 | |
---|