1 | from asap.scantable import scantable |
---|
2 | from asap import rcParams |
---|
3 | from asap import print_log |
---|
4 | from asap import selector |
---|
5 | from asap import asaplog |
---|
6 | from asap import asaplotgui |
---|
7 | |
---|
8 | def average_time(*args, **kwargs): |
---|
9 | """ |
---|
10 | Return the (time) average of a scan or list of scans. [in channels only] |
---|
11 | The cursor of the output scan is set to 0 |
---|
12 | Parameters: |
---|
13 | one scan or comma separated scans or a list of scans |
---|
14 | mask: an optional mask (only used for 'var' and 'tsys' weighting) |
---|
15 | scanav: True averages each scan separately. |
---|
16 | False (default) averages all scans together, |
---|
17 | weight: Weighting scheme. |
---|
18 | 'none' (mean no weight) |
---|
19 | 'var' (1/var(spec) weighted) |
---|
20 | 'tsys' (1/Tsys**2 weighted) |
---|
21 | 'tint' (integration time weighted) |
---|
22 | 'tintsys' (Tint/Tsys**2) |
---|
23 | 'median' ( median averaging) |
---|
24 | align: align the spectra in velocity before averaging. It takes |
---|
25 | the time of the first spectrum in the first scantable |
---|
26 | as reference time. |
---|
27 | Example: |
---|
28 | # return a time averaged scan from scana and scanb |
---|
29 | # without using a mask |
---|
30 | scanav = average_time(scana,scanb) |
---|
31 | # or equivalent |
---|
32 | # scanav = average_time([scana, scanb]) |
---|
33 | # return the (time) averaged scan, i.e. the average of |
---|
34 | # all correlator cycles |
---|
35 | scanav = average_time(scan, scanav=True) |
---|
36 | """ |
---|
37 | scanav = False |
---|
38 | if kwargs.has_key('scanav'): |
---|
39 | scanav = kwargs.get('scanav') |
---|
40 | weight = 'tint' |
---|
41 | if kwargs.has_key('weight'): |
---|
42 | weight = kwargs.get('weight') |
---|
43 | mask = () |
---|
44 | if kwargs.has_key('mask'): |
---|
45 | mask = kwargs.get('mask') |
---|
46 | align = False |
---|
47 | if kwargs.has_key('align'): |
---|
48 | align = kwargs.get('align') |
---|
49 | compel = False |
---|
50 | if kwargs.has_key('compel'): |
---|
51 | compel = kwargs.get('compel') |
---|
52 | varlist = vars() |
---|
53 | if isinstance(args[0],list): |
---|
54 | lst = args[0] |
---|
55 | elif isinstance(args[0],tuple): |
---|
56 | lst = list(args[0]) |
---|
57 | else: |
---|
58 | lst = list(args) |
---|
59 | |
---|
60 | del varlist["kwargs"] |
---|
61 | varlist["args"] = "%d scantables" % len(lst) |
---|
62 | # need special formatting here for history... |
---|
63 | |
---|
64 | from asap._asap import stmath |
---|
65 | stm = stmath() |
---|
66 | for s in lst: |
---|
67 | if not isinstance(s,scantable): |
---|
68 | msg = "Please give a list of scantables" |
---|
69 | if rcParams['verbose']: |
---|
70 | #print msg |
---|
71 | asaplog.push(msg) |
---|
72 | print_log('ERROR') |
---|
73 | return |
---|
74 | else: |
---|
75 | raise TypeError(msg) |
---|
76 | if scanav: scanav = "SCAN" |
---|
77 | else: scanav = "NONE" |
---|
78 | alignedlst = [] |
---|
79 | if align: |
---|
80 | refepoch = lst[0].get_time(0) |
---|
81 | for scan in lst: |
---|
82 | alignedlst.append(scan.freq_align(refepoch,insitu=False)) |
---|
83 | else: |
---|
84 | alignedlst = lst |
---|
85 | if weight.upper() == 'MEDIAN': |
---|
86 | # median doesn't support list of scantables - merge first |
---|
87 | merged = None |
---|
88 | if len(alignedlst) > 1: |
---|
89 | merged = merge(alignedlst) |
---|
90 | else: |
---|
91 | merged = alignedlst[0] |
---|
92 | s = scantable(stm._averagechannel(merged, 'MEDIAN', scanav)) |
---|
93 | del merged |
---|
94 | else: |
---|
95 | #s = scantable(stm._average(alignedlst, mask, weight.upper(), scanav)) |
---|
96 | s = scantable(stm._new_average(alignedlst, compel, mask, weight.upper(), scanav)) |
---|
97 | s._add_history("average_time",varlist) |
---|
98 | print_log() |
---|
99 | return s |
---|
100 | |
---|
101 | def quotient(source, reference, preserve=True): |
---|
102 | """ |
---|
103 | Return the quotient of a 'source' (signal) scan and a 'reference' scan. |
---|
104 | The reference can have just one scan, even if the signal has many. Otherwise |
---|
105 | they must have the same number of scans. |
---|
106 | The cursor of the output scan is set to 0 |
---|
107 | Parameters: |
---|
108 | source: the 'on' scan |
---|
109 | reference: the 'off' scan |
---|
110 | preserve: you can preserve (default) the continuum or |
---|
111 | remove it. The equations used are |
---|
112 | preserve: Output = Toff * (on/off) - Toff |
---|
113 | remove: Output = Toff * (on/off) - Ton |
---|
114 | """ |
---|
115 | varlist = vars() |
---|
116 | from asap._asap import stmath |
---|
117 | stm = stmath() |
---|
118 | stm._setinsitu(False) |
---|
119 | s = scantable(stm._quotient(source, reference, preserve)) |
---|
120 | s._add_history("quotient",varlist) |
---|
121 | print_log() |
---|
122 | return s |
---|
123 | |
---|
124 | def dototalpower(calon, caloff, tcalval=0.0): |
---|
125 | """ |
---|
126 | Do calibration for CAL on,off signals. |
---|
127 | Adopted from GBTIDL dototalpower |
---|
128 | Parameters: |
---|
129 | calon: the 'cal on' subintegration |
---|
130 | caloff: the 'cal off' subintegration |
---|
131 | tcalval: user supplied Tcal value |
---|
132 | """ |
---|
133 | varlist = vars() |
---|
134 | from asap._asap import stmath |
---|
135 | stm = stmath() |
---|
136 | stm._setinsitu(False) |
---|
137 | s = scantable(stm._dototalpower(calon, caloff, tcalval)) |
---|
138 | s._add_history("dototalpower",varlist) |
---|
139 | print_log() |
---|
140 | return s |
---|
141 | |
---|
142 | def dosigref(sig, ref, smooth, tsysval=0.0, tauval=0.0): |
---|
143 | """ |
---|
144 | Calculate a quotient (sig-ref/ref * Tsys) |
---|
145 | Adopted from GBTIDL dosigref |
---|
146 | Parameters: |
---|
147 | sig: on source data |
---|
148 | ref: reference data |
---|
149 | smooth: width of box car smoothing for reference |
---|
150 | tsysval: user specified Tsys (scalar only) |
---|
151 | tauval: user specified Tau (required if tsysval is set) |
---|
152 | """ |
---|
153 | varlist = vars() |
---|
154 | from asap._asap import stmath |
---|
155 | stm = stmath() |
---|
156 | stm._setinsitu(False) |
---|
157 | s = scantable(stm._dosigref(sig, ref, smooth, tsysval, tauval)) |
---|
158 | s._add_history("dosigref",varlist) |
---|
159 | print_log() |
---|
160 | return s |
---|
161 | |
---|
162 | def calps(scantab, scannos, smooth=1, tsysval=0.0, tauval=0.0, tcalval=0.0, verify=False): |
---|
163 | """ |
---|
164 | Calibrate GBT position switched data |
---|
165 | Adopted from GBTIDL getps |
---|
166 | Currently calps identify the scans as position switched data if they |
---|
167 | contain '_ps' in the source name. The data must contains 'CAL' signal |
---|
168 | on/off in each integration. To identify 'CAL' on state, the word, 'calon' |
---|
169 | need to be present in the source name field. |
---|
170 | (GBT MS data reading process to scantable automatically append these |
---|
171 | id names to the source names) |
---|
172 | |
---|
173 | Parameters: |
---|
174 | scantab: scantable |
---|
175 | scannos: list of scan numbers |
---|
176 | smooth: optional box smoothing order for the reference |
---|
177 | (default is 1 = no smoothing) |
---|
178 | tsysval: optional user specified Tsys (default is 0.0, |
---|
179 | use Tsys in the data) |
---|
180 | tauval: optional user specified Tau |
---|
181 | tcalval: optional user specified Tcal (default is 0.0, |
---|
182 | use Tcal value in the data) |
---|
183 | """ |
---|
184 | varlist = vars() |
---|
185 | # check for the appropriate data |
---|
186 | s = scantab.get_scan('*_ps*') |
---|
187 | if s is None: |
---|
188 | msg = "The input data appear to contain no position-switch mode data." |
---|
189 | if rcParams['verbose']: |
---|
190 | #print msg |
---|
191 | asaplog.push(msg) |
---|
192 | print_log('ERROR') |
---|
193 | return |
---|
194 | else: |
---|
195 | raise TypeError(msg) |
---|
196 | ssub = s.get_scan(scannos) |
---|
197 | if ssub is None: |
---|
198 | msg = "No data was found with given scan numbers!" |
---|
199 | if rcParams['verbose']: |
---|
200 | #print msg |
---|
201 | asaplog.push(msg) |
---|
202 | print_log('ERROR') |
---|
203 | return |
---|
204 | else: |
---|
205 | raise TypeError(msg) |
---|
206 | ssubon = ssub.get_scan('*calon') |
---|
207 | ssuboff = ssub.get_scan('*[^calon]') |
---|
208 | if ssubon.nrow() != ssuboff.nrow(): |
---|
209 | msg = "mismatch in numbers of CAL on/off scans. Cannot calibrate. Check the scan numbers." |
---|
210 | if rcParams['verbose']: |
---|
211 | #print msg |
---|
212 | asaplog.push(msg) |
---|
213 | print_log('ERROR') |
---|
214 | return |
---|
215 | else: |
---|
216 | raise TypeError(msg) |
---|
217 | cals = dototalpower(ssubon, ssuboff, tcalval) |
---|
218 | sig = cals.get_scan('*ps') |
---|
219 | ref = cals.get_scan('*psr') |
---|
220 | if sig.nscan() != ref.nscan(): |
---|
221 | msg = "mismatch in numbers of on/off scans. Cannot calibrate. Check the scan numbers." |
---|
222 | if rcParams['verbose']: |
---|
223 | #print msg |
---|
224 | asaplog.push(msg) |
---|
225 | print_log('ERROR') |
---|
226 | return |
---|
227 | else: |
---|
228 | raise TypeError(msg) |
---|
229 | |
---|
230 | #for user supplied Tsys |
---|
231 | if tsysval>0.0: |
---|
232 | if tauval<=0.0: |
---|
233 | msg = "Need to supply a valid tau to use the supplied Tsys" |
---|
234 | if rcParams['verbose']: |
---|
235 | #print msg |
---|
236 | asaplog.push(msg) |
---|
237 | print_log('ERROR') |
---|
238 | return |
---|
239 | else: |
---|
240 | raise TypeError(msg) |
---|
241 | else: |
---|
242 | sig.recalc_azel() |
---|
243 | ref.recalc_azel() |
---|
244 | #msg = "Use of user specified Tsys is not fully implemented yet." |
---|
245 | #if rcParams['verbose']: |
---|
246 | # print msg |
---|
247 | # return |
---|
248 | #else: |
---|
249 | # raise TypeError(msg) |
---|
250 | # use get_elevation to get elevation and |
---|
251 | # calculate a scaling factor using the formula |
---|
252 | # -> tsys use to dosigref |
---|
253 | |
---|
254 | #ress = dosigref(sig, ref, smooth, tsysval) |
---|
255 | ress = dosigref(sig, ref, smooth, tsysval, tauval) |
---|
256 | ### |
---|
257 | if verify: |
---|
258 | # get data |
---|
259 | import numpy |
---|
260 | precal={} |
---|
261 | postcal=[] |
---|
262 | keys=['ps','ps_calon','psr','psr_calon'] |
---|
263 | ifnos=list(ssub.getifnos()) |
---|
264 | polnos=list(ssub.getpolnos()) |
---|
265 | sel=selector() |
---|
266 | for i in range(2): |
---|
267 | ss=ssuboff.get_scan('*'+keys[2*i]) |
---|
268 | ll=[] |
---|
269 | for j in range(len(ifnos)): |
---|
270 | for k in range(len(polnos)): |
---|
271 | sel.set_ifs(ifnos[j]) |
---|
272 | sel.set_polarizations(polnos[k]) |
---|
273 | try: |
---|
274 | ss.set_selection(sel) |
---|
275 | except: |
---|
276 | continue |
---|
277 | ll.append(numpy.array(ss._getspectrum(0))) |
---|
278 | sel.reset() |
---|
279 | ss.set_selection() |
---|
280 | precal[keys[2*i]]=ll |
---|
281 | del ss |
---|
282 | ss=ssubon.get_scan('*'+keys[2*i+1]) |
---|
283 | ll=[] |
---|
284 | for j in range(len(ifnos)): |
---|
285 | for k in range(len(polnos)): |
---|
286 | sel.set_ifs(ifnos[j]) |
---|
287 | sel.set_polarizations(polnos[k]) |
---|
288 | try: |
---|
289 | ss.set_selection(sel) |
---|
290 | except: |
---|
291 | continue |
---|
292 | ll.append(numpy.array(ss._getspectrum(0))) |
---|
293 | sel.reset() |
---|
294 | ss.set_selection() |
---|
295 | precal[keys[2*i+1]]=ll |
---|
296 | del ss |
---|
297 | for j in range(len(ifnos)): |
---|
298 | for k in range(len(polnos)): |
---|
299 | sel.set_ifs(ifnos[j]) |
---|
300 | sel.set_polarizations(polnos[k]) |
---|
301 | try: |
---|
302 | ress.set_selection(sel) |
---|
303 | except: |
---|
304 | continue |
---|
305 | postcal.append(numpy.array(ress._getspectrum(0))) |
---|
306 | sel.reset() |
---|
307 | ress.set_selection() |
---|
308 | del sel |
---|
309 | # plot |
---|
310 | print_log() |
---|
311 | asaplog.push('Plot only first spectrum for each [if,pol] pairs to verify calibration.') |
---|
312 | print_log('WARN') |
---|
313 | p=asaplotgui.asaplotgui() |
---|
314 | #nr=min(6,len(ifnos)*len(polnos)) |
---|
315 | nr=len(ifnos)*len(polnos) |
---|
316 | titles=[] |
---|
317 | btics=[] |
---|
318 | if nr<4: |
---|
319 | p.set_panels(rows=nr,cols=2,nplots=2*nr,ganged=False) |
---|
320 | for i in range(2*nr): |
---|
321 | b=False |
---|
322 | if i >= 2*nr-2: |
---|
323 | b=True |
---|
324 | btics.append(b) |
---|
325 | elif nr==4: |
---|
326 | p.set_panels(rows=2,cols=4,nplots=8,ganged=False) |
---|
327 | for i in range(2*nr): |
---|
328 | b=False |
---|
329 | if i >= 2*nr-4: |
---|
330 | b=True |
---|
331 | btics.append(b) |
---|
332 | elif nr<7: |
---|
333 | p.set_panels(rows=3,cols=4,nplots=2*nr,ganged=False) |
---|
334 | for i in range(2*nr): |
---|
335 | if i >= 2*nr-4: |
---|
336 | b=True |
---|
337 | btics.append(b) |
---|
338 | else: |
---|
339 | print_log() |
---|
340 | asaplog.push('Only first 6 [if,pol] pairs are plotted.') |
---|
341 | print_log('WARN') |
---|
342 | nr=6 |
---|
343 | for i in range(2*nr): |
---|
344 | b=False |
---|
345 | if i >= 2*nr-4: |
---|
346 | b=True |
---|
347 | btics.append(b) |
---|
348 | p.set_panels(rows=3,cols=4,nplots=2*nr,ganged=False) |
---|
349 | for i in range(nr): |
---|
350 | p.subplot(2*i) |
---|
351 | p.color=0 |
---|
352 | title='raw data IF%s POL%s' % (ifnos[int(i/len(polnos))],polnos[i%len(polnos)]) |
---|
353 | titles.append(title) |
---|
354 | #p.set_axes('title',title,fontsize=40) |
---|
355 | ymin=1.0e100 |
---|
356 | ymax=-1.0e100 |
---|
357 | nchan=s.nchan() |
---|
358 | edge=int(nchan*0.01) |
---|
359 | for j in range(4): |
---|
360 | spmin=min(precal[keys[j]][i][edge:nchan-edge]) |
---|
361 | spmax=max(precal[keys[j]][i][edge:nchan-edge]) |
---|
362 | ymin=min(ymin,spmin) |
---|
363 | ymax=max(ymax,spmax) |
---|
364 | for j in range(4): |
---|
365 | if i==0: |
---|
366 | p.set_line(label=keys[j]) |
---|
367 | else: |
---|
368 | p.legend() |
---|
369 | p.plot(precal[keys[j]][i]) |
---|
370 | p.axes.set_ylim(ymin-0.1*abs(ymin),ymax+0.1*abs(ymax)) |
---|
371 | if not btics[2*i]: |
---|
372 | p.axes.set_xticks([]) |
---|
373 | p.subplot(2*i+1) |
---|
374 | p.color=0 |
---|
375 | title='cal data IF%s POL%s' % (ifnos[int(i/len(polnos))],polnos[i%len(polnos)]) |
---|
376 | titles.append(title) |
---|
377 | #p.set_axes('title',title) |
---|
378 | p.legend() |
---|
379 | ymin=postcal[i][edge:nchan-edge].min() |
---|
380 | ymax=postcal[i][edge:nchan-edge].max() |
---|
381 | p.plot(postcal[i]) |
---|
382 | p.axes.set_ylim(ymin-0.1*abs(ymin),ymax+0.1*abs(ymax)) |
---|
383 | if not btics[2*i+1]: |
---|
384 | p.axes.set_xticks([]) |
---|
385 | for i in range(2*nr): |
---|
386 | p.subplot(i) |
---|
387 | p.set_axes('title',titles[i],fontsize='medium') |
---|
388 | x=raw_input('Accept calibration ([y]/n): ' ) |
---|
389 | if x.upper() == 'N': |
---|
390 | p.unmap() |
---|
391 | del p |
---|
392 | return scabtab |
---|
393 | p.unmap() |
---|
394 | del p |
---|
395 | ### |
---|
396 | ress._add_history("calps", varlist) |
---|
397 | print_log() |
---|
398 | return ress |
---|
399 | |
---|
400 | def calnod(scantab, scannos=[], smooth=1, tsysval=0.0, tauval=0.0, tcalval=0.0, verify=False): |
---|
401 | """ |
---|
402 | Do full (but a pair of scans at time) processing of GBT Nod data |
---|
403 | calibration. |
---|
404 | Adopted from GBTIDL's getnod |
---|
405 | Parameters: |
---|
406 | scantab: scantable |
---|
407 | scannos: a pair of scan numbers, or the first scan number of the pair |
---|
408 | smooth: box car smoothing order |
---|
409 | tsysval: optional user specified Tsys value |
---|
410 | tauval: optional user specified tau value (not implemented yet) |
---|
411 | tcalval: optional user specified Tcal value |
---|
412 | """ |
---|
413 | varlist = vars() |
---|
414 | from asap._asap import stmath |
---|
415 | stm = stmath() |
---|
416 | stm._setinsitu(False) |
---|
417 | |
---|
418 | # check for the appropriate data |
---|
419 | s = scantab.get_scan('*_nod*') |
---|
420 | if s is None: |
---|
421 | msg = "The input data appear to contain no Nod observing mode data." |
---|
422 | if rcParams['verbose']: |
---|
423 | #print msg |
---|
424 | asaplog.push(msg) |
---|
425 | print_log('ERROR') |
---|
426 | return |
---|
427 | else: |
---|
428 | raise TypeError(msg) |
---|
429 | |
---|
430 | # need check correspondance of each beam with sig-ref ... |
---|
431 | # check for timestamps, scan numbers, subscan id (not available in |
---|
432 | # ASAP data format...). Assume 1st scan of the pair (beam 0 - sig |
---|
433 | # and beam 1 - ref...) |
---|
434 | # First scan number of paired scans or list of pairs of |
---|
435 | # scan numbers (has to have even number of pairs.) |
---|
436 | |
---|
437 | #data splitting |
---|
438 | scan1no = scan2no = 0 |
---|
439 | |
---|
440 | if len(scannos)==1: |
---|
441 | scan1no = scannos[0] |
---|
442 | scan2no = scannos[0]+1 |
---|
443 | pairScans = [scan1no, scan2no] |
---|
444 | else: |
---|
445 | #if len(scannos)>2: |
---|
446 | # msg = "calnod can only process a pair of nod scans at time." |
---|
447 | # if rcParams['verbose']: |
---|
448 | # print msg |
---|
449 | # return |
---|
450 | # else: |
---|
451 | # raise TypeError(msg) |
---|
452 | # |
---|
453 | #if len(scannos)==2: |
---|
454 | # scan1no = scannos[0] |
---|
455 | # scan2no = scannos[1] |
---|
456 | pairScans = list(scannos) |
---|
457 | |
---|
458 | if tsysval>0.0: |
---|
459 | if tauval<=0.0: |
---|
460 | msg = "Need to supply a valid tau to use the supplied Tsys" |
---|
461 | if rcParams['verbose']: |
---|
462 | #print msg |
---|
463 | asaplog.push(msg) |
---|
464 | print_log('ERROR') |
---|
465 | return |
---|
466 | else: |
---|
467 | raise TypeError(msg) |
---|
468 | else: |
---|
469 | scantab.recalc_azel() |
---|
470 | resspec = scantable(stm._donod(scantab, pairScans, smooth, tsysval,tauval,tcalval)) |
---|
471 | ### |
---|
472 | if verify: |
---|
473 | # get data |
---|
474 | import numpy |
---|
475 | precal={} |
---|
476 | postcal=[] |
---|
477 | keys=['nod','nod_calon'] |
---|
478 | ifnos=list(scantab.getifnos()) |
---|
479 | polnos=list(scantab.getpolnos()) |
---|
480 | sel=selector() |
---|
481 | for i in range(2): |
---|
482 | ss=scantab.get_scan('*'+keys[i]) |
---|
483 | ll=[] |
---|
484 | ll2=[] |
---|
485 | for j in range(len(ifnos)): |
---|
486 | for k in range(len(polnos)): |
---|
487 | sel.set_ifs(ifnos[j]) |
---|
488 | sel.set_polarizations(polnos[k]) |
---|
489 | sel.set_scans(pairScans[0]) |
---|
490 | try: |
---|
491 | ss.set_selection(sel) |
---|
492 | except: |
---|
493 | continue |
---|
494 | ll.append(numpy.array(ss._getspectrum(0))) |
---|
495 | sel.reset() |
---|
496 | ss.set_selection() |
---|
497 | sel.set_ifs(ifnos[j]) |
---|
498 | sel.set_polarizations(polnos[k]) |
---|
499 | sel.set_scans(pairScans[1]) |
---|
500 | try: |
---|
501 | ss.set_selection(sel) |
---|
502 | except: |
---|
503 | ll.pop() |
---|
504 | continue |
---|
505 | ll2.append(numpy.array(ss._getspectrum(0))) |
---|
506 | sel.reset() |
---|
507 | ss.set_selection() |
---|
508 | key='%s%s' %(pairScans[0],keys[i].lstrip('nod')) |
---|
509 | precal[key]=ll |
---|
510 | key='%s%s' %(pairScans[1],keys[i].lstrip('nod')) |
---|
511 | precal[key]=ll2 |
---|
512 | del ss |
---|
513 | keys=precal.keys() |
---|
514 | for j in range(len(ifnos)): |
---|
515 | for k in range(len(polnos)): |
---|
516 | sel.set_ifs(ifnos[j]) |
---|
517 | sel.set_polarizations(polnos[k]) |
---|
518 | sel.set_scans(pairScans[0]) |
---|
519 | try: |
---|
520 | resspec.set_selection(sel) |
---|
521 | except: |
---|
522 | continue |
---|
523 | postcal.append(numpy.array(resspec._getspectrum(0))) |
---|
524 | sel.reset() |
---|
525 | resspec.set_selection() |
---|
526 | del sel |
---|
527 | # plot |
---|
528 | print_log() |
---|
529 | asaplog.push('Plot only first spectrum for each [if,pol] pairs to verify calibration.') |
---|
530 | print_log('WARN') |
---|
531 | p=asaplotgui.asaplotgui() |
---|
532 | #nr=min(6,len(ifnos)*len(polnos)) |
---|
533 | nr=len(ifnos)*len(polnos) |
---|
534 | titles=[] |
---|
535 | btics=[] |
---|
536 | if nr<4: |
---|
537 | p.set_panels(rows=nr,cols=2,nplots=2*nr,ganged=False) |
---|
538 | for i in range(2*nr): |
---|
539 | b=False |
---|
540 | if i >= 2*nr-2: |
---|
541 | b=True |
---|
542 | btics.append(b) |
---|
543 | elif nr==4: |
---|
544 | p.set_panels(rows=2,cols=4,nplots=8,ganged=False) |
---|
545 | for i in range(2*nr): |
---|
546 | b=False |
---|
547 | if i >= 2*nr-4: |
---|
548 | b=True |
---|
549 | btics.append(b) |
---|
550 | elif nr<7: |
---|
551 | p.set_panels(rows=3,cols=4,nplots=2*nr,ganged=False) |
---|
552 | for i in range(2*nr): |
---|
553 | if i >= 2*nr-4: |
---|
554 | b=True |
---|
555 | btics.append(b) |
---|
556 | else: |
---|
557 | print_log() |
---|
558 | asaplog.push('Only first 6 [if,pol] pairs are plotted.') |
---|
559 | print_log('WARN') |
---|
560 | nr=6 |
---|
561 | for i in range(2*nr): |
---|
562 | b=False |
---|
563 | if i >= 2*nr-4: |
---|
564 | b=True |
---|
565 | btics.append(b) |
---|
566 | p.set_panels(rows=3,cols=4,nplots=2*nr,ganged=False) |
---|
567 | for i in range(nr): |
---|
568 | p.subplot(2*i) |
---|
569 | p.color=0 |
---|
570 | title='raw data IF%s POL%s' % (ifnos[int(i/len(polnos))],polnos[i%len(polnos)]) |
---|
571 | titles.append(title) |
---|
572 | #p.set_axes('title',title,fontsize=40) |
---|
573 | ymin=1.0e100 |
---|
574 | ymax=-1.0e100 |
---|
575 | nchan=scantab.nchan() |
---|
576 | edge=int(nchan*0.01) |
---|
577 | for j in range(4): |
---|
578 | spmin=min(precal[keys[j]][i][edge:nchan-edge]) |
---|
579 | spmax=max(precal[keys[j]][i][edge:nchan-edge]) |
---|
580 | ymin=min(ymin,spmin) |
---|
581 | ymax=max(ymax,spmax) |
---|
582 | for j in range(4): |
---|
583 | if i==0: |
---|
584 | p.set_line(label=keys[j]) |
---|
585 | else: |
---|
586 | p.legend() |
---|
587 | p.plot(precal[keys[j]][i]) |
---|
588 | p.axes.set_ylim(ymin-0.1*abs(ymin),ymax+0.1*abs(ymax)) |
---|
589 | if not btics[2*i]: |
---|
590 | p.axes.set_xticks([]) |
---|
591 | p.subplot(2*i+1) |
---|
592 | p.color=0 |
---|
593 | title='cal data IF%s POL%s' % (ifnos[int(i/len(polnos))],polnos[i%len(polnos)]) |
---|
594 | titles.append(title) |
---|
595 | #p.set_axes('title',title) |
---|
596 | p.legend() |
---|
597 | ymin=postcal[i][edge:nchan-edge].min() |
---|
598 | ymax=postcal[i][edge:nchan-edge].max() |
---|
599 | p.plot(postcal[i]) |
---|
600 | p.axes.set_ylim(ymin-0.1*abs(ymin),ymax+0.1*abs(ymax)) |
---|
601 | if not btics[2*i+1]: |
---|
602 | p.axes.set_xticks([]) |
---|
603 | for i in range(2*nr): |
---|
604 | p.subplot(i) |
---|
605 | p.set_axes('title',titles[i],fontsize='medium') |
---|
606 | x=raw_input('Accept calibration ([y]/n): ' ) |
---|
607 | if x.upper() == 'N': |
---|
608 | p.unmap() |
---|
609 | del p |
---|
610 | return scabtab |
---|
611 | p.unmap() |
---|
612 | del p |
---|
613 | ### |
---|
614 | resspec._add_history("calnod",varlist) |
---|
615 | print_log() |
---|
616 | return resspec |
---|
617 | |
---|
618 | def calfs(scantab, scannos=[], smooth=1, tsysval=0.0, tauval=0.0, tcalval=0.0, verify=False): |
---|
619 | """ |
---|
620 | Calibrate GBT frequency switched data. |
---|
621 | Adopted from GBTIDL getfs. |
---|
622 | Currently calfs identify the scans as frequency switched data if they |
---|
623 | contain '_fs' in the source name. The data must contains 'CAL' signal |
---|
624 | on/off in each integration. To identify 'CAL' on state, the word, 'calon' |
---|
625 | need to be present in the source name field. |
---|
626 | (GBT MS data reading via scantable automatically append these |
---|
627 | id names to the source names) |
---|
628 | |
---|
629 | Parameters: |
---|
630 | scantab: scantable |
---|
631 | scannos: list of scan numbers |
---|
632 | smooth: optional box smoothing order for the reference |
---|
633 | (default is 1 = no smoothing) |
---|
634 | tsysval: optional user specified Tsys (default is 0.0, |
---|
635 | use Tsys in the data) |
---|
636 | tauval: optional user specified Tau |
---|
637 | """ |
---|
638 | varlist = vars() |
---|
639 | from asap._asap import stmath |
---|
640 | stm = stmath() |
---|
641 | stm._setinsitu(False) |
---|
642 | |
---|
643 | # check = scantab.get_scan('*_fs*') |
---|
644 | # if check is None: |
---|
645 | # msg = "The input data appear to contain no Nod observing mode data." |
---|
646 | # if rcParams['verbose']: |
---|
647 | # print msg |
---|
648 | # return |
---|
649 | # else: |
---|
650 | # raise TypeError(msg) |
---|
651 | s = scantab.get_scan(scannos) |
---|
652 | del scantab |
---|
653 | |
---|
654 | resspec = scantable(stm._dofs(s, scannos, smooth, tsysval,tauval,tcalval)) |
---|
655 | ### |
---|
656 | if verify: |
---|
657 | # get data |
---|
658 | ssub = s.get_scan(scannos) |
---|
659 | ssubon = ssub.get_scan('*calon') |
---|
660 | ssuboff = ssub.get_scan('*[^calon]') |
---|
661 | import numpy |
---|
662 | precal={} |
---|
663 | postcal=[] |
---|
664 | keys=['fs','fs_calon','fsr','fsr_calon'] |
---|
665 | ifnos=list(ssub.getifnos()) |
---|
666 | polnos=list(ssub.getpolnos()) |
---|
667 | sel=selector() |
---|
668 | for i in range(2): |
---|
669 | ss=ssuboff.get_scan('*'+keys[2*i]) |
---|
670 | ll=[] |
---|
671 | for j in range(len(ifnos)): |
---|
672 | for k in range(len(polnos)): |
---|
673 | sel.set_ifs(ifnos[j]) |
---|
674 | sel.set_polarizations(polnos[k]) |
---|
675 | try: |
---|
676 | ss.set_selection(sel) |
---|
677 | except: |
---|
678 | continue |
---|
679 | ll.append(numpy.array(ss._getspectrum(0))) |
---|
680 | sel.reset() |
---|
681 | ss.set_selection() |
---|
682 | precal[keys[2*i]]=ll |
---|
683 | del ss |
---|
684 | ss=ssubon.get_scan('*'+keys[2*i+1]) |
---|
685 | ll=[] |
---|
686 | for j in range(len(ifnos)): |
---|
687 | for k in range(len(polnos)): |
---|
688 | sel.set_ifs(ifnos[j]) |
---|
689 | sel.set_polarizations(polnos[k]) |
---|
690 | try: |
---|
691 | ss.set_selection(sel) |
---|
692 | except: |
---|
693 | continue |
---|
694 | ll.append(numpy.array(ss._getspectrum(0))) |
---|
695 | sel.reset() |
---|
696 | ss.set_selection() |
---|
697 | precal[keys[2*i+1]]=ll |
---|
698 | del ss |
---|
699 | sig=resspec.get_scan('*_fs') |
---|
700 | ref=resspec.get_scan('*_fsr') |
---|
701 | for k in range(len(polnos)): |
---|
702 | for j in range(len(ifnos)): |
---|
703 | sel.set_ifs(ifnos[j]) |
---|
704 | sel.set_polarizations(polnos[k]) |
---|
705 | try: |
---|
706 | sig.set_selection(sel) |
---|
707 | postcal.append(numpy.array(sig._getspectrum(0))) |
---|
708 | except: |
---|
709 | ref.set_selection(sel) |
---|
710 | postcal.append(numpy.array(ref._getspectrum(0))) |
---|
711 | sel.reset() |
---|
712 | resspec.set_selection() |
---|
713 | del sel |
---|
714 | # plot |
---|
715 | print_log() |
---|
716 | asaplog.push('Plot only first spectrum for each [if,pol] pairs to verify calibration.') |
---|
717 | print_log('WARN') |
---|
718 | p=asaplotgui.asaplotgui() |
---|
719 | #nr=min(6,len(ifnos)*len(polnos)) |
---|
720 | nr=len(ifnos)/2*len(polnos) |
---|
721 | titles=[] |
---|
722 | btics=[] |
---|
723 | if nr>3: |
---|
724 | print_log() |
---|
725 | asaplog.push('Only first 3 [if,pol] pairs are plotted.') |
---|
726 | print_log('WARN') |
---|
727 | nr=3 |
---|
728 | p.set_panels(rows=nr,cols=3,nplots=3*nr,ganged=False) |
---|
729 | for i in range(3*nr): |
---|
730 | b=False |
---|
731 | if i >= 3*nr-3: |
---|
732 | b=True |
---|
733 | btics.append(b) |
---|
734 | for i in range(nr): |
---|
735 | p.subplot(3*i) |
---|
736 | p.color=0 |
---|
737 | title='raw data IF%s,%s POL%s' % (ifnos[2*int(i/len(polnos))],ifnos[2*int(i/len(polnos))+1],polnos[i%len(polnos)]) |
---|
738 | titles.append(title) |
---|
739 | #p.set_axes('title',title,fontsize=40) |
---|
740 | ymin=1.0e100 |
---|
741 | ymax=-1.0e100 |
---|
742 | nchan=s.nchan() |
---|
743 | edge=int(nchan*0.01) |
---|
744 | for j in range(4): |
---|
745 | spmin=min(precal[keys[j]][i][edge:nchan-edge]) |
---|
746 | spmax=max(precal[keys[j]][i][edge:nchan-edge]) |
---|
747 | ymin=min(ymin,spmin) |
---|
748 | ymax=max(ymax,spmax) |
---|
749 | for j in range(4): |
---|
750 | if i==0: |
---|
751 | p.set_line(label=keys[j]) |
---|
752 | else: |
---|
753 | p.legend() |
---|
754 | p.plot(precal[keys[j]][i]) |
---|
755 | p.axes.set_ylim(ymin-0.1*abs(ymin),ymax+0.1*abs(ymax)) |
---|
756 | if not btics[3*i]: |
---|
757 | p.axes.set_xticks([]) |
---|
758 | p.subplot(3*i+1) |
---|
759 | p.color=0 |
---|
760 | title='sig data IF%s POL%s' % (ifnos[2*int(i/len(polnos))],polnos[i%len(polnos)]) |
---|
761 | titles.append(title) |
---|
762 | #p.set_axes('title',title) |
---|
763 | p.legend() |
---|
764 | ymin=postcal[2*i][edge:nchan-edge].min() |
---|
765 | ymax=postcal[2*i][edge:nchan-edge].max() |
---|
766 | p.plot(postcal[2*i]) |
---|
767 | p.axes.set_ylim(ymin-0.1*abs(ymin),ymax+0.1*abs(ymax)) |
---|
768 | if not btics[3*i+1]: |
---|
769 | p.axes.set_xticks([]) |
---|
770 | p.subplot(3*i+2) |
---|
771 | p.color=0 |
---|
772 | title='ref data IF%s POL%s' % (ifnos[2*int(i/len(polnos))+1],polnos[i%len(polnos)]) |
---|
773 | titles.append(title) |
---|
774 | #p.set_axes('title',title) |
---|
775 | p.legend() |
---|
776 | ymin=postcal[2*i+1][edge:nchan-edge].min() |
---|
777 | ymax=postcal[2*i+1][edge:nchan-edge].max() |
---|
778 | p.plot(postcal[2*i+1]) |
---|
779 | p.axes.set_ylim(ymin-0.1*abs(ymin),ymax+0.1*abs(ymax)) |
---|
780 | if not btics[3*i+2]: |
---|
781 | p.axes.set_xticks([]) |
---|
782 | for i in range(3*nr): |
---|
783 | p.subplot(i) |
---|
784 | p.set_axes('title',titles[i],fontsize='medium') |
---|
785 | x=raw_input('Accept calibration ([y]/n): ' ) |
---|
786 | if x.upper() == 'N': |
---|
787 | p.unmap() |
---|
788 | del p |
---|
789 | return scabtab |
---|
790 | p.unmap() |
---|
791 | del p |
---|
792 | ### |
---|
793 | resspec._add_history("calfs",varlist) |
---|
794 | print_log() |
---|
795 | return resspec |
---|
796 | |
---|
797 | def simple_math(left, right, op='add', tsys=True): |
---|
798 | """ |
---|
799 | Apply simple mathematical binary operations to two |
---|
800 | scan tables, returning the result in a new scan table. |
---|
801 | The operation is applied to both the correlations and the TSys data |
---|
802 | The cursor of the output scan is set to 0 |
---|
803 | Parameters: |
---|
804 | left: the 'left' scan |
---|
805 | right: the 'right' scan |
---|
806 | op: the operation: 'add' (default), 'sub', 'mul', 'div' |
---|
807 | tsys: if True (default) then apply the operation to Tsys |
---|
808 | as well as the data |
---|
809 | """ |
---|
810 | #print "simple_math is deprecated use +=/* instead." |
---|
811 | asaplog.push( "simple_math is deprecated use +=/* instead." ) |
---|
812 | print_log('WARN') |
---|
813 | |
---|
814 | def merge(*args): |
---|
815 | """ |
---|
816 | Merge a list of scanatables, or comma-sperated scantables into one |
---|
817 | scnatble. |
---|
818 | Parameters: |
---|
819 | A list [scan1, scan2] or scan1, scan2. |
---|
820 | Example: |
---|
821 | myscans = [scan1, scan2] |
---|
822 | allscans = merge(myscans) |
---|
823 | # or equivalent |
---|
824 | sameallscans = merge(scan1, scan2) |
---|
825 | """ |
---|
826 | varlist = vars() |
---|
827 | if isinstance(args[0],list): |
---|
828 | lst = tuple(args[0]) |
---|
829 | elif isinstance(args[0],tuple): |
---|
830 | lst = args[0] |
---|
831 | else: |
---|
832 | lst = tuple(args) |
---|
833 | varlist["args"] = "%d scantables" % len(lst) |
---|
834 | # need special formatting her for history... |
---|
835 | from asap._asap import stmath |
---|
836 | stm = stmath() |
---|
837 | for s in lst: |
---|
838 | if not isinstance(s,scantable): |
---|
839 | msg = "Please give a list of scantables" |
---|
840 | if rcParams['verbose']: |
---|
841 | #print msg |
---|
842 | asaplog.push(msg) |
---|
843 | print_log('ERROR') |
---|
844 | return |
---|
845 | else: |
---|
846 | raise TypeError(msg) |
---|
847 | s = scantable(stm._merge(lst)) |
---|
848 | s._add_history("merge", varlist) |
---|
849 | print_log() |
---|
850 | return s |
---|
851 | |
---|
852 | def calibrate( scantab, scannos=[], calmode='none', verify=None ): |
---|
853 | """ |
---|
854 | Calibrate data. |
---|
855 | |
---|
856 | Parameters: |
---|
857 | scantab: scantable |
---|
858 | scannos: list of scan number |
---|
859 | calmode: calibration mode |
---|
860 | verify: verify calibration |
---|
861 | """ |
---|
862 | antname = scantab.get_antennaname() |
---|
863 | if ( calmode == 'nod' ): |
---|
864 | asaplog.push( 'Calibrating nod data.' ) |
---|
865 | print_log() |
---|
866 | scal = calnod( scantab, scannos=scannos, verify=verify ) |
---|
867 | elif ( calmode == 'quotient' ): |
---|
868 | asaplog.push( 'Calibrating using quotient.' ) |
---|
869 | print_log() |
---|
870 | scal = scantab.auto_quotient( verify=verify ) |
---|
871 | elif ( calmode == 'ps' ): |
---|
872 | asaplog.push( 'Calibrating %s position-switched data.' % antname ) |
---|
873 | print_log() |
---|
874 | if ( antname.find( 'APEX' ) != -1 ): |
---|
875 | scal = apexcal( scantab, scannos, calmode, verify ) |
---|
876 | elif ( antname.find( 'ALMA' ) != -1 or antname.find( 'OSF' ) != -1 ): |
---|
877 | scal = almacal( scantab, scannos, calmode, verify ) |
---|
878 | else: |
---|
879 | scal = calps( scantab, scannos=scannos, verify=verify ) |
---|
880 | elif ( calmode == 'fs' or calmode == 'fsotf' ): |
---|
881 | asaplog.push( 'Calibrating %s frequency-switched data.' % antname ) |
---|
882 | print_log() |
---|
883 | if ( antname.find( 'APEX' ) != -1 ): |
---|
884 | scal = apexcal( scantab, scannos, calmode, verify ) |
---|
885 | elif ( antname.find( 'ALMA' ) != -1 or antname.find( 'OSF' ) != -1 ): |
---|
886 | scal = almacal( scantab, scannos, calmode, verify ) |
---|
887 | else: |
---|
888 | scal = calfs( scantab, scannos=scannos, verify=verify ) |
---|
889 | elif ( calmode == 'otf' ): |
---|
890 | asaplog.push( 'Calibrating %s On-The-Fly data.' % antname ) |
---|
891 | print_log() |
---|
892 | scal = almacal( scantab, scannos, calmode, verify ) |
---|
893 | else: |
---|
894 | asaplog.push( 'No calibration.' ) |
---|
895 | scal = scantab.copy() |
---|
896 | |
---|
897 | return scal |
---|
898 | |
---|
899 | def apexcal( scantab, scannos=[], calmode='none', verify=False ): |
---|
900 | """ |
---|
901 | Calibrate APEX data |
---|
902 | |
---|
903 | Parameters: |
---|
904 | scantab: scantable |
---|
905 | scannos: list of scan number |
---|
906 | calmode: calibration mode |
---|
907 | |
---|
908 | verify: verify calibration |
---|
909 | """ |
---|
910 | from asap._asap import stmath |
---|
911 | stm = stmath() |
---|
912 | antname = scantab.get_antennaname() |
---|
913 | ssub = scantab.get_scan( scannos ) |
---|
914 | scal = scantable( stm.cwcal( ssub, calmode, antname ) ) |
---|
915 | return scal |
---|
916 | |
---|
917 | def almacal( scantab, scannos=[], calmode='none', verify=False ): |
---|
918 | """ |
---|
919 | Calibrate ALMA data |
---|
920 | |
---|
921 | Parameters: |
---|
922 | scantab: scantable |
---|
923 | scannos: list of scan number |
---|
924 | calmode: calibration mode |
---|
925 | |
---|
926 | verify: verify calibration |
---|
927 | """ |
---|
928 | from asap._asap import stmath |
---|
929 | stm = stmath() |
---|
930 | ssub = scantab.get_scan( scannos ) |
---|
931 | scal = scantable( stm.almacal( ssub, calmode ) ) |
---|
932 | return scal |
---|
933 | |
---|
934 | def splitant(filename, outprefix='',overwrite=False): |
---|
935 | """ |
---|
936 | Split Measurement set by antenna name, save data as a scantables, |
---|
937 | and return a list of filename. |
---|
938 | Notice this method can only be available from CASA. |
---|
939 | Prameter |
---|
940 | filename: the name of Measurement set to be read. |
---|
941 | outprefix: the prefix of output scantable name. |
---|
942 | the names of output scantable will be |
---|
943 | outprefix.antenna1, outprefix.antenna2, .... |
---|
944 | If not specified, outprefix = filename is assumed. |
---|
945 | overwrite If the file should be overwritten if it exists. |
---|
946 | The default False is to return with warning |
---|
947 | without writing the output. USE WITH CARE. |
---|
948 | |
---|
949 | """ |
---|
950 | # Import the table toolkit from CASA |
---|
951 | try: |
---|
952 | import casac |
---|
953 | except ImportError: |
---|
954 | if rcParams['verbose']: |
---|
955 | #print "failed to load casa" |
---|
956 | print_log() |
---|
957 | asaplog.push("failed to load casa") |
---|
958 | print_log('ERROR') |
---|
959 | else: raise |
---|
960 | return False |
---|
961 | try: |
---|
962 | tbtool = casac.homefinder.find_home_by_name('tableHome') |
---|
963 | tb = tbtool.create() |
---|
964 | tb2 = tbtool.create() |
---|
965 | except: |
---|
966 | if rcParams['verbose']: |
---|
967 | #print "failed to load a table tool:\n", e |
---|
968 | print_log() |
---|
969 | asaplog.push("failed to load table tool") |
---|
970 | print_log('ERROR') |
---|
971 | else: raise |
---|
972 | return False |
---|
973 | # Check the input filename |
---|
974 | if isinstance(filename, str): |
---|
975 | import os.path |
---|
976 | filename = os.path.expandvars(filename) |
---|
977 | filename = os.path.expanduser(filename) |
---|
978 | if not os.path.exists(filename): |
---|
979 | s = "File '%s' not found." % (filename) |
---|
980 | if rcParams['verbose']: |
---|
981 | print_log() |
---|
982 | asaplog.push(s) |
---|
983 | print_log('ERROR') |
---|
984 | return |
---|
985 | raise IOError(s) |
---|
986 | # check if input file is MS |
---|
987 | if not os.path.isdir(filename) \ |
---|
988 | or not os.path.exists(filename+'/ANTENNA') \ |
---|
989 | or not os.path.exists(filename+'/table.f1'): |
---|
990 | s = "File '%s' is not a Measurement set." % (filename) |
---|
991 | if rcParams['verbose']: |
---|
992 | print_log() |
---|
993 | asaplog.push(s) |
---|
994 | print_log('ERROR') |
---|
995 | return |
---|
996 | raise IOError(s) |
---|
997 | else: |
---|
998 | s = "The filename should be string. " |
---|
999 | if rcParams['verbose']: |
---|
1000 | print_log() |
---|
1001 | asaplog.push(s) |
---|
1002 | print_log('ERROR') |
---|
1003 | return |
---|
1004 | raise TypeError(s) |
---|
1005 | # Check out put file name |
---|
1006 | outname='' |
---|
1007 | if len(outprefix) > 0: prefix=outprefix+'.' |
---|
1008 | else: |
---|
1009 | prefix=filename |
---|
1010 | # Now do the actual splitting. |
---|
1011 | outfiles=[] |
---|
1012 | tmpms="temp_antsplit.ms" |
---|
1013 | if os.path.exists(tmpms): |
---|
1014 | ans=raw_input('Temporal file '+tmpms+' exists. Delete it and continue? [y/N]: ') |
---|
1015 | if ans.upper() == 'Y': |
---|
1016 | os.system('rm -rf '+tmpms) |
---|
1017 | asaplog.push('The file '+tmpms+' deleted.') |
---|
1018 | else: |
---|
1019 | asaplog.push('Exit without splitting.') |
---|
1020 | return |
---|
1021 | tb.open(tablename=filename+'/ANTENNA',nomodify=True) |
---|
1022 | nant=tb.nrows() |
---|
1023 | antnames=tb.getcol('NAME',0,nant,1) |
---|
1024 | antpos=tb.getcol('POSITION',0,nant,1).transpose() |
---|
1025 | tb.close() |
---|
1026 | tb.open(tablename=filename,nomodify=True) |
---|
1027 | ant1=tb.getcol('ANTENNA1',0,-1,1) |
---|
1028 | for antid in set(ant1): |
---|
1029 | qstr="ANTENNA1 == "+str(antid) |
---|
1030 | stab = tb.queryC(qstr) |
---|
1031 | ctab = stab.copy(tmpms,deep=True) |
---|
1032 | stab.close() |
---|
1033 | ctab.close() |
---|
1034 | scan=scantable(tmpms,average=False,getpt=True) |
---|
1035 | outname=prefix+antnames[antid]+'.asap' |
---|
1036 | scan.save(outname,format='ASAP',overwrite=overwrite) |
---|
1037 | # Modify scantable header |
---|
1038 | tb2.open(tablename=outname,nomodify=False) |
---|
1039 | tb2.putkeyword(keyword='AntennaName',value=antnames[antid]) |
---|
1040 | tb2.putkeyword(keyword='AntennaPosition',value=antpos[antid]) |
---|
1041 | tb2.flush() |
---|
1042 | tb2.close() |
---|
1043 | del scan, ctab, stab |
---|
1044 | outfiles.append(outname) |
---|
1045 | tb.close() |
---|
1046 | del tb, tb2 |
---|
1047 | os.system('rm -rf '+tmpms) |
---|
1048 | return outfiles |
---|