[876] | 1 | from asap._asap import Scantable |
---|
[226] | 2 | from asap import rcParams |
---|
[714] | 3 | from asap import print_log |
---|
[189] | 4 | from numarray import ones,zeros |
---|
[102] | 5 | import sys |
---|
| 6 | |
---|
[876] | 7 | class scantable(Scantable): |
---|
[102] | 8 | """ |
---|
| 9 | The ASAP container for scans |
---|
| 10 | """ |
---|
[710] | 11 | |
---|
[484] | 12 | def __init__(self, filename, average=None, unit=None): |
---|
[102] | 13 | """ |
---|
| 14 | Create a scantable from a saved one or make a reference |
---|
| 15 | Parameters: |
---|
[181] | 16 | filename: the name of an asap table on disk |
---|
| 17 | or |
---|
| 18 | the name of a rpfits/sdfits/ms file |
---|
| 19 | (integrations within scans are auto averaged |
---|
| 20 | and the whole file is read) |
---|
| 21 | or |
---|
| 22 | [advanced] a reference to an existing |
---|
[102] | 23 | scantable |
---|
[484] | 24 | average: average all integrations withinb a scan on read. |
---|
| 25 | The default (True) is taken from .asaprc. |
---|
| 26 | unit: brightness unit; must be consistent with K or Jy. |
---|
[340] | 27 | Over-rides the default selected by the reader |
---|
| 28 | (input rpfits/sdfits/ms) or replaces the value |
---|
| 29 | in existing scantables |
---|
[710] | 30 | """ |
---|
[489] | 31 | if average is None or type(average) is not bool: |
---|
[710] | 32 | average = rcParams['scantable.autoaverage'] |
---|
[489] | 33 | |
---|
[484] | 34 | varlist = vars() |
---|
[876] | 35 | from asap._asap import stmath |
---|
| 36 | self._math = stmath() |
---|
[710] | 37 | from asap import asaplog |
---|
[876] | 38 | if isinstance(filename, Scantable): |
---|
| 39 | Scantable.__init__(self, filename) |
---|
[340] | 40 | if unit is not None: |
---|
[710] | 41 | self.set_fluxunit(unit) |
---|
[181] | 42 | else: |
---|
[411] | 43 | import os.path |
---|
| 44 | if not os.path.exists(filename): |
---|
[710] | 45 | s = "File '%s' not found." % (filename) |
---|
| 46 | if rcParams['verbose']: |
---|
| 47 | asaplog.push(s) |
---|
| 48 | print asaplog.pop().strip() |
---|
| 49 | return |
---|
| 50 | raise IOError(s) |
---|
[411] | 51 | filename = os.path.expandvars(filename) |
---|
| 52 | if os.path.isdir(filename): |
---|
[181] | 53 | # crude check if asap table |
---|
[411] | 54 | if os.path.exists(filename+'/table.info'): |
---|
[876] | 55 | Scantable.__init__(self, filename, "memory") |
---|
[340] | 56 | if unit is not None: |
---|
[710] | 57 | self.set_fluxunit(unit) |
---|
[181] | 58 | else: |
---|
[718] | 59 | msg = "The given file '%s'is not a valid asap table." % (filename) |
---|
| 60 | if rcParams['verbose']: |
---|
| 61 | print msg |
---|
| 62 | return |
---|
| 63 | else: |
---|
| 64 | raise IOError(msg) |
---|
[710] | 65 | else: |
---|
[876] | 66 | from asap._asap import stfiller |
---|
[340] | 67 | ifSel = -1 |
---|
| 68 | beamSel = -1 |
---|
[876] | 69 | r = stfiller() |
---|
[710] | 70 | r._open(filename,ifSel,beamSel) |
---|
| 71 | asaplog.push('Importing data...') |
---|
[762] | 72 | print_log() |
---|
[876] | 73 | r._read() |
---|
[411] | 74 | tbl = r._getdata() |
---|
[346] | 75 | if unit is not None: |
---|
| 76 | tbl.set_fluxunit(unit) |
---|
[489] | 77 | if average: |
---|
[710] | 78 | asaplog.push('Auto averaging integrations...') |
---|
[762] | 79 | print_log() |
---|
[876] | 80 | tbl2 = self._math._average((tbl,),(),'NONE','SCAN', False) |
---|
| 81 | Scantable.__init__(self,tbl2) |
---|
[513] | 82 | del tbl2 |
---|
[226] | 83 | else: |
---|
[876] | 84 | Scantable.__init__(self,tbl) |
---|
[513] | 85 | del r,tbl |
---|
[484] | 86 | self._add_history("scantable", varlist) |
---|
[714] | 87 | print_log() |
---|
[102] | 88 | |
---|
[876] | 89 | def save(self, name=None, format=None, overwrite=False): |
---|
[116] | 90 | """ |
---|
[710] | 91 | Store the scantable on disk. This can be an asap (aips++) Table, SDFITS, |
---|
[280] | 92 | Image FITS or MS2 format. |
---|
[116] | 93 | Parameters: |
---|
[196] | 94 | name: the name of the outputfile. For format="FITS" this |
---|
[489] | 95 | is the directory file name into which all the files |
---|
[497] | 96 | will be written (default is 'asap_FITS'). For format |
---|
| 97 | "ASCII" this is the root file name (data in 'name'.txt |
---|
| 98 | and header in 'name'_header.txt) |
---|
[116] | 99 | format: an optional file format. Default is ASAP. |
---|
[280] | 100 | Allowed are - 'ASAP' (save as ASAP [aips++] Table), |
---|
[194] | 101 | 'SDFITS' (save as SDFITS file) |
---|
[710] | 102 | 'FITS' (saves each row as a FITS Image) |
---|
[200] | 103 | 'ASCII' (saves as ascii text file) |
---|
[226] | 104 | 'MS2' (saves as an aips++ |
---|
| 105 | MeasurementSet V2) |
---|
[411] | 106 | overwrite: If the file should be overwritten if it exists. |
---|
[256] | 107 | The default False is to return with warning |
---|
[411] | 108 | without writing the output. USE WITH CARE. |
---|
[116] | 109 | Example: |
---|
| 110 | scan.save('myscan.asap') |
---|
| 111 | scan.save('myscan.sdfits','SDFITS') |
---|
| 112 | """ |
---|
[411] | 113 | from os import path |
---|
[226] | 114 | if format is None: format = rcParams['scantable.save'] |
---|
[256] | 115 | suffix = '.'+format.lower() |
---|
| 116 | if name is None or name =="": |
---|
| 117 | name = 'scantable'+suffix |
---|
[718] | 118 | from asap import asaplog |
---|
| 119 | msg = "No filename given. Using default name %s..." % name |
---|
| 120 | asaplog.push(msg) |
---|
[411] | 121 | name = path.expandvars(name) |
---|
[256] | 122 | if path.isfile(name) or path.isdir(name): |
---|
| 123 | if not overwrite: |
---|
[718] | 124 | msg = "File %s exists." % name |
---|
| 125 | if rcParams['verbose']: |
---|
| 126 | print msg |
---|
| 127 | return |
---|
| 128 | else: |
---|
| 129 | raise IOError(msg) |
---|
[451] | 130 | format2 = format.upper() |
---|
| 131 | if format2 == 'ASAP': |
---|
[116] | 132 | self._save(name) |
---|
| 133 | else: |
---|
[876] | 134 | print "NYI" |
---|
| 135 | # from asap._asap import sdwriter as _sw |
---|
| 136 | # w = _sw(format2) |
---|
| 137 | # w.write(self, name, stokes) |
---|
[718] | 138 | |
---|
| 139 | print_log() |
---|
[116] | 140 | return |
---|
| 141 | |
---|
[102] | 142 | def copy(self): |
---|
| 143 | """ |
---|
| 144 | Return a copy of this scantable. |
---|
| 145 | Parameters: |
---|
[113] | 146 | none |
---|
[102] | 147 | Example: |
---|
| 148 | copiedscan = scan.copy() |
---|
| 149 | """ |
---|
[876] | 150 | sd = scantable(Scantable._copy(self)) |
---|
[113] | 151 | return sd |
---|
| 152 | |
---|
[102] | 153 | def get_scan(self, scanid=None): |
---|
| 154 | """ |
---|
| 155 | Return a specific scan (by scanno) or collection of scans (by |
---|
| 156 | source name) in a new scantable. |
---|
| 157 | Parameters: |
---|
[513] | 158 | scanid: a (list of) scanno or a source name, unix-style |
---|
| 159 | patterns are accepted for source name matching, e.g. |
---|
| 160 | '*_R' gets all 'ref scans |
---|
[102] | 161 | Example: |
---|
[513] | 162 | # get all scans containing the source '323p459' |
---|
| 163 | newscan = scan.get_scan('323p459') |
---|
| 164 | # get all 'off' scans |
---|
| 165 | refscans = scan.get_scan('*_R') |
---|
| 166 | # get a susbset of scans by scanno (as listed in scan.summary()) |
---|
| 167 | newscan = scan.get_scan([0,2,7,10]) |
---|
[102] | 168 | """ |
---|
| 169 | if scanid is None: |
---|
[718] | 170 | if rcParams['verbose']: |
---|
| 171 | print "Please specify a scan no or name to retrieve from the scantable" |
---|
| 172 | return |
---|
| 173 | else: |
---|
| 174 | raise RuntimeError("No scan given") |
---|
| 175 | |
---|
[102] | 176 | try: |
---|
[876] | 177 | bsel = self._getselection() |
---|
| 178 | sel = asap._asap.Selector() |
---|
[102] | 179 | if type(scanid) is str: |
---|
[876] | 180 | sel._setname() |
---|
| 181 | self._setselection(sel) |
---|
| 182 | scopy = self._copy() |
---|
| 183 | self._setselection(bsel) |
---|
| 184 | return scantable(scopy) |
---|
[102] | 185 | elif type(scanid) is int: |
---|
[876] | 186 | sel._setscans([scanid]) |
---|
| 187 | self._setselection(sel) |
---|
| 188 | scopy = self._copy() |
---|
| 189 | self._setselection(bsel) |
---|
| 190 | return scantable(scopy) |
---|
[381] | 191 | elif type(scanid) is list: |
---|
[876] | 192 | sel._setscans(scanid) |
---|
| 193 | self._setselection(sel) |
---|
| 194 | scopy = self._copy() |
---|
| 195 | self._setselection(bsel) |
---|
| 196 | return scantable(scopy) |
---|
[381] | 197 | else: |
---|
[718] | 198 | msg = "Illegal scanid type, use 'int' or 'list' if ints." |
---|
| 199 | if rcParams['verbose']: |
---|
| 200 | print msg |
---|
| 201 | else: |
---|
| 202 | raise TypeError(msg) |
---|
[102] | 203 | except RuntimeError: |
---|
[718] | 204 | if rcParams['verbose']: print "Couldn't find any match." |
---|
| 205 | else: raise |
---|
[102] | 206 | |
---|
| 207 | def __str__(self): |
---|
[876] | 208 | return Scantable._summary(self,True) |
---|
[102] | 209 | |
---|
[876] | 210 | def summary(self, filename=None, verbose=None): |
---|
[102] | 211 | """ |
---|
| 212 | Print a summary of the contents of this scantable. |
---|
| 213 | Parameters: |
---|
| 214 | filename: the name of a file to write the putput to |
---|
| 215 | Default - no file output |
---|
[381] | 216 | verbose: print extra info such as the frequency table |
---|
| 217 | The default (False) is taken from .asaprc |
---|
[102] | 218 | """ |
---|
[876] | 219 | info = Scantable._summary(self, verbose) |
---|
[381] | 220 | if verbose is None: verbose = rcParams['scantable.verbosesummary'] |
---|
[102] | 221 | if filename is not None: |
---|
[256] | 222 | if filename is "": |
---|
| 223 | filename = 'scantable_summary.txt' |
---|
[415] | 224 | from os.path import expandvars, isdir |
---|
[411] | 225 | filename = expandvars(filename) |
---|
[415] | 226 | if not isdir(filename): |
---|
[413] | 227 | data = open(filename, 'w') |
---|
| 228 | data.write(info) |
---|
| 229 | data.close() |
---|
| 230 | else: |
---|
[718] | 231 | msg = "Illegal file name '%s'." % (filename) |
---|
| 232 | if rcParams['verbose']: |
---|
| 233 | print msg |
---|
| 234 | else: |
---|
| 235 | raise IOError(msg) |
---|
| 236 | if rcParams['verbose']: |
---|
[794] | 237 | try: |
---|
| 238 | from IPython.genutils import page as pager |
---|
| 239 | except ImportError: |
---|
| 240 | from pydoc import pager |
---|
| 241 | pager(info) |
---|
[718] | 242 | else: |
---|
| 243 | return info |
---|
[710] | 244 | |
---|
[553] | 245 | def set_cursor(self, beam=0, IF=0, pol=0): |
---|
[102] | 246 | """ |
---|
| 247 | Set the spectrum for individual operations. |
---|
| 248 | Parameters: |
---|
[553] | 249 | beam, IF, pol: a number |
---|
[102] | 250 | Example: |
---|
[256] | 251 | scan.set_cursor(0,0,1) |
---|
[135] | 252 | pol1sig = scan.stats(all=False) # returns std dev for beam=0 |
---|
[181] | 253 | # if=0, pol=1 |
---|
[102] | 254 | """ |
---|
[876] | 255 | print "DEPRECATED" |
---|
[484] | 256 | varlist = vars() |
---|
[876] | 257 | sel = asap._asap.Selector() |
---|
| 258 | sel._setbeams([beam]) |
---|
| 259 | sel._setpols([pol]) |
---|
| 260 | sel._setifs([IF]) |
---|
| 261 | self._add_history("set_cursor", varlist) |
---|
[102] | 262 | return |
---|
| 263 | |
---|
[256] | 264 | def get_cursor(self): |
---|
[113] | 265 | """ |
---|
| 266 | Return/print a the current 'cursor' into the Beam/IF/Pol cube. |
---|
| 267 | Parameters: |
---|
| 268 | none |
---|
| 269 | Returns: |
---|
| 270 | a list of values (currentBeam,currentIF,currentPol) |
---|
| 271 | Example: |
---|
| 272 | none |
---|
| 273 | """ |
---|
[876] | 274 | print "DEPRECATED" |
---|
| 275 | sel = self._getselection() |
---|
| 276 | i = sel.getbeams()[0] |
---|
| 277 | j = sel.getifs()[0] |
---|
| 278 | k = sel.getpols()[0] |
---|
[721] | 279 | from asap import asaplog |
---|
| 280 | out = "--------------------------------------------------\n" |
---|
| 281 | out += " Cursor position\n" |
---|
| 282 | out += "--------------------------------------------------\n" |
---|
| 283 | out += 'Beam=%d IF=%d Pol=%d ' % (i,j,k) |
---|
| 284 | asaplog.push(out) |
---|
| 285 | print_log() |
---|
| 286 | return i,j,k |
---|
[102] | 287 | |
---|
[876] | 288 | def stats(self, stat='stddev', mask=None): |
---|
[102] | 289 | """ |
---|
[135] | 290 | Determine the specified statistic of the current beam/if/pol |
---|
[102] | 291 | Takes a 'mask' as an optional parameter to specify which |
---|
| 292 | channels should be excluded. |
---|
| 293 | Parameters: |
---|
[135] | 294 | stat: 'min', 'max', 'sumsq', 'sum', 'mean' |
---|
| 295 | 'var', 'stddev', 'avdev', 'rms', 'median' |
---|
| 296 | mask: an optional mask specifying where the statistic |
---|
[102] | 297 | should be determined. |
---|
| 298 | Example: |
---|
[113] | 299 | scan.set_unit('channel') |
---|
[102] | 300 | msk = scan.create_mask([100,200],[500,600]) |
---|
[135] | 301 | scan.stats(stat='mean', mask=m) |
---|
[102] | 302 | """ |
---|
[256] | 303 | from numarray import array,zeros,Float |
---|
[102] | 304 | if mask == None: |
---|
[876] | 305 | mask = [] |
---|
[256] | 306 | axes = ['Beam','IF','Pol','Time'] |
---|
[876] | 307 | if not self._check_ifs(): |
---|
| 308 | raise ValueError("Cannot apply mask as the IFs have different number of channels" |
---|
| 309 | "Please use setselection() to select individual IFs") |
---|
[256] | 310 | |
---|
[876] | 311 | statvals = self._math._stats(self, mask, stat) |
---|
| 312 | out = '' |
---|
| 313 | axes = [] |
---|
| 314 | for i in range(self.nrow()): |
---|
| 315 | axis = [] |
---|
| 316 | axis.append(self.getscan(i)) |
---|
| 317 | axis.append(self.getbeam(i)) |
---|
| 318 | axis.append(self.getif(i)) |
---|
| 319 | axis.append(self.getpol(i)) |
---|
| 320 | axis.append(self.getcycle(i)) |
---|
| 321 | axes.append(axis) |
---|
| 322 | tm = self._gettime(i) |
---|
| 323 | src = self._getsourcename(i) |
---|
| 324 | out += 'Scan[%d] (%s) ' % (axis[0], src) |
---|
| 325 | out += 'Time[%s]:\n' % (tm) |
---|
| 326 | if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1]) |
---|
| 327 | if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2]) |
---|
| 328 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3]) |
---|
| 329 | out += '= %3.3f\n' % (statvals[i]) |
---|
| 330 | out += "--------------------------------------------------\n" |
---|
[256] | 331 | |
---|
[876] | 332 | if rcParams['verbose']: |
---|
| 333 | print "--------------------------------------------------" |
---|
| 334 | print " ",stat |
---|
| 335 | print "--------------------------------------------------" |
---|
| 336 | print out |
---|
| 337 | retval = { 'axesnames': ['scanno','beamno','ifno','polno','cycleno'], |
---|
| 338 | 'axes' : axes, |
---|
| 339 | 'data': statvals} |
---|
| 340 | return retval |
---|
[102] | 341 | |
---|
[876] | 342 | def stddev(self,mask=None): |
---|
[135] | 343 | """ |
---|
| 344 | Determine the standard deviation of the current beam/if/pol |
---|
| 345 | Takes a 'mask' as an optional parameter to specify which |
---|
| 346 | channels should be excluded. |
---|
| 347 | Parameters: |
---|
| 348 | mask: an optional mask specifying where the standard |
---|
| 349 | deviation should be determined. |
---|
| 350 | |
---|
| 351 | Example: |
---|
| 352 | scan.set_unit('channel') |
---|
| 353 | msk = scan.create_mask([100,200],[500,600]) |
---|
| 354 | scan.stddev(mask=m) |
---|
| 355 | """ |
---|
[876] | 356 | return self.stats(stat='stddev',mask=mask); |
---|
[135] | 357 | |
---|
[876] | 358 | def get_tsys(self): |
---|
[113] | 359 | """ |
---|
| 360 | Return the System temperatures. |
---|
| 361 | Parameters: |
---|
[876] | 362 | |
---|
[113] | 363 | Returns: |
---|
[876] | 364 | a list of Tsys values for the current selection |
---|
[113] | 365 | """ |
---|
[256] | 366 | |
---|
[876] | 367 | return self._row_callback(self._gettsys, "Tsys") |
---|
[256] | 368 | |
---|
[876] | 369 | def _row_callback(self, callback, label): |
---|
| 370 | axes = [] |
---|
| 371 | axesnames = ['scanno','beamno','ifno','polno','cycleno'] |
---|
| 372 | out = "" |
---|
| 373 | outvec =[] |
---|
| 374 | for i in range(self.nrow()): |
---|
| 375 | axis = [] |
---|
| 376 | axis.append(self.getscan(i)) |
---|
| 377 | axis.append(self.getbeam(i)) |
---|
| 378 | axis.append(self.getif(i)) |
---|
| 379 | axis.append(self.getpol(i)) |
---|
| 380 | axis.append(self.getcycle(i)) |
---|
| 381 | axes.append(axis) |
---|
| 382 | tm = self._gettime(i) |
---|
| 383 | src = self._getsourcename(i) |
---|
| 384 | out += 'Scan[%d] (%s) ' % (axis[0], src) |
---|
| 385 | out += 'Time[%s]:\n' % (tm) |
---|
| 386 | if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1]) |
---|
| 387 | if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2]) |
---|
| 388 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3]) |
---|
| 389 | outvec.append(callback(i)) |
---|
| 390 | out += '= %3.3f\n' % (outvec[i]) |
---|
| 391 | out += "--------------------------------------------------\n" |
---|
| 392 | if rcParams['verbose']: |
---|
| 393 | print "--------------------------------------------------" |
---|
| 394 | print " %s" % (label) |
---|
| 395 | print "--------------------------------------------------" |
---|
| 396 | print out |
---|
| 397 | retval = {'axesnames': axesnames, 'axes': axes, 'data': outvec} |
---|
| 398 | return retval |
---|
[256] | 399 | |
---|
| 400 | |
---|
[407] | 401 | def get_time(self, row=-1): |
---|
[113] | 402 | """ |
---|
| 403 | Get a list of time stamps for the observations. |
---|
[181] | 404 | Return a string for each integration in the scantable. |
---|
[113] | 405 | Parameters: |
---|
[407] | 406 | row: row no of integration. Default -1 return all rows |
---|
[113] | 407 | Example: |
---|
| 408 | none |
---|
| 409 | """ |
---|
| 410 | out = [] |
---|
[407] | 411 | if row == -1: |
---|
| 412 | for i in range(self.nrow()): |
---|
| 413 | out.append(self._gettime(i)) |
---|
| 414 | return out |
---|
| 415 | else: |
---|
| 416 | if row < self.nrow(): |
---|
| 417 | return self._gettime(row) |
---|
[102] | 418 | |
---|
[714] | 419 | def get_sourcename(self, row=-1): |
---|
| 420 | """ |
---|
[794] | 421 | Get a list source names for the observations. |
---|
[714] | 422 | Return a string for each integration in the scantable. |
---|
| 423 | Parameters: |
---|
| 424 | row: row no of integration. Default -1 return all rows |
---|
| 425 | Example: |
---|
| 426 | none |
---|
| 427 | """ |
---|
| 428 | out = [] |
---|
| 429 | if row == -1: |
---|
| 430 | return [self._getsourcename(i) for i in range(self.nrow())] |
---|
| 431 | else: |
---|
| 432 | if 0 <= row < self.nrow(): |
---|
| 433 | return self._getsourcename(row) |
---|
| 434 | |
---|
[794] | 435 | def get_elevation(self, row=-1): |
---|
| 436 | """ |
---|
| 437 | Get a list of elevations for the observations. |
---|
| 438 | Return a float for each integration in the scantable. |
---|
| 439 | Parameters: |
---|
| 440 | row: row no of integration. Default -1 return all rows |
---|
| 441 | Example: |
---|
| 442 | none |
---|
| 443 | """ |
---|
| 444 | out = [] |
---|
| 445 | if row == -1: |
---|
| 446 | return [self._getelevation(i) for i in range(self.nrow())] |
---|
| 447 | else: |
---|
| 448 | if 0 <= row < self.nrow(): |
---|
| 449 | return self._getelevation(row) |
---|
| 450 | |
---|
| 451 | def get_azimuth(self, row=-1): |
---|
| 452 | """ |
---|
| 453 | Get a list of azimuths for the observations. |
---|
| 454 | Return a float for each integration in the scantable. |
---|
| 455 | Parameters: |
---|
| 456 | row: row no of integration. Default -1 return all rows |
---|
| 457 | Example: |
---|
| 458 | none |
---|
| 459 | """ |
---|
| 460 | out = [] |
---|
| 461 | if row == -1: |
---|
| 462 | return [self._getazimuth(i) for i in range(self.nrow())] |
---|
| 463 | else: |
---|
| 464 | if 0 <= row < self.nrow(): |
---|
| 465 | return self._getazimuth(row) |
---|
| 466 | |
---|
| 467 | def get_parangle(self, row=-1): |
---|
| 468 | """ |
---|
| 469 | Get a list of parallactic angles for the observations. |
---|
| 470 | Return a float for each integration in the scantable. |
---|
| 471 | Parameters: |
---|
| 472 | row: row no of integration. Default -1 return all rows |
---|
| 473 | Example: |
---|
| 474 | none |
---|
| 475 | """ |
---|
| 476 | out = [] |
---|
| 477 | if row == -1: |
---|
| 478 | return [self._getparangle(i) for i in range(self.nrow())] |
---|
| 479 | else: |
---|
| 480 | if 0 <= row < self.nrow(): |
---|
| 481 | return self._getparangle(row) |
---|
| 482 | |
---|
[102] | 483 | def set_unit(self, unit='channel'): |
---|
| 484 | """ |
---|
| 485 | Set the unit for all following operations on this scantable |
---|
| 486 | Parameters: |
---|
| 487 | unit: optional unit, default is 'channel' |
---|
[113] | 488 | one of '*Hz','km/s','channel', '' |
---|
[102] | 489 | """ |
---|
[484] | 490 | varlist = vars() |
---|
[113] | 491 | if unit in ['','pixel', 'channel']: |
---|
| 492 | unit = '' |
---|
| 493 | inf = list(self._getcoordinfo()) |
---|
| 494 | inf[0] = unit |
---|
| 495 | self._setcoordinfo(inf) |
---|
[484] | 496 | self._add_history("set_unit",varlist) |
---|
[113] | 497 | |
---|
[484] | 498 | def set_instrument(self, instr): |
---|
[358] | 499 | """ |
---|
| 500 | Set the instrument for subsequent processing |
---|
| 501 | Parameters: |
---|
[710] | 502 | instr: Select from 'ATPKSMB', 'ATPKSHOH', 'ATMOPRA', |
---|
[407] | 503 | 'DSS-43' (Tid), 'CEDUNA', and 'HOBART' |
---|
[358] | 504 | """ |
---|
| 505 | self._setInstrument(instr) |
---|
[484] | 506 | self._add_history("set_instument",vars()) |
---|
[718] | 507 | print_log() |
---|
[358] | 508 | |
---|
[276] | 509 | def set_doppler(self, doppler='RADIO'): |
---|
| 510 | """ |
---|
| 511 | Set the doppler for all following operations on this scantable. |
---|
| 512 | Parameters: |
---|
| 513 | doppler: One of 'RADIO', 'OPTICAL', 'Z', 'BETA', 'GAMMA' |
---|
| 514 | """ |
---|
[484] | 515 | varlist = vars() |
---|
[276] | 516 | inf = list(self._getcoordinfo()) |
---|
| 517 | inf[2] = doppler |
---|
| 518 | self._setcoordinfo(inf) |
---|
[484] | 519 | self._add_history("set_doppler",vars()) |
---|
[718] | 520 | print_log() |
---|
[710] | 521 | |
---|
[226] | 522 | def set_freqframe(self, frame=None): |
---|
[113] | 523 | """ |
---|
| 524 | Set the frame type of the Spectral Axis. |
---|
| 525 | Parameters: |
---|
[591] | 526 | frame: an optional frame type, default 'LSRK'. Valid frames are: |
---|
| 527 | 'REST','TOPO','LSRD','LSRK','BARY', |
---|
| 528 | 'GEO','GALACTO','LGROUP','CMB' |
---|
[113] | 529 | Examples: |
---|
| 530 | scan.set_freqframe('BARY') |
---|
| 531 | """ |
---|
[484] | 532 | if frame is None: frame = rcParams['scantable.freqframe'] |
---|
| 533 | varlist = vars() |
---|
[113] | 534 | valid = ['REST','TOPO','LSRD','LSRK','BARY', \ |
---|
| 535 | 'GEO','GALACTO','LGROUP','CMB'] |
---|
[591] | 536 | |
---|
[876] | 537 | if 1:#frame in valid: |
---|
[113] | 538 | inf = list(self._getcoordinfo()) |
---|
| 539 | inf[1] = frame |
---|
| 540 | self._setcoordinfo(inf) |
---|
[484] | 541 | self._add_history("set_freqframe",varlist) |
---|
[102] | 542 | else: |
---|
[718] | 543 | msg = "Please specify a valid freq type. Valid types are:\n",valid |
---|
| 544 | if rcParams['verbose']: |
---|
| 545 | print msg |
---|
| 546 | else: |
---|
| 547 | raise TypeError(msg) |
---|
| 548 | print_log() |
---|
[710] | 549 | |
---|
[113] | 550 | def get_unit(self): |
---|
| 551 | """ |
---|
| 552 | Get the default unit set in this scantable |
---|
| 553 | Parameters: |
---|
| 554 | Returns: |
---|
| 555 | A unit string |
---|
| 556 | """ |
---|
| 557 | inf = self._getcoordinfo() |
---|
| 558 | unit = inf[0] |
---|
| 559 | if unit == '': unit = 'channel' |
---|
| 560 | return unit |
---|
[102] | 561 | |
---|
[158] | 562 | def get_abcissa(self, rowno=0): |
---|
[102] | 563 | """ |
---|
[158] | 564 | Get the abcissa in the current coordinate setup for the currently |
---|
[113] | 565 | selected Beam/IF/Pol |
---|
| 566 | Parameters: |
---|
[226] | 567 | rowno: an optional row number in the scantable. Default is the |
---|
| 568 | first row, i.e. rowno=0 |
---|
[113] | 569 | Returns: |
---|
[407] | 570 | The abcissa values and it's format string (as a dictionary) |
---|
[113] | 571 | """ |
---|
[256] | 572 | abc = self._getabcissa(rowno) |
---|
[710] | 573 | lbl = self._getabcissalabel(rowno) |
---|
[718] | 574 | print_log() |
---|
[158] | 575 | return abc, lbl |
---|
[113] | 576 | |
---|
| 577 | def create_mask(self, *args, **kwargs): |
---|
| 578 | """ |
---|
[102] | 579 | Compute and return a mask based on [min,max] windows. |
---|
[189] | 580 | The specified windows are to be INCLUDED, when the mask is |
---|
[113] | 581 | applied. |
---|
[102] | 582 | Parameters: |
---|
| 583 | [min,max],[min2,max2],... |
---|
| 584 | Pairs of start/end points specifying the regions |
---|
| 585 | to be masked |
---|
[189] | 586 | invert: optional argument. If specified as True, |
---|
| 587 | return an inverted mask, i.e. the regions |
---|
| 588 | specified are EXCLUDED |
---|
[513] | 589 | row: create the mask using the specified row for |
---|
| 590 | unit conversions, default is row=0 |
---|
| 591 | only necessary if frequency varies over rows. |
---|
[102] | 592 | Example: |
---|
[113] | 593 | scan.set_unit('channel') |
---|
| 594 | |
---|
| 595 | a) |
---|
[102] | 596 | msk = scan.set_mask([400,500],[800,900]) |
---|
[189] | 597 | # masks everything outside 400 and 500 |
---|
[113] | 598 | # and 800 and 900 in the unit 'channel' |
---|
| 599 | |
---|
| 600 | b) |
---|
| 601 | msk = scan.set_mask([400,500],[800,900], invert=True) |
---|
[189] | 602 | # masks the regions between 400 and 500 |
---|
[113] | 603 | # and 800 and 900 in the unit 'channel' |
---|
[710] | 604 | |
---|
[102] | 605 | """ |
---|
[513] | 606 | row = 0 |
---|
| 607 | if kwargs.has_key("row"): |
---|
| 608 | row = kwargs.get("row") |
---|
| 609 | data = self._getabcissa(row) |
---|
[113] | 610 | u = self._getcoordinfo()[0] |
---|
[718] | 611 | if rcParams['verbose']: |
---|
[113] | 612 | if u == "": u = "channel" |
---|
[718] | 613 | from asap import asaplog |
---|
| 614 | msg = "The current mask window unit is %s" % u |
---|
[914] | 615 | if not self._check_ifs(): |
---|
[876] | 616 | msg += "\nThis mask is only valid for IF=%d" % (self.getif(i)) |
---|
[718] | 617 | asaplog.push(msg) |
---|
[102] | 618 | n = self.nchan() |
---|
[189] | 619 | msk = zeros(n) |
---|
[710] | 620 | # test if args is a 'list' or a 'normal *args - UGLY!!! |
---|
| 621 | |
---|
| 622 | ws = (isinstance(args[-1][-1],int) or isinstance(args[-1][-1],float)) and args or args[0] |
---|
| 623 | for window in ws: |
---|
[102] | 624 | if (len(window) != 2 or window[0] > window[1] ): |
---|
[718] | 625 | raise TypeError("A window needs to be defined as [min,max]") |
---|
[102] | 626 | for i in range(n): |
---|
[113] | 627 | if data[i] >= window[0] and data[i] < window[1]: |
---|
[189] | 628 | msk[i] = 1 |
---|
[113] | 629 | if kwargs.has_key('invert'): |
---|
| 630 | if kwargs.get('invert'): |
---|
| 631 | from numarray import logical_not |
---|
[710] | 632 | msk = logical_not(msk) |
---|
[718] | 633 | print_log() |
---|
[102] | 634 | return msk |
---|
[710] | 635 | |
---|
[256] | 636 | def get_restfreqs(self): |
---|
| 637 | """ |
---|
| 638 | Get the restfrequency(s) stored in this scantable. |
---|
| 639 | The return value(s) are always of unit 'Hz' |
---|
| 640 | Parameters: |
---|
| 641 | none |
---|
| 642 | Returns: |
---|
| 643 | a list of doubles |
---|
| 644 | """ |
---|
| 645 | return list(self._getrestfreqs()) |
---|
[102] | 646 | |
---|
[402] | 647 | |
---|
[876] | 648 | # def set_restfreqs(self, freqs=None, unit='Hz', lines=None, source=None, |
---|
| 649 | # theif=None): |
---|
| 650 | # """ |
---|
| 651 | # Select the restfrequency for the specified source and IF OR |
---|
| 652 | # replace for all IFs. If the 'freqs' argument holds a scalar, |
---|
| 653 | # then that rest frequency will be applied to the selected |
---|
| 654 | # data (and added to the list of available rest frequencies). |
---|
| 655 | # In this way, you can set a rest frequency for each |
---|
| 656 | # source and IF combination. If the 'freqs' argument holds |
---|
| 657 | # a vector, then it MUST be of length the number of IFs |
---|
| 658 | # (and the available restfrequencies will be replaced by |
---|
| 659 | # this vector). In this case, *all* data ('source' and |
---|
| 660 | # 'theif' are ignored) have the restfrequency set per IF according |
---|
| 661 | # to the corresponding value you give in the 'freqs' vector. |
---|
| 662 | # E.g. 'freqs=[1e9,2e9]' would mean IF 0 gets restfreq 1e9 and |
---|
| 663 | # IF 1 gets restfreq 2e9. |
---|
| 664 | # |
---|
| 665 | # You can also specify the frequencies via known line names |
---|
| 666 | # in the argument 'lines'. Use 'freqs' or 'lines'. 'freqs' |
---|
| 667 | # takes precedence. See the list of known names via function |
---|
| 668 | # scantable.lines() |
---|
| 669 | # Parameters: |
---|
| 670 | # freqs: list of rest frequencies |
---|
| 671 | # unit: unit for rest frequency (default 'Hz') |
---|
| 672 | # lines: list of known spectral lines names (alternative to freqs). |
---|
| 673 | # See possible list via scantable.lines() |
---|
| 674 | # source: Source name (blank means all) |
---|
| 675 | # theif: IF (-1 means all) |
---|
| 676 | # Example: |
---|
| 677 | # scan.set_restfreqs(freqs=1.4e9, source='NGC253', theif=2) |
---|
| 678 | # scan.set_restfreqs(freqs=[1.4e9,1.67e9]) |
---|
| 679 | # """ |
---|
| 680 | # varlist = vars() |
---|
| 681 | # if source is None: |
---|
| 682 | # source = "" |
---|
| 683 | # if theif is None: |
---|
| 684 | # theif = -1 |
---|
| 685 | # t = type(freqs) |
---|
| 686 | # if t is int or t is float: |
---|
| 687 | # freqs = [freqs] |
---|
| 688 | # if freqs is None: |
---|
| 689 | # freqs = [] |
---|
| 690 | # t = type(lines) |
---|
| 691 | # if t is str: |
---|
| 692 | # lines = [lines] |
---|
| 693 | # if lines is None: |
---|
| 694 | # lines = [] |
---|
| 695 | # self._setrestfreqs(freqs, unit, lines, source, theif) |
---|
| 696 | # self._add_history("set_restfreqs", varlist) |
---|
| 697 | # |
---|
[402] | 698 | |
---|
[391] | 699 | |
---|
[484] | 700 | def history(self): |
---|
| 701 | hist = list(self._gethistory()) |
---|
[794] | 702 | out = "-"*80 |
---|
[484] | 703 | for h in hist: |
---|
[489] | 704 | if h.startswith("---"): |
---|
[794] | 705 | out += "\n"+h |
---|
[489] | 706 | else: |
---|
| 707 | items = h.split("##") |
---|
| 708 | date = items[0] |
---|
| 709 | func = items[1] |
---|
| 710 | items = items[2:] |
---|
[794] | 711 | out += "\n"+date+"\n" |
---|
| 712 | out += "Function: %s\n Parameters:" % (func) |
---|
[489] | 713 | for i in items: |
---|
| 714 | s = i.split("=") |
---|
[794] | 715 | out += "\n %s = %s" % (s[0],s[1]) |
---|
| 716 | out += "\n"+"-"*80 |
---|
| 717 | try: |
---|
| 718 | from IPython.genutils import page as pager |
---|
| 719 | except ImportError: |
---|
| 720 | from pydoc import pager |
---|
| 721 | pager(out) |
---|
[484] | 722 | return |
---|
| 723 | |
---|
[513] | 724 | # |
---|
| 725 | # Maths business |
---|
| 726 | # |
---|
| 727 | |
---|
[558] | 728 | def average_time(self, mask=None, scanav=False, weight='tint'): |
---|
[513] | 729 | """ |
---|
| 730 | Return the (time) average of a scan, or apply it 'insitu'. |
---|
| 731 | Note: |
---|
| 732 | in channels only |
---|
| 733 | The cursor of the output scan is set to 0. |
---|
| 734 | Parameters: |
---|
| 735 | one scan or comma separated scans |
---|
| 736 | mask: an optional mask (only used for 'var' and 'tsys' |
---|
| 737 | weighting) |
---|
[558] | 738 | scanav: True averages each scan separately |
---|
| 739 | False (default) averages all scans together, |
---|
[524] | 740 | weight: Weighting scheme. 'none', 'var' (1/var(spec) |
---|
[535] | 741 | weighted), 'tsys' (1/Tsys**2 weighted), 'tint' |
---|
| 742 | (integration time weighted) or 'tintsys' (Tint/Tsys**2). |
---|
| 743 | The default is 'tint' |
---|
[513] | 744 | Example: |
---|
| 745 | # time average the scantable without using a mask |
---|
[710] | 746 | newscan = scan.average_time() |
---|
[513] | 747 | """ |
---|
| 748 | varlist = vars() |
---|
[524] | 749 | if weight is None: weight = 'tint' |
---|
[513] | 750 | if mask is None: mask = () |
---|
[876] | 751 | if scanav: |
---|
| 752 | scanav = "SCAN" |
---|
| 753 | else: |
---|
| 754 | scanav = "NONE" |
---|
| 755 | s = scantable(self._math._average((self,), mask, weight, scanav, False)) |
---|
[513] | 756 | s._add_history("average_time",varlist) |
---|
[718] | 757 | print_log() |
---|
[513] | 758 | return s |
---|
[710] | 759 | |
---|
[876] | 760 | def convert_flux(self, jyperk=None, eta=None, d=None, insitu=None): |
---|
[513] | 761 | """ |
---|
| 762 | Return a scan where all spectra are converted to either |
---|
| 763 | Jansky or Kelvin depending upon the flux units of the scan table. |
---|
| 764 | By default the function tries to look the values up internally. |
---|
| 765 | If it can't find them (or if you want to over-ride), you must |
---|
| 766 | specify EITHER jyperk OR eta (and D which it will try to look up |
---|
| 767 | also if you don't set it). jyperk takes precedence if you set both. |
---|
| 768 | Parameters: |
---|
| 769 | jyperk: the Jy / K conversion factor |
---|
| 770 | eta: the aperture efficiency |
---|
| 771 | d: the geomtric diameter (metres) |
---|
| 772 | insitu: if False a new scantable is returned. |
---|
| 773 | Otherwise, the scaling is done in-situ |
---|
| 774 | The default is taken from .asaprc (False) |
---|
| 775 | allaxes: if True apply to all spectra. Otherwise |
---|
| 776 | apply only to the selected (beam/pol/if)spectra only |
---|
| 777 | The default is taken from .asaprc (True if none) |
---|
| 778 | """ |
---|
| 779 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 780 | self._math._setinsitu(insitu) |
---|
[513] | 781 | varlist = vars() |
---|
| 782 | if jyperk is None: jyperk = -1.0 |
---|
| 783 | if d is None: d = -1.0 |
---|
| 784 | if eta is None: eta = -1.0 |
---|
[876] | 785 | s = scantable(self._math._convertflux(self, d, eta, jyperk)) |
---|
| 786 | s._add_history("convert_flux", varlist) |
---|
| 787 | print_log() |
---|
| 788 | if insitu: self._assign(s) |
---|
| 789 | else: return s |
---|
[513] | 790 | |
---|
[876] | 791 | def gain_el(self, poly=None, filename="", method="linear", insitu=None): |
---|
[513] | 792 | """ |
---|
| 793 | Return a scan after applying a gain-elevation correction. |
---|
| 794 | The correction can be made via either a polynomial or a |
---|
| 795 | table-based interpolation (and extrapolation if necessary). |
---|
| 796 | You specify polynomial coefficients, an ascii table or neither. |
---|
| 797 | If you specify neither, then a polynomial correction will be made |
---|
| 798 | with built in coefficients known for certain telescopes (an error |
---|
| 799 | will occur if the instrument is not known). |
---|
| 800 | The data and Tsys are *divided* by the scaling factors. |
---|
| 801 | Parameters: |
---|
| 802 | poly: Polynomial coefficients (default None) to compute a |
---|
| 803 | gain-elevation correction as a function of |
---|
| 804 | elevation (in degrees). |
---|
| 805 | filename: The name of an ascii file holding correction factors. |
---|
| 806 | The first row of the ascii file must give the column |
---|
| 807 | names and these MUST include columns |
---|
| 808 | "ELEVATION" (degrees) and "FACTOR" (multiply data |
---|
| 809 | by this) somewhere. |
---|
| 810 | The second row must give the data type of the |
---|
| 811 | column. Use 'R' for Real and 'I' for Integer. |
---|
| 812 | An example file would be |
---|
| 813 | (actual factors are arbitrary) : |
---|
| 814 | |
---|
| 815 | TIME ELEVATION FACTOR |
---|
| 816 | R R R |
---|
| 817 | 0.1 0 0.8 |
---|
| 818 | 0.2 20 0.85 |
---|
| 819 | 0.3 40 0.9 |
---|
| 820 | 0.4 60 0.85 |
---|
| 821 | 0.5 80 0.8 |
---|
| 822 | 0.6 90 0.75 |
---|
| 823 | method: Interpolation method when correcting from a table. |
---|
| 824 | Values are "nearest", "linear" (default), "cubic" |
---|
| 825 | and "spline" |
---|
| 826 | insitu: if False a new scantable is returned. |
---|
| 827 | Otherwise, the scaling is done in-situ |
---|
| 828 | The default is taken from .asaprc (False) |
---|
| 829 | """ |
---|
| 830 | |
---|
| 831 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 832 | self._math._setinsitu(insitu) |
---|
[513] | 833 | varlist = vars() |
---|
| 834 | if poly is None: |
---|
| 835 | poly = () |
---|
| 836 | from os.path import expandvars |
---|
| 837 | filename = expandvars(filename) |
---|
[876] | 838 | s = scantable(self._math._gainel(self, poly, filename, method)) |
---|
| 839 | s._add_history("gain_el", varlist) |
---|
| 840 | print_log() |
---|
| 841 | if insitu: self._assign(s) |
---|
| 842 | else: return s |
---|
[710] | 843 | |
---|
[513] | 844 | def freq_align(self, reftime=None, method='cubic', perif=False, |
---|
| 845 | insitu=None): |
---|
| 846 | """ |
---|
| 847 | Return a scan where all rows have been aligned in frequency/velocity. |
---|
| 848 | The alignment frequency frame (e.g. LSRK) is that set by function |
---|
| 849 | set_freqframe. |
---|
| 850 | Parameters: |
---|
| 851 | reftime: reference time to align at. By default, the time of |
---|
| 852 | the first row of data is used. |
---|
| 853 | method: Interpolation method for regridding the spectra. |
---|
| 854 | Choose from "nearest", "linear", "cubic" (default) |
---|
| 855 | and "spline" |
---|
| 856 | perif: Generate aligners per freqID (no doppler tracking) or |
---|
| 857 | per IF (scan-based doppler tracking) |
---|
| 858 | insitu: if False a new scantable is returned. |
---|
| 859 | Otherwise, the scaling is done in-situ |
---|
| 860 | The default is taken from .asaprc (False) |
---|
| 861 | """ |
---|
[876] | 862 | print "Not yet implemented" |
---|
| 863 | return |
---|
[513] | 864 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 865 | self._math._setinsitu(insitu) |
---|
[513] | 866 | varlist = vars() |
---|
| 867 | if reftime is None: reftime = '' |
---|
| 868 | perfreqid = not perif |
---|
[876] | 869 | s = scantable(self._math._freqalign(self, reftime, method, perfreqid)) |
---|
| 870 | s._add_history("freq_align", varlist) |
---|
| 871 | print_log() |
---|
| 872 | if insitu: self._assign(s) |
---|
| 873 | else: return s |
---|
[513] | 874 | |
---|
[876] | 875 | def opacity(self, tau, insitu=None): |
---|
[513] | 876 | """ |
---|
| 877 | Apply an opacity correction. The data |
---|
| 878 | and Tsys are multiplied by the correction factor. |
---|
| 879 | Parameters: |
---|
| 880 | tau: Opacity from which the correction factor is |
---|
| 881 | exp(tau*ZD) |
---|
| 882 | where ZD is the zenith-distance |
---|
| 883 | insitu: if False a new scantable is returned. |
---|
| 884 | Otherwise, the scaling is done in-situ |
---|
| 885 | The default is taken from .asaprc (False) |
---|
| 886 | """ |
---|
| 887 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 888 | self._math._setinsitu(insitu) |
---|
[513] | 889 | varlist = vars() |
---|
[876] | 890 | s = scantable(self._math._opacity(self, tau)) |
---|
| 891 | s._add_history("opacity", varlist) |
---|
| 892 | print_log() |
---|
| 893 | if insitu: self._assign(s) |
---|
| 894 | else: return s |
---|
[513] | 895 | |
---|
| 896 | def bin(self, width=5, insitu=None): |
---|
| 897 | """ |
---|
| 898 | Return a scan where all spectra have been binned up. |
---|
| 899 | width: The bin width (default=5) in pixels |
---|
| 900 | insitu: if False a new scantable is returned. |
---|
| 901 | Otherwise, the scaling is done in-situ |
---|
| 902 | The default is taken from .asaprc (False) |
---|
| 903 | """ |
---|
| 904 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 905 | self._math._setinsitu(insitu) |
---|
[513] | 906 | varlist = vars() |
---|
[876] | 907 | s = scantable(self._math._bin(self, width)) |
---|
| 908 | s._add_history("bin",varlist) |
---|
| 909 | print_log() |
---|
| 910 | if insitu: self._assign(s) |
---|
| 911 | else: return s |
---|
[513] | 912 | |
---|
[710] | 913 | |
---|
[513] | 914 | def resample(self, width=5, method='cubic', insitu=None): |
---|
| 915 | """ |
---|
| 916 | Return a scan where all spectra have been binned up |
---|
| 917 | width: The bin width (default=5) in pixels |
---|
| 918 | method: Interpolation method when correcting from a table. |
---|
| 919 | Values are "nearest", "linear", "cubic" (default) |
---|
| 920 | and "spline" |
---|
| 921 | insitu: if False a new scantable is returned. |
---|
| 922 | Otherwise, the scaling is done in-situ |
---|
| 923 | The default is taken from .asaprc (False) |
---|
| 924 | """ |
---|
| 925 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 926 | self._math._setinsitu(insitu) |
---|
[513] | 927 | varlist = vars() |
---|
[876] | 928 | s = scantable(self._math._resample(self, method, width)) |
---|
| 929 | s._add_history("resample",varlist) |
---|
| 930 | print_log() |
---|
| 931 | if insitu: self._assign(s) |
---|
| 932 | else: return s |
---|
[513] | 933 | |
---|
| 934 | |
---|
[876] | 935 | # def average_pol(self, mask=None, weight='none', insitu=None): |
---|
| 936 | # """ |
---|
| 937 | # Average the Polarisations together. |
---|
| 938 | # The polarisation cursor of the output scan is set to 0 |
---|
| 939 | # Parameters: |
---|
| 940 | # mask: An optional mask defining the region, where the |
---|
| 941 | # averaging will be applied. The output will have all |
---|
| 942 | # specified points masked. |
---|
| 943 | # weight: Weighting scheme. 'none' (default), 'var' (1/var(spec) |
---|
| 944 | # weighted), or 'tsys' (1/Tsys**2 weighted) |
---|
| 945 | # insitu: if False a new scantable is returned. |
---|
| 946 | # Otherwise, the scaling is done in-situ |
---|
| 947 | # The default is taken from .asaprc (False) |
---|
| 948 | # """ |
---|
| 949 | # if insitu is None: insitu = rcParams['insitu'] |
---|
| 950 | # self._math._setinsitu(insitu) |
---|
| 951 | # varlist = vars() |
---|
| 952 | # |
---|
| 953 | # if mask is None: |
---|
| 954 | # mask = () |
---|
| 955 | # s = self._math._averagepol(self, mask, weight) |
---|
| 956 | # s._add_history("average_pol",varlist) |
---|
| 957 | # print_log() |
---|
| 958 | # if insitu: self._assign(s) |
---|
| 959 | # else: return scantable(s) |
---|
[513] | 960 | |
---|
[876] | 961 | def smooth(self, kernel="hanning", width=5.0, insitu=None): |
---|
[513] | 962 | """ |
---|
| 963 | Smooth the spectrum by the specified kernel (conserving flux). |
---|
| 964 | Parameters: |
---|
| 965 | scan: The input scan |
---|
| 966 | kernel: The type of smoothing kernel. Select from |
---|
| 967 | 'hanning' (default), 'gaussian' and 'boxcar'. |
---|
| 968 | The first three characters are sufficient. |
---|
| 969 | width: The width of the kernel in pixels. For hanning this is |
---|
| 970 | ignored otherwise it defauls to 5 pixels. |
---|
| 971 | For 'gaussian' it is the Full Width Half |
---|
| 972 | Maximum. For 'boxcar' it is the full width. |
---|
| 973 | insitu: if False a new scantable is returned. |
---|
| 974 | Otherwise, the scaling is done in-situ |
---|
| 975 | The default is taken from .asaprc (False) |
---|
| 976 | Example: |
---|
| 977 | none |
---|
| 978 | """ |
---|
| 979 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 980 | self._math._setinsitu(insitu) |
---|
[513] | 981 | varlist = vars() |
---|
[876] | 982 | s = scantable(self._math._smooth(self,kernel,width)) |
---|
| 983 | s._add_history("smooth", varlist) |
---|
| 984 | print_log() |
---|
| 985 | if insitu: self._assign(s) |
---|
| 986 | else: return s |
---|
[513] | 987 | |
---|
[876] | 988 | |
---|
| 989 | def poly_baseline(self, mask=None, order=0, insitu=None): |
---|
[513] | 990 | """ |
---|
| 991 | Return a scan which has been baselined (all rows) by a polynomial. |
---|
| 992 | Parameters: |
---|
[794] | 993 | scan: a scantable |
---|
| 994 | mask: an optional mask |
---|
| 995 | order: the order of the polynomial (default is 0) |
---|
| 996 | insitu: if False a new scantable is returned. |
---|
| 997 | Otherwise, the scaling is done in-situ |
---|
| 998 | The default is taken from .asaprc (False) |
---|
| 999 | allaxes: If True (default) apply to all spectra. Otherwise |
---|
| 1000 | apply only to the selected (beam/pol/if)spectra only |
---|
| 1001 | The default is taken from .asaprc (True if none) |
---|
[513] | 1002 | Example: |
---|
| 1003 | # return a scan baselined by a third order polynomial, |
---|
| 1004 | # not using a mask |
---|
| 1005 | bscan = scan.poly_baseline(order=3) |
---|
[579] | 1006 | """ |
---|
[513] | 1007 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 1008 | varlist = vars() |
---|
| 1009 | if mask is None: |
---|
| 1010 | from numarray import ones |
---|
[876] | 1011 | mask = list(ones(self.nchan(-1))) |
---|
[513] | 1012 | from asap.asapfitter import fitter |
---|
| 1013 | f = fitter() |
---|
| 1014 | f.set_scan(self, mask) |
---|
| 1015 | f.set_function(poly=order) |
---|
[876] | 1016 | s = f.auto_fit(insitu) |
---|
| 1017 | s._add_history("poly_baseline", varlist) |
---|
[718] | 1018 | print_log() |
---|
[876] | 1019 | if insitu: self._assign(s) |
---|
| 1020 | else: return s |
---|
[513] | 1021 | |
---|
[880] | 1022 | def auto_poly_baseline(self, mask=None, edge=(0,0), order=0, |
---|
| 1023 | threshold=3, insitu=None): |
---|
| 1024 | """ |
---|
| 1025 | Return a scan which has been baselined (all rows) by a polynomial. |
---|
| 1026 | Spectral lines are detected first using linefinder and masked out |
---|
| 1027 | to avoid them affecting the baseline solution. |
---|
| 1028 | |
---|
| 1029 | Parameters: |
---|
| 1030 | mask: an optional mask retreived from scantable |
---|
| 1031 | edge: an optional number of channel to drop at |
---|
| 1032 | the edge of spectrum. If only one value is |
---|
| 1033 | specified, the same number will be dropped from |
---|
| 1034 | both sides of the spectrum. Default is to keep |
---|
[907] | 1035 | all channels. Nested tuples represent individual |
---|
| 1036 | edge selection for different IFs (a number of spectral |
---|
| 1037 | channels can be different) |
---|
[880] | 1038 | order: the order of the polynomial (default is 0) |
---|
| 1039 | threshold: the threshold used by line finder. It is better to |
---|
| 1040 | keep it large as only strong lines affect the |
---|
| 1041 | baseline solution. |
---|
| 1042 | insitu: if False a new scantable is returned. |
---|
| 1043 | Otherwise, the scaling is done in-situ |
---|
| 1044 | The default is taken from .asaprc (False) |
---|
| 1045 | |
---|
| 1046 | Example: |
---|
| 1047 | scan2=scan.auto_poly_baseline(order=7) |
---|
| 1048 | """ |
---|
| 1049 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 1050 | varlist = vars() |
---|
| 1051 | from asap.asapfitter import fitter |
---|
| 1052 | from asap.asaplinefind import linefinder |
---|
| 1053 | from asap import _is_sequence_or_number as _is_valid |
---|
| 1054 | |
---|
[907] | 1055 | # check whether edge is set up for each IF individually |
---|
| 1056 | individualEdge = False; |
---|
| 1057 | if len(edge)>1: |
---|
| 1058 | if isinstance(edge[0],list) or isinstance(edge[0],tuple): |
---|
| 1059 | individualEdge = True; |
---|
| 1060 | |
---|
| 1061 | if not _is_valid(edge, int) and not individualEdge: |
---|
[909] | 1062 | raise ValueError, "Parameter 'edge' has to be an integer or a \ |
---|
[907] | 1063 | pair of integers specified as a tuple. Nested tuples are allowed \ |
---|
| 1064 | to make individual selection for different IFs." |
---|
| 1065 | |
---|
| 1066 | curedge = (0,0) |
---|
| 1067 | if individualEdge: |
---|
| 1068 | for edge_par in edge: |
---|
| 1069 | if not _is_valid(edge,int): |
---|
[909] | 1070 | raise ValueError, "Each element of the 'edge' tuple has \ |
---|
[907] | 1071 | to be a pair of integers or an integer." |
---|
| 1072 | else: |
---|
| 1073 | curedge = edge; |
---|
[880] | 1074 | |
---|
| 1075 | # setup fitter |
---|
| 1076 | f = fitter() |
---|
| 1077 | f.set_function(poly=order) |
---|
| 1078 | |
---|
| 1079 | # setup line finder |
---|
| 1080 | fl=linefinder() |
---|
| 1081 | fl.set_options(threshold=threshold) |
---|
| 1082 | |
---|
| 1083 | if not insitu: |
---|
| 1084 | workscan=self.copy() |
---|
| 1085 | else: |
---|
| 1086 | workscan=self |
---|
| 1087 | |
---|
[907] | 1088 | fl.set_scan(workscan) |
---|
| 1089 | |
---|
[880] | 1090 | rows=range(workscan.nrow()) |
---|
| 1091 | from asap import asaplog |
---|
| 1092 | asaplog.push("Processing:") |
---|
| 1093 | for r in rows: |
---|
| 1094 | msg = " Scan[%d] Beam[%d] IF[%d] Pol[%d] Cycle[%d]" % (workscan.getscan(r),workscan.getbeam(r),workscan.getif(r),workscan.getpol(r), workscan.getcycle(r)) |
---|
| 1095 | asaplog.push(msg, False) |
---|
[907] | 1096 | |
---|
| 1097 | # figure out edge parameter |
---|
| 1098 | if individualEdge: |
---|
| 1099 | if len(edge)>=workscan.getif(r): |
---|
| 1100 | raise RuntimeError, "Number of edge elements appear to be less than the number of IFs" |
---|
| 1101 | curedge = edge[workscan.getif(r)] |
---|
| 1102 | |
---|
| 1103 | # setup line finder |
---|
| 1104 | fl.find_lines(r,mask,curedge) |
---|
[880] | 1105 | f.set_scan(workscan, fl.get_mask()) |
---|
| 1106 | f.x = workscan._getabcissa(r) |
---|
| 1107 | f.y = workscan._getspectrum(r) |
---|
| 1108 | f.data = None |
---|
| 1109 | f.fit() |
---|
| 1110 | x = f.get_parameters() |
---|
| 1111 | workscan._setspectrum(f.fitter.getresidual(), r) |
---|
| 1112 | workscan._add_history("poly_baseline", varlist) |
---|
| 1113 | if insitu: |
---|
| 1114 | self._assign(workscan) |
---|
| 1115 | else: |
---|
| 1116 | return workscan |
---|
| 1117 | |
---|
[914] | 1118 | def rotate_linpolphase(self, angle): |
---|
| 1119 | """ |
---|
| 1120 | Rotate the phase of the complex polarization O=Q+iU correlation. |
---|
| 1121 | This is always done in situ in the raw data. So if you call this |
---|
| 1122 | function more than once then each call rotates the phase further. |
---|
| 1123 | Parameters: |
---|
| 1124 | angle: The angle (degrees) to rotate (add) by. |
---|
| 1125 | Examples: |
---|
| 1126 | scan.rotate_linpolphase(2.3) |
---|
| 1127 | """ |
---|
| 1128 | varlist = vars() |
---|
| 1129 | self.stm._rotate_linpolphase(self, angle) |
---|
| 1130 | self._add_history("rotate_linpolphase", varlist) |
---|
| 1131 | print_log() |
---|
| 1132 | return |
---|
[710] | 1133 | |
---|
[513] | 1134 | |
---|
[914] | 1135 | def rotate_xyphase(self, angle): |
---|
| 1136 | """ |
---|
| 1137 | Rotate the phase of the XY correlation. This is always done in situ |
---|
| 1138 | in the data. So if you call this function more than once |
---|
| 1139 | then each call rotates the phase further. |
---|
| 1140 | Parameters: |
---|
| 1141 | angle: The angle (degrees) to rotate (add) by. |
---|
| 1142 | Examples: |
---|
| 1143 | scan.rotate_xyphase(2.3) |
---|
| 1144 | """ |
---|
| 1145 | varlist = vars() |
---|
| 1146 | self.stm._rotate_xyphase(self, angle, allaxes) |
---|
| 1147 | self._add_history("rotate_xyphase", varlist) |
---|
| 1148 | print_log() |
---|
| 1149 | return |
---|
| 1150 | |
---|
| 1151 | def swap_linears(self): |
---|
| 1152 | """ |
---|
| 1153 | Swap the linear polarisations XX and YY |
---|
| 1154 | """ |
---|
| 1155 | varlist = vars() |
---|
| 1156 | self.stm._swap_linears(self) |
---|
| 1157 | self._add_history("swap_linears", varlist) |
---|
| 1158 | print_log() |
---|
| 1159 | return |
---|
| 1160 | |
---|
| 1161 | def invert_phase(self): |
---|
| 1162 | """ |
---|
| 1163 | Invert the phase of the complex polarisation |
---|
| 1164 | """ |
---|
| 1165 | varlist = vars() |
---|
| 1166 | self.stm._invert_phase(self) |
---|
| 1167 | self._add_history("invert_phase", varlist) |
---|
| 1168 | print_log() |
---|
| 1169 | return |
---|
| 1170 | |
---|
[876] | 1171 | def add(self, offset, insitu=None): |
---|
[513] | 1172 | """ |
---|
| 1173 | Return a scan where all spectra have the offset added |
---|
| 1174 | Parameters: |
---|
| 1175 | offset: the offset |
---|
| 1176 | insitu: if False a new scantable is returned. |
---|
| 1177 | Otherwise, the scaling is done in-situ |
---|
| 1178 | The default is taken from .asaprc (False) |
---|
| 1179 | """ |
---|
| 1180 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1181 | self._math._setinsitu(insitu) |
---|
[513] | 1182 | varlist = vars() |
---|
[876] | 1183 | s = scantable(self._math._unaryop(self, offset, "ADD", False)) |
---|
| 1184 | s._add_history("add",varlist) |
---|
| 1185 | print_log() |
---|
| 1186 | if insitu: |
---|
| 1187 | self._assign(s) |
---|
| 1188 | else: |
---|
[513] | 1189 | return s |
---|
| 1190 | |
---|
[876] | 1191 | def scale(self, factor, tsys=True, insitu=None,): |
---|
[513] | 1192 | """ |
---|
| 1193 | Return a scan where all spectra are scaled by the give 'factor' |
---|
| 1194 | Parameters: |
---|
| 1195 | factor: the scaling factor |
---|
| 1196 | insitu: if False a new scantable is returned. |
---|
| 1197 | Otherwise, the scaling is done in-situ |
---|
| 1198 | The default is taken from .asaprc (False) |
---|
| 1199 | tsys: if True (default) then apply the operation to Tsys |
---|
| 1200 | as well as the data |
---|
| 1201 | """ |
---|
| 1202 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1203 | self._math._setinsitu(insitu) |
---|
[513] | 1204 | varlist = vars() |
---|
[876] | 1205 | s = scantable(self._math._unaryop(self, factor, "MUL", tsys)) |
---|
| 1206 | s._add_history("scale",varlist) |
---|
| 1207 | print_log() |
---|
| 1208 | if insitu: |
---|
| 1209 | self._assign(s) |
---|
| 1210 | else: |
---|
[513] | 1211 | return s |
---|
| 1212 | |
---|
[876] | 1213 | def auto_quotient(self, mode='time', preserve=True): |
---|
[670] | 1214 | """ |
---|
| 1215 | This function allows to build quotients automatically. |
---|
| 1216 | It assumes the observation to have the same numer of |
---|
| 1217 | "ons" and "offs" |
---|
| 1218 | It will support "closest off in time" in the future |
---|
| 1219 | Parameters: |
---|
| 1220 | mode: the on/off detection mode; 'suffix' (default) |
---|
| 1221 | 'suffix' identifies 'off' scans by the |
---|
| 1222 | trailing '_R' (Mopra/Parkes) or |
---|
| 1223 | '_e'/'_w' (Tid) |
---|
[710] | 1224 | preserve: you can preserve (default) the continuum or |
---|
| 1225 | remove it. The equations used are |
---|
[670] | 1226 | preserve: Output = Toff * (on/off) - Toff |
---|
| 1227 | remove: Output = Tref * (on/off) - Ton |
---|
| 1228 | """ |
---|
[876] | 1229 | modes = ["time"] |
---|
[670] | 1230 | if not mode in modes: |
---|
[876] | 1231 | msg = "please provide valid mode. Valid modes are %s" % (modes) |
---|
| 1232 | raise ValueError(msg) |
---|
| 1233 | varlist = vars() |
---|
| 1234 | s = scantable(self._math._quotient(self, mode, preserve)) |
---|
| 1235 | s._add_history("auto_quotient",varlist) |
---|
| 1236 | print_log() |
---|
| 1237 | return s |
---|
[710] | 1238 | |
---|
[513] | 1239 | |
---|
[876] | 1240 | |
---|
| 1241 | |
---|
[718] | 1242 | def freq_switch(self, insitu=None): |
---|
| 1243 | """ |
---|
| 1244 | Apply frequency switching to the data. |
---|
| 1245 | Parameters: |
---|
| 1246 | insitu: if False a new scantable is returned. |
---|
| 1247 | Otherwise, the swictching is done in-situ |
---|
| 1248 | The default is taken from .asaprc (False) |
---|
| 1249 | Example: |
---|
| 1250 | none |
---|
| 1251 | """ |
---|
| 1252 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1253 | self._math._setinsitu(insitu) |
---|
[718] | 1254 | varlist = vars() |
---|
[876] | 1255 | s = scantable(self._math._freqswitch(self)) |
---|
| 1256 | s._add_history("freq_switch",varlist) |
---|
| 1257 | print_log() |
---|
| 1258 | if insitu: self._assign(s) |
---|
| 1259 | else: return s |
---|
[718] | 1260 | |
---|
[780] | 1261 | def recalc_azel(self): |
---|
| 1262 | """ |
---|
| 1263 | Recalculate the azimuth and elevation for each position. |
---|
| 1264 | Parameters: |
---|
| 1265 | none |
---|
| 1266 | Example: |
---|
| 1267 | """ |
---|
| 1268 | varlist = vars() |
---|
[876] | 1269 | self._recalcazel() |
---|
[780] | 1270 | self._add_history("recalc_azel", varlist) |
---|
| 1271 | print_log() |
---|
| 1272 | return |
---|
| 1273 | |
---|
[513] | 1274 | def __add__(self, other): |
---|
| 1275 | varlist = vars() |
---|
| 1276 | s = None |
---|
| 1277 | if isinstance(other, scantable): |
---|
[876] | 1278 | print "scantable + scantable NYI" |
---|
| 1279 | return |
---|
[513] | 1280 | elif isinstance(other, float): |
---|
[876] | 1281 | s = scantable(self._math._unaryop(self, other, "ADD", False)) |
---|
[513] | 1282 | else: |
---|
[718] | 1283 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1284 | s._add_history("operator +", varlist) |
---|
[718] | 1285 | print_log() |
---|
[513] | 1286 | return s |
---|
| 1287 | |
---|
| 1288 | def __sub__(self, other): |
---|
| 1289 | """ |
---|
| 1290 | implicit on all axes and on Tsys |
---|
| 1291 | """ |
---|
| 1292 | varlist = vars() |
---|
| 1293 | s = None |
---|
| 1294 | if isinstance(other, scantable): |
---|
[876] | 1295 | print "scantable - scantable NYI" |
---|
| 1296 | return |
---|
[513] | 1297 | elif isinstance(other, float): |
---|
[876] | 1298 | s = scantable(self._math._unaryop(self, other, "SUB", False)) |
---|
[513] | 1299 | else: |
---|
[718] | 1300 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1301 | s._add_history("operator -", varlist) |
---|
[718] | 1302 | print_log() |
---|
[513] | 1303 | return s |
---|
[710] | 1304 | |
---|
[513] | 1305 | def __mul__(self, other): |
---|
| 1306 | """ |
---|
| 1307 | implicit on all axes and on Tsys |
---|
| 1308 | """ |
---|
| 1309 | varlist = vars() |
---|
| 1310 | s = None |
---|
| 1311 | if isinstance(other, scantable): |
---|
[876] | 1312 | print "scantable * scantable NYI" |
---|
| 1313 | return |
---|
[513] | 1314 | elif isinstance(other, float): |
---|
[876] | 1315 | s = scantable(self._math._unaryop(self, other, "MUL", False)) |
---|
[513] | 1316 | else: |
---|
[718] | 1317 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1318 | s._add_history("operator *", varlist) |
---|
[718] | 1319 | print_log() |
---|
[513] | 1320 | return s |
---|
| 1321 | |
---|
[710] | 1322 | |
---|
[513] | 1323 | def __div__(self, other): |
---|
| 1324 | """ |
---|
| 1325 | implicit on all axes and on Tsys |
---|
| 1326 | """ |
---|
| 1327 | varlist = vars() |
---|
| 1328 | s = None |
---|
| 1329 | if isinstance(other, scantable): |
---|
[876] | 1330 | print "scantable / scantable NYI" |
---|
| 1331 | return |
---|
[513] | 1332 | elif isinstance(other, float): |
---|
| 1333 | if other == 0.0: |
---|
[718] | 1334 | raise ZeroDivisionError("Dividing by zero is not recommended") |
---|
[876] | 1335 | s = scantable(self._math._unaryop(self, other, "DIV", False)) |
---|
[513] | 1336 | else: |
---|
[718] | 1337 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1338 | s._add_history("operator /", varlist) |
---|
[718] | 1339 | print_log() |
---|
[513] | 1340 | return s |
---|
| 1341 | |
---|
[530] | 1342 | def get_fit(self, row=0): |
---|
| 1343 | """ |
---|
| 1344 | Print or return the stored fits for a row in the scantable |
---|
| 1345 | Parameters: |
---|
| 1346 | row: the row which the fit has been applied to. |
---|
| 1347 | """ |
---|
| 1348 | if row > self.nrow(): |
---|
| 1349 | return |
---|
| 1350 | from asap import asapfit |
---|
| 1351 | fit = asapfit(self._getfit(row)) |
---|
[718] | 1352 | if rcParams['verbose']: |
---|
[530] | 1353 | print fit |
---|
| 1354 | return |
---|
| 1355 | else: |
---|
| 1356 | return fit.as_dict() |
---|
| 1357 | |
---|
[484] | 1358 | def _add_history(self, funcname, parameters): |
---|
| 1359 | # create date |
---|
| 1360 | sep = "##" |
---|
| 1361 | from datetime import datetime |
---|
| 1362 | dstr = datetime.now().strftime('%Y/%m/%d %H:%M:%S') |
---|
| 1363 | hist = dstr+sep |
---|
| 1364 | hist += funcname+sep#cdate+sep |
---|
| 1365 | if parameters.has_key('self'): del parameters['self'] |
---|
| 1366 | for k,v in parameters.iteritems(): |
---|
| 1367 | if type(v) is dict: |
---|
| 1368 | for k2,v2 in v.iteritems(): |
---|
| 1369 | hist += k2 |
---|
| 1370 | hist += "=" |
---|
| 1371 | if isinstance(v2,scantable): |
---|
| 1372 | hist += 'scantable' |
---|
| 1373 | elif k2 == 'mask': |
---|
[513] | 1374 | if isinstance(v2,list) or isinstance(v2,tuple): |
---|
| 1375 | hist += str(self._zip_mask(v2)) |
---|
| 1376 | else: |
---|
| 1377 | hist += str(v2) |
---|
[484] | 1378 | else: |
---|
[513] | 1379 | hist += str(v2) |
---|
[484] | 1380 | else: |
---|
| 1381 | hist += k |
---|
| 1382 | hist += "=" |
---|
| 1383 | if isinstance(v,scantable): |
---|
| 1384 | hist += 'scantable' |
---|
| 1385 | elif k == 'mask': |
---|
[513] | 1386 | if isinstance(v,list) or isinstance(v,tuple): |
---|
| 1387 | hist += str(self._zip_mask(v)) |
---|
| 1388 | else: |
---|
| 1389 | hist += str(v) |
---|
[484] | 1390 | else: |
---|
| 1391 | hist += str(v) |
---|
| 1392 | hist += sep |
---|
| 1393 | hist = hist[:-2] # remove trailing '##' |
---|
| 1394 | self._addhistory(hist) |
---|
| 1395 | |
---|
[710] | 1396 | |
---|
[484] | 1397 | def _zip_mask(self, mask): |
---|
| 1398 | mask = list(mask) |
---|
| 1399 | i = 0 |
---|
| 1400 | segments = [] |
---|
| 1401 | while mask[i:].count(1): |
---|
| 1402 | i += mask[i:].index(1) |
---|
| 1403 | if mask[i:].count(0): |
---|
| 1404 | j = i + mask[i:].index(0) |
---|
| 1405 | else: |
---|
[710] | 1406 | j = len(mask) |
---|
[484] | 1407 | segments.append([i,j]) |
---|
[710] | 1408 | i = j |
---|
[484] | 1409 | return segments |
---|
[714] | 1410 | |
---|
[626] | 1411 | def _get_ordinate_label(self): |
---|
| 1412 | fu = "("+self.get_fluxunit()+")" |
---|
| 1413 | import re |
---|
| 1414 | lbl = "Intensity" |
---|
| 1415 | if re.match(".K.",fu): |
---|
| 1416 | lbl = "Brightness Temperature "+ fu |
---|
| 1417 | elif re.match(".Jy.",fu): |
---|
| 1418 | lbl = "Flux density "+ fu |
---|
| 1419 | return lbl |
---|
[710] | 1420 | |
---|
[876] | 1421 | def _check_ifs(self): |
---|
| 1422 | nchans = [self.nchan(i) for i in range(self.nif(-1))] |
---|
[889] | 1423 | nchans = filter(lambda t: t > 0, nchans) |
---|
[876] | 1424 | return (sum(nchans)/len(nchans) == nchans[0]) |
---|