[101] | 1 | from scantable import scantable |
---|
[258] | 2 | from asap import rcParams |
---|
[101] | 3 | |
---|
[143] | 4 | def average_time(*args, **kwargs): |
---|
[101] | 5 | """ |
---|
[113] | 6 | Return the (time) average of a scan or list of scans. [in channels only] |
---|
[305] | 7 | The cursor of the output scan is set to 0 |
---|
[113] | 8 | Parameters: |
---|
| 9 | one scan or comma separated scans |
---|
[143] | 10 | mask: an optional mask (only used for 'var' and 'tsys' weighting) |
---|
[424] | 11 | scanav: True (default) averages each scan separately |
---|
| 12 | False averages all scans together, |
---|
[143] | 13 | weight: Weighting scheme. 'none' (default), 'var' (variance |
---|
| 14 | weighted), 'tsys' |
---|
[113] | 15 | Example: |
---|
| 16 | # return a time averaged scan from scana and scanb |
---|
| 17 | # without using a mask |
---|
[129] | 18 | scanav = average_time(scana,scanb) |
---|
[113] | 19 | # return the (time) averaged scan, i.e. the average of |
---|
| 20 | # all correlator cycles |
---|
| 21 | scanav = average_time(scan) |
---|
[143] | 22 | |
---|
[101] | 23 | """ |
---|
[424] | 24 | scanAv = True |
---|
[143] | 25 | if kwargs.has_key('scanav'): |
---|
| 26 | scanAv = kwargs.get('scanav') |
---|
| 27 | weight = 'none' |
---|
| 28 | if kwargs.has_key('weight'): |
---|
| 29 | weight = kwargs.get('weight') |
---|
| 30 | mask = () |
---|
| 31 | if kwargs.has_key('mask'): |
---|
| 32 | mask = kwargs.get('mask') |
---|
[489] | 33 | varlist = vars() |
---|
[143] | 34 | lst = tuple(args) |
---|
[489] | 35 | del varlist["kwargs"] |
---|
| 36 | varlist["args"] = "%d scantables" % len(lst) |
---|
| 37 | # need special formatting her for history... |
---|
| 38 | |
---|
[143] | 39 | from asap._asap import average as _av |
---|
[113] | 40 | for s in lst: |
---|
[101] | 41 | if not isinstance(s,scantable): |
---|
| 42 | print "Please give a list of scantables" |
---|
| 43 | return |
---|
[489] | 44 | s = scantable(_av(lst, mask, scanAv, weight)) |
---|
| 45 | s._add_history("average_time",varlist) |
---|
| 46 | return s |
---|
[101] | 47 | |
---|
[245] | 48 | def quotient(source, reference, preserve=True): |
---|
[101] | 49 | """ |
---|
[246] | 50 | Return the quotient of a 'source' (signal) scan and a 'reference' scan. |
---|
| 51 | The reference can have just one row, even if the signal has many. Otherwise |
---|
| 52 | they must have the same number of rows. |
---|
[305] | 53 | The cursor of the output scan is set to 0 |
---|
[101] | 54 | Parameters: |
---|
| 55 | source: the 'on' scan |
---|
| 56 | reference: the 'off' scan |
---|
[245] | 57 | preserve: you can preserve (default) the continuum or |
---|
| 58 | remove it. The equations used are |
---|
| 59 | preserve - Output = Tref * (sig/ref) - Tref |
---|
| 60 | remove - Output = Tref * (sig/ref) - Tsig |
---|
[101] | 61 | """ |
---|
| 62 | from asap._asap import quotient as _quot |
---|
[245] | 63 | return scantable(_quot(source, reference, preserve)) |
---|
[101] | 64 | |
---|
[296] | 65 | def simple_math(left, right, op='add', tsys=True): |
---|
[242] | 66 | """ |
---|
| 67 | Apply simple mathematical binary operations to two |
---|
| 68 | scan tables, returning the result in a new scan table. |
---|
| 69 | The operation is applied to both the correlations and the TSys data |
---|
[305] | 70 | The cursor of the output scan is set to 0 |
---|
[242] | 71 | Parameters: |
---|
| 72 | left: the 'left' scan |
---|
| 73 | right: the 'right' scan |
---|
| 74 | op: the operation: 'add' (default), 'sub', 'mul', 'div' |
---|
[296] | 75 | tsys: if True (default) then apply the operation to Tsys |
---|
| 76 | as well as the data |
---|
[242] | 77 | """ |
---|
[489] | 78 | varlist = vars() |
---|
[258] | 79 | if not isinstance(left,scantable) and not isinstance(right,scantable): |
---|
| 80 | print "Please provide two scantables as input" |
---|
| 81 | return |
---|
[242] | 82 | from asap._asap import b_operate as _bop |
---|
[489] | 83 | s = scantable(_bop(left, right, op, tsys)) |
---|
| 84 | s._add_history("simple_math", varlist) |
---|
| 85 | return s |
---|
[242] | 86 | |
---|
[296] | 87 | def scale(scan, factor, insitu=None, allaxes=None, tsys=True): |
---|
[101] | 88 | """ |
---|
| 89 | Return a scan where all spectra are scaled by the give 'factor' |
---|
| 90 | Parameters: |
---|
| 91 | scan: a scantable |
---|
[113] | 92 | factor: the scaling factor |
---|
[258] | 93 | insitu: if False a new scantable is returned. |
---|
[150] | 94 | Otherwise, the scaling is done in-situ |
---|
[258] | 95 | The default is taken from .asaprc (False) |
---|
| 96 | allaxes: if True apply to all spectra. Otherwise |
---|
| 97 | apply only to the selected (beam/pol/if)spectra only. |
---|
[435] | 98 | The default is taken from .asaprc (True if none) |
---|
[296] | 99 | tsys: if True (default) then apply the operation to Tsys |
---|
| 100 | as well as the data |
---|
[101] | 101 | """ |
---|
[258] | 102 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
| 103 | if insitu is None: insitu = rcParams['insitu'] |
---|
[489] | 104 | varlist = vars() |
---|
[141] | 105 | if not insitu: |
---|
| 106 | from asap._asap import scale as _scale |
---|
[489] | 107 | s = scantable(_scale(scan, factor, allaxes, tsys)) |
---|
| 108 | s._add_history("scale",varlist) |
---|
| 109 | return s |
---|
[141] | 110 | else: |
---|
| 111 | from asap._asap import scale_insitu as _scale |
---|
[296] | 112 | _scale(scan, factor, allaxes, tsys) |
---|
[489] | 113 | scan._add_history("scale",varlist) |
---|
[141] | 114 | return |
---|
| 115 | |
---|
[258] | 116 | def add(scan, offset, insitu=None, allaxes=None): |
---|
[113] | 117 | """ |
---|
[150] | 118 | Return a scan where all spectra have the offset added |
---|
[113] | 119 | Parameters: |
---|
| 120 | scan: a scantable |
---|
[150] | 121 | offset: the offset |
---|
[258] | 122 | insitu: if False a new scantable is returned. |
---|
| 123 | Otherwise, the scaling is done in-situ |
---|
| 124 | The default is taken from .asaprc (False) |
---|
| 125 | allaxes: if True apply to all spectra. Otherwise |
---|
[150] | 126 | apply only to the selected (beam/pol/if)spectra only |
---|
[435] | 127 | The default is taken from .asaprc (True if none) |
---|
[113] | 128 | """ |
---|
[258] | 129 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
| 130 | if insitu is None: insitu = rcParams['insitu'] |
---|
[150] | 131 | if not insitu: |
---|
| 132 | from asap._asap import add as _add |
---|
[258] | 133 | return scantable(_add(scan, offset, allaxes)) |
---|
[150] | 134 | else: |
---|
| 135 | from asap._asap import add_insitu as _add |
---|
[258] | 136 | _add(scan, offset, allaxes) |
---|
[150] | 137 | return |
---|
| 138 | |
---|
[489] | 139 | def convert_flux(scan, jyperk=None, eta=None, d=None, insitu=None, |
---|
| 140 | allaxes=None): |
---|
[224] | 141 | """ |
---|
| 142 | Return a scan where all spectra are converted to either Jansky or Kelvin |
---|
[359] | 143 | depending upon the flux units of the scan table. By default the |
---|
| 144 | function tries to look the values up internally. If it can't find |
---|
| 145 | them (or if you want to over-ride), you must specify EITHER jyperk |
---|
| 146 | OR eta (and D which it will try to look up also if you don't |
---|
| 147 | set it). jyperk takes precedence if you set both. |
---|
[224] | 148 | Parameters: |
---|
| 149 | scan: a scantable |
---|
[359] | 150 | jyperk: the Jy / K conversion factor |
---|
| 151 | eta: the aperture efficiency |
---|
| 152 | d: the geomtric diameter (metres) |
---|
[258] | 153 | insitu: if False a new scantable is returned. |
---|
| 154 | Otherwise, the scaling is done in-situ |
---|
| 155 | The default is taken from .asaprc (False) |
---|
| 156 | allaxes: if True apply to all spectra. Otherwise |
---|
[224] | 157 | apply only to the selected (beam/pol/if)spectra only |
---|
[435] | 158 | The default is taken from .asaprc (True if none) |
---|
[224] | 159 | """ |
---|
[258] | 160 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
| 161 | if insitu is None: insitu = rcParams['insitu'] |
---|
[489] | 162 | varlist = vars() |
---|
[359] | 163 | if jyperk is None: jyperk = -1.0 |
---|
| 164 | if d is None: d = -1.0 |
---|
| 165 | if eta is None: eta = -1.0 |
---|
[224] | 166 | if not insitu: |
---|
| 167 | from asap._asap import convertflux as _convert |
---|
[489] | 168 | s = scantable(_convert(scan, d, eta, jyperk, allaxes)) |
---|
| 169 | s._add_history("convert_flux", varlist) |
---|
| 170 | return s |
---|
[224] | 171 | else: |
---|
| 172 | from asap._asap import convertflux_insitu as _convert |
---|
[359] | 173 | _convert(scan, d, eta, jyperk, allaxes) |
---|
[489] | 174 | scan._add_history("convert_flux", varlist) |
---|
[224] | 175 | return |
---|
[229] | 176 | |
---|
[411] | 177 | def gain_el(scan, poly=None, filename="", method="linear", |
---|
| 178 | insitu=None, allaxes=None): |
---|
[229] | 179 | """ |
---|
[242] | 180 | Return a scan after applying a gain-elevation correction. The correction |
---|
| 181 | can be made via either a polynomial or a table-based interpolation |
---|
| 182 | (and extrapolation if necessary). |
---|
| 183 | You specify polynomial coefficients, an ascii table or neither. |
---|
| 184 | If you specify neither, then a polynomial correction will be made |
---|
| 185 | with built in coefficients known for certain telescopes (an error will |
---|
[481] | 186 | occur if the instrument is not known). The data and Tsys are *divided* |
---|
[479] | 187 | by the scaling factors. |
---|
[229] | 188 | Parameters: |
---|
| 189 | scan: a scantable |
---|
[258] | 190 | poly: Polynomial coefficients (default None) to compute a |
---|
| 191 | gain-elevation correction as a function of |
---|
| 192 | elevation (in degrees). |
---|
[242] | 193 | filename: The name of an ascii file holding correction factors. |
---|
| 194 | The first row of the ascii file must give the column |
---|
| 195 | names and these MUST include columns |
---|
[258] | 196 | "ELEVATION" (degrees) and "FACTOR" (multiply data by this) |
---|
| 197 | somewhere. |
---|
| 198 | The second row must give the data type of the column. Use |
---|
| 199 | 'R' for Real and 'I' for Integer. An example file |
---|
[479] | 200 | would be (actual factors are arbitrary) : |
---|
[229] | 201 | |
---|
[242] | 202 | TIME ELEVATION FACTOR |
---|
| 203 | R R R |
---|
[479] | 204 | 0.1 0 0.8 |
---|
| 205 | 0.2 20 0.85 |
---|
| 206 | 0.3 40 0.9 |
---|
| 207 | 0.4 60 0.85 |
---|
| 208 | 0.5 80 0.8 |
---|
| 209 | 0.6 90 0.75 |
---|
[242] | 210 | method: Interpolation method when correcting from a table. Values |
---|
| 211 | are "nearest", "linear" (default), "cubic" and "spline" |
---|
[258] | 212 | insitu: if False a new scantable is returned. |
---|
| 213 | Otherwise, the scaling is done in-situ |
---|
| 214 | The default is taken from .asaprc (False) |
---|
| 215 | allaxes: if True apply to all spectra. Otherwise |
---|
| 216 | apply only to the selected (beam/pol/if) spectra only |
---|
[435] | 217 | The default is taken from .asaprc (True if none) |
---|
[229] | 218 | """ |
---|
[258] | 219 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
[489] | 220 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 221 | varlist = vars() |
---|
[242] | 222 | if poly is None: |
---|
| 223 | poly = () |
---|
[411] | 224 | from os.path import expandvars |
---|
| 225 | filename = expandvars(filename) |
---|
[229] | 226 | if not insitu: |
---|
| 227 | from asap._asap import gainel as _gainEl |
---|
[489] | 228 | s = scantable(_gainEl(scan, poly, filename, method, allaxes)) |
---|
| 229 | s._add_history("gain_el", varlist) |
---|
| 230 | return s |
---|
[229] | 231 | else: |
---|
| 232 | from asap._asap import gainel_insitu as _gainEl |
---|
[258] | 233 | _gainEl(scan, poly, filename, method, allaxes) |
---|
[489] | 234 | scan._add_history("gain_el", varlist) |
---|
[229] | 235 | return |
---|
[224] | 236 | |
---|
[399] | 237 | def freq_align(scan, reftime=None, method='cubic', perif=False, insitu=None): |
---|
[269] | 238 | """ |
---|
[313] | 239 | Return a scan where all rows have been aligned in frequency. The |
---|
| 240 | alignment frequency frame (e.g. LSRK) is that set by function |
---|
| 241 | set_freqframe. |
---|
[269] | 242 | scan: a scantable |
---|
[273] | 243 | reftime: reference time to align at. By default, the time of |
---|
| 244 | the first row of data is used. |
---|
[319] | 245 | method: Interpolation method for regridding the spectra. Choose |
---|
| 246 | from "nearest", "linear", "cubic" (default) and "spline" |
---|
[399] | 247 | perif: Generate aligners per freqID (no doppler tracking) or |
---|
| 248 | per IF (scan-based doppler tracking) |
---|
[269] | 249 | insitu: if False a new scantable is returned. |
---|
| 250 | Otherwise, the scaling is done in-situ |
---|
| 251 | The default is taken from .asaprc (False) |
---|
| 252 | """ |
---|
[489] | 253 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 254 | varlist = vars() |
---|
[273] | 255 | if reftime is None: reftime = '' |
---|
[399] | 256 | perfreqid = not perif |
---|
[269] | 257 | if not insitu: |
---|
[313] | 258 | from asap._asap import freq_align as _align |
---|
[489] | 259 | s = scantable(_align(scan, reftime, method, perfreqid)) |
---|
| 260 | s._add_history("freq_align", varlist) |
---|
| 261 | return s |
---|
[269] | 262 | else: |
---|
[313] | 263 | from asap._asap import freq_align_insitu as _align |
---|
[399] | 264 | _align(scan, reftime, method, perfreqid) |
---|
[489] | 265 | scan._add_history("freq_align", varlist) |
---|
[269] | 266 | return |
---|
| 267 | |
---|
[258] | 268 | def opacity(scan, tau, insitu=None, allaxes=None): |
---|
[242] | 269 | """ |
---|
[481] | 270 | Return a scan after applying an opacity correction. The data |
---|
| 271 | and Tsys are multiplied by the correction factor. |
---|
[242] | 272 | Parameters: |
---|
| 273 | scan: a scantable |
---|
| 274 | tau: Opacity from which the correction factor is exp(tau*ZD) |
---|
| 275 | where ZD is the zenith-distance |
---|
[258] | 276 | insitu: if False a new scantable is returned. |
---|
| 277 | Otherwise, the scaling is done in-situ |
---|
| 278 | The default is taken from .asaprc (False) |
---|
| 279 | allaxes: if True apply to all spectra. Otherwise |
---|
[242] | 280 | apply only to the selected (beam/pol/if)spectra only |
---|
[435] | 281 | The default is taken from .asaprc (True if none) |
---|
[242] | 282 | """ |
---|
[258] | 283 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
| 284 | if insitu is None: insitu = rcParams['insitu'] |
---|
[489] | 285 | varlist = vars() |
---|
[242] | 286 | if not insitu: |
---|
| 287 | from asap._asap import opacity as _opacity |
---|
[489] | 288 | s = scantable(_opacity(scan, tau, allaxes)) |
---|
| 289 | s._add_history("opacity", varlist) |
---|
| 290 | return s |
---|
[242] | 291 | else: |
---|
| 292 | from asap._asap import opacity_insitu as _opacity |
---|
[258] | 293 | _opacity(scan, tau, allaxes) |
---|
[489] | 294 | scan._add_history("opacity", varlist) |
---|
[242] | 295 | return |
---|
| 296 | |
---|
[258] | 297 | def bin(scan, width=5, insitu=None): |
---|
[101] | 298 | """ |
---|
[167] | 299 | Return a scan where all spectra have been binned up |
---|
[172] | 300 | width: The bin width (default=5) in pixels |
---|
[258] | 301 | insitu: if False a new scantable is returned. |
---|
| 302 | Otherwise, the scaling is done in-situ |
---|
| 303 | The default is taken from .asaprc (False) |
---|
[101] | 304 | """ |
---|
[258] | 305 | if insitu is None: insitu = rcParams['insitu'] |
---|
[489] | 306 | varlist = vars() |
---|
[167] | 307 | if not insitu: |
---|
| 308 | from asap._asap import bin as _bin |
---|
[489] | 309 | s = scantable(_bin(scan, width)) |
---|
| 310 | s._add_history("bin",varlist) |
---|
| 311 | return s |
---|
[167] | 312 | else: |
---|
| 313 | from asap._asap import bin_insitu as _bin |
---|
| 314 | _bin(scan, width) |
---|
[489] | 315 | scan._add_history("bin",varlist) |
---|
[167] | 316 | return |
---|
[113] | 317 | |
---|
[301] | 318 | def resample(scan, width=5, method='cubic', insitu=None): |
---|
| 319 | """ |
---|
| 320 | Return a scan where all spectra have been binned up |
---|
| 321 | width: The bin width (default=5) in pixels |
---|
| 322 | method: Interpolation method when correcting from a table. Values |
---|
| 323 | are "nearest", "linear", "cubic" (default) and "spline" |
---|
| 324 | insitu: if False a new scantable is returned. |
---|
| 325 | Otherwise, the scaling is done in-situ |
---|
| 326 | The default is taken from .asaprc (False) |
---|
| 327 | """ |
---|
| 328 | if insitu is None: insitu = rcParams['insitu'] |
---|
[489] | 329 | varlist = vars() |
---|
[301] | 330 | if not insitu: |
---|
| 331 | from asap._asap import resample as _resample |
---|
[489] | 332 | s = scantable(_resample(scan, method, width)) |
---|
| 333 | s._add_history("resample",varlist) |
---|
| 334 | return s |
---|
[301] | 335 | else: |
---|
| 336 | from asap._asap import resample_insitu as _resample |
---|
| 337 | _resample(scan, method, width) |
---|
[489] | 338 | scan._add_history("resample",varlist) |
---|
[301] | 339 | return |
---|
| 340 | |
---|
[316] | 341 | def average_pol(scan, mask=None, weight='none', insitu=None): |
---|
[113] | 342 | """ |
---|
| 343 | Average the Polarisations together. |
---|
[305] | 344 | The polarisation cursor of the output scan is set to 0 |
---|
[113] | 345 | Parameters: |
---|
[172] | 346 | scan: The scantable |
---|
| 347 | mask: An optional mask defining the region, where the |
---|
| 348 | averaging will be applied. The output will have all |
---|
| 349 | specified points masked. |
---|
[316] | 350 | weight: Weighting scheme. 'none' (default), or 'var' (variance |
---|
| 351 | weighted) |
---|
[258] | 352 | insitu: if False a new scantable is returned. |
---|
| 353 | Otherwise, the scaling is done in-situ |
---|
| 354 | The default is taken from .asaprc (False) |
---|
[113] | 355 | Example: |
---|
| 356 | polav = average_pols(myscan) |
---|
| 357 | """ |
---|
[489] | 358 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 359 | varlist = vars() |
---|
| 360 | |
---|
[113] | 361 | if mask is None: |
---|
[166] | 362 | mask = () |
---|
| 363 | if not insitu: |
---|
| 364 | from asap._asap import averagepol as _avpol |
---|
[489] | 365 | s = scantable(_avpol(scan, mask, weight)) |
---|
| 366 | s._add_history("average_pol",varlist) |
---|
| 367 | return s |
---|
[166] | 368 | else: |
---|
| 369 | from asap._asap import averagepol_insitu as _avpol |
---|
[316] | 370 | _avpol(scan, mask, weight) |
---|
[489] | 371 | scan._add_history("average_pol",varlist) |
---|
[166] | 372 | return |
---|
[113] | 373 | |
---|
[258] | 374 | def smooth(scan, kernel="hanning", width=5.0, insitu=None, allaxes=None): |
---|
[113] | 375 | """ |
---|
[180] | 376 | Smooth the spectrum by the specified kernel (conserving flux). |
---|
[113] | 377 | Parameters: |
---|
[172] | 378 | scan: The input scan |
---|
[180] | 379 | kernel: The type of smoothing kernel. Select from |
---|
| 380 | 'hanning' (default), 'gaussian' and 'boxcar'. |
---|
| 381 | The first three characters are sufficient. |
---|
| 382 | width: The width of the kernel in pixels. For hanning this is |
---|
| 383 | ignored otherwise it defauls to 5 pixels. |
---|
| 384 | For 'gaussian' it is the Full Width Half |
---|
| 385 | Maximum. For 'boxcar' it is the full width. |
---|
[258] | 386 | insitu: if False a new scantable is returned. |
---|
[172] | 387 | Otherwise, the scaling is done in-situ |
---|
[258] | 388 | The default is taken from .asaprc (False) |
---|
| 389 | allaxes: If True (default) apply to all spectra. Otherwise |
---|
[180] | 390 | apply only to the selected (beam/pol/if)spectra only |
---|
[435] | 391 | The default is taken from .asaprc (True if none) |
---|
[113] | 392 | Example: |
---|
| 393 | none |
---|
| 394 | """ |
---|
[258] | 395 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
| 396 | if insitu is None: insitu = rcParams['insitu'] |
---|
[489] | 397 | varlist = vars() |
---|
[172] | 398 | if not insitu: |
---|
[180] | 399 | from asap._asap import smooth as _smooth |
---|
[489] | 400 | s = scantable(_smooth(scan,kernel,width,allaxes)) |
---|
| 401 | s._add_history("smooth", varlist) |
---|
| 402 | return s |
---|
[172] | 403 | else: |
---|
[180] | 404 | from asap._asap import smooth_insitu as _smooth |
---|
[258] | 405 | _smooth(scan,kernel,width,allaxes) |
---|
[489] | 406 | scan._add_history("smooth", varlist) |
---|
[172] | 407 | return |
---|
[113] | 408 | |
---|
[258] | 409 | def poly_baseline(scan, mask=None, order=0, insitu=None): |
---|
[113] | 410 | """ |
---|
[160] | 411 | Return a scan which has been baselined (all rows) by a polynomial. |
---|
[113] | 412 | Parameters: |
---|
| 413 | scan: a scantable |
---|
| 414 | mask: an optional mask |
---|
| 415 | order: the order of the polynomial (default is 0) |
---|
[258] | 416 | insitu: if False a new scantable is returned. |
---|
| 417 | Otherwise, the scaling is done in-situ |
---|
| 418 | The default is taken from .asaprc (False) |
---|
[113] | 419 | Example: |
---|
| 420 | # return a scan baselined by a third order polynomial, |
---|
| 421 | # not using a mask |
---|
| 422 | bscan = poly_baseline(scan, order=3) |
---|
| 423 | """ |
---|
[489] | 424 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 425 | varlist = vars() |
---|
[113] | 426 | from asap.asapfitter import fitter |
---|
| 427 | if mask is None: |
---|
| 428 | from numarray import ones |
---|
| 429 | mask = tuple(ones(scan.nchan())) |
---|
| 430 | f = fitter() |
---|
| 431 | f._verbose(True) |
---|
| 432 | f.set_scan(scan, mask) |
---|
| 433 | f.set_function(poly=order) |
---|
[258] | 434 | sf = f.auto_fit(insitu) |
---|
[489] | 435 | sf._add_history("poly_baseline", varlist) |
---|
[113] | 436 | return sf |
---|
[458] | 437 | |
---|
[489] | 438 | def rotate_xyphase(scan, angle, allaxes=None): |
---|
[458] | 439 | """ |
---|
| 440 | Rotate the phase of the XY correlation. This is always done in situ |
---|
| 441 | in the data. So if you call this function more than once |
---|
| 442 | then each call rotates the phase further. |
---|
| 443 | Parameters: |
---|
| 444 | angle: The angle (degrees) to rotate (add) by. |
---|
| 445 | allaxes: If True apply to all spectra. Otherwise |
---|
| 446 | apply only to the selected (beam/pol/if)spectra only. |
---|
| 447 | The default is taken from .asaprc (True if none) |
---|
| 448 | Examples: |
---|
| 449 | rotate_xyphase(scan, 2.3) |
---|
| 450 | """ |
---|
| 451 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
[489] | 452 | varlist = vars() |
---|
[506] | 453 | from asap._asap import _rotate_xyphase as _rotate |
---|
| 454 | _rotate(scan, angle, allaxes) |
---|
| 455 | scan._add_history("rotate_xyphase", varlist) |
---|
[458] | 456 | return |
---|
[506] | 457 | |
---|
| 458 | def rotate_linpolphase(scan, angle, allaxes=None): |
---|
| 459 | """ |
---|
| 460 | Rotate the phase of the complex polarization O=Q+iU correlation. |
---|
| 461 | This is always done in situ in the raw data. So if you call this |
---|
| 462 | function more than once then each call rotates the phase further. |
---|
| 463 | Parameters: |
---|
| 464 | angle: The angle (degrees) to rotate (add) by. |
---|
| 465 | allaxes: If True apply to all spectra. Otherwise |
---|
| 466 | apply only to the selected (beam/pol/if)spectra only. |
---|
| 467 | The default is taken from .asaprc (True if none) |
---|
| 468 | Examples: |
---|
| 469 | rotate_linpolphase(scan, 2.3) |
---|
| 470 | """ |
---|
| 471 | if allaxes is None: allaxes = rcParams['scantable.allaxes'] |
---|
| 472 | varlist = vars() |
---|
| 473 | from asap._asap import _rotate_linpolphase as _rotate |
---|
| 474 | _rotate(scan, angle, allaxes) |
---|
| 475 | scan._add_history("rotate_linpolphase", varlist) |
---|
| 476 | return |
---|
| 477 | |
---|