| 1 | from scantable import scantable
|
|---|
| 2 | from asap import rcParams
|
|---|
| 3 |
|
|---|
| 4 | def average_time(*args, **kwargs):
|
|---|
| 5 | """
|
|---|
| 6 | Return the (time) average of a scan or list of scans. [in channels only]
|
|---|
| 7 | The cursor of the output scan is set to 0
|
|---|
| 8 | Parameters:
|
|---|
| 9 | one scan or comma separated scans
|
|---|
| 10 | mask: an optional mask (only used for 'var' and 'tsys' weighting)
|
|---|
| 11 | scanav: True (default) averages each scan separately
|
|---|
| 12 | False averages all scans together,
|
|---|
| 13 | weight: Weighting scheme. 'none' (default), 'var' (variance
|
|---|
| 14 | weighted), 'tsys'
|
|---|
| 15 | Example:
|
|---|
| 16 | # return a time averaged scan from scana and scanb
|
|---|
| 17 | # without using a mask
|
|---|
| 18 | scanav = average_time(scana,scanb)
|
|---|
| 19 | # return the (time) averaged scan, i.e. the average of
|
|---|
| 20 | # all correlator cycles
|
|---|
| 21 | scanav = average_time(scan)
|
|---|
| 22 |
|
|---|
| 23 | """
|
|---|
| 24 | scanAv = True
|
|---|
| 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')
|
|---|
| 33 | varlist = vars()
|
|---|
| 34 | lst = tuple(args)
|
|---|
| 35 | del varlist["kwargs"]
|
|---|
| 36 | varlist["args"] = "%d scantables" % len(lst)
|
|---|
| 37 | # need special formatting her for history...
|
|---|
| 38 |
|
|---|
| 39 | from asap._asap import average as _av
|
|---|
| 40 | for s in lst:
|
|---|
| 41 | if not isinstance(s,scantable):
|
|---|
| 42 | print "Please give a list of scantables"
|
|---|
| 43 | return
|
|---|
| 44 | s = scantable(_av(lst, mask, scanAv, weight))
|
|---|
| 45 | s._add_history("average_time",varlist)
|
|---|
| 46 | return s
|
|---|
| 47 |
|
|---|
| 48 | def quotient(source, reference, preserve=True):
|
|---|
| 49 | """
|
|---|
| 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.
|
|---|
| 53 | The cursor of the output scan is set to 0
|
|---|
| 54 | Parameters:
|
|---|
| 55 | source: the 'on' scan
|
|---|
| 56 | reference: the 'off' scan
|
|---|
| 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
|
|---|
| 61 | """
|
|---|
| 62 | from asap._asap import quotient as _quot
|
|---|
| 63 | return scantable(_quot(source, reference, preserve))
|
|---|
| 64 |
|
|---|
| 65 | def simple_math(left, right, op='add', tsys=True):
|
|---|
| 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
|
|---|
| 70 | The cursor of the output scan is set to 0
|
|---|
| 71 | Parameters:
|
|---|
| 72 | left: the 'left' scan
|
|---|
| 73 | right: the 'right' scan
|
|---|
| 74 | op: the operation: 'add' (default), 'sub', 'mul', 'div'
|
|---|
| 75 | tsys: if True (default) then apply the operation to Tsys
|
|---|
| 76 | as well as the data
|
|---|
| 77 | """
|
|---|
| 78 | varlist = vars()
|
|---|
| 79 | if not isinstance(left,scantable) and not isinstance(right,scantable):
|
|---|
| 80 | print "Please provide two scantables as input"
|
|---|
| 81 | return
|
|---|
| 82 | from asap._asap import b_operate as _bop
|
|---|
| 83 | s = scantable(_bop(left, right, op, tsys))
|
|---|
| 84 | s._add_history("simple_math", varlist)
|
|---|
| 85 | return s
|
|---|
| 86 |
|
|---|
| 87 | def scale(scan, factor, insitu=None, allaxes=None, tsys=True):
|
|---|
| 88 | """
|
|---|
| 89 | Return a scan where all spectra are scaled by the give 'factor'
|
|---|
| 90 | Parameters:
|
|---|
| 91 | scan: a scantable
|
|---|
| 92 | factor: the scaling factor
|
|---|
| 93 | insitu: if False a new scantable is returned.
|
|---|
| 94 | Otherwise, the scaling is done in-situ
|
|---|
| 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.
|
|---|
| 98 | The default is taken from .asaprc (True if none)
|
|---|
| 99 | tsys: if True (default) then apply the operation to Tsys
|
|---|
| 100 | as well as the data
|
|---|
| 101 | """
|
|---|
| 102 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
|---|
| 103 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 104 | varlist = vars()
|
|---|
| 105 | if not insitu:
|
|---|
| 106 | from asap._asap import scale as _scale
|
|---|
| 107 | s = scantable(_scale(scan, factor, allaxes, tsys))
|
|---|
| 108 | s._add_history("scale",varlist)
|
|---|
| 109 | return s
|
|---|
| 110 | else:
|
|---|
| 111 | from asap._asap import scale_insitu as _scale
|
|---|
| 112 | _scale(scan, factor, allaxes, tsys)
|
|---|
| 113 | scan._add_history("scale",varlist)
|
|---|
| 114 | return
|
|---|
| 115 |
|
|---|
| 116 | def add(scan, offset, insitu=None, allaxes=None):
|
|---|
| 117 | """
|
|---|
| 118 | Return a scan where all spectra have the offset added
|
|---|
| 119 | Parameters:
|
|---|
| 120 | scan: a scantable
|
|---|
| 121 | offset: the offset
|
|---|
| 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
|
|---|
| 126 | apply only to the selected (beam/pol/if)spectra only
|
|---|
| 127 | The default is taken from .asaprc (True if none)
|
|---|
| 128 | """
|
|---|
| 129 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
|---|
| 130 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 131 | if not insitu:
|
|---|
| 132 | from asap._asap import add as _add
|
|---|
| 133 | return scantable(_add(scan, offset, allaxes))
|
|---|
| 134 | else:
|
|---|
| 135 | from asap._asap import add_insitu as _add
|
|---|
| 136 | _add(scan, offset, allaxes)
|
|---|
| 137 | return
|
|---|
| 138 |
|
|---|
| 139 | def convert_flux(scan, jyperk=None, eta=None, d=None, insitu=None,
|
|---|
| 140 | allaxes=None):
|
|---|
| 141 | """
|
|---|
| 142 | Return a scan where all spectra are converted to either Jansky or Kelvin
|
|---|
| 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.
|
|---|
| 148 | Parameters:
|
|---|
| 149 | scan: a scantable
|
|---|
| 150 | jyperk: the Jy / K conversion factor
|
|---|
| 151 | eta: the aperture efficiency
|
|---|
| 152 | d: the geomtric diameter (metres)
|
|---|
| 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
|
|---|
| 157 | apply only to the selected (beam/pol/if)spectra only
|
|---|
| 158 | The default is taken from .asaprc (True if none)
|
|---|
| 159 | """
|
|---|
| 160 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
|---|
| 161 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 162 | varlist = vars()
|
|---|
| 163 | if jyperk is None: jyperk = -1.0
|
|---|
| 164 | if d is None: d = -1.0
|
|---|
| 165 | if eta is None: eta = -1.0
|
|---|
| 166 | if not insitu:
|
|---|
| 167 | from asap._asap import convertflux as _convert
|
|---|
| 168 | s = scantable(_convert(scan, d, eta, jyperk, allaxes))
|
|---|
| 169 | s._add_history("convert_flux", varlist)
|
|---|
| 170 | return s
|
|---|
| 171 | else:
|
|---|
| 172 | from asap._asap import convertflux_insitu as _convert
|
|---|
| 173 | _convert(scan, d, eta, jyperk, allaxes)
|
|---|
| 174 | scan._add_history("convert_flux", varlist)
|
|---|
| 175 | return
|
|---|
| 176 |
|
|---|
| 177 | def gain_el(scan, poly=None, filename="", method="linear",
|
|---|
| 178 | insitu=None, allaxes=None):
|
|---|
| 179 | """
|
|---|
| 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
|
|---|
| 186 | occur if the instrument is not known). The data and Tsys are *divided*
|
|---|
| 187 | by the scaling factors.
|
|---|
| 188 | Parameters:
|
|---|
| 189 | scan: a scantable
|
|---|
| 190 | poly: Polynomial coefficients (default None) to compute a
|
|---|
| 191 | gain-elevation correction as a function of
|
|---|
| 192 | elevation (in degrees).
|
|---|
| 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
|
|---|
| 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
|
|---|
| 200 | would be (actual factors are arbitrary) :
|
|---|
| 201 |
|
|---|
| 202 | TIME ELEVATION FACTOR
|
|---|
| 203 | R R R
|
|---|
| 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
|
|---|
| 210 | method: Interpolation method when correcting from a table. Values
|
|---|
| 211 | are "nearest", "linear" (default), "cubic" and "spline"
|
|---|
| 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
|
|---|
| 217 | The default is taken from .asaprc (True if none)
|
|---|
| 218 | """
|
|---|
| 219 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
|---|
| 220 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 221 | varlist = vars()
|
|---|
| 222 | if poly is None:
|
|---|
| 223 | poly = ()
|
|---|
| 224 | from os.path import expandvars
|
|---|
| 225 | filename = expandvars(filename)
|
|---|
| 226 | if not insitu:
|
|---|
| 227 | from asap._asap import gainel as _gainEl
|
|---|
| 228 | s = scantable(_gainEl(scan, poly, filename, method, allaxes))
|
|---|
| 229 | s._add_history("gain_el", varlist)
|
|---|
| 230 | return s
|
|---|
| 231 | else:
|
|---|
| 232 | from asap._asap import gainel_insitu as _gainEl
|
|---|
| 233 | _gainEl(scan, poly, filename, method, allaxes)
|
|---|
| 234 | scan._add_history("gain_el", varlist)
|
|---|
| 235 | return
|
|---|
| 236 |
|
|---|
| 237 | def freq_align(scan, reftime=None, method='cubic', perif=False, insitu=None):
|
|---|
| 238 | """
|
|---|
| 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.
|
|---|
| 242 | scan: a scantable
|
|---|
| 243 | reftime: reference time to align at. By default, the time of
|
|---|
| 244 | the first row of data is used.
|
|---|
| 245 | method: Interpolation method for regridding the spectra. Choose
|
|---|
| 246 | from "nearest", "linear", "cubic" (default) and "spline"
|
|---|
| 247 | perif: Generate aligners per freqID (no doppler tracking) or
|
|---|
| 248 | per IF (scan-based doppler tracking)
|
|---|
| 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 | """
|
|---|
| 253 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 254 | varlist = vars()
|
|---|
| 255 | if reftime is None: reftime = ''
|
|---|
| 256 | perfreqid = not perif
|
|---|
| 257 | if not insitu:
|
|---|
| 258 | from asap._asap import freq_align as _align
|
|---|
| 259 | s = scantable(_align(scan, reftime, method, perfreqid))
|
|---|
| 260 | s._add_history("freq_align", varlist)
|
|---|
| 261 | return s
|
|---|
| 262 | else:
|
|---|
| 263 | from asap._asap import freq_align_insitu as _align
|
|---|
| 264 | _align(scan, reftime, method, perfreqid)
|
|---|
| 265 | scan._add_history("freq_align", varlist)
|
|---|
| 266 | return
|
|---|
| 267 |
|
|---|
| 268 | def opacity(scan, tau, insitu=None, allaxes=None):
|
|---|
| 269 | """
|
|---|
| 270 | Return a scan after applying an opacity correction. The data
|
|---|
| 271 | and Tsys are multiplied by the correction factor.
|
|---|
| 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
|
|---|
| 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
|
|---|
| 280 | apply only to the selected (beam/pol/if)spectra only
|
|---|
| 281 | The default is taken from .asaprc (True if none)
|
|---|
| 282 | """
|
|---|
| 283 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
|---|
| 284 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 285 | varlist = vars()
|
|---|
| 286 | if not insitu:
|
|---|
| 287 | from asap._asap import opacity as _opacity
|
|---|
| 288 | s = scantable(_opacity(scan, tau, allaxes))
|
|---|
| 289 | s._add_history("opacity", varlist)
|
|---|
| 290 | return s
|
|---|
| 291 | else:
|
|---|
| 292 | from asap._asap import opacity_insitu as _opacity
|
|---|
| 293 | _opacity(scan, tau, allaxes)
|
|---|
| 294 | scan._add_history("opacity", varlist)
|
|---|
| 295 | return
|
|---|
| 296 |
|
|---|
| 297 | def bin(scan, width=5, insitu=None):
|
|---|
| 298 | """
|
|---|
| 299 | Return a scan where all spectra have been binned up
|
|---|
| 300 | width: The bin width (default=5) in pixels
|
|---|
| 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)
|
|---|
| 304 | """
|
|---|
| 305 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 306 | varlist = vars()
|
|---|
| 307 | if not insitu:
|
|---|
| 308 | from asap._asap import bin as _bin
|
|---|
| 309 | s = scantable(_bin(scan, width))
|
|---|
| 310 | s._add_history("bin",varlist)
|
|---|
| 311 | return s
|
|---|
| 312 | else:
|
|---|
| 313 | from asap._asap import bin_insitu as _bin
|
|---|
| 314 | _bin(scan, width)
|
|---|
| 315 | scan._add_history("bin",varlist)
|
|---|
| 316 | return
|
|---|
| 317 |
|
|---|
| 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']
|
|---|
| 329 | varlist = vars()
|
|---|
| 330 | if not insitu:
|
|---|
| 331 | from asap._asap import resample as _resample
|
|---|
| 332 | s = scantable(_resample(scan, method, width))
|
|---|
| 333 | s._add_history("resample",varlist)
|
|---|
| 334 | return s
|
|---|
| 335 | else:
|
|---|
| 336 | from asap._asap import resample_insitu as _resample
|
|---|
| 337 | _resample(scan, method, width)
|
|---|
| 338 | scan._add_history("resample",varlist)
|
|---|
| 339 | return
|
|---|
| 340 |
|
|---|
| 341 | def average_pol(scan, mask=None, weight='none', insitu=None):
|
|---|
| 342 | """
|
|---|
| 343 | Average the Polarisations together.
|
|---|
| 344 | The polarisation cursor of the output scan is set to 0
|
|---|
| 345 | Parameters:
|
|---|
| 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.
|
|---|
| 350 | weight: Weighting scheme. 'none' (default), or 'var' (variance
|
|---|
| 351 | weighted)
|
|---|
| 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)
|
|---|
| 355 | Example:
|
|---|
| 356 | polav = average_pols(myscan)
|
|---|
| 357 | """
|
|---|
| 358 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 359 | varlist = vars()
|
|---|
| 360 |
|
|---|
| 361 | if mask is None:
|
|---|
| 362 | mask = ()
|
|---|
| 363 | if not insitu:
|
|---|
| 364 | from asap._asap import averagepol as _avpol
|
|---|
| 365 | s = scantable(_avpol(scan, mask, weight))
|
|---|
| 366 | s._add_history("average_pol",varlist)
|
|---|
| 367 | return s
|
|---|
| 368 | else:
|
|---|
| 369 | from asap._asap import averagepol_insitu as _avpol
|
|---|
| 370 | _avpol(scan, mask, weight)
|
|---|
| 371 | scan._add_history("average_pol",varlist)
|
|---|
| 372 | return
|
|---|
| 373 |
|
|---|
| 374 | def smooth(scan, kernel="hanning", width=5.0, insitu=None, allaxes=None):
|
|---|
| 375 | """
|
|---|
| 376 | Smooth the spectrum by the specified kernel (conserving flux).
|
|---|
| 377 | Parameters:
|
|---|
| 378 | scan: The input scan
|
|---|
| 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.
|
|---|
| 386 | insitu: if False a new scantable is returned.
|
|---|
| 387 | Otherwise, the scaling is done in-situ
|
|---|
| 388 | The default is taken from .asaprc (False)
|
|---|
| 389 | allaxes: If True (default) apply to all spectra. Otherwise
|
|---|
| 390 | apply only to the selected (beam/pol/if)spectra only
|
|---|
| 391 | The default is taken from .asaprc (True if none)
|
|---|
| 392 | Example:
|
|---|
| 393 | none
|
|---|
| 394 | """
|
|---|
| 395 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
|---|
| 396 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 397 | varlist = vars()
|
|---|
| 398 | if not insitu:
|
|---|
| 399 | from asap._asap import smooth as _smooth
|
|---|
| 400 | s = scantable(_smooth(scan,kernel,width,allaxes))
|
|---|
| 401 | s._add_history("smooth", varlist)
|
|---|
| 402 | return s
|
|---|
| 403 | else:
|
|---|
| 404 | from asap._asap import smooth_insitu as _smooth
|
|---|
| 405 | _smooth(scan,kernel,width,allaxes)
|
|---|
| 406 | scan._add_history("smooth", varlist)
|
|---|
| 407 | return
|
|---|
| 408 |
|
|---|
| 409 | def poly_baseline(scan, mask=None, order=0, insitu=None):
|
|---|
| 410 | """
|
|---|
| 411 | Return a scan which has been baselined (all rows) by a polynomial.
|
|---|
| 412 | Parameters:
|
|---|
| 413 | scan: a scantable
|
|---|
| 414 | mask: an optional mask
|
|---|
| 415 | order: the order of the polynomial (default is 0)
|
|---|
| 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)
|
|---|
| 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 | """
|
|---|
| 424 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 425 | varlist = vars()
|
|---|
| 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)
|
|---|
| 434 | sf = f.auto_fit(insitu)
|
|---|
| 435 | sf._add_history("poly_baseline", varlist)
|
|---|
| 436 | return sf
|
|---|
| 437 |
|
|---|
| 438 | def rotate_xyphase(scan, angle, allaxes=None):
|
|---|
| 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']
|
|---|
| 452 | varlist = vars()
|
|---|
| 453 | from asap._asap import rotate_xyphase as _rotate_xyphase
|
|---|
| 454 | _rotate_xyphase(scan, angle, allaxes)
|
|---|
| 455 | s._add_history("rotate_xyphase", varlist)
|
|---|
| 456 | return
|
|---|
