source: trunk/python/asapmath.py@ 289

Last change on this file since 289 was 273, checked in by kil064, 20 years ago

add arg. 'reftime' to function 'align'

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File size: 13.8 KB
Line 
1from scantable import scantable
2from asap import rcParams
3
4def average_time(*args, **kwargs):
5 """
6 Return the (time) average of a scan or list of scans. [in channels only]
7 Parameters:
8 one scan or comma separated scans
9 mask: an optional mask (only used for 'var' and 'tsys' weighting)
10 scanav: False (default) averages all scans together,
11 True averages each scan separately
12 weight: Weighting scheme. 'none' (default), 'var' (variance
13 weighted), 'tsys'
14 Example:
15 # return a time averaged scan from scana and scanb
16 # without using a mask
17 scanav = average_time(scana,scanb)
18 # return the (time) averaged scan, i.e. the average of
19 # all correlator cycles
20 scanav = average_time(scan)
21
22 """
23 scanAv = False
24 if kwargs.has_key('scanav'):
25 scanAv = kwargs.get('scanav')
26
27 weight = 'none'
28 if kwargs.has_key('weight'):
29 weight = kwargs.get('weight')
30
31 mask = ()
32 if kwargs.has_key('mask'):
33 mask = kwargs.get('mask')
34
35 lst = tuple(args)
36 from asap._asap import average as _av
37 for s in lst:
38 if not isinstance(s,scantable):
39 print "Please give a list of scantables"
40 return
41 return scantable(_av(lst, mask, scanAv, weight))
42
43def quotient(source, reference, preserve=True):
44 """
45 Return the quotient of a 'source' (signal) scan and a 'reference' scan.
46 The reference can have just one row, even if the signal has many. Otherwise
47 they must have the same number of rows.
48 Parameters:
49 source: the 'on' scan
50 reference: the 'off' scan
51 preserve: you can preserve (default) the continuum or
52 remove it. The equations used are
53 preserve - Output = Tref * (sig/ref) - Tref
54 remove - Output = Tref * (sig/ref) - Tsig
55 """
56 from asap._asap import quotient as _quot
57 return scantable(_quot(source, reference, preserve))
58
59def simple_math(left, right, op='add'):
60 """
61 Apply simple mathematical binary operations to two
62 scan tables, returning the result in a new scan table.
63 The operation is applied to both the correlations and the TSys data
64 Parameters:
65 left: the 'left' scan
66 right: the 'right' scan
67 op: the operation: 'add' (default), 'sub', 'mul', 'div'
68 """
69 if not isinstance(left,scantable) and not isinstance(right,scantable):
70 print "Please provide two scantables as input"
71 return
72 from asap._asap import b_operate as _bop
73 return scantable(_bop(left, right, op))
74
75def scale(scan, factor, insitu=None, allaxes=None):
76 """
77 Return a scan where all spectra are scaled by the give 'factor'
78 Parameters:
79 scan: a scantable
80 factor: the scaling factor
81 insitu: if False a new scantable is returned.
82 Otherwise, the scaling is done in-situ
83 The default is taken from .asaprc (False)
84 allaxes: if True apply to all spectra. Otherwise
85 apply only to the selected (beam/pol/if)spectra only.
86 The default is taken from .asaprc (True)
87 """
88 if allaxes is None: allaxes = rcParams['scantable.allaxes']
89 if insitu is None: insitu = rcParams['insitu']
90 if not insitu:
91 from asap._asap import scale as _scale
92 return scantable(_scale(scan, factor, allaxes))
93 else:
94 from asap._asap import scale_insitu as _scale
95 _scale(scan, factor, allaxes)
96 return
97
98
99def add(scan, offset, insitu=None, allaxes=None):
100 """
101 Return a scan where all spectra have the offset added
102 Parameters:
103 scan: a scantable
104 offset: the offset
105 insitu: if False a new scantable is returned.
106 Otherwise, the scaling is done in-situ
107 The default is taken from .asaprc (False)
108 allaxes: if True apply to all spectra. Otherwise
109 apply only to the selected (beam/pol/if)spectra only
110 The default is taken from .asaprc (True)
111 """
112 if allaxes is None: allaxes = rcParams['scantable.allaxes']
113 if insitu is None: insitu = rcParams['insitu']
114 if not insitu:
115 from asap._asap import add as _add
116 return scantable(_add(scan, offset, allaxes))
117 else:
118 from asap._asap import add_insitu as _add
119 _add(scan, offset, allaxes)
120 return
121
122def convert_flux(scan, area, eta=1.0, insitu=None, allaxes=None):
123 """
124 Return a scan where all spectra are converted to either Jansky or Kelvin
125 depending upon the flux units of the scan table.
126 Parameters:
127 scan: a scantable
128 area: the illuminated area of the telescope (m**2)
129 eta: The efficiency of the telescope (default 1.0)
130 insitu: if False a new scantable is returned.
131 Otherwise, the scaling is done in-situ
132 The default is taken from .asaprc (False)
133 allaxes: if True apply to all spectra. Otherwise
134 apply only to the selected (beam/pol/if)spectra only
135 The default is taken from .asaprc (True)
136 """
137 if allaxes is None: allaxes = rcParams['scantable.allaxes']
138 if insitu is None: insitu = rcParams['insitu']
139 if not insitu:
140 from asap._asap import convertflux as _convert
141 return scantable(_convert(scan, area, eta, allaxes))
142 else:
143 from asap._asap import convertflux_insitu as _convert
144 _convert(scan, area, eta, allaxes)
145 return
146
147def gain_el(scan, poly=None, filename="", method="linear", insitu=None, allaxes=None):
148 """
149 Return a scan after applying a gain-elevation correction. The correction
150 can be made via either a polynomial or a table-based interpolation
151 (and extrapolation if necessary).
152 You specify polynomial coefficients, an ascii table or neither.
153 If you specify neither, then a polynomial correction will be made
154 with built in coefficients known for certain telescopes (an error will
155 occur if the instrument is not known).
156 Parameters:
157 scan: a scantable
158 poly: Polynomial coefficients (default None) to compute a
159 gain-elevation correction as a function of
160 elevation (in degrees).
161 filename: The name of an ascii file holding correction factors.
162 The first row of the ascii file must give the column
163 names and these MUST include columns
164 "ELEVATION" (degrees) and "FACTOR" (multiply data by this)
165 somewhere.
166 The second row must give the data type of the column. Use
167 'R' for Real and 'I' for Integer. An example file
168 would be:
169
170 TIME ELEVATION FACTOR
171 R R R
172 0.1 0 1.5
173 0.2 20 1.4
174 0.3 40 1.3
175 0.4 60 1.2
176 0.5 80 1.1
177 0.6 90 1.0
178 method: Interpolation method when correcting from a table. Values
179 are "nearest", "linear" (default), "cubic" and "spline"
180 insitu: if False a new scantable is returned.
181 Otherwise, the scaling is done in-situ
182 The default is taken from .asaprc (False)
183 allaxes: if True apply to all spectra. Otherwise
184 apply only to the selected (beam/pol/if) spectra only
185 The default is taken from .asaprc (True)
186 """
187 if allaxes is None: allaxes = rcParams['scantable.allaxes']
188 if poly is None:
189 poly = ()
190 if insitu is None: insitu = rcParams['insitu']
191 if not insitu:
192 from asap._asap import gainel as _gainEl
193 return scantable(_gainEl(scan, poly, filename, method, allaxes))
194 else:
195 from asap._asap import gainel_insitu as _gainEl
196 _gainEl(scan, poly, filename, method, allaxes)
197 return
198
199def align(scan, reftime=None, insitu=None):
200 """
201 Return a scan where all rows have been aligned in velocity. The
202 velocity reference frame (e.gh. LSRK), unit and doppler (e.g. OPTICAL)
203 are those set by functions set_unit and set_freqframe.
204 scan: a scantable
205 reftime: reference time to align at. By default, the time of
206 the first row of data is used.
207 insitu: if False a new scantable is returned.
208 Otherwise, the scaling is done in-situ
209 The default is taken from .asaprc (False)
210 """
211 if reftime is None: reftime = ''
212 if insitu is None: insitu = rcParams['insitu']
213 if not insitu:
214 from asap._asap import align as _align
215 return scantable(_align(scan, reftime))
216 else:
217 from asap._asap import align_insitu as _align
218 _align(scan, reftime)
219 return
220
221def opacity(scan, tau, insitu=None, allaxes=None):
222 """
223 Return a scan after applying an opacity correction.
224 Parameters:
225 scan: a scantable
226 tau: Opacity from which the correction factor is exp(tau*ZD)
227 where ZD is the zenith-distance
228 insitu: if False a new scantable is returned.
229 Otherwise, the scaling is done in-situ
230 The default is taken from .asaprc (False)
231 allaxes: if True apply to all spectra. Otherwise
232 apply only to the selected (beam/pol/if)spectra only
233 The default is taken from .asaprc (True)
234 """
235 if allaxes is None: allaxes = rcParams['scantable.allaxes']
236 if insitu is None: insitu = rcParams['insitu']
237 if not insitu:
238 from asap._asap import opacity as _opacity
239 return scantable(_opacity(scan, tau, allaxes))
240 else:
241 from asap._asap import opacity_insitu as _opacity
242 _opacity(scan, tau, allaxes)
243 return
244
245def bin(scan, width=5, insitu=None):
246 """
247 Return a scan where all spectra have been binned up
248 width: The bin width (default=5) in pixels
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 if not insitu:
255 from asap._asap import bin as _bin
256 return scantable(_bin(scan, width))
257 else:
258 from asap._asap import bin_insitu as _bin
259 _bin(scan, width)
260 return
261
262def average_pol(scan, mask=None, insitu=None):
263 """
264 Average the Polarisations together.
265 Parameters:
266 scan: The scantable
267 mask: An optional mask defining the region, where the
268 averaging will be applied. The output will have all
269 specified points masked.
270 insitu: if False a new scantable is returned.
271 Otherwise, the scaling is done in-situ
272 The default is taken from .asaprc (False)
273 Example:
274 polav = average_pols(myscan)
275 """
276 if mask is None:
277 mask = ()
278 if insitu is None: insitu = rcParams['insitu']
279 if not insitu:
280 from asap._asap import averagepol as _avpol
281 return scantable(_avpol(scan, mask))
282 else:
283 from asap._asap import averagepol_insitu as _avpol
284 _avpol(scan, mask)
285 return
286
287def smooth(scan, kernel="hanning", width=5.0, insitu=None, allaxes=None):
288 """
289 Smooth the spectrum by the specified kernel (conserving flux).
290 Parameters:
291 scan: The input scan
292 kernel: The type of smoothing kernel. Select from
293 'hanning' (default), 'gaussian' and 'boxcar'.
294 The first three characters are sufficient.
295 width: The width of the kernel in pixels. For hanning this is
296 ignored otherwise it defauls to 5 pixels.
297 For 'gaussian' it is the Full Width Half
298 Maximum. For 'boxcar' it is the full width.
299 insitu: if False a new scantable is returned.
300 Otherwise, the scaling is done in-situ
301 The default is taken from .asaprc (False)
302 allaxes: If True (default) apply to all spectra. Otherwise
303 apply only to the selected (beam/pol/if)spectra only
304 The default is taken from .asaprc (True)
305 Example:
306 none
307 """
308 if allaxes is None: allaxes = rcParams['scantable.allaxes']
309 if insitu is None: insitu = rcParams['insitu']
310 if not insitu:
311 from asap._asap import smooth as _smooth
312 return scantable(_smooth(scan,kernel,width,allaxes))
313 else:
314 from asap._asap import smooth_insitu as _smooth
315 _smooth(scan,kernel,width,allaxes)
316 return
317
318def poly_baseline(scan, mask=None, order=0, insitu=None):
319 """
320 Return a scan which has been baselined (all rows) by a polynomial.
321 Parameters:
322 scan: a scantable
323 mask: an optional mask
324 order: the order of the polynomial (default is 0)
325 insitu: if False a new scantable is returned.
326 Otherwise, the scaling is done in-situ
327 The default is taken from .asaprc (False)
328 Example:
329 # return a scan baselined by a third order polynomial,
330 # not using a mask
331 bscan = poly_baseline(scan, order=3)
332 """
333 from asap.asapfitter import fitter
334 if mask is None:
335 from numarray import ones
336 mask = tuple(ones(scan.nchan()))
337 f = fitter()
338 f._verbose(True)
339 f.set_scan(scan, mask)
340 f.set_function(poly=order)
341 sf = f.auto_fit(insitu)
342 return sf
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