source: trunk/python/asapmath.py@ 299

Last change on this file since 299 was 296, checked in by kil064, 20 years ago

add arg. 'tsys' to simple_math and scale (optioanl application to Tsys)

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File size: 14.1 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', tsys=True):
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 tsys: if True (default) then apply the operation to Tsys
69 as well as the data
70 """
71 if not isinstance(left,scantable) and not isinstance(right,scantable):
72 print "Please provide two scantables as input"
73 return
74 from asap._asap import b_operate as _bop
75 return scantable(_bop(left, right, op, tsys))
76
77def scale(scan, factor, insitu=None, allaxes=None, tsys=True):
78 """
79 Return a scan where all spectra are scaled by the give 'factor'
80 Parameters:
81 scan: a scantable
82 factor: the scaling factor
83 insitu: if False a new scantable is returned.
84 Otherwise, the scaling is done in-situ
85 The default is taken from .asaprc (False)
86 allaxes: if True apply to all spectra. Otherwise
87 apply only to the selected (beam/pol/if)spectra only.
88 The default is taken from .asaprc (True)
89 tsys: if True (default) then apply the operation to Tsys
90 as well as the data
91 """
92 if allaxes is None: allaxes = rcParams['scantable.allaxes']
93 if insitu is None: insitu = rcParams['insitu']
94 if not insitu:
95 from asap._asap import scale as _scale
96 return scantable(_scale(scan, factor, allaxes, tsys))
97 else:
98 from asap._asap import scale_insitu as _scale
99 _scale(scan, factor, allaxes, tsys)
100 return
101
102
103def add(scan, offset, insitu=None, allaxes=None):
104 """
105 Return a scan where all spectra have the offset added
106 Parameters:
107 scan: a scantable
108 offset: the offset
109 insitu: if False a new scantable is returned.
110 Otherwise, the scaling is done in-situ
111 The default is taken from .asaprc (False)
112 allaxes: if True apply to all spectra. Otherwise
113 apply only to the selected (beam/pol/if)spectra only
114 The default is taken from .asaprc (True)
115 """
116 if allaxes is None: allaxes = rcParams['scantable.allaxes']
117 if insitu is None: insitu = rcParams['insitu']
118 if not insitu:
119 from asap._asap import add as _add
120 return scantable(_add(scan, offset, allaxes))
121 else:
122 from asap._asap import add_insitu as _add
123 _add(scan, offset, allaxes)
124 return
125
126def convert_flux(scan, area, eta=1.0, insitu=None, allaxes=None):
127 """
128 Return a scan where all spectra are converted to either Jansky or Kelvin
129 depending upon the flux units of the scan table.
130 Parameters:
131 scan: a scantable
132 area: the illuminated area of the telescope (m**2)
133 eta: The efficiency of the telescope (default 1.0)
134 insitu: if False a new scantable is returned.
135 Otherwise, the scaling is done in-situ
136 The default is taken from .asaprc (False)
137 allaxes: if True apply to all spectra. Otherwise
138 apply only to the selected (beam/pol/if)spectra only
139 The default is taken from .asaprc (True)
140 """
141 if allaxes is None: allaxes = rcParams['scantable.allaxes']
142 if insitu is None: insitu = rcParams['insitu']
143 if not insitu:
144 from asap._asap import convertflux as _convert
145 return scantable(_convert(scan, area, eta, allaxes))
146 else:
147 from asap._asap import convertflux_insitu as _convert
148 _convert(scan, area, eta, allaxes)
149 return
150
151def gain_el(scan, poly=None, filename="", method="linear", insitu=None, allaxes=None):
152 """
153 Return a scan after applying a gain-elevation correction. The correction
154 can be made via either a polynomial or a table-based interpolation
155 (and extrapolation if necessary).
156 You specify polynomial coefficients, an ascii table or neither.
157 If you specify neither, then a polynomial correction will be made
158 with built in coefficients known for certain telescopes (an error will
159 occur if the instrument is not known).
160 Parameters:
161 scan: a scantable
162 poly: Polynomial coefficients (default None) to compute a
163 gain-elevation correction as a function of
164 elevation (in degrees).
165 filename: The name of an ascii file holding correction factors.
166 The first row of the ascii file must give the column
167 names and these MUST include columns
168 "ELEVATION" (degrees) and "FACTOR" (multiply data by this)
169 somewhere.
170 The second row must give the data type of the column. Use
171 'R' for Real and 'I' for Integer. An example file
172 would be:
173
174 TIME ELEVATION FACTOR
175 R R R
176 0.1 0 1.5
177 0.2 20 1.4
178 0.3 40 1.3
179 0.4 60 1.2
180 0.5 80 1.1
181 0.6 90 1.0
182 method: Interpolation method when correcting from a table. Values
183 are "nearest", "linear" (default), "cubic" and "spline"
184 insitu: if False a new scantable is returned.
185 Otherwise, the scaling is done in-situ
186 The default is taken from .asaprc (False)
187 allaxes: if True apply to all spectra. Otherwise
188 apply only to the selected (beam/pol/if) spectra only
189 The default is taken from .asaprc (True)
190 """
191 if allaxes is None: allaxes = rcParams['scantable.allaxes']
192 if poly is None:
193 poly = ()
194 if insitu is None: insitu = rcParams['insitu']
195 if not insitu:
196 from asap._asap import gainel as _gainEl
197 return scantable(_gainEl(scan, poly, filename, method, allaxes))
198 else:
199 from asap._asap import gainel_insitu as _gainEl
200 _gainEl(scan, poly, filename, method, allaxes)
201 return
202
203def align(scan, reftime=None, insitu=None):
204 """
205 Return a scan where all rows have been aligned in velocity. The
206 velocity reference frame (e.gh. LSRK), unit and doppler (e.g. OPTICAL)
207 are those set by functions set_unit and set_freqframe.
208 scan: a scantable
209 reftime: reference time to align at. By default, the time of
210 the first row of data is used.
211 insitu: if False a new scantable is returned.
212 Otherwise, the scaling is done in-situ
213 The default is taken from .asaprc (False)
214 """
215 if reftime is None: reftime = ''
216 if insitu is None: insitu = rcParams['insitu']
217 if not insitu:
218 from asap._asap import align as _align
219 return scantable(_align(scan, reftime))
220 else:
221 from asap._asap import align_insitu as _align
222 _align(scan, reftime)
223 return
224
225def opacity(scan, tau, insitu=None, allaxes=None):
226 """
227 Return a scan after applying an opacity correction.
228 Parameters:
229 scan: a scantable
230 tau: Opacity from which the correction factor is exp(tau*ZD)
231 where ZD is the zenith-distance
232 insitu: if False a new scantable is returned.
233 Otherwise, the scaling is done in-situ
234 The default is taken from .asaprc (False)
235 allaxes: if True apply to all spectra. Otherwise
236 apply only to the selected (beam/pol/if)spectra only
237 The default is taken from .asaprc (True)
238 """
239 if allaxes is None: allaxes = rcParams['scantable.allaxes']
240 if insitu is None: insitu = rcParams['insitu']
241 if not insitu:
242 from asap._asap import opacity as _opacity
243 return scantable(_opacity(scan, tau, allaxes))
244 else:
245 from asap._asap import opacity_insitu as _opacity
246 _opacity(scan, tau, allaxes)
247 return
248
249def bin(scan, width=5, insitu=None):
250 """
251 Return a scan where all spectra have been binned up
252 width: The bin width (default=5) in pixels
253 insitu: if False a new scantable is returned.
254 Otherwise, the scaling is done in-situ
255 The default is taken from .asaprc (False)
256 """
257 if insitu is None: insitu = rcParams['insitu']
258 if not insitu:
259 from asap._asap import bin as _bin
260 return scantable(_bin(scan, width))
261 else:
262 from asap._asap import bin_insitu as _bin
263 _bin(scan, width)
264 return
265
266def average_pol(scan, mask=None, insitu=None):
267 """
268 Average the Polarisations together.
269 Parameters:
270 scan: The scantable
271 mask: An optional mask defining the region, where the
272 averaging will be applied. The output will have all
273 specified points masked.
274 insitu: if False a new scantable is returned.
275 Otherwise, the scaling is done in-situ
276 The default is taken from .asaprc (False)
277 Example:
278 polav = average_pols(myscan)
279 """
280 if mask is None:
281 mask = ()
282 if insitu is None: insitu = rcParams['insitu']
283 if not insitu:
284 from asap._asap import averagepol as _avpol
285 return scantable(_avpol(scan, mask))
286 else:
287 from asap._asap import averagepol_insitu as _avpol
288 _avpol(scan, mask)
289 return
290
291def smooth(scan, kernel="hanning", width=5.0, insitu=None, allaxes=None):
292 """
293 Smooth the spectrum by the specified kernel (conserving flux).
294 Parameters:
295 scan: The input scan
296 kernel: The type of smoothing kernel. Select from
297 'hanning' (default), 'gaussian' and 'boxcar'.
298 The first three characters are sufficient.
299 width: The width of the kernel in pixels. For hanning this is
300 ignored otherwise it defauls to 5 pixels.
301 For 'gaussian' it is the Full Width Half
302 Maximum. For 'boxcar' it is the full width.
303 insitu: if False a new scantable is returned.
304 Otherwise, the scaling is done in-situ
305 The default is taken from .asaprc (False)
306 allaxes: If True (default) apply to all spectra. Otherwise
307 apply only to the selected (beam/pol/if)spectra only
308 The default is taken from .asaprc (True)
309 Example:
310 none
311 """
312 if allaxes is None: allaxes = rcParams['scantable.allaxes']
313 if insitu is None: insitu = rcParams['insitu']
314 if not insitu:
315 from asap._asap import smooth as _smooth
316 return scantable(_smooth(scan,kernel,width,allaxes))
317 else:
318 from asap._asap import smooth_insitu as _smooth
319 _smooth(scan,kernel,width,allaxes)
320 return
321
322def poly_baseline(scan, mask=None, order=0, insitu=None):
323 """
324 Return a scan which has been baselined (all rows) by a polynomial.
325 Parameters:
326 scan: a scantable
327 mask: an optional mask
328 order: the order of the polynomial (default is 0)
329 insitu: if False a new scantable is returned.
330 Otherwise, the scaling is done in-situ
331 The default is taken from .asaprc (False)
332 Example:
333 # return a scan baselined by a third order polynomial,
334 # not using a mask
335 bscan = poly_baseline(scan, order=3)
336 """
337 from asap.asapfitter import fitter
338 if mask is None:
339 from numarray import ones
340 mask = tuple(ones(scan.nchan()))
341 f = fitter()
342 f._verbose(True)
343 f.set_scan(scan, mask)
344 f.set_function(poly=order)
345 sf = f.auto_fit(insitu)
346 return sf
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