Coverage for /wheeldirectory/casa-6.7.0-11-py3.10.el8/lib/py/lib/python3.10/site-packages/casatools/synthesisimager.py: 56%

1##################### generated by xml-casa (v2) from synthesisimager.xml ########### 

2##################### 7650622d99a3bacd5e07f2addadffb21 ############################## 

3from __future__ import absolute_import 

4from .__casac__.synthesisimager import synthesisimager as _synthesisimager 

5 

6from .errors import create_error_string 

7from .typecheck import CasaValidator as _validator 

8_pc = _validator( ) 

9from .coercetype import coerce as _coerce 

10from .synthesisimstore import synthesisimstore as _wrap_synthesisimstore 

11 

12class synthesisimager: 

13 _info_group_ = """synthesisimager""" 

14 _info_desc_ = """tool for synthesis imaging""" 

15 ### self 

16 def __init__(self, *args, **kwargs): 

17 """This is used to construct {tt synthesisimager} tool. 

18 """ 

19 self._swigobj = kwargs.get('swig_object',None) 

20 if self._swigobj is None: 

21 self._swigobj = _synthesisimager() 

22 

23 def selectdata(self, selpars={ }): 

24 """ 

25 """ 

26 return self._swigobj.selectdata(selpars) 

27 

28 def tuneselectdata(self): 

29 """ 

30 """ 

31 return self._swigobj.tuneselectdata() 

32 

33 def defineimage(self, impars={ }, gridpars={ }): 

34 """ 

35 """ 

36 return self._swigobj.defineimage(impars, gridpars) 

37 

38 def normalizerinfo(self, normpars={ }): 

39 """ 

40 """ 

41 return self._swigobj.normalizerinfo(normpars) 

42 

43 def setdata(self, msname='', spw='', freqbeg='', freqend='', freqframe='LSRK', field='', antenna='', timestr='', scan='', obs='', state='', uvdist='', taql='', usescratch=False, readonly=False, incrmodel=False): 

44 """Select data from one MS. Call this function in succession if there are 

45 multiple MSs. 

46 """ 

47 return self._swigobj.setdata(msname, spw, freqbeg, freqend, freqframe, field, antenna, timestr, scan, obs, state, uvdist, taql, usescratch, readonly, incrmodel) 

48 

49 def setimage(self, imagename='', nx=int(128), ny=int(-1), cellx=[ ], celly=[ ], stokes='I', phasecenter=[ ], nchan=int(-1), freqstart=[ ], freqstep=[ ], restfreq=[ ], facets=int(1), ftmachine='gridft', ntaylorterms=int(1), reffreq=[ ], projection='SIN', distance=[ ], freqframe='LSRK', tracksource=False, trackdir=[ ], overwrite=True, padding=float(1.0), useautocorr=False, usedoubleprec=True, wprojplanes=int(1), convfunc='SF', startmodel='', aterm=True, psterm=True, mterm=False, wbawp=True, cfcache='', usepointing=False, pointingoffsetsigdev=[ ], dopbcorr=True, conjbeams=False, computepastep=float(360.0), rotatepastep=float(5.0)): 

50 """Define the image coordinate systems and shapes. 

51 """ 

52 return self._swigobj.setimage(imagename, nx, ny, cellx, celly, stokes, phasecenter, nchan, freqstart, freqstep, restfreq, facets, ftmachine, ntaylorterms, reffreq, projection, distance, freqframe, tracksource, trackdir, overwrite, padding, useautocorr, usedoubleprec, wprojplanes, convfunc, startmodel, aterm, psterm, mterm, wbawp, cfcache, usepointing, pointingoffsetsigdev, dopbcorr, conjbeams, computepastep, rotatepastep) 

53 

54 def setweighting(self, type='natural', rmode='norm', noise=[ ], robust=float(0.0), fieldofview=[ ], npixels=int(0), multifield=False, usecubebriggs=False, uvtaper=[ ]): 

55 """ 

56 """ 

57 return self._swigobj.setweighting(type, rmode, noise, robust, fieldofview, npixels, multifield, usecubebriggs, uvtaper) 

58 

59 def makepsf(self): 

60 """ 

61 """ 

62 return self._swigobj.makepsf() 

63 

64 def apparentsens(self): 

65 """ 

66 """ 

67 return self._swigobj.apparentsens() 

68 

69 def predictmodel(self): 

70 """ 

71 """ 

72 return self._swigobj.predictmodel() 

73 

74 def drygridding(self, cflist=[ '' ]): 

75 """ 

76 """ 

77 return self._swigobj.drygridding(cflist) 

78 

79 def fillcfcache(self, cflist=[ '' ], ftmname='', cfcpath='', pstermon=False, atermon=True, conjbeams=False): 

80 """ 

81 """ 

82 return self._swigobj.fillcfcache(cflist, ftmname, cfcpath, pstermon, atermon, conjbeams) 

83 

84 def reloadcfcache(self): 

85 """ 

86 """ 

87 return self._swigobj.reloadcfcache() 

88 

89 def executemajorcycle(self, controls={ }): 

90 """ 

91 """ 

92 return self._swigobj.executemajorcycle(controls) 

93 

94 def makepb(self): 

95 """ 

96 """ 

97 return self._swigobj.makepb() 

98 

99 def makesdimage(self): 

100 """ 

101 """ 

102 return self._swigobj.makesdimage() 

103 

104 def makesdpsf(self): 

105 """ 

106 """ 

107 return self._swigobj.makesdpsf() 

108 

109 def makeimage(self, type='observed', image='', compleximage='', model=int(0)): 

110 """This tool function actually does gridding (and Fourier inversion if 

111 needed) of visibility data to make an image. It allows calculation of 

112 various types of image: 

113 begin{description} 

114 item[observed] Make the dirty image from the DATA column ({em default}) 

115 item[model] Make the dirty image from the MODEL_DATA column 

116 item[corrected] Make the dirty image from the CORRECTED_DATA column 

117 item[residual] Make the dirty image from the difference of the 

118 CORRECTED_DATA and MODEL_DATA columns 

119 item[psf] Make the point spread function 

120 item[singledish] Make a single dish image 

121 item[coverage] Make a single dish or mosaic coverage image 

122 item[holography] Make a complex holography image (experimental) 

123  

124 end{description} 

125 """ 

126 return self._swigobj.makeimage(type, image, compleximage, model) 

127 

128 def unlockimages(self, imagefieldid=int(0)): 

129 """Try to unlock images if the need arise 

130 """ 

131 return self._swigobj.unlockimages(imagefieldid) 

132 

133 def estimatememory(self): 

134 """This function returns an estimate of the memory (RAM) to be used by sythesisimager tool. Need to be run after functions setdata and defineimage are done 

135 """ 

136 return self._swigobj.estimatememory() 

137 

138 def getimstore(self, id=int(0)): 

139 """ 

140 """ 

141 return _wrap_synthesisimstore(swig_object=self._swigobj.getimstore(id)) 

142 

143 def getImageName(self, facetId=int(0), imageId='IMAGE', taylorTerm=int(0)): 

144 """Get the image name for the given type of image (eg "PB"), the facet index, and the taylor term. 

145  

146 """ 

147 return self._swigobj.getImageName(facetId, imageId, taylorTerm) 

148 

149 def getcsys(self): 

150 """ 

151 """ 

152 return self._swigobj.getcsys() 

153 

154 def updatenchan(self): 

155 """ 

156 """ 

157 return self._swigobj.updatenchan() 

158 

159 def getweightdensity(self): 

160 """ 

161 """ 

162 return self._swigobj.getweightdensity() 

163 

164 def setweightdensity(self, type=''): 

165 """Load the gridded weight density into image weighting; useful in parallel when weight density is combined into one image and loaded in each process. if no imagename is passed the imagename.weight is loaded 

166  

167 """ 

168 return self._swigobj.setweightdensity(type) 

169 

170 def initmpi(self): 

171 """ 

172 """ 

173 return self._swigobj.initmpi() 

174 

175 def releasempi(self): 

176 """ 

177 """ 

178 return self._swigobj.releasempi() 

179 

180 def done(self): 

181 """ 

182 """ 

183 return self._swigobj.done() 

184