1 | from asap._asap import sdtable
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2 | from asap import rcParams
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3 | from asap import print_log
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4 | from numarray import ones,zeros
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5 | import sys
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6 |
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7 | class scantable(sdtable):
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8 | """
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9 | The ASAP container for scans
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10 | """
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11 |
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12 | def __init__(self, filename, average=None, unit=None):
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13 | """
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14 | Create a scantable from a saved one or make a reference
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15 | Parameters:
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16 | filename: the name of an asap table on disk
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17 | or
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18 | the name of a rpfits/sdfits/ms file
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19 | (integrations within scans are auto averaged
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20 | and the whole file is read)
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21 | or
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22 | [advanced] a reference to an existing
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23 | scantable
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24 | average: average all integrations withinb a scan on read.
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25 | The default (True) is taken from .asaprc.
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26 | unit: brightness unit; must be consistent with K or Jy.
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27 | Over-rides the default selected by the reader
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28 | (input rpfits/sdfits/ms) or replaces the value
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29 | in existing scantables
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30 | """
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31 | if average is None or type(average) is not bool:
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32 | average = rcParams['scantable.autoaverage']
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33 |
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34 | varlist = vars()
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35 | self._p = None
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36 | from asap import asaplog
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37 | if isinstance(filename,sdtable):
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38 | sdtable.__init__(self, filename)
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39 | if unit is not None:
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40 | self.set_fluxunit(unit)
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41 | else:
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42 | import os.path
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43 | if not os.path.exists(filename):
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44 | s = "File '%s' not found." % (filename)
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45 | if rcParams['verbose']:
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46 | asaplog.push(s)
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47 | print asaplog.pop().strip()
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48 | return
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49 | raise IOError(s)
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50 | filename = os.path.expandvars(filename)
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51 | if os.path.isdir(filename):
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52 | # crude check if asap table
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53 | if os.path.exists(filename+'/table.info'):
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54 | sdtable.__init__(self, filename)
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55 | if unit is not None:
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56 | self.set_fluxunit(unit)
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57 | else:
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58 | msg = "The given file '%s'is not a valid asap table." % (filename)
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59 | if rcParams['verbose']:
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60 | print msg
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61 | return
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62 | else:
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63 | raise IOError(msg)
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64 | else:
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65 | from asap._asap import sdreader
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66 | ifSel = -1
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67 | beamSel = -1
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68 | r = sdreader()
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69 | r._open(filename,ifSel,beamSel)
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70 | asaplog.push('Importing data...')
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71 | print_log()
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72 | r._read([-1])
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73 | tbl = r._getdata()
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74 | if unit is not None:
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75 | tbl.set_fluxunit(unit)
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76 | if average:
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77 | from asap._asap import average as _av
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78 | asaplog.push('Auto averaging integrations...')
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79 | print_log()
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80 | tbl2 = _av((tbl,),(),True,'none')
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81 | sdtable.__init__(self,tbl2)
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82 | del tbl2
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83 | else:
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84 | sdtable.__init__(self,tbl)
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85 | del r,tbl
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86 | self._add_history("scantable", varlist)
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87 | print_log()
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88 |
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89 | def save(self, name=None, format=None, stokes=False, overwrite=False):
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90 | """
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91 | Store the scantable on disk. This can be an asap (aips++) Table, SDFITS,
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92 | Image FITS or MS2 format.
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93 | Parameters:
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94 | name: the name of the outputfile. For format="FITS" this
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95 | is the directory file name into which all the files
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96 | will be written (default is 'asap_FITS'). For format
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97 | "ASCII" this is the root file name (data in 'name'.txt
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98 | and header in 'name'_header.txt)
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99 | format: an optional file format. Default is ASAP.
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100 | Allowed are - 'ASAP' (save as ASAP [aips++] Table),
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101 | 'SDFITS' (save as SDFITS file)
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102 | 'FITS' (saves each row as a FITS Image)
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103 | 'ASCII' (saves as ascii text file)
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104 | 'MS2' (saves as an aips++
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105 | MeasurementSet V2)
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106 | stokes: Convert to Stokes parameters (only available
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107 | currently with FITS and ASCII formats.
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108 | Default is False.
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109 | overwrite: If the file should be overwritten if it exists.
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110 | The default False is to return with warning
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111 | without writing the output. USE WITH CARE.
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112 | Example:
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113 | scan.save('myscan.asap')
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114 | scan.save('myscan.sdfits','SDFITS')
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115 | """
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116 | from os import path
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117 | if format is None: format = rcParams['scantable.save']
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118 | suffix = '.'+format.lower()
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119 | if name is None or name =="":
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120 | name = 'scantable'+suffix
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121 | from asap import asaplog
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122 | msg = "No filename given. Using default name %s..." % name
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123 | asaplog.push(msg)
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124 | name = path.expandvars(name)
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125 | if path.isfile(name) or path.isdir(name):
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126 | if not overwrite:
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127 | msg = "File %s exists." % name
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128 | if rcParams['verbose']:
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129 | print msg
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130 | return
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131 | else:
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132 | raise IOError(msg)
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133 | format2 = format.upper()
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134 | if format2 == 'ASAP':
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135 | self._save(name)
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136 | else:
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137 | from asap._asap import sdwriter as _sw
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138 | w = _sw(format2)
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139 | w.write(self, name, stokes)
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140 |
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141 | print_log()
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142 | return
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143 |
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144 | def copy(self):
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145 | """
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146 | Return a copy of this scantable.
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147 | Parameters:
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148 | none
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149 | Example:
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150 | copiedscan = scan.copy()
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151 | """
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152 | sd = scantable(sdtable._copy(self))
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153 | return sd
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154 |
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155 | def get_scan(self, scanid=None):
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156 | """
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157 | Return a specific scan (by scanno) or collection of scans (by
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158 | source name) in a new scantable.
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159 | Parameters:
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160 | scanid: a (list of) scanno or a source name, unix-style
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161 | patterns are accepted for source name matching, e.g.
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162 | '*_R' gets all 'ref scans
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163 | Example:
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164 | # get all scans containing the source '323p459'
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165 | newscan = scan.get_scan('323p459')
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166 | # get all 'off' scans
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167 | refscans = scan.get_scan('*_R')
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168 | # get a susbset of scans by scanno (as listed in scan.summary())
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169 | newscan = scan.get_scan([0,2,7,10])
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170 | """
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171 | if scanid is None:
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172 | if rcParams['verbose']:
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173 | print "Please specify a scan no or name to retrieve from the scantable"
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174 | return
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175 | else:
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176 | raise RuntimeError("No scan given")
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177 |
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178 | try:
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179 | if type(scanid) is str:
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180 | s = sdtable._getsource(self,scanid)
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181 | return scantable(s)
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182 | elif type(scanid) is int:
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183 | s = sdtable._getscan(self,[scanid])
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184 | return scantable(s)
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185 | elif type(scanid) is list:
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186 | s = sdtable._getscan(self,scanid)
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187 | return scantable(s)
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188 | else:
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189 | msg = "Illegal scanid type, use 'int' or 'list' if ints."
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190 | if rcParams['verbose']:
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191 | print msg
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192 | else:
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193 | raise TypeError(msg)
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194 | except RuntimeError:
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195 | if rcParams['verbose']: print "Couldn't find any match."
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196 | else: raise
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197 |
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198 | def __str__(self):
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199 | return sdtable._summary(self,True)
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200 |
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201 | def summary(self,filename=None, verbose=None):
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202 | """
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203 | Print a summary of the contents of this scantable.
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204 | Parameters:
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205 | filename: the name of a file to write the putput to
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206 | Default - no file output
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207 | verbose: print extra info such as the frequency table
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208 | The default (False) is taken from .asaprc
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209 | """
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210 | info = sdtable._summary(self, verbose)
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211 | if verbose is None: verbose = rcParams['scantable.verbosesummary']
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212 | if filename is not None:
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213 | if filename is "":
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214 | filename = 'scantable_summary.txt'
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215 | from os.path import expandvars, isdir
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216 | filename = expandvars(filename)
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217 | if not isdir(filename):
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218 | data = open(filename, 'w')
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219 | data.write(info)
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220 | data.close()
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221 | else:
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222 | msg = "Illegal file name '%s'." % (filename)
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223 | if rcParams['verbose']:
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224 | print msg
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225 | else:
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226 | raise IOError(msg)
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227 | if rcParams['verbose']:
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228 | try:
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229 | from IPython.genutils import page as pager
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230 | except ImportError:
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231 | from pydoc import pager
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232 | pager(info)
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233 | else:
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234 | return info
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235 |
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236 | def set_cursor(self, beam=0, IF=0, pol=0):
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237 | """
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238 | Set the spectrum for individual operations.
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239 | Parameters:
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240 | beam, IF, pol: a number
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241 | Example:
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242 | scan.set_cursor(0,0,1)
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243 | pol1sig = scan.stats(all=False) # returns std dev for beam=0
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244 | # if=0, pol=1
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245 | """
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246 | varlist = vars()
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247 | self.setbeam(beam)
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248 | self.setpol(pol)
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249 | self.setif(IF)
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250 | self._add_history("set_cursor",varlist)
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251 | return
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252 |
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253 | def get_cursor(self):
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254 | """
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255 | Return/print a the current 'cursor' into the Beam/IF/Pol cube.
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256 | Parameters:
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257 | none
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258 | Returns:
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259 | a list of values (currentBeam,currentIF,currentPol)
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260 | Example:
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261 | none
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262 | """
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263 | i = self.getbeam()
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264 | j = self.getif()
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265 | k = self.getpol()
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266 | from asap import asaplog
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267 | out = "--------------------------------------------------\n"
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268 | out += " Cursor position\n"
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269 | out += "--------------------------------------------------\n"
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270 | out += 'Beam=%d IF=%d Pol=%d ' % (i,j,k)
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271 | asaplog.push(out)
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272 | print_log()
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273 | return i,j,k
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274 |
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275 | def stats(self, stat='stddev', mask=None, allaxes=None):
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276 | """
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277 | Determine the specified statistic of the current beam/if/pol
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278 | Takes a 'mask' as an optional parameter to specify which
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279 | channels should be excluded.
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280 | Parameters:
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281 | stat: 'min', 'max', 'sumsq', 'sum', 'mean'
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282 | 'var', 'stddev', 'avdev', 'rms', 'median'
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283 | mask: an optional mask specifying where the statistic
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284 | should be determined.
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285 | allaxes: if True apply to all spectra. Otherwise
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286 | apply only to the selected (beam/pol/if)spectra only.
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287 | The default is taken from .asaprc (True if none)
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288 | Example:
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289 | scan.set_unit('channel')
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290 | msk = scan.create_mask([100,200],[500,600])
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291 | scan.stats(stat='mean', mask=m)
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292 | """
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293 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
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294 | from asap._asap import stats as _stats
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295 | from numarray import array,zeros,Float
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296 | if mask == None:
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297 | mask = ones(self.nchan())
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298 | axes = ['Beam','IF','Pol','Time']
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299 |
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300 | beamSel,IFSel,polSel = (self.getbeam(),self.getif(),self.getpol())
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301 | if allaxes:
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302 | n = self.nbeam()*self.nif()*self.npol()*self.nrow()
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303 | shp = [self.nbeam(),self.nif(),self.npol(),self.nrow()]
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304 | arr = array(zeros(n),shape=shp,type=Float)
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305 |
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306 | for i in range(self.nbeam()):
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307 | self.setbeam(i)
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308 | for j in range(self.nif()):
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309 | self.setif(j)
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310 | for k in range(self.npol()):
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311 | self.setpol(k)
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312 | arr[i,j,k,:] = _stats(self,mask,stat,-1)
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313 | retval = {'axes': axes, 'data': arr, 'cursor':None}
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314 | tm = [self._gettime(val) for val in range(self.nrow())]
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315 | if rcParams['verbose']:
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316 | self._print_values(retval,stat,tm)
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317 | self.setbeam(beamSel)
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318 | self.setif(IFSel)
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319 | self.setpol(polSel)
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320 | return retval
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321 |
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322 | else:
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323 | statval = _stats(self,mask,stat,-1)
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324 | out = ''
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325 | for l in range(self.nrow()):
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326 | tm = self._gettime(l)
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327 | out += 'Time[%s]:\n' % (tm)
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328 | if self.nbeam() > 1: out += ' Beam[%d] ' % (beamSel)
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329 | if self.nif() > 1: out += ' IF[%d] ' % (IFSel)
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330 | if self.npol() > 1: out += ' Pol[%d] ' % (polSel)
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331 | out += '= %3.3f\n' % (statval[l])
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332 | out += "--------------------------------------------------\n"
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333 |
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334 | if rcParams['verbose']:
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335 | print "--------------------------------------------------"
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336 | print " ",stat
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337 | print "--------------------------------------------------"
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338 | print out
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339 | retval = {'axes': axes, 'data': array(statval), 'cursor':(i,j,k)}
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340 | return retval
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341 |
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342 | def stddev(self,mask=None, allaxes=None):
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343 | """
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344 | Determine the standard deviation of the current beam/if/pol
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345 | Takes a 'mask' as an optional parameter to specify which
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346 | channels should be excluded.
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347 | Parameters:
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348 | mask: an optional mask specifying where the standard
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349 | deviation should be determined.
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350 | allaxes: optional flag to show all or a cursor selected
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351 | spectrum of Beam/IF/Pol. Default is all or taken
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352 | from .asaprc
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353 |
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354 | Example:
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355 | scan.set_unit('channel')
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356 | msk = scan.create_mask([100,200],[500,600])
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357 | scan.stddev(mask=m)
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358 | """
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359 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
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360 | return self.stats(stat='stddev',mask=mask, allaxes=allaxes);
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361 |
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362 | def get_tsys(self, allaxes=None):
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363 | """
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364 | Return the System temperatures.
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365 | Parameters:
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366 | allaxes: if True apply to all spectra. Otherwise
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367 | apply only to the selected (beam/pol/if)spectra only.
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368 | The default is taken from .asaprc (True if none)
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369 | Returns:
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370 | a list of Tsys values.
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371 | """
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372 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
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373 | from numarray import array,zeros,Float
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374 | axes = ['Beam','IF','Pol','Time']
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375 |
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376 | if allaxes:
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377 | n = self.nbeam()*self.nif()*self.npol()*self.nrow()
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378 | shp = [self.nbeam(),self.nif(),self.npol(),self.nrow()]
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379 | arr = array(zeros(n),shape=shp,type=Float)
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380 |
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381 | for i in range(self.nbeam()):
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382 | self.setbeam(i)
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383 | for j in range(self.nif()):
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384 | self.setif(j)
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385 | for k in range(self.npol()):
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386 | self.setpol(k)
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387 | arr[i,j,k,:] = self._gettsys()
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388 | retval = {'axes': axes, 'data': arr, 'cursor':None}
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389 | tm = [self._gettime(val) for val in range(self.nrow())]
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390 | if rcParams['verbose']:
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391 | self._print_values(retval,'Tsys',tm)
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392 | return retval
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393 |
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394 | else:
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395 | i,j,k = (self.getbeam(),self.getif(),self.getpol())
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396 | statval = self._gettsys()
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397 | out = ''
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398 | for l in range(self.nrow()):
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399 | tm = self._gettime(l)
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400 | out += 'Time[%s]:\n' % (tm)
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401 | if self.nbeam() > 1: out += ' Beam[%d] ' % (i)
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402 | if self.nif() > 1: out += ' IF[%d] ' % (j)
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403 | if self.npol() > 1: out += ' Pol[%d] ' % (k)
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404 | out += '= %3.3f\n' % (statval[l])
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405 | out += "--------------------------------------------------\n"
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406 |
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407 | if rcParams['verbose']:
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408 | print "--------------------------------------------------"
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409 | print " TSys"
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410 | print "--------------------------------------------------"
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411 | print out
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412 | retval = {'axes': axes, 'data': array(statval), 'cursor':(i,j,k)}
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413 | return retval
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414 |
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415 | def get_time(self, row=-1):
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416 | """
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417 | Get a list of time stamps for the observations.
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418 | Return a string for each integration in the scantable.
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419 | Parameters:
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420 | row: row no of integration. Default -1 return all rows
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421 | Example:
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422 | none
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423 | """
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424 | out = []
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425 | if row == -1:
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426 | for i in range(self.nrow()):
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427 | out.append(self._gettime(i))
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428 | return out
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429 | else:
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430 | if row < self.nrow():
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431 | return self._gettime(row)
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432 |
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433 | def get_sourcename(self, row=-1):
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434 | """
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435 | Get a list source names for the observations.
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436 | Return a string for each integration in the scantable.
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437 | Parameters:
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438 | row: row no of integration. Default -1 return all rows
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439 | Example:
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440 | none
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441 | """
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442 | out = []
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443 | if row == -1:
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444 | return [self._getsourcename(i) for i in range(self.nrow())]
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445 | else:
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446 | if 0 <= row < self.nrow():
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447 | return self._getsourcename(row)
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448 |
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449 | def get_elevation(self, row=-1):
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450 | """
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451 | Get a list of elevations for the observations.
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452 | Return a float for each integration in the scantable.
|
---|
453 | Parameters:
|
---|
454 | row: row no of integration. Default -1 return all rows
|
---|
455 | Example:
|
---|
456 | none
|
---|
457 | """
|
---|
458 | out = []
|
---|
459 | if row == -1:
|
---|
460 | return [self._getelevation(i) for i in range(self.nrow())]
|
---|
461 | else:
|
---|
462 | if 0 <= row < self.nrow():
|
---|
463 | return self._getelevation(row)
|
---|
464 |
|
---|
465 | def get_azimuth(self, row=-1):
|
---|
466 | """
|
---|
467 | Get a list of azimuths for the observations.
|
---|
468 | Return a float for each integration in the scantable.
|
---|
469 | Parameters:
|
---|
470 | row: row no of integration. Default -1 return all rows
|
---|
471 | Example:
|
---|
472 | none
|
---|
473 | """
|
---|
474 | out = []
|
---|
475 | if row == -1:
|
---|
476 | return [self._getazimuth(i) for i in range(self.nrow())]
|
---|
477 | else:
|
---|
478 | if 0 <= row < self.nrow():
|
---|
479 | return self._getazimuth(row)
|
---|
480 |
|
---|
481 | def get_parangle(self, row=-1):
|
---|
482 | """
|
---|
483 | Get a list of parallactic angles for the observations.
|
---|
484 | Return a float for each integration in the scantable.
|
---|
485 | Parameters:
|
---|
486 | row: row no of integration. Default -1 return all rows
|
---|
487 | Example:
|
---|
488 | none
|
---|
489 | """
|
---|
490 | out = []
|
---|
491 | if row == -1:
|
---|
492 | return [self._getparangle(i) for i in range(self.nrow())]
|
---|
493 | else:
|
---|
494 | if 0 <= row < self.nrow():
|
---|
495 | return self._getparangle(row)
|
---|
496 |
|
---|
497 | def set_unit(self, unit='channel'):
|
---|
498 | """
|
---|
499 | Set the unit for all following operations on this scantable
|
---|
500 | Parameters:
|
---|
501 | unit: optional unit, default is 'channel'
|
---|
502 | one of '*Hz','km/s','channel', ''
|
---|
503 | """
|
---|
504 | varlist = vars()
|
---|
505 | if unit in ['','pixel', 'channel']:
|
---|
506 | unit = ''
|
---|
507 | inf = list(self._getcoordinfo())
|
---|
508 | inf[0] = unit
|
---|
509 | self._setcoordinfo(inf)
|
---|
510 | if self._p: self.plot()
|
---|
511 | self._add_history("set_unit",varlist)
|
---|
512 |
|
---|
513 | def set_instrument(self, instr):
|
---|
514 | """
|
---|
515 | Set the instrument for subsequent processing
|
---|
516 | Parameters:
|
---|
517 | instr: Select from 'ATPKSMB', 'ATPKSHOH', 'ATMOPRA',
|
---|
518 | 'DSS-43' (Tid), 'CEDUNA', and 'HOBART'
|
---|
519 | """
|
---|
520 | self._setInstrument(instr)
|
---|
521 | self._add_history("set_instument",vars())
|
---|
522 | print_log()
|
---|
523 |
|
---|
524 | def set_doppler(self, doppler='RADIO'):
|
---|
525 | """
|
---|
526 | Set the doppler for all following operations on this scantable.
|
---|
527 | Parameters:
|
---|
528 | doppler: One of 'RADIO', 'OPTICAL', 'Z', 'BETA', 'GAMMA'
|
---|
529 | """
|
---|
530 | varlist = vars()
|
---|
531 | inf = list(self._getcoordinfo())
|
---|
532 | inf[2] = doppler
|
---|
533 | self._setcoordinfo(inf)
|
---|
534 | if self._p: self.plot()
|
---|
535 | self._add_history("set_doppler",vars())
|
---|
536 | print_log()
|
---|
537 |
|
---|
538 | def set_freqframe(self, frame=None):
|
---|
539 | """
|
---|
540 | Set the frame type of the Spectral Axis.
|
---|
541 | Parameters:
|
---|
542 | frame: an optional frame type, default 'LSRK'. Valid frames are:
|
---|
543 | 'REST','TOPO','LSRD','LSRK','BARY',
|
---|
544 | 'GEO','GALACTO','LGROUP','CMB'
|
---|
545 | Examples:
|
---|
546 | scan.set_freqframe('BARY')
|
---|
547 | """
|
---|
548 | if frame is None: frame = rcParams['scantable.freqframe']
|
---|
549 | varlist = vars()
|
---|
550 | valid = ['REST','TOPO','LSRD','LSRK','BARY', \
|
---|
551 | 'GEO','GALACTO','LGROUP','CMB']
|
---|
552 |
|
---|
553 | if frame in valid:
|
---|
554 | inf = list(self._getcoordinfo())
|
---|
555 | inf[1] = frame
|
---|
556 | self._setcoordinfo(inf)
|
---|
557 | self._add_history("set_freqframe",varlist)
|
---|
558 | else:
|
---|
559 | msg = "Please specify a valid freq type. Valid types are:\n",valid
|
---|
560 | if rcParams['verbose']:
|
---|
561 | print msg
|
---|
562 | else:
|
---|
563 | raise TypeError(msg)
|
---|
564 | print_log()
|
---|
565 |
|
---|
566 | def get_unit(self):
|
---|
567 | """
|
---|
568 | Get the default unit set in this scantable
|
---|
569 | Parameters:
|
---|
570 | Returns:
|
---|
571 | A unit string
|
---|
572 | """
|
---|
573 | inf = self._getcoordinfo()
|
---|
574 | unit = inf[0]
|
---|
575 | if unit == '': unit = 'channel'
|
---|
576 | return unit
|
---|
577 |
|
---|
578 | def get_abcissa(self, rowno=0):
|
---|
579 | """
|
---|
580 | Get the abcissa in the current coordinate setup for the currently
|
---|
581 | selected Beam/IF/Pol
|
---|
582 | Parameters:
|
---|
583 | rowno: an optional row number in the scantable. Default is the
|
---|
584 | first row, i.e. rowno=0
|
---|
585 | Returns:
|
---|
586 | The abcissa values and it's format string (as a dictionary)
|
---|
587 | """
|
---|
588 | abc = self._getabcissa(rowno)
|
---|
589 | lbl = self._getabcissalabel(rowno)
|
---|
590 | print_log()
|
---|
591 | return abc, lbl
|
---|
592 |
|
---|
593 | def create_mask(self, *args, **kwargs):
|
---|
594 | """
|
---|
595 | Compute and return a mask based on [min,max] windows.
|
---|
596 | The specified windows are to be INCLUDED, when the mask is
|
---|
597 | applied.
|
---|
598 | Parameters:
|
---|
599 | [min,max],[min2,max2],...
|
---|
600 | Pairs of start/end points specifying the regions
|
---|
601 | to be masked
|
---|
602 | invert: optional argument. If specified as True,
|
---|
603 | return an inverted mask, i.e. the regions
|
---|
604 | specified are EXCLUDED
|
---|
605 | row: create the mask using the specified row for
|
---|
606 | unit conversions, default is row=0
|
---|
607 | only necessary if frequency varies over rows.
|
---|
608 | Example:
|
---|
609 | scan.set_unit('channel')
|
---|
610 |
|
---|
611 | a)
|
---|
612 | msk = scan.set_mask([400,500],[800,900])
|
---|
613 | # masks everything outside 400 and 500
|
---|
614 | # and 800 and 900 in the unit 'channel'
|
---|
615 |
|
---|
616 | b)
|
---|
617 | msk = scan.set_mask([400,500],[800,900], invert=True)
|
---|
618 | # masks the regions between 400 and 500
|
---|
619 | # and 800 and 900 in the unit 'channel'
|
---|
620 |
|
---|
621 | """
|
---|
622 | row = 0
|
---|
623 | if kwargs.has_key("row"):
|
---|
624 | row = kwargs.get("row")
|
---|
625 | data = self._getabcissa(row)
|
---|
626 | u = self._getcoordinfo()[0]
|
---|
627 | if rcParams['verbose']:
|
---|
628 | if u == "": u = "channel"
|
---|
629 | from asap import asaplog
|
---|
630 | msg = "The current mask window unit is %s" % u
|
---|
631 | asaplog.push(msg)
|
---|
632 | n = self.nchan()
|
---|
633 | msk = zeros(n)
|
---|
634 | # test if args is a 'list' or a 'normal *args - UGLY!!!
|
---|
635 |
|
---|
636 | ws = (isinstance(args[-1][-1],int) or isinstance(args[-1][-1],float)) and args or args[0]
|
---|
637 | for window in ws:
|
---|
638 | if (len(window) != 2 or window[0] > window[1] ):
|
---|
639 | raise TypeError("A window needs to be defined as [min,max]")
|
---|
640 | for i in range(n):
|
---|
641 | if data[i] >= window[0] and data[i] < window[1]:
|
---|
642 | msk[i] = 1
|
---|
643 | if kwargs.has_key('invert'):
|
---|
644 | if kwargs.get('invert'):
|
---|
645 | from numarray import logical_not
|
---|
646 | msk = logical_not(msk)
|
---|
647 | print_log()
|
---|
648 | return msk
|
---|
649 |
|
---|
650 | def get_restfreqs(self):
|
---|
651 | """
|
---|
652 | Get the restfrequency(s) stored in this scantable.
|
---|
653 | The return value(s) are always of unit 'Hz'
|
---|
654 | Parameters:
|
---|
655 | none
|
---|
656 | Returns:
|
---|
657 | a list of doubles
|
---|
658 | """
|
---|
659 | return list(self._getrestfreqs())
|
---|
660 |
|
---|
661 | def lines(self):
|
---|
662 | """
|
---|
663 | Print the list of known spectral lines
|
---|
664 | """
|
---|
665 | l = sdtable._lines(self)
|
---|
666 | if rcParams['verbose']:
|
---|
667 | print l
|
---|
668 | else:
|
---|
669 | return l
|
---|
670 |
|
---|
671 | def set_restfreqs(self, freqs=None, unit='Hz', lines=None, source=None,
|
---|
672 | theif=None):
|
---|
673 | """
|
---|
674 | Select the restfrequency for the specified source and IF OR
|
---|
675 | replace for all IFs. If the 'freqs' argument holds a scalar,
|
---|
676 | then that rest frequency will be applied to the selected
|
---|
677 | data (and added to the list of available rest frequencies).
|
---|
678 | In this way, you can set a rest frequency for each
|
---|
679 | source and IF combination. If the 'freqs' argument holds
|
---|
680 | a vector, then it MUST be of length the number of IFs
|
---|
681 | (and the available restfrequencies will be replaced by
|
---|
682 | this vector). In this case, *all* data ('source' and
|
---|
683 | 'theif' are ignored) have the restfrequency set per IF according
|
---|
684 | to the corresponding value you give in the 'freqs' vector.
|
---|
685 | E.g. 'freqs=[1e9,2e9]' would mean IF 0 gets restfreq 1e9 and
|
---|
686 | IF 1 gets restfreq 2e9.
|
---|
687 |
|
---|
688 | You can also specify the frequencies via known line names
|
---|
689 | in the argument 'lines'. Use 'freqs' or 'lines'. 'freqs'
|
---|
690 | takes precedence. See the list of known names via function
|
---|
691 | scantable.lines()
|
---|
692 | Parameters:
|
---|
693 | freqs: list of rest frequencies
|
---|
694 | unit: unit for rest frequency (default 'Hz')
|
---|
695 | lines: list of known spectral lines names (alternative to freqs).
|
---|
696 | See possible list via scantable.lines()
|
---|
697 | source: Source name (blank means all)
|
---|
698 | theif: IF (-1 means all)
|
---|
699 | Example:
|
---|
700 | scan.set_restfreqs(freqs=1.4e9, source='NGC253', theif=2)
|
---|
701 | scan.set_restfreqs(freqs=[1.4e9,1.67e9])
|
---|
702 | """
|
---|
703 | varlist = vars()
|
---|
704 | if source is None:
|
---|
705 | source = ""
|
---|
706 | if theif is None:
|
---|
707 | theif = -1
|
---|
708 | t = type(freqs)
|
---|
709 | if t is int or t is float:
|
---|
710 | freqs = [freqs]
|
---|
711 | if freqs is None:
|
---|
712 | freqs = []
|
---|
713 | t = type(lines)
|
---|
714 | if t is str:
|
---|
715 | lines = [lines]
|
---|
716 | if lines is None:
|
---|
717 | lines = []
|
---|
718 | sdtable._setrestfreqs(self, freqs, unit, lines, source, theif)
|
---|
719 | self._add_history("set_restfreqs", varlist)
|
---|
720 |
|
---|
721 |
|
---|
722 |
|
---|
723 | def flag_spectrum(self, flags, row=-1, allaxes=None):
|
---|
724 | """
|
---|
725 | This flags a selected spectrum in the scan 'for good'.
|
---|
726 | USE WITH CARE - not reversible.
|
---|
727 | Use masks for non-permanent exclusion of channels.
|
---|
728 | Parameters:
|
---|
729 | flags: a mask created with scantable.create_mask
|
---|
730 | row: the number of the row (intergration) to flag,
|
---|
731 | the deafult is -1, which is ALL rows.
|
---|
732 | allaxes: if True apply to all spectra. Otherwise
|
---|
733 | apply only to the selected (beam/pol/if)spectra only
|
---|
734 | The default is taken from .asaprc (True if none)
|
---|
735 | Example:
|
---|
736 | scan.flag_spectrum() # flags everything, not very useful
|
---|
737 | msk = scan.create_mask([511,513])
|
---|
738 | scan,set_cursor(IF=1)
|
---|
739 | scan.flag_spectrum(msk, allaxes=False)
|
---|
740 | # flags the central three channels for all rows in the table,
|
---|
741 | # using the selected IF only (e.g. a birdie)
|
---|
742 | """
|
---|
743 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
744 | if len(flags) != self.nchan():
|
---|
745 | msg = "Length of mask invalid.",valid
|
---|
746 | if rcParams['verbose']:
|
---|
747 | print msg
|
---|
748 | return
|
---|
749 | else:
|
---|
750 | raise AssertionError(msg)
|
---|
751 | rows = range(self.nrow())
|
---|
752 | if row > -1: rows = [row]
|
---|
753 | for r in rows:
|
---|
754 | if allaxes:
|
---|
755 | beamSel,IFSel,polSel = (self.getbeam(),self.getif(),self.getpol())
|
---|
756 | for i in range(self.nbeam()):
|
---|
757 | self.setbeam(i)
|
---|
758 | for j in range(self.nif()):
|
---|
759 | self.setif(j)
|
---|
760 | for k in range(self.npol()):
|
---|
761 | self.setpol(k)
|
---|
762 | sdtable._flagspectrum(self, flags, r)
|
---|
763 | self.setbeam(beamSel)
|
---|
764 | self.setif(IFSel)
|
---|
765 | self.setpol(polSel)
|
---|
766 | else:
|
---|
767 | sdtable._flagspectrum(self, flags, r)
|
---|
768 | self._add_history("flag_spectrum", vars())
|
---|
769 | return
|
---|
770 |
|
---|
771 | def _print_values(self, dat, label='', timestamps=[]):
|
---|
772 | d = dat['data']
|
---|
773 | a = dat['axes']
|
---|
774 | shp = d.getshape()
|
---|
775 | out = ''
|
---|
776 | for i in range(shp[3]):
|
---|
777 | out += '%s [%s]:\n' % (a[3],timestamps[i])
|
---|
778 | t = d[:,:,:,i]
|
---|
779 | for j in range(shp[0]):
|
---|
780 | if shp[0] > 1: out += ' %s[%d] ' % (a[0],j)
|
---|
781 | for k in range(shp[1]):
|
---|
782 | if shp[1] > 1: out += ' %s[%d] ' % (a[1],k)
|
---|
783 | for l in range(shp[2]):
|
---|
784 | if shp[2] > 1: out += ' %s[%d] ' % (a[2],l)
|
---|
785 | out += '= %3.3f\n' % (t[j,k,l])
|
---|
786 | out += "-"*80
|
---|
787 | out += "\n"
|
---|
788 | print "-"*80
|
---|
789 | print " ", label
|
---|
790 | print "-"*80
|
---|
791 | print out
|
---|
792 |
|
---|
793 | def history(self):
|
---|
794 | hist = list(self._gethistory())
|
---|
795 | out = "-"*80
|
---|
796 | for h in hist:
|
---|
797 | if h.startswith("---"):
|
---|
798 | out += "\n"+h
|
---|
799 | else:
|
---|
800 | items = h.split("##")
|
---|
801 | date = items[0]
|
---|
802 | func = items[1]
|
---|
803 | items = items[2:]
|
---|
804 | out += "\n"+date+"\n"
|
---|
805 | out += "Function: %s\n Parameters:" % (func)
|
---|
806 | for i in items:
|
---|
807 | s = i.split("=")
|
---|
808 | out += "\n %s = %s" % (s[0],s[1])
|
---|
809 | out += "\n"+"-"*80
|
---|
810 | try:
|
---|
811 | from IPython.genutils import page as pager
|
---|
812 | except ImportError:
|
---|
813 | from pydoc import pager
|
---|
814 | pager(out)
|
---|
815 | return
|
---|
816 |
|
---|
817 | #
|
---|
818 | # Maths business
|
---|
819 | #
|
---|
820 |
|
---|
821 | def average_time(self, mask=None, scanav=False, weight='tint'):
|
---|
822 | """
|
---|
823 | Return the (time) average of a scan, or apply it 'insitu'.
|
---|
824 | Note:
|
---|
825 | in channels only
|
---|
826 | The cursor of the output scan is set to 0.
|
---|
827 | Parameters:
|
---|
828 | one scan or comma separated scans
|
---|
829 | mask: an optional mask (only used for 'var' and 'tsys'
|
---|
830 | weighting)
|
---|
831 | scanav: True averages each scan separately
|
---|
832 | False (default) averages all scans together,
|
---|
833 | weight: Weighting scheme. 'none', 'var' (1/var(spec)
|
---|
834 | weighted), 'tsys' (1/Tsys**2 weighted), 'tint'
|
---|
835 | (integration time weighted) or 'tintsys' (Tint/Tsys**2).
|
---|
836 | The default is 'tint'
|
---|
837 | Example:
|
---|
838 | # time average the scantable without using a mask
|
---|
839 | newscan = scan.average_time()
|
---|
840 | """
|
---|
841 | varlist = vars()
|
---|
842 | if weight is None: weight = 'tint'
|
---|
843 | if mask is None: mask = ()
|
---|
844 | from asap._asap import average as _av
|
---|
845 | s = scantable(_av((self,), mask, scanav, weight))
|
---|
846 | s._add_history("average_time",varlist)
|
---|
847 | print_log()
|
---|
848 | return s
|
---|
849 |
|
---|
850 | def convert_flux(self, jyperk=None, eta=None, d=None, insitu=None,
|
---|
851 | allaxes=None):
|
---|
852 | """
|
---|
853 | Return a scan where all spectra are converted to either
|
---|
854 | Jansky or Kelvin depending upon the flux units of the scan table.
|
---|
855 | By default the function tries to look the values up internally.
|
---|
856 | If it can't find them (or if you want to over-ride), you must
|
---|
857 | specify EITHER jyperk OR eta (and D which it will try to look up
|
---|
858 | also if you don't set it). jyperk takes precedence if you set both.
|
---|
859 | Parameters:
|
---|
860 | jyperk: the Jy / K conversion factor
|
---|
861 | eta: the aperture efficiency
|
---|
862 | d: the geomtric diameter (metres)
|
---|
863 | insitu: if False a new scantable is returned.
|
---|
864 | Otherwise, the scaling is done in-situ
|
---|
865 | The default is taken from .asaprc (False)
|
---|
866 | allaxes: if True apply to all spectra. Otherwise
|
---|
867 | apply only to the selected (beam/pol/if)spectra only
|
---|
868 | The default is taken from .asaprc (True if none)
|
---|
869 | """
|
---|
870 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
871 | if insitu is None: insitu = rcParams['insitu']
|
---|
872 | varlist = vars()
|
---|
873 | if jyperk is None: jyperk = -1.0
|
---|
874 | if d is None: d = -1.0
|
---|
875 | if eta is None: eta = -1.0
|
---|
876 | if not insitu:
|
---|
877 | from asap._asap import convertflux as _convert
|
---|
878 | s = scantable(_convert(self, d, eta, jyperk, allaxes))
|
---|
879 | s._add_history("convert_flux", varlist)
|
---|
880 | print_log()
|
---|
881 | return s
|
---|
882 | else:
|
---|
883 | from asap._asap import convertflux_insitu as _convert
|
---|
884 | _convert(self, d, eta, jyperk, allaxes)
|
---|
885 | self._add_history("convert_flux", varlist)
|
---|
886 | print_log()
|
---|
887 | return
|
---|
888 |
|
---|
889 | def gain_el(self, poly=None, filename="", method="linear",
|
---|
890 | insitu=None, allaxes=None):
|
---|
891 | """
|
---|
892 | Return a scan after applying a gain-elevation correction.
|
---|
893 | The correction can be made via either a polynomial or a
|
---|
894 | table-based interpolation (and extrapolation if necessary).
|
---|
895 | You specify polynomial coefficients, an ascii table or neither.
|
---|
896 | If you specify neither, then a polynomial correction will be made
|
---|
897 | with built in coefficients known for certain telescopes (an error
|
---|
898 | will occur if the instrument is not known).
|
---|
899 | The data and Tsys are *divided* by the scaling factors.
|
---|
900 | Parameters:
|
---|
901 | poly: Polynomial coefficients (default None) to compute a
|
---|
902 | gain-elevation correction as a function of
|
---|
903 | elevation (in degrees).
|
---|
904 | filename: The name of an ascii file holding correction factors.
|
---|
905 | The first row of the ascii file must give the column
|
---|
906 | names and these MUST include columns
|
---|
907 | "ELEVATION" (degrees) and "FACTOR" (multiply data
|
---|
908 | by this) somewhere.
|
---|
909 | The second row must give the data type of the
|
---|
910 | column. Use 'R' for Real and 'I' for Integer.
|
---|
911 | An example file would be
|
---|
912 | (actual factors are arbitrary) :
|
---|
913 |
|
---|
914 | TIME ELEVATION FACTOR
|
---|
915 | R R R
|
---|
916 | 0.1 0 0.8
|
---|
917 | 0.2 20 0.85
|
---|
918 | 0.3 40 0.9
|
---|
919 | 0.4 60 0.85
|
---|
920 | 0.5 80 0.8
|
---|
921 | 0.6 90 0.75
|
---|
922 | method: Interpolation method when correcting from a table.
|
---|
923 | Values are "nearest", "linear" (default), "cubic"
|
---|
924 | and "spline"
|
---|
925 | insitu: if False a new scantable is returned.
|
---|
926 | Otherwise, the scaling is done in-situ
|
---|
927 | The default is taken from .asaprc (False)
|
---|
928 | allaxes: If True apply to all spectra. Otherwise
|
---|
929 | apply only to the selected (beam/pol/if) spectra only
|
---|
930 | The default is taken from .asaprc (True if none)
|
---|
931 | """
|
---|
932 |
|
---|
933 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
934 | if insitu is None: insitu = rcParams['insitu']
|
---|
935 | varlist = vars()
|
---|
936 | if poly is None:
|
---|
937 | poly = ()
|
---|
938 | from os.path import expandvars
|
---|
939 | filename = expandvars(filename)
|
---|
940 | if not insitu:
|
---|
941 | from asap._asap import gainel as _gainEl
|
---|
942 | s = scantable(_gainEl(self, poly, filename, method, allaxes))
|
---|
943 | s._add_history("gain_el", varlist)
|
---|
944 | print_log()
|
---|
945 | return s
|
---|
946 | else:
|
---|
947 | from asap._asap import gainel_insitu as _gainEl
|
---|
948 | _gainEl(self, poly, filename, method, allaxes)
|
---|
949 | self._add_history("gain_el", varlist)
|
---|
950 | print_log()
|
---|
951 | return
|
---|
952 |
|
---|
953 | def freq_align(self, reftime=None, method='cubic', perif=False,
|
---|
954 | insitu=None):
|
---|
955 | """
|
---|
956 | Return a scan where all rows have been aligned in frequency/velocity.
|
---|
957 | The alignment frequency frame (e.g. LSRK) is that set by function
|
---|
958 | set_freqframe.
|
---|
959 | Parameters:
|
---|
960 | reftime: reference time to align at. By default, the time of
|
---|
961 | the first row of data is used.
|
---|
962 | method: Interpolation method for regridding the spectra.
|
---|
963 | Choose from "nearest", "linear", "cubic" (default)
|
---|
964 | and "spline"
|
---|
965 | perif: Generate aligners per freqID (no doppler tracking) or
|
---|
966 | per IF (scan-based doppler tracking)
|
---|
967 | insitu: if False a new scantable is returned.
|
---|
968 | Otherwise, the scaling is done in-situ
|
---|
969 | The default is taken from .asaprc (False)
|
---|
970 | """
|
---|
971 | if insitu is None: insitu = rcParams['insitu']
|
---|
972 | varlist = vars()
|
---|
973 | if reftime is None: reftime = ''
|
---|
974 | perfreqid = not perif
|
---|
975 | if not insitu:
|
---|
976 | from asap._asap import freq_align as _align
|
---|
977 | s = scantable(_align(self, reftime, method, perfreqid))
|
---|
978 | s._add_history("freq_align", varlist)
|
---|
979 | print_log()
|
---|
980 | return s
|
---|
981 | else:
|
---|
982 | from asap._asap import freq_align_insitu as _align
|
---|
983 | _align(self, reftime, method, perfreqid)
|
---|
984 | self._add_history("freq_align", varlist)
|
---|
985 | print_log()
|
---|
986 | return
|
---|
987 |
|
---|
988 | def opacity(self, tau, insitu=None, allaxes=None):
|
---|
989 | """
|
---|
990 | Apply an opacity correction. The data
|
---|
991 | and Tsys are multiplied by the correction factor.
|
---|
992 | Parameters:
|
---|
993 | tau: Opacity from which the correction factor is
|
---|
994 | exp(tau*ZD)
|
---|
995 | where ZD is the zenith-distance
|
---|
996 | insitu: if False a new scantable is returned.
|
---|
997 | Otherwise, the scaling is done in-situ
|
---|
998 | The default is taken from .asaprc (False)
|
---|
999 | allaxes: if True apply to all spectra. Otherwise
|
---|
1000 | apply only to the selected (beam/pol/if)spectra only
|
---|
1001 | The default is taken from .asaprc (True if none)
|
---|
1002 | """
|
---|
1003 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1004 | if insitu is None: insitu = rcParams['insitu']
|
---|
1005 | varlist = vars()
|
---|
1006 | if not insitu:
|
---|
1007 | from asap._asap import opacity as _opacity
|
---|
1008 | s = scantable(_opacity(self, tau, allaxes))
|
---|
1009 | s._add_history("opacity", varlist)
|
---|
1010 | print_log()
|
---|
1011 | return s
|
---|
1012 | else:
|
---|
1013 | from asap._asap import opacity_insitu as _opacity
|
---|
1014 | _opacity(self, tau, allaxes)
|
---|
1015 | self._add_history("opacity", varlist)
|
---|
1016 | print_log()
|
---|
1017 | return
|
---|
1018 |
|
---|
1019 | def bin(self, width=5, insitu=None):
|
---|
1020 | """
|
---|
1021 | Return a scan where all spectra have been binned up.
|
---|
1022 | width: The bin width (default=5) in pixels
|
---|
1023 | insitu: if False a new scantable is returned.
|
---|
1024 | Otherwise, the scaling is done in-situ
|
---|
1025 | The default is taken from .asaprc (False)
|
---|
1026 | """
|
---|
1027 | if insitu is None: insitu = rcParams['insitu']
|
---|
1028 | varlist = vars()
|
---|
1029 | if not insitu:
|
---|
1030 | from asap._asap import bin as _bin
|
---|
1031 | s = scantable(_bin(self, width))
|
---|
1032 | s._add_history("bin",varlist)
|
---|
1033 | print_log()
|
---|
1034 | return s
|
---|
1035 | else:
|
---|
1036 | from asap._asap import bin_insitu as _bin
|
---|
1037 | _bin(self, width)
|
---|
1038 | self._add_history("bin",varlist)
|
---|
1039 | print_log()
|
---|
1040 | return
|
---|
1041 |
|
---|
1042 |
|
---|
1043 | def resample(self, width=5, method='cubic', insitu=None):
|
---|
1044 | """
|
---|
1045 | Return a scan where all spectra have been binned up
|
---|
1046 | width: The bin width (default=5) in pixels
|
---|
1047 | method: Interpolation method when correcting from a table.
|
---|
1048 | Values are "nearest", "linear", "cubic" (default)
|
---|
1049 | and "spline"
|
---|
1050 | insitu: if False a new scantable is returned.
|
---|
1051 | Otherwise, the scaling is done in-situ
|
---|
1052 | The default is taken from .asaprc (False)
|
---|
1053 | """
|
---|
1054 | if insitu is None: insitu = rcParams['insitu']
|
---|
1055 | varlist = vars()
|
---|
1056 | if not insitu:
|
---|
1057 | from asap._asap import resample as _resample
|
---|
1058 | s = scantable(_resample(self, method, width))
|
---|
1059 | s._add_history("resample",varlist)
|
---|
1060 | print_log()
|
---|
1061 | return s
|
---|
1062 | else:
|
---|
1063 | from asap._asap import resample_insitu as _resample
|
---|
1064 | _resample(self, method, width)
|
---|
1065 | self._add_history("resample",varlist)
|
---|
1066 | print_log()
|
---|
1067 | return
|
---|
1068 |
|
---|
1069 | def average_pol(self, mask=None, weight='none', insitu=None):
|
---|
1070 | """
|
---|
1071 | Average the Polarisations together.
|
---|
1072 | The polarisation cursor of the output scan is set to 0
|
---|
1073 | Parameters:
|
---|
1074 | mask: An optional mask defining the region, where the
|
---|
1075 | averaging will be applied. The output will have all
|
---|
1076 | specified points masked.
|
---|
1077 | weight: Weighting scheme. 'none' (default), 'var' (1/var(spec)
|
---|
1078 | weighted), or 'tsys' (1/Tsys**2 weighted)
|
---|
1079 | insitu: if False a new scantable is returned.
|
---|
1080 | Otherwise, the scaling is done in-situ
|
---|
1081 | The default is taken from .asaprc (False)
|
---|
1082 | """
|
---|
1083 | if insitu is None: insitu = rcParams['insitu']
|
---|
1084 | varlist = vars()
|
---|
1085 |
|
---|
1086 | if mask is None:
|
---|
1087 | mask = ()
|
---|
1088 | if not insitu:
|
---|
1089 | from asap._asap import averagepol as _avpol
|
---|
1090 | s = scantable(_avpol(self, mask, weight))
|
---|
1091 | s._add_history("average_pol",varlist)
|
---|
1092 | print_log()
|
---|
1093 | return s
|
---|
1094 | else:
|
---|
1095 | from asap._asap import averagepol_insitu as _avpol
|
---|
1096 | _avpol(self, mask, weight)
|
---|
1097 | self._add_history("average_pol",varlist)
|
---|
1098 | print_log()
|
---|
1099 | return
|
---|
1100 |
|
---|
1101 | def smooth(self, kernel="hanning", width=5.0, insitu=None, allaxes=None):
|
---|
1102 | """
|
---|
1103 | Smooth the spectrum by the specified kernel (conserving flux).
|
---|
1104 | Parameters:
|
---|
1105 | scan: The input scan
|
---|
1106 | kernel: The type of smoothing kernel. Select from
|
---|
1107 | 'hanning' (default), 'gaussian' and 'boxcar'.
|
---|
1108 | The first three characters are sufficient.
|
---|
1109 | width: The width of the kernel in pixels. For hanning this is
|
---|
1110 | ignored otherwise it defauls to 5 pixels.
|
---|
1111 | For 'gaussian' it is the Full Width Half
|
---|
1112 | Maximum. For 'boxcar' it is the full width.
|
---|
1113 | insitu: if False a new scantable is returned.
|
---|
1114 | Otherwise, the scaling is done in-situ
|
---|
1115 | The default is taken from .asaprc (False)
|
---|
1116 | allaxes: If True (default) apply to all spectra. Otherwise
|
---|
1117 | apply only to the selected (beam/pol/if)spectra only
|
---|
1118 | The default is taken from .asaprc (True if none)
|
---|
1119 | Example:
|
---|
1120 | none
|
---|
1121 | """
|
---|
1122 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1123 | if insitu is None: insitu = rcParams['insitu']
|
---|
1124 | varlist = vars()
|
---|
1125 | if not insitu:
|
---|
1126 | from asap._asap import smooth as _smooth
|
---|
1127 | s = scantable(_smooth(self,kernel,width,allaxes))
|
---|
1128 | s._add_history("smooth", varlist)
|
---|
1129 | print_log()
|
---|
1130 | return s
|
---|
1131 | else:
|
---|
1132 | from asap._asap import smooth_insitu as _smooth
|
---|
1133 | _smooth(self,kernel,width,allaxes)
|
---|
1134 | self._add_history("smooth", varlist)
|
---|
1135 | print_log()
|
---|
1136 | return
|
---|
1137 |
|
---|
1138 | def poly_baseline(self, mask=None, order=0, insitu=None, allaxes=None):
|
---|
1139 | """
|
---|
1140 | Return a scan which has been baselined (all rows) by a polynomial.
|
---|
1141 | Parameters:
|
---|
1142 | scan: a scantable
|
---|
1143 | mask: an optional mask
|
---|
1144 | order: the order of the polynomial (default is 0)
|
---|
1145 | insitu: if False a new scantable is returned.
|
---|
1146 | Otherwise, the scaling is done in-situ
|
---|
1147 | The default is taken from .asaprc (False)
|
---|
1148 | allaxes: If True (default) apply to all spectra. Otherwise
|
---|
1149 | apply only to the selected (beam/pol/if)spectra only
|
---|
1150 | The default is taken from .asaprc (True if none)
|
---|
1151 | Example:
|
---|
1152 | # return a scan baselined by a third order polynomial,
|
---|
1153 | # not using a mask
|
---|
1154 | bscan = scan.poly_baseline(order=3)
|
---|
1155 | """
|
---|
1156 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1157 | if insitu is None: insitu = rcParams['insitu']
|
---|
1158 | varlist = vars()
|
---|
1159 | if mask is None:
|
---|
1160 | from numarray import ones
|
---|
1161 | mask = list(ones(self.nchan()))
|
---|
1162 | from asap.asapfitter import fitter
|
---|
1163 | f = fitter()
|
---|
1164 | f.set_scan(self, mask)
|
---|
1165 | f.set_function(poly=order)
|
---|
1166 | sf = f.auto_fit(insitu,allaxes)
|
---|
1167 | if insitu:
|
---|
1168 | self._add_history("poly_baseline", varlist)
|
---|
1169 | print_log()
|
---|
1170 | return
|
---|
1171 | else:
|
---|
1172 | sf._add_history("poly_baseline", varlist)
|
---|
1173 | print_log()
|
---|
1174 | return sf
|
---|
1175 |
|
---|
1176 | def auto_poly_baseline(self, mask=None, edge=(0,0), order=0,
|
---|
1177 | threshold=3,insitu=None):
|
---|
1178 | """
|
---|
1179 | Return a scan which has been baselined (all rows) by a polynomial.
|
---|
1180 | Spectral lines are detected first using linefinder and masked out
|
---|
1181 | to avoid them affecting the baseline solution.
|
---|
1182 |
|
---|
1183 | Parameters:
|
---|
1184 | mask: an optional mask retreived from scantable
|
---|
1185 | edge: an optional number of channel to drop at
|
---|
1186 | the edge of spectrum. If only one value is
|
---|
1187 | specified, the same number will be dropped from
|
---|
1188 | both sides of the spectrum. Default is to keep
|
---|
1189 | all channels
|
---|
1190 | order: the order of the polynomial (default is 0)
|
---|
1191 | threshold: the threshold used by line finder. It is better to
|
---|
1192 | keep it large as only strong lines affect the
|
---|
1193 | baseline solution.
|
---|
1194 | insitu: if False a new scantable is returned.
|
---|
1195 | Otherwise, the scaling is done in-situ
|
---|
1196 | The default is taken from .asaprc (False)
|
---|
1197 |
|
---|
1198 | Example:
|
---|
1199 | scan2=scan.auto_poly_baseline(order=7)
|
---|
1200 | """
|
---|
1201 | if insitu is None: insitu = rcParams['insitu']
|
---|
1202 | varlist = vars()
|
---|
1203 | from asap.asapfitter import fitter
|
---|
1204 | from asap.asaplinefind import linefinder
|
---|
1205 | from asap import _is_sequence_or_number as _is_valid
|
---|
1206 |
|
---|
1207 | if not _is_valid(edge, int):
|
---|
1208 |
|
---|
1209 | raise RuntimeError, "Parameter 'edge' has to be an integer or a \
|
---|
1210 | pair of integers specified as a tuple"
|
---|
1211 |
|
---|
1212 | # setup fitter
|
---|
1213 | f = fitter()
|
---|
1214 | f.set_function(poly=order)
|
---|
1215 |
|
---|
1216 | # setup line finder
|
---|
1217 | fl=linefinder()
|
---|
1218 | fl.set_options(threshold=threshold)
|
---|
1219 |
|
---|
1220 | if not insitu:
|
---|
1221 | workscan=self.copy()
|
---|
1222 | else:
|
---|
1223 | workscan=self
|
---|
1224 |
|
---|
1225 | sel=workscan.get_cursor()
|
---|
1226 | rows=range(workscan.nrow())
|
---|
1227 | from asap import asaplog
|
---|
1228 | for i in range(workscan.nbeam()):
|
---|
1229 | workscan.setbeam(i)
|
---|
1230 | for j in range(workscan.nif()):
|
---|
1231 | workscan.setif(j)
|
---|
1232 | for k in range(workscan.npol()):
|
---|
1233 | workscan.setpol(k)
|
---|
1234 | asaplog.push("Processing:")
|
---|
1235 | msg = 'Beam[%d], IF[%d], Pol[%d]' % (i,j,k)
|
---|
1236 | asaplog.push(msg)
|
---|
1237 | for iRow in rows:
|
---|
1238 | fl.set_scan(workscan,mask,edge)
|
---|
1239 | fl.find_lines(iRow)
|
---|
1240 | f.set_scan(workscan, fl.get_mask())
|
---|
1241 | f.x=workscan._getabcissa(iRow)
|
---|
1242 | f.y=workscan._getspectrum(iRow)
|
---|
1243 | f.data=None
|
---|
1244 | f.fit()
|
---|
1245 | x=f.get_parameters()
|
---|
1246 | workscan._setspectrum(f.fitter.getresidual(),iRow)
|
---|
1247 | workscan.set_cursor(sel[0],sel[1],sel[2])
|
---|
1248 | if not insitu:
|
---|
1249 | return workscan
|
---|
1250 |
|
---|
1251 | def rotate_linpolphase(self, angle, allaxes=None):
|
---|
1252 | """
|
---|
1253 | Rotate the phase of the complex polarization O=Q+iU correlation.
|
---|
1254 | This is always done in situ in the raw data. So if you call this
|
---|
1255 | function more than once then each call rotates the phase further.
|
---|
1256 | Parameters:
|
---|
1257 | angle: The angle (degrees) to rotate (add) by.
|
---|
1258 | allaxes: If True apply to all spectra. Otherwise
|
---|
1259 | apply only to the selected (beam/pol/if)spectra only.
|
---|
1260 | The default is taken from .asaprc (True if none)
|
---|
1261 | Examples:
|
---|
1262 | scan.rotate_linpolphase(2.3)
|
---|
1263 | """
|
---|
1264 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1265 | varlist = vars()
|
---|
1266 | from asap._asap import _rotate_linpolphase as _rotate
|
---|
1267 | _rotate(self, angle, allaxes)
|
---|
1268 | self._add_history("rotate_linpolphase", varlist)
|
---|
1269 | print_log()
|
---|
1270 | return
|
---|
1271 |
|
---|
1272 |
|
---|
1273 | def rotate_xyphase(self, angle, allaxes=None):
|
---|
1274 | """
|
---|
1275 | Rotate the phase of the XY correlation. This is always done in situ
|
---|
1276 | in the data. So if you call this function more than once
|
---|
1277 | then each call rotates the phase further.
|
---|
1278 | Parameters:
|
---|
1279 | angle: The angle (degrees) to rotate (add) by.
|
---|
1280 | allaxes: If True apply to all spectra. Otherwise
|
---|
1281 | apply only to the selected (beam/pol/if)spectra only.
|
---|
1282 | The default is taken from .asaprc (True if none)
|
---|
1283 | Examples:
|
---|
1284 | scan.rotate_xyphase(2.3)
|
---|
1285 | """
|
---|
1286 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1287 | varlist = vars()
|
---|
1288 | from asap._asap import _rotate_xyphase
|
---|
1289 | _rotate_xyphase(self, angle, allaxes)
|
---|
1290 | self._add_history("rotate_xyphase", varlist)
|
---|
1291 | print_log()
|
---|
1292 | return
|
---|
1293 |
|
---|
1294 | def invert_phase(self, allaxes=None):
|
---|
1295 | """
|
---|
1296 | Take the complex conjugate of the complex polarisation cross
|
---|
1297 | correlation. This is always done in situ in the data. If
|
---|
1298 | you call this function twice, you end up with the original phase
|
---|
1299 | Parameters:
|
---|
1300 | allaxes: If True apply to all spectra. Otherwise
|
---|
1301 | apply only to the selected (beam/pol/if)spectra only.
|
---|
1302 | The default is taken from .asaprc (True if none)
|
---|
1303 | Examples:
|
---|
1304 | scan.invert_phase()
|
---|
1305 | """
|
---|
1306 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1307 | varlist = vars()
|
---|
1308 | from asap._asap import _invert_phase
|
---|
1309 | _invert_phase(self, allaxes)
|
---|
1310 | self._add_history("invert_phase", varlist)
|
---|
1311 | print_log()
|
---|
1312 | return
|
---|
1313 |
|
---|
1314 | def swap_ppol(self, allaxes=None):
|
---|
1315 | """
|
---|
1316 | Swaps the order of parallel polarisation products (ie AA, BB
|
---|
1317 | becomes BB, AA) . This is always done in situ in the data.
|
---|
1318 | If you call this function twice, you end up with the original
|
---|
1319 | order
|
---|
1320 | Parameters:
|
---|
1321 | allaxes: If True apply to all spectra. Otherwise
|
---|
1322 | apply only to the selected (beam/pol/if)spectra only.
|
---|
1323 | The default is taken from .asaprc (True if none)
|
---|
1324 | Examples:
|
---|
1325 | scan.swap_pol()
|
---|
1326 | """
|
---|
1327 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1328 | varlist = vars()
|
---|
1329 | from asap._asap import _swap_pol
|
---|
1330 | _swap_pol(self, allaxes)
|
---|
1331 | self._add_history("swap_phase", varlist)
|
---|
1332 | print_log()
|
---|
1333 | return
|
---|
1334 |
|
---|
1335 |
|
---|
1336 | def add(self, offset, insitu=None, allaxes=None):
|
---|
1337 | """
|
---|
1338 | Return a scan where all spectra have the offset added
|
---|
1339 | Parameters:
|
---|
1340 | offset: the offset
|
---|
1341 | insitu: if False a new scantable is returned.
|
---|
1342 | Otherwise, the scaling is done in-situ
|
---|
1343 | The default is taken from .asaprc (False)
|
---|
1344 | allaxes: if True apply to all spectra. Otherwise
|
---|
1345 | apply only to the selected (beam/pol/if)spectra only
|
---|
1346 | The default is taken from .asaprc (True if none)
|
---|
1347 | """
|
---|
1348 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1349 | if insitu is None: insitu = rcParams['insitu']
|
---|
1350 | varlist = vars()
|
---|
1351 | if not insitu:
|
---|
1352 | from asap._asap import add as _add
|
---|
1353 | s = scantable(_add(self, offset, allaxes))
|
---|
1354 | s._add_history("add",varlist)
|
---|
1355 | print_log()
|
---|
1356 | return s
|
---|
1357 | else:
|
---|
1358 | from asap._asap import add_insitu as _add
|
---|
1359 | _add(self, offset, allaxes)
|
---|
1360 | self._add_history("add",varlist)
|
---|
1361 | print_log()
|
---|
1362 | return
|
---|
1363 |
|
---|
1364 | def scale(self, factor, insitu=None, allaxes=None, tsys=True):
|
---|
1365 | """
|
---|
1366 | Return a scan where all spectra are scaled by the give 'factor'
|
---|
1367 | Parameters:
|
---|
1368 | factor: the scaling factor
|
---|
1369 | insitu: if False a new scantable is returned.
|
---|
1370 | Otherwise, the scaling is done in-situ
|
---|
1371 | The default is taken from .asaprc (False)
|
---|
1372 | allaxes: if True apply to all spectra. Otherwise
|
---|
1373 | apply only to the selected (beam/pol/if)spectra only.
|
---|
1374 | The default is taken from .asaprc (True if none)
|
---|
1375 | tsys: if True (default) then apply the operation to Tsys
|
---|
1376 | as well as the data
|
---|
1377 | """
|
---|
1378 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
1379 | if insitu is None: insitu = rcParams['insitu']
|
---|
1380 | varlist = vars()
|
---|
1381 | if not insitu:
|
---|
1382 | from asap._asap import scale as _scale
|
---|
1383 | s = scantable(_scale(self, factor, allaxes, tsys))
|
---|
1384 | s._add_history("scale",varlist)
|
---|
1385 | print_log()
|
---|
1386 | return s
|
---|
1387 | else:
|
---|
1388 | from asap._asap import scale_insitu as _scale
|
---|
1389 | _scale(self, factor, allaxes, tsys)
|
---|
1390 | self._add_history("scale",varlist)
|
---|
1391 | print_log()
|
---|
1392 | return
|
---|
1393 |
|
---|
1394 | def auto_quotient(self, mode='suffix', preserve=True):
|
---|
1395 | """
|
---|
1396 | This function allows to build quotients automatically.
|
---|
1397 | It assumes the observation to have the same numer of
|
---|
1398 | "ons" and "offs"
|
---|
1399 | It will support "closest off in time" in the future
|
---|
1400 | Parameters:
|
---|
1401 | mode: the on/off detection mode; 'suffix' (default)
|
---|
1402 | 'suffix' identifies 'off' scans by the
|
---|
1403 | trailing '_R' (Mopra/Parkes) or
|
---|
1404 | '_e'/'_w' (Tid)
|
---|
1405 | preserve: you can preserve (default) the continuum or
|
---|
1406 | remove it. The equations used are
|
---|
1407 | preserve: Output = Toff * (on/off) - Toff
|
---|
1408 | remove: Output = Tref * (on/off) - Ton
|
---|
1409 | """
|
---|
1410 | modes = ["suffix","time"]
|
---|
1411 | if not mode in modes:
|
---|
1412 | print "please provide valid mode. Valid modes are %s" % (modes)
|
---|
1413 | return None
|
---|
1414 | from asap._asap import quotient as _quot
|
---|
1415 | if mode == "suffix":
|
---|
1416 | srcs = self.get_scan("*[^_ewR]")
|
---|
1417 | refs = self.get_scan("*[_ewR]")
|
---|
1418 | if isinstance(srcs,scantable) and isinstance(refs,scantable):
|
---|
1419 | from asap import asaplog
|
---|
1420 | ns,nr = srcs.nrow(),refs.nrow()
|
---|
1421 | msg = "Found %i Off and %i On scans" % (ns,nr)
|
---|
1422 | asaplog.push(msg)
|
---|
1423 | if nr > ns:
|
---|
1424 | asaplog("Found more Off integrations than On scans - dropping excess Offs.")
|
---|
1425 | refs = refs.get_scan(range(ns))
|
---|
1426 | print_log()
|
---|
1427 | return scantable(_quot(srcs,refs, preserve))
|
---|
1428 | else:
|
---|
1429 | msg = "Couldn't find any on/off pairs"
|
---|
1430 | if rcParams['verbose']:
|
---|
1431 | print msg
|
---|
1432 | return
|
---|
1433 | else:
|
---|
1434 | raise RuntimeError()
|
---|
1435 | else:
|
---|
1436 | if rcParams['verbose']: print "not yet implemented"
|
---|
1437 | return None
|
---|
1438 |
|
---|
1439 | def quotient(self, other, isreference=True, preserve=True):
|
---|
1440 | """
|
---|
1441 | Return the quotient of a 'source' (on) scan and a 'reference' (off)
|
---|
1442 | scan.
|
---|
1443 | The reference can have just one row, even if the signal has many.
|
---|
1444 | Otherwise they must have the same number of rows.
|
---|
1445 | The cursor of the output scan is set to 0
|
---|
1446 | Parameters:
|
---|
1447 | other: the 'other' scan
|
---|
1448 | isreference: if the 'other' scan is the reference (default)
|
---|
1449 | or source
|
---|
1450 | preserve: you can preserve (default) the continuum or
|
---|
1451 | remove it. The equations used are
|
---|
1452 | preserve: Output = Toff * (on/off) - Toff
|
---|
1453 | remove: Output = Tref * (on/off) - Ton
|
---|
1454 | Example:
|
---|
1455 | # src is a scantable for an 'on' scan, ref for an 'off' scantable
|
---|
1456 | q1 = src.quotient(ref)
|
---|
1457 | q2 = ref.quotient(src, isreference=False)
|
---|
1458 | # gives the same result
|
---|
1459 | """
|
---|
1460 | from asap._asap import quotient as _quot
|
---|
1461 | try:
|
---|
1462 | s = None
|
---|
1463 | if isreference:
|
---|
1464 | s = scantable(_quot(self, other, preserve))
|
---|
1465 | else:
|
---|
1466 | s = scantable(_quot(other, self, preserve))
|
---|
1467 | print_log()
|
---|
1468 | return s
|
---|
1469 | except RuntimeError,e:
|
---|
1470 | if rcParams['verbose']:
|
---|
1471 | print e
|
---|
1472 | return
|
---|
1473 | else: raise
|
---|
1474 |
|
---|
1475 | def freq_switch(self, insitu=None):
|
---|
1476 | """
|
---|
1477 | Apply frequency switching to the data.
|
---|
1478 | Parameters:
|
---|
1479 | insitu: if False a new scantable is returned.
|
---|
1480 | Otherwise, the swictching is done in-situ
|
---|
1481 | The default is taken from .asaprc (False)
|
---|
1482 | Example:
|
---|
1483 | none
|
---|
1484 | """
|
---|
1485 | if insitu is None: insitu = rcParams['insitu']
|
---|
1486 | varlist = vars()
|
---|
1487 | try:
|
---|
1488 | if insitu:
|
---|
1489 | from asap._asap import _frequency_switch_insitu
|
---|
1490 | _frequency_switch_insitu(self)
|
---|
1491 | self._add_history("freq_switch", varlist)
|
---|
1492 | print_log()
|
---|
1493 | return
|
---|
1494 | else:
|
---|
1495 | from asap._asap import _frequency_switch
|
---|
1496 | sf = scantable(_frequency_switch(self))
|
---|
1497 | sf._add_history("freq_switch", varlist)
|
---|
1498 | print_log()
|
---|
1499 | return sf
|
---|
1500 | except RuntimeError,e:
|
---|
1501 | if rcParams['verbose']: print e
|
---|
1502 | else: raise
|
---|
1503 |
|
---|
1504 | def recalc_azel(self):
|
---|
1505 | """
|
---|
1506 | Recalculate the azimuth and elevation for each position.
|
---|
1507 | Parameters:
|
---|
1508 | none
|
---|
1509 | Example:
|
---|
1510 | """
|
---|
1511 | varlist = vars()
|
---|
1512 | self._recalc_azel()
|
---|
1513 | self._add_history("recalc_azel", varlist)
|
---|
1514 | print_log()
|
---|
1515 | return
|
---|
1516 |
|
---|
1517 | def __add__(self, other):
|
---|
1518 | varlist = vars()
|
---|
1519 | s = None
|
---|
1520 | if isinstance(other, scantable):
|
---|
1521 | from asap._asap import b_operate as _bop
|
---|
1522 | s = scantable(_bop(self, other, 'add', True))
|
---|
1523 | elif isinstance(other, float):
|
---|
1524 | from asap._asap import add as _add
|
---|
1525 | s = scantable(_add(self, other, True))
|
---|
1526 | else:
|
---|
1527 | raise TypeError("Other input is not a scantable or float value")
|
---|
1528 | s._add_history("operator +", varlist)
|
---|
1529 | print_log()
|
---|
1530 | return s
|
---|
1531 |
|
---|
1532 | def __sub__(self, other):
|
---|
1533 | """
|
---|
1534 | implicit on all axes and on Tsys
|
---|
1535 | """
|
---|
1536 | varlist = vars()
|
---|
1537 | s = None
|
---|
1538 | if isinstance(other, scantable):
|
---|
1539 | from asap._asap import b_operate as _bop
|
---|
1540 | s = scantable(_bop(self, other, 'sub', True))
|
---|
1541 | elif isinstance(other, float):
|
---|
1542 | from asap._asap import add as _add
|
---|
1543 | s = scantable(_add(self, -other, True))
|
---|
1544 | else:
|
---|
1545 | raise TypeError("Other input is not a scantable or float value")
|
---|
1546 | s._add_history("operator -", varlist)
|
---|
1547 | print_log()
|
---|
1548 | return s
|
---|
1549 |
|
---|
1550 | def __mul__(self, other):
|
---|
1551 | """
|
---|
1552 | implicit on all axes and on Tsys
|
---|
1553 | """
|
---|
1554 | varlist = vars()
|
---|
1555 | s = None
|
---|
1556 | if isinstance(other, scantable):
|
---|
1557 | from asap._asap import b_operate as _bop
|
---|
1558 | s = scantable(_bop(self, other, 'mul', True))
|
---|
1559 | elif isinstance(other, float):
|
---|
1560 | if other == 0.0:
|
---|
1561 | raise ZeroDivisionError("Dividing by zero is not recommended")
|
---|
1562 | from asap._asap import scale as _sca
|
---|
1563 | s = scantable(_sca(self, other, True))
|
---|
1564 | else:
|
---|
1565 | raise TypeError("Other input is not a scantable or float value")
|
---|
1566 | s._add_history("operator *", varlist)
|
---|
1567 | print_log()
|
---|
1568 | return s
|
---|
1569 |
|
---|
1570 |
|
---|
1571 | def __div__(self, other):
|
---|
1572 | """
|
---|
1573 | implicit on all axes and on Tsys
|
---|
1574 | """
|
---|
1575 | varlist = vars()
|
---|
1576 | s = None
|
---|
1577 | if isinstance(other, scantable):
|
---|
1578 | from asap._asap import b_operate as _bop
|
---|
1579 | s = scantable(_bop(self, other, 'div', True))
|
---|
1580 | elif isinstance(other, float):
|
---|
1581 | if other == 0.0:
|
---|
1582 | raise ZeroDivisionError("Dividing by zero is not recommended")
|
---|
1583 | from asap._asap import scale as _sca
|
---|
1584 | s = scantable(_sca(self, 1.0/other, True))
|
---|
1585 | else:
|
---|
1586 | raise TypeError("Other input is not a scantable or float value")
|
---|
1587 | s._add_history("operator /", varlist)
|
---|
1588 | print_log()
|
---|
1589 | return s
|
---|
1590 |
|
---|
1591 | def get_fit(self, row=0):
|
---|
1592 | """
|
---|
1593 | Print or return the stored fits for a row in the scantable
|
---|
1594 | Parameters:
|
---|
1595 | row: the row which the fit has been applied to.
|
---|
1596 | """
|
---|
1597 | if row > self.nrow():
|
---|
1598 | return
|
---|
1599 | from asap import asapfit
|
---|
1600 | fit = asapfit(self._getfit(row))
|
---|
1601 | if rcParams['verbose']:
|
---|
1602 | print fit
|
---|
1603 | return
|
---|
1604 | else:
|
---|
1605 | return fit.as_dict()
|
---|
1606 |
|
---|
1607 | def _add_history(self, funcname, parameters):
|
---|
1608 | # create date
|
---|
1609 | sep = "##"
|
---|
1610 | from datetime import datetime
|
---|
1611 | dstr = datetime.now().strftime('%Y/%m/%d %H:%M:%S')
|
---|
1612 | hist = dstr+sep
|
---|
1613 | hist += funcname+sep#cdate+sep
|
---|
1614 | if parameters.has_key('self'): del parameters['self']
|
---|
1615 | for k,v in parameters.iteritems():
|
---|
1616 | if type(v) is dict:
|
---|
1617 | for k2,v2 in v.iteritems():
|
---|
1618 | hist += k2
|
---|
1619 | hist += "="
|
---|
1620 | if isinstance(v2,scantable):
|
---|
1621 | hist += 'scantable'
|
---|
1622 | elif k2 == 'mask':
|
---|
1623 | if isinstance(v2,list) or isinstance(v2,tuple):
|
---|
1624 | hist += str(self._zip_mask(v2))
|
---|
1625 | else:
|
---|
1626 | hist += str(v2)
|
---|
1627 | else:
|
---|
1628 | hist += str(v2)
|
---|
1629 | else:
|
---|
1630 | hist += k
|
---|
1631 | hist += "="
|
---|
1632 | if isinstance(v,scantable):
|
---|
1633 | hist += 'scantable'
|
---|
1634 | elif k == 'mask':
|
---|
1635 | if isinstance(v,list) or isinstance(v,tuple):
|
---|
1636 | hist += str(self._zip_mask(v))
|
---|
1637 | else:
|
---|
1638 | hist += str(v)
|
---|
1639 | else:
|
---|
1640 | hist += str(v)
|
---|
1641 | hist += sep
|
---|
1642 | hist = hist[:-2] # remove trailing '##'
|
---|
1643 | self._addhistory(hist)
|
---|
1644 |
|
---|
1645 |
|
---|
1646 | def _zip_mask(self, mask):
|
---|
1647 | mask = list(mask)
|
---|
1648 | i = 0
|
---|
1649 | segments = []
|
---|
1650 | while mask[i:].count(1):
|
---|
1651 | i += mask[i:].index(1)
|
---|
1652 | if mask[i:].count(0):
|
---|
1653 | j = i + mask[i:].index(0)
|
---|
1654 | else:
|
---|
1655 | j = len(mask)
|
---|
1656 | segments.append([i,j])
|
---|
1657 | i = j
|
---|
1658 | return segments
|
---|
1659 |
|
---|
1660 | def _get_ordinate_label(self):
|
---|
1661 | fu = "("+self.get_fluxunit()+")"
|
---|
1662 | import re
|
---|
1663 | lbl = "Intensity"
|
---|
1664 | if re.match(".K.",fu):
|
---|
1665 | lbl = "Brightness Temperature "+ fu
|
---|
1666 | elif re.match(".Jy.",fu):
|
---|
1667 | lbl = "Flux density "+ fu
|
---|
1668 | return lbl
|
---|
1669 |
|
---|