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