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