| 1 | from asap._asap import Scantable
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| 2 | from asap import rcParams
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| 3 | from asap import print_log
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| 4 | from asap import asaplog
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| 5 | from asap import selector
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| 6 | from asap import NUM
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| 7 | from asap import linecatalog
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| 8 |
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| 9 | class scantable(Scantable):
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| 10 | """
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| 11 | The ASAP container for scans
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| 12 | """
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| 13 |
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| 14 | def __init__(self, filename, average=None, unit=None):
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| 15 | """
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| 16 | Create a scantable from a saved one or make a reference
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| 17 | Parameters:
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| 18 | filename: the name of an asap table on disk
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| 19 | or
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| 20 | the name of a rpfits/sdfits/ms file
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| 21 | (integrations within scans are auto averaged
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| 22 | and the whole file is read)
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| 23 | or
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| 24 | [advanced] a reference to an existing
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| 25 | scantable
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| 26 | average: average all integrations withinb a scan on read.
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| 27 | The default (True) is taken from .asaprc.
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| 28 | unit: brightness unit; must be consistent with K or Jy.
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| 29 | Over-rides the default selected by the reader
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| 30 | (input rpfits/sdfits/ms) or replaces the value
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| 31 | in existing scantables
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| 32 | """
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| 33 | if average is None:
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| 34 | average = rcParams['scantable.autoaverage']
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| 35 | #varlist = vars()
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| 36 | from asap._asap import stmath
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| 37 | self._math = stmath()
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| 38 | if isinstance(filename, Scantable):
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| 39 | Scantable.__init__(self, filename)
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| 40 | else:
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| 41 | if isinstance(filename, str):
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| 42 | import os.path
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| 43 | filename = os.path.expandvars(filename)
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| 44 | filename = os.path.expanduser(filename)
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| 45 | if not os.path.exists(filename):
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| 46 | s = "File '%s' not found." % (filename)
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| 47 | if rcParams['verbose']:
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| 48 | asaplog.push(s)
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| 49 | print asaplog.pop().strip()
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| 50 | return
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| 51 | raise IOError(s)
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| 52 | if os.path.isdir(filename) \
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| 53 | and not os.path.exists(filename+'/table.f1'):
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| 54 | # crude check if asap table
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| 55 | if os.path.exists(filename+'/table.info'):
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| 56 | ondisk = rcParams['scantable.storage'] == 'disk'
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| 57 | Scantable.__init__(self, filename, ondisk)
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| 58 | if unit is not None:
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| 59 | self.set_fluxunit(unit)
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| 60 | self.set_freqframe(rcParams['scantable.freqframe'])
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| 61 | else:
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| 62 | msg = "The given file '%s'is not a valid " \
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| 63 | "asap table." % (filename)
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| 64 | if rcParams['verbose']:
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| 65 | print msg
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| 66 | return
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| 67 | else:
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| 68 | raise IOError(msg)
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| 69 | else:
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| 70 | self._fill([filename], unit, average)
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| 71 | elif (isinstance(filename, list) or isinstance(filename, tuple)) \
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| 72 | and isinstance(filename[-1], str):
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| 73 | self._fill(filename, unit, average)
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| 74 | print_log()
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| 75 |
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| 76 | def save(self, name=None, format=None, overwrite=False):
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| 77 | """
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| 78 | Store the scantable on disk. This can be an asap (aips++) Table, SDFITS,
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| 79 | Image FITS or MS2 format.
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| 80 | Parameters:
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| 81 | name: the name of the outputfile. For format "ASCII"
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| 82 | this is the root file name (data in 'name'.txt
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| 83 | and header in 'name'_header.txt)
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| 84 | format: an optional file format. Default is ASAP.
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| 85 | Allowed are - 'ASAP' (save as ASAP [aips++] Table),
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| 86 | 'SDFITS' (save as SDFITS file)
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| 87 | 'ASCII' (saves as ascii text file)
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| 88 | 'MS2' (saves as an aips++
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| 89 | MeasurementSet V2)
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| 90 | overwrite: If the file should be overwritten if it exists.
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| 91 | The default False is to return with warning
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| 92 | without writing the output. USE WITH CARE.
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| 93 | Example:
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| 94 | scan.save('myscan.asap')
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| 95 | scan.save('myscan.sdfits', 'SDFITS')
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| 96 | """
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| 97 | from os import path
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| 98 | if format is None: format = rcParams['scantable.save']
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| 99 | suffix = '.'+format.lower()
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| 100 | if name is None or name == "":
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| 101 | name = 'scantable'+suffix
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| 102 | msg = "No filename given. Using default name %s..." % name
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| 103 | asaplog.push(msg)
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| 104 | name = path.expandvars(name)
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| 105 | if path.isfile(name) or path.isdir(name):
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| 106 | if not overwrite:
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| 107 | msg = "File %s exists." % name
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| 108 | if rcParams['verbose']:
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| 109 | print msg
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| 110 | return
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| 111 | else:
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| 112 | raise IOError(msg)
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| 113 | format2 = format.upper()
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| 114 | if format2 == 'ASAP':
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| 115 | self._save(name)
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| 116 | else:
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| 117 | from asap._asap import stwriter as stw
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| 118 | writer = stw(format2)
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| 119 | writer.write(self, name)
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| 120 | print_log()
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| 121 | return
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| 122 |
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| 123 | def copy(self):
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| 124 | """
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| 125 | Return a copy of this scantable.
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| 126 | Parameters:
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| 127 | none
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| 128 | Example:
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| 129 | copiedscan = scan.copy()
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| 130 | """
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| 131 | sd = scantable(Scantable._copy(self))
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| 132 | return sd
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| 133 |
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| 134 | def drop_scan(self, scanid=None):
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| 135 | """
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| 136 | Return a new scantable where the specified scan number(s) has(have)
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| 137 | been dropped.
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| 138 | Parameters:
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| 139 | scanid: a (list of) scan number(s)
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| 140 | """
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| 141 | from asap import _is_sequence_or_number as _is_valid
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| 142 | from asap import _to_list
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| 143 | from asap import unique
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| 144 | if not _is_valid(scanid):
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| 145 | if rcParams['verbose']:
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| 146 | print "Please specify a scanno to drop from the scantable"
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| 147 | return
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| 148 | else:
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| 149 | raise RuntimeError("No scan given")
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| 150 | try:
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| 151 | scanid = _to_list(scanid)
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| 152 | allscans = unique([ self.getscan(i) for i in range(self.nrow())])
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| 153 | for sid in scanid: allscans.remove(sid)
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| 154 | if len(allscans) == 0:
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| 155 | raise ValueError("Can't remove all scans")
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| 156 | except ValueError:
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| 157 | if rcParams['verbose']:
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| 158 | print "Couldn't find any match."
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| 159 | return
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| 160 | else: raise
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| 161 | try:
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| 162 | bsel = self.get_selection()
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| 163 | sel = selector()
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| 164 | sel.set_scans(allscans)
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| 165 | self.set_selection(bsel+sel)
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| 166 | scopy = self._copy()
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| 167 | self.set_selection(bsel)
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| 168 | return scantable(scopy)
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| 169 | except RuntimeError:
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| 170 | if rcParams['verbose']:
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| 171 | print "Couldn't find any match."
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| 172 | else:
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| 173 | raise
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| 174 |
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| 175 |
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| 176 | def get_scan(self, scanid=None):
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| 177 | """
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| 178 | Return a specific scan (by scanno) or collection of scans (by
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| 179 | source name) in a new scantable.
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| 180 | Parameters:
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| 181 | scanid: a (list of) scanno or a source name, unix-style
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| 182 | patterns are accepted for source name matching, e.g.
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| 183 | '*_R' gets all 'ref scans
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| 184 | Example:
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| 185 | # get all scans containing the source '323p459'
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| 186 | newscan = scan.get_scan('323p459')
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| 187 | # get all 'off' scans
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| 188 | refscans = scan.get_scan('*_R')
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| 189 | # get a susbset of scans by scanno (as listed in scan.summary())
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| 190 | newscan = scan.get_scan([0, 2, 7, 10])
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| 191 | """
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| 192 | if scanid is None:
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| 193 | if rcParams['verbose']:
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| 194 | print "Please specify a scan no or name to " \
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| 195 | "retrieve from the scantable"
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| 196 | return
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| 197 | else:
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| 198 | raise RuntimeError("No scan given")
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| 199 |
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| 200 | try:
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| 201 | bsel = self.get_selection()
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| 202 | sel = selector()
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| 203 | if type(scanid) is str:
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| 204 | sel.set_name(scanid)
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| 205 | self.set_selection(bsel+sel)
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| 206 | scopy = self._copy()
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| 207 | self.set_selection(bsel)
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| 208 | return scantable(scopy)
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| 209 | elif type(scanid) is int:
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| 210 | sel.set_scans([scanid])
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| 211 | self.set_selection(bsel+sel)
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| 212 | scopy = self._copy()
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| 213 | self.set_selection(bsel)
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| 214 | return scantable(scopy)
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| 215 | elif type(scanid) is list:
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| 216 | sel.set_scans(scanid)
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| 217 | self.set_selection(sel)
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| 218 | scopy = self._copy()
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| 219 | self.set_selection(bsel)
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| 220 | return scantable(scopy)
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| 221 | else:
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| 222 | msg = "Illegal scanid type, use 'int' or 'list' if ints."
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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 TypeError(msg)
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| 227 | except RuntimeError:
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| 228 | if rcParams['verbose']: print "Couldn't find any match."
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| 229 | else: raise
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| 230 |
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| 231 | def __str__(self):
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| 232 | return Scantable._summary(self, True)
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| 233 |
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| 234 | def summary(self, filename=None):
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| 235 | """
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| 236 | Print a summary of the contents of this scantable.
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| 237 | Parameters:
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| 238 | filename: the name of a file to write the putput to
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| 239 | Default - no file output
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| 240 | verbose: print extra info such as the frequency table
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| 241 | The default (False) is taken from .asaprc
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| 242 | """
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| 243 | info = Scantable._summary(self, True)
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| 244 | #if verbose is None: verbose = rcParams['scantable.verbosesummary']
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| 245 | if filename is not None:
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| 246 | if filename is "":
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| 247 | filename = 'scantable_summary.txt'
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| 248 | from os.path import expandvars, isdir
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| 249 | filename = expandvars(filename)
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| 250 | if not isdir(filename):
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| 251 | data = open(filename, 'w')
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| 252 | data.write(info)
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| 253 | data.close()
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| 254 | else:
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| 255 | msg = "Illegal file name '%s'." % (filename)
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| 256 | if rcParams['verbose']:
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| 257 | print msg
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| 258 | else:
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| 259 | raise IOError(msg)
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| 260 | if rcParams['verbose']:
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| 261 | try:
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| 262 | from IPython.genutils import page as pager
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| 263 | except ImportError:
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| 264 | from pydoc import pager
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| 265 | pager(info)
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| 266 | else:
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| 267 | return info
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| 268 |
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| 269 |
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| 270 | def get_selection(self):
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| 271 | """
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| 272 | Get the selection object currently set on this scantable.
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| 273 | Parameters:
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| 274 | none
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| 275 | Example:
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| 276 | sel = scan.get_selection()
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| 277 | sel.set_ifs(0) # select IF 0
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| 278 | scan.set_selection(sel) # apply modified selection
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| 279 | """
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| 280 | return selector(self._getselection())
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| 281 |
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| 282 | def set_selection(self, selection=selector()):
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| 283 | """
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| 284 | Select a subset of the data. All following operations on this scantable
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| 285 | are only applied to thi selection.
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| 286 | Parameters:
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| 287 | selection: a selector object (default unset the selection)
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| 288 | Examples:
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| 289 | sel = selector() # create a selection object
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| 290 | self.set_scans([0, 3]) # select SCANNO 0 and 3
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| 291 | scan.set_selection(sel) # set the selection
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| 292 | scan.summary() # will only print summary of scanno 0 an 3
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| 293 | scan.set_selection() # unset the selection
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| 294 | """
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| 295 | self._setselection(selection)
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| 296 |
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| 297 | def stats(self, stat='stddev', mask=None):
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| 298 | """
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| 299 | Determine the specified statistic of the current beam/if/pol
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| 300 | Takes a 'mask' as an optional parameter to specify which
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| 301 | channels should be excluded.
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| 302 | Parameters:
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| 303 | stat: 'min', 'max', 'sumsq', 'sum', 'mean'
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| 304 | 'var', 'stddev', 'avdev', 'rms', 'median'
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| 305 | mask: an optional mask specifying where the statistic
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| 306 | should be determined.
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| 307 | Example:
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| 308 | scan.set_unit('channel')
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| 309 | msk = scan.create_mask([100, 200], [500, 600])
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| 310 | scan.stats(stat='mean', mask=m)
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| 311 | """
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| 312 | if mask == None:
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| 313 | mask = []
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| 314 | axes = ['Beam', 'IF', 'Pol', 'Time']
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| 315 | if not self._check_ifs():
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| 316 | raise ValueError("Cannot apply mask as the IFs have different "
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| 317 | "number of channels. Please use setselection() "
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| 318 | "to select individual IFs")
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| 319 |
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| 320 | statvals = self._math._stats(self, mask, stat)
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| 321 | out = ''
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| 322 | axes = []
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| 323 | for i in range(self.nrow()):
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| 324 | axis = []
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| 325 | axis.append(self.getscan(i))
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| 326 | axis.append(self.getbeam(i))
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| 327 | axis.append(self.getif(i))
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| 328 | axis.append(self.getpol(i))
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| 329 | axis.append(self.getcycle(i))
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| 330 | axes.append(axis)
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| 331 | tm = self._gettime(i)
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| 332 | src = self._getsourcename(i)
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| 333 | out += 'Scan[%d] (%s) ' % (axis[0], src)
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| 334 | out += 'Time[%s]:\n' % (tm)
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| 335 | if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1])
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| 336 | if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2])
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| 337 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3])
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| 338 | out += '= %3.3f\n' % (statvals[i])
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| 339 | out += "--------------------------------------------------\n"
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| 340 |
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| 341 | if rcParams['verbose']:
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| 342 | print "--------------------------------------------------"
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| 343 | print " ", stat
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| 344 | print "--------------------------------------------------"
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| 345 | print out
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| 346 | retval = { 'axesnames': ['scanno', 'beamno', 'ifno', 'polno', 'cycleno'],
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| 347 | 'axes' : axes,
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| 348 | 'data': statvals}
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| 349 | return retval
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| 350 |
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| 351 | def stddev(self, mask=None):
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| 352 | """
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| 353 | Determine the standard deviation of the current beam/if/pol
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| 354 | Takes a 'mask' as an optional parameter to specify which
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| 355 | channels should be excluded.
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| 356 | Parameters:
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| 357 | mask: an optional mask specifying where the standard
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| 358 | deviation should be determined.
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| 359 |
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| 360 | Example:
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| 361 | scan.set_unit('channel')
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| 362 | msk = scan.create_mask([100, 200], [500, 600])
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| 363 | scan.stddev(mask=m)
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| 364 | """
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| 365 | return self.stats(stat='stddev', mask=mask);
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| 366 |
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| 367 |
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| 368 | def column_names(self):
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| 369 | """
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| 370 | Return a list of column names, which can be used for selection.
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| 371 | """
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| 372 | return list(Scantable.column_names(self))
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| 373 |
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| 374 | def get_tsys(self):
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| 375 | """
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| 376 | Return the System temperatures.
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| 377 | Parameters:
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| 378 |
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| 379 | Returns:
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| 380 | a list of Tsys values for the current selection
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| 381 | """
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| 382 |
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| 383 | return self._row_callback(self._gettsys, "Tsys")
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| 384 |
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| 385 | def _row_callback(self, callback, label):
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| 386 | axes = []
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| 387 | axesnames = ['scanno', 'beamno', 'ifno', 'polno', 'cycleno']
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| 388 | out = ""
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| 389 | outvec = []
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| 390 | for i in range(self.nrow()):
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| 391 | axis = []
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| 392 | axis.append(self.getscan(i))
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| 393 | axis.append(self.getbeam(i))
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| 394 | axis.append(self.getif(i))
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| 395 | axis.append(self.getpol(i))
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| 396 | axis.append(self.getcycle(i))
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| 397 | axes.append(axis)
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| 398 | tm = self._gettime(i)
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| 399 | src = self._getsourcename(i)
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| 400 | out += 'Scan[%d] (%s) ' % (axis[0], src)
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| 401 | out += 'Time[%s]:\n' % (tm)
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| 402 | if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1])
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| 403 | if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2])
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| 404 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3])
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| 405 | outvec.append(callback(i))
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| 406 | out += '= %3.3f\n' % (outvec[i])
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| 407 | out += "--------------------------------------------------\n"
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| 408 | if rcParams['verbose']:
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| 409 | print "--------------------------------------------------"
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| 410 | print " %s" % (label)
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| 411 | print "--------------------------------------------------"
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| 412 | print out
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| 413 | # disabled because the vector seems more useful
|
|---|
| 414 | #retval = {'axesnames': axesnames, 'axes': axes, 'data': outvec}
|
|---|
| 415 | return outvec
|
|---|
| 416 |
|
|---|
| 417 | def _get_column(self, callback, row=-1):
|
|---|
| 418 | """
|
|---|
| 419 | """
|
|---|
| 420 | if row == -1:
|
|---|
| 421 | return [callback(i) for i in range(self.nrow())]
|
|---|
| 422 | else:
|
|---|
| 423 | if 0 <= row < self.nrow():
|
|---|
| 424 | return callback(row)
|
|---|
| 425 |
|
|---|
| 426 |
|
|---|
| 427 | def get_time(self, row=-1):
|
|---|
| 428 | """
|
|---|
| 429 | Get a list of time stamps for the observations.
|
|---|
| 430 | Return a string for each integration in the scantable.
|
|---|
| 431 | Parameters:
|
|---|
| 432 | row: row no of integration. Default -1 return all rows
|
|---|
| 433 | Example:
|
|---|
| 434 | none
|
|---|
| 435 | """
|
|---|
| 436 | from time import strptime
|
|---|
| 437 | from datetime import datetime
|
|---|
| 438 | times = self._get_column(self._gettime, row)
|
|---|
| 439 | format = "%Y/%m/%d/%H:%M:%S"
|
|---|
| 440 | if isinstance(times, list):
|
|---|
| 441 | return [datetime(*strptime(i, format)[:6]) for i in times]
|
|---|
| 442 | else:
|
|---|
| 443 | return datetime(*strptime(times, format)[:6])
|
|---|
| 444 |
|
|---|
| 445 | def get_sourcename(self, row=-1):
|
|---|
| 446 | """
|
|---|
| 447 | Get a list source names for the observations.
|
|---|
| 448 | Return a string for each integration in the scantable.
|
|---|
| 449 | Parameters:
|
|---|
| 450 | row: row no of integration. Default -1 return all rows
|
|---|
| 451 | Example:
|
|---|
| 452 | none
|
|---|
| 453 | """
|
|---|
| 454 | return self._get_column(self._getsourcename, row)
|
|---|
| 455 |
|
|---|
| 456 | def get_elevation(self, row=-1):
|
|---|
| 457 | """
|
|---|
| 458 | Get a list of elevations for the observations.
|
|---|
| 459 | Return a float for each integration in the scantable.
|
|---|
| 460 | Parameters:
|
|---|
| 461 | row: row no of integration. Default -1 return all rows
|
|---|
| 462 | Example:
|
|---|
| 463 | none
|
|---|
| 464 | """
|
|---|
| 465 | return self._get_column(self._getelevation, row)
|
|---|
| 466 |
|
|---|
| 467 | def get_azimuth(self, row=-1):
|
|---|
| 468 | """
|
|---|
| 469 | Get a list of azimuths for the observations.
|
|---|
| 470 | Return a float for each integration in the scantable.
|
|---|
| 471 | Parameters:
|
|---|
| 472 | row: row no of integration. Default -1 return all rows
|
|---|
| 473 | Example:
|
|---|
| 474 | none
|
|---|
| 475 | """
|
|---|
| 476 | return self._get_column(self._getazimuth, row)
|
|---|
| 477 |
|
|---|
| 478 | def get_parangle(self, row=-1):
|
|---|
| 479 | """
|
|---|
| 480 | Get a list of parallactic angles for the observations.
|
|---|
| 481 | Return a float for each integration in the scantable.
|
|---|
| 482 | Parameters:
|
|---|
| 483 | row: row no of integration. Default -1 return all rows
|
|---|
| 484 | Example:
|
|---|
| 485 | none
|
|---|
| 486 | """
|
|---|
| 487 | return self._get_column(self._getparangle, row)
|
|---|
| 488 |
|
|---|
| 489 | def get_direction(self, row=-1):
|
|---|
| 490 | """
|
|---|
| 491 | Get a list of Positions on the sky (direction) for the observations.
|
|---|
| 492 | Return a float for each integration in the scantable.
|
|---|
| 493 | Parameters:
|
|---|
| 494 | row: row no of integration. Default -1 return all rows
|
|---|
| 495 | Example:
|
|---|
| 496 | none
|
|---|
| 497 | """
|
|---|
| 498 | return self._get_column(self._getdirection, row)
|
|---|
| 499 |
|
|---|
| 500 | def set_unit(self, unit='channel'):
|
|---|
| 501 | """
|
|---|
| 502 | Set the unit for all following operations on this scantable
|
|---|
| 503 | Parameters:
|
|---|
| 504 | unit: optional unit, default is 'channel'
|
|---|
| 505 | one of '*Hz', 'km/s', 'channel', ''
|
|---|
| 506 | """
|
|---|
| 507 | varlist = vars()
|
|---|
| 508 | if unit in ['', 'pixel', 'channel']:
|
|---|
| 509 | unit = ''
|
|---|
| 510 | inf = list(self._getcoordinfo())
|
|---|
| 511 | inf[0] = unit
|
|---|
| 512 | self._setcoordinfo(inf)
|
|---|
| 513 | self._add_history("set_unit", varlist)
|
|---|
| 514 |
|
|---|
| 515 | def set_instrument(self, instr):
|
|---|
| 516 | """
|
|---|
| 517 | Set the instrument for subsequent processing
|
|---|
| 518 | Parameters:
|
|---|
| 519 | instr: Select from 'ATPKSMB', 'ATPKSHOH', 'ATMOPRA',
|
|---|
| 520 | 'DSS-43' (Tid), 'CEDUNA', and 'HOBART'
|
|---|
| 521 | """
|
|---|
| 522 | self._setInstrument(instr)
|
|---|
| 523 | self._add_history("set_instument", vars())
|
|---|
| 524 | print_log()
|
|---|
| 525 |
|
|---|
| 526 | def set_feedtype(self, feedtype):
|
|---|
| 527 | """
|
|---|
| 528 | Overwrite the feed type, which might not be set correctly.
|
|---|
| 529 | Parameters:
|
|---|
| 530 | feedtype: 'linear' or 'circular'
|
|---|
| 531 | """
|
|---|
| 532 | self._setfeedtype(feedtype)
|
|---|
| 533 | self._add_history("set_feedtype", vars())
|
|---|
| 534 | print_log()
|
|---|
| 535 |
|
|---|
| 536 | def set_doppler(self, doppler='RADIO'):
|
|---|
| 537 | """
|
|---|
| 538 | Set the doppler for all following operations on this scantable.
|
|---|
| 539 | Parameters:
|
|---|
| 540 | doppler: One of 'RADIO', 'OPTICAL', 'Z', 'BETA', 'GAMMA'
|
|---|
| 541 | """
|
|---|
| 542 | varlist = vars()
|
|---|
| 543 | inf = list(self._getcoordinfo())
|
|---|
| 544 | inf[2] = doppler
|
|---|
| 545 | self._setcoordinfo(inf)
|
|---|
| 546 | self._add_history("set_doppler", vars())
|
|---|
| 547 | print_log()
|
|---|
| 548 |
|
|---|
| 549 | def set_freqframe(self, frame=None):
|
|---|
| 550 | """
|
|---|
| 551 | Set the frame type of the Spectral Axis.
|
|---|
| 552 | Parameters:
|
|---|
| 553 | frame: an optional frame type, default 'LSRK'. Valid frames are:
|
|---|
| 554 | 'REST', 'TOPO', 'LSRD', 'LSRK', 'BARY',
|
|---|
| 555 | 'GEO', 'GALACTO', 'LGROUP', 'CMB'
|
|---|
| 556 | Examples:
|
|---|
| 557 | scan.set_freqframe('BARY')
|
|---|
| 558 | """
|
|---|
| 559 | if frame is None: frame = rcParams['scantable.freqframe']
|
|---|
| 560 | varlist = vars()
|
|---|
| 561 | valid = ['REST', 'TOPO', 'LSRD', 'LSRK', 'BARY', \
|
|---|
| 562 | 'GEO', 'GALACTO', 'LGROUP', 'CMB']
|
|---|
| 563 |
|
|---|
| 564 | if frame in valid:
|
|---|
| 565 | inf = list(self._getcoordinfo())
|
|---|
| 566 | inf[1] = frame
|
|---|
| 567 | self._setcoordinfo(inf)
|
|---|
| 568 | self._add_history("set_freqframe", varlist)
|
|---|
| 569 | else:
|
|---|
| 570 | msg = "Please specify a valid freq type. Valid types are:\n", valid
|
|---|
| 571 | if rcParams['verbose']:
|
|---|
| 572 | print msg
|
|---|
| 573 | else:
|
|---|
| 574 | raise TypeError(msg)
|
|---|
| 575 | print_log()
|
|---|
| 576 |
|
|---|
| 577 | def set_dirframe(self, frame=""):
|
|---|
| 578 | """
|
|---|
| 579 | Set the frame type of the Direction on the sky.
|
|---|
| 580 | Parameters:
|
|---|
| 581 | frame: an optional frame type, default ''. Valid frames are:
|
|---|
| 582 | 'J2000', 'B1950', 'GALACTIC'
|
|---|
| 583 | Examples:
|
|---|
| 584 | scan.set_dirframe('GALACTIC')
|
|---|
| 585 | """
|
|---|
| 586 | varlist = vars()
|
|---|
| 587 | try:
|
|---|
| 588 | Scantable.set_dirframe(self, frame)
|
|---|
| 589 | except RuntimeError, msg:
|
|---|
| 590 | if rcParams['verbose']:
|
|---|
| 591 | print msg
|
|---|
| 592 | else:
|
|---|
| 593 | raise
|
|---|
| 594 | self._add_history("set_dirframe", varlist)
|
|---|
| 595 |
|
|---|
| 596 | def get_unit(self):
|
|---|
| 597 | """
|
|---|
| 598 | Get the default unit set in this scantable
|
|---|
| 599 | Parameters:
|
|---|
| 600 | Returns:
|
|---|
| 601 | A unit string
|
|---|
| 602 | """
|
|---|
| 603 | inf = self._getcoordinfo()
|
|---|
| 604 | unit = inf[0]
|
|---|
| 605 | if unit == '': unit = 'channel'
|
|---|
| 606 | return unit
|
|---|
| 607 |
|
|---|
| 608 | def get_abcissa(self, rowno=0):
|
|---|
| 609 | """
|
|---|
| 610 | Get the abcissa in the current coordinate setup for the currently
|
|---|
| 611 | selected Beam/IF/Pol
|
|---|
| 612 | Parameters:
|
|---|
| 613 | rowno: an optional row number in the scantable. Default is the
|
|---|
| 614 | first row, i.e. rowno=0
|
|---|
| 615 | Returns:
|
|---|
| 616 | The abcissa values and it's format string (as a dictionary)
|
|---|
| 617 | """
|
|---|
| 618 | abc = self._getabcissa(rowno)
|
|---|
| 619 | lbl = self._getabcissalabel(rowno)
|
|---|
| 620 | print_log()
|
|---|
| 621 | return abc, lbl
|
|---|
| 622 |
|
|---|
| 623 | def flag(self, mask=None):
|
|---|
| 624 | """
|
|---|
| 625 | Flag the selected data using an optional channel mask.
|
|---|
| 626 | Parameters:
|
|---|
| 627 | mask: an optional channel mask, created with create_mask. Default
|
|---|
| 628 | (no mask) is all channels.
|
|---|
| 629 | """
|
|---|
| 630 | varlist = vars()
|
|---|
| 631 | if mask is None:
|
|---|
| 632 | mask = []
|
|---|
| 633 | try:
|
|---|
| 634 | self._flag(mask)
|
|---|
| 635 | except RuntimeError, msg:
|
|---|
| 636 | if rcParams['verbose']:
|
|---|
| 637 | print msg
|
|---|
| 638 | return
|
|---|
| 639 | else: raise
|
|---|
| 640 | self._add_history("flag", varlist)
|
|---|
| 641 |
|
|---|
| 642 |
|
|---|
| 643 | def create_mask(self, *args, **kwargs):
|
|---|
| 644 | """
|
|---|
| 645 | Compute and return a mask based on [min, max] windows.
|
|---|
| 646 | The specified windows are to be INCLUDED, when the mask is
|
|---|
| 647 | applied.
|
|---|
| 648 | Parameters:
|
|---|
| 649 | [min, max], [min2, max2], ...
|
|---|
| 650 | Pairs of start/end points (inclusive)specifying the regions
|
|---|
| 651 | to be masked
|
|---|
| 652 | invert: optional argument. If specified as True,
|
|---|
| 653 | return an inverted mask, i.e. the regions
|
|---|
| 654 | specified are EXCLUDED
|
|---|
| 655 | row: create the mask using the specified row for
|
|---|
| 656 | unit conversions, default is row=0
|
|---|
| 657 | only necessary if frequency varies over rows.
|
|---|
| 658 | Example:
|
|---|
| 659 | scan.set_unit('channel')
|
|---|
| 660 | a)
|
|---|
| 661 | msk = scan.create_mask([400, 500], [800, 900])
|
|---|
| 662 | # masks everything outside 400 and 500
|
|---|
| 663 | # and 800 and 900 in the unit 'channel'
|
|---|
| 664 |
|
|---|
| 665 | b)
|
|---|
| 666 | msk = scan.create_mask([400, 500], [800, 900], invert=True)
|
|---|
| 667 | # masks the regions between 400 and 500
|
|---|
| 668 | # and 800 and 900 in the unit 'channel'
|
|---|
| 669 | c)
|
|---|
| 670 | mask only channel 400
|
|---|
| 671 | msk = scan.create_mask([400, 400])
|
|---|
| 672 | """
|
|---|
| 673 | row = 0
|
|---|
| 674 | if kwargs.has_key("row"):
|
|---|
| 675 | row = kwargs.get("row")
|
|---|
| 676 | data = self._getabcissa(row)
|
|---|
| 677 | u = self._getcoordinfo()[0]
|
|---|
| 678 | if rcParams['verbose']:
|
|---|
| 679 | if u == "": u = "channel"
|
|---|
| 680 | msg = "The current mask window unit is %s" % u
|
|---|
| 681 | i = self._check_ifs()
|
|---|
| 682 | if not i:
|
|---|
| 683 | msg += "\nThis mask is only valid for IF=%d" % (self.getif(i))
|
|---|
| 684 | asaplog.push(msg)
|
|---|
| 685 | n = self.nchan()
|
|---|
| 686 | msk = NUM.zeros(n)
|
|---|
| 687 | # test if args is a 'list' or a 'normal *args - UGLY!!!
|
|---|
| 688 |
|
|---|
| 689 | ws = (isinstance(args[-1][-1], int) or isinstance(args[-1][-1], float)) \
|
|---|
| 690 | and args or args[0]
|
|---|
| 691 | for window in ws:
|
|---|
| 692 | if (len(window) != 2 or window[0] > window[1] ):
|
|---|
| 693 | raise TypeError("A window needs to be defined as [min, max]")
|
|---|
| 694 | for i in range(n):
|
|---|
| 695 | if data[i] >= window[0] and data[i] <= window[1]:
|
|---|
| 696 | msk[i] = 1
|
|---|
| 697 | if kwargs.has_key('invert'):
|
|---|
| 698 | if kwargs.get('invert'):
|
|---|
| 699 | msk = NUM.logical_not(msk)
|
|---|
| 700 | print_log()
|
|---|
| 701 | return msk
|
|---|
| 702 |
|
|---|
| 703 | def get_restfreqs(self):
|
|---|
| 704 | """
|
|---|
| 705 | Get the restfrequency(s) stored in this scantable.
|
|---|
| 706 | The return value(s) are always of unit 'Hz'
|
|---|
| 707 | Parameters:
|
|---|
| 708 | none
|
|---|
| 709 | Returns:
|
|---|
| 710 | a list of doubles
|
|---|
| 711 | """
|
|---|
| 712 | return list(self._getrestfreqs())
|
|---|
| 713 |
|
|---|
| 714 |
|
|---|
| 715 | def set_restfreqs(self, freqs=None, unit='Hz'):
|
|---|
| 716 | """
|
|---|
| 717 | Set or replace the restfrequency specified and
|
|---|
| 718 | If the 'freqs' argument holds a scalar,
|
|---|
| 719 | then that rest frequency will be applied to all the selected
|
|---|
| 720 | data. If the 'freqs' argument holds
|
|---|
| 721 | a vector, then it MUST be of equal or smaller length than
|
|---|
| 722 | the number of IFs (and the available restfrequencies will be
|
|---|
| 723 | replaced by this vector). In this case, *all* data have
|
|---|
| 724 | the restfrequency set per IF according
|
|---|
| 725 | to the corresponding value you give in the 'freqs' vector.
|
|---|
| 726 | E.g. 'freqs=[1e9, 2e9]' would mean IF 0 gets restfreq 1e9 and
|
|---|
| 727 | IF 1 gets restfreq 2e9.
|
|---|
| 728 | You can also specify the frequencies via a linecatalog/
|
|---|
| 729 |
|
|---|
| 730 | Parameters:
|
|---|
| 731 | freqs: list of rest frequency values or string idenitfiers
|
|---|
| 732 | unit: unit for rest frequency (default 'Hz')
|
|---|
| 733 |
|
|---|
| 734 | Example:
|
|---|
| 735 | # set the given restfrequency for the whole table
|
|---|
| 736 | scan.set_restfreqs(freqs=1.4e9)
|
|---|
| 737 | # If thee number of IFs in the data is >= 2 the IF0 gets the first
|
|---|
| 738 | # value IF1 the second...
|
|---|
| 739 | scan.set_restfreqs(freqs=[1.4e9, 1.67e9])
|
|---|
| 740 | #set the given restfrequency for the whole table (by name)
|
|---|
| 741 | scan.set_restfreqs(freqs="OH1667")
|
|---|
| 742 |
|
|---|
| 743 | Note:
|
|---|
| 744 | To do more sophisticate Restfrequency setting, e.g. on a
|
|---|
| 745 | source and IF basis, use scantable.set_selection() before using
|
|---|
| 746 | this function.
|
|---|
| 747 | # provide your scantable is call scan
|
|---|
| 748 | selection = selector()
|
|---|
| 749 | selection.set_name("ORION*")
|
|---|
| 750 | selection.set_ifs([1])
|
|---|
| 751 | scan.set_selection(selection)
|
|---|
| 752 | scan.set_restfreqs(freqs=86.6e9)
|
|---|
| 753 |
|
|---|
| 754 | """
|
|---|
| 755 | varlist = vars()
|
|---|
| 756 | from asap import linecatalog
|
|---|
| 757 | # simple value
|
|---|
| 758 | if isinstance(freqs, int) or isinstance(freqs, float):
|
|---|
| 759 | self._setrestfreqs(freqs, "",unit)
|
|---|
| 760 | # list of values
|
|---|
| 761 | elif isinstance(freqs, list) or isinstance(freqs, tuple):
|
|---|
| 762 | # list values are scalars
|
|---|
| 763 | if isinstance(freqs[-1], int) or isinstance(freqs[-1], float):
|
|---|
| 764 | sel = selector()
|
|---|
| 765 | savesel = self._getselection()
|
|---|
| 766 | for i in xrange(len(freqs)):
|
|---|
| 767 | sel.set_ifs([i])
|
|---|
| 768 | self._setselection(sel)
|
|---|
| 769 | self._setrestfreqs(freqs[i], "",unit)
|
|---|
| 770 | self._setselection(savesel)
|
|---|
| 771 | # list values are tuples, (value, name)
|
|---|
| 772 | elif isinstance(freqs[-1], dict):
|
|---|
| 773 | sel = selector()
|
|---|
| 774 | savesel = self._getselection()
|
|---|
| 775 | for i in xrange(len(freqs)):
|
|---|
| 776 | sel.set_ifs([i])
|
|---|
| 777 | self._setrestfreqs(freqs[i]["value"],
|
|---|
| 778 | freqs[i]["name"], "MHz")
|
|---|
| 779 | self._setselection(sel)
|
|---|
| 780 | self._setselection(savesel)
|
|---|
| 781 | # freqs are to be taken from a linecatalog
|
|---|
| 782 | elif isinstance(freqs, linecatalog):
|
|---|
| 783 | sel = selector()
|
|---|
| 784 | savesel = self._getselection()
|
|---|
| 785 | for i in xrange(freqs.nrow()):
|
|---|
| 786 | sel.set_ifs([i])
|
|---|
| 787 | self._setselection(sel)
|
|---|
| 788 | self._setrestfreqs(freqs.get_frequency(i),
|
|---|
| 789 | freqs.get_name(i), "MHz")
|
|---|
| 790 | # ensure that we are not iterating past nIF
|
|---|
| 791 | if i == self.nif()-1: break
|
|---|
| 792 | self._setselection(savesel)
|
|---|
| 793 | else:
|
|---|
| 794 | return
|
|---|
| 795 | self._add_history("set_restfreqs", varlist)
|
|---|
| 796 |
|
|---|
| 797 |
|
|---|
| 798 |
|
|---|
| 799 | def history(self):
|
|---|
| 800 | hist = list(self._gethistory())
|
|---|
| 801 | out = "-"*80
|
|---|
| 802 | for h in hist:
|
|---|
| 803 | if h.startswith("---"):
|
|---|
| 804 | out += "\n"+h
|
|---|
| 805 | else:
|
|---|
| 806 | items = h.split("##")
|
|---|
| 807 | date = items[0]
|
|---|
| 808 | func = items[1]
|
|---|
| 809 | items = items[2:]
|
|---|
| 810 | out += "\n"+date+"\n"
|
|---|
| 811 | out += "Function: %s\n Parameters:" % (func)
|
|---|
| 812 | for i in items:
|
|---|
| 813 | s = i.split("=")
|
|---|
| 814 | out += "\n %s = %s" % (s[0], s[1])
|
|---|
| 815 | out += "\n"+"-"*80
|
|---|
| 816 | try:
|
|---|
| 817 | from IPython.genutils import page as pager
|
|---|
| 818 | except ImportError:
|
|---|
| 819 | from pydoc import pager
|
|---|
| 820 | pager(out)
|
|---|
| 821 | return
|
|---|
| 822 |
|
|---|
| 823 | #
|
|---|
| 824 | # Maths business
|
|---|
| 825 | #
|
|---|
| 826 |
|
|---|
| 827 | def average_time(self, mask=None, scanav=False, weight='tint', align=False):
|
|---|
| 828 | """
|
|---|
| 829 | Return the (time) weighted average of a scan.
|
|---|
| 830 | Note:
|
|---|
| 831 | in channels only - align if necessary
|
|---|
| 832 | Parameters:
|
|---|
| 833 | mask: an optional mask (only used for 'var' and 'tsys'
|
|---|
| 834 | weighting)
|
|---|
| 835 | scanav: True averages each scan separately
|
|---|
| 836 | False (default) averages all scans together,
|
|---|
| 837 | weight: Weighting scheme.
|
|---|
| 838 | 'none' (mean no weight)
|
|---|
| 839 | 'var' (1/var(spec) weighted)
|
|---|
| 840 | 'tsys' (1/Tsys**2 weighted)
|
|---|
| 841 | 'tint' (integration time weighted)
|
|---|
| 842 | 'tintsys' (Tint/Tsys**2)
|
|---|
| 843 | 'median' ( median averaging)
|
|---|
| 844 | The default is 'tint'
|
|---|
| 845 | align: align the spectra in velocity before averaging. It takes
|
|---|
| 846 | the time of the first spectrum as reference time.
|
|---|
| 847 | Example:
|
|---|
| 848 | # time average the scantable without using a mask
|
|---|
| 849 | newscan = scan.average_time()
|
|---|
| 850 | """
|
|---|
| 851 | varlist = vars()
|
|---|
| 852 | if weight is None: weight = 'TINT'
|
|---|
| 853 | if mask is None: mask = ()
|
|---|
| 854 | if scanav: scanav = "SCAN"
|
|---|
| 855 | else: scanav = "NONE"
|
|---|
| 856 | scan = (self, )
|
|---|
| 857 | try:
|
|---|
| 858 | if align:
|
|---|
| 859 | scan = (self.freq_align(insitu=False), )
|
|---|
| 860 | s = None
|
|---|
| 861 | if weight.upper() == 'MEDIAN':
|
|---|
| 862 | s = scantable(self._math._averagechannel(scan[0], 'MEDIAN',
|
|---|
| 863 | scanav))
|
|---|
| 864 | else:
|
|---|
| 865 | s = scantable(self._math._average(scan, mask, weight.upper(),
|
|---|
| 866 | scanav))
|
|---|
| 867 | except RuntimeError, msg:
|
|---|
| 868 | if rcParams['verbose']:
|
|---|
| 869 | print msg
|
|---|
| 870 | return
|
|---|
| 871 | else: raise
|
|---|
| 872 | s._add_history("average_time", varlist)
|
|---|
| 873 | print_log()
|
|---|
| 874 | return s
|
|---|
| 875 |
|
|---|
| 876 | def convert_flux(self, jyperk=None, eta=None, d=None, insitu=None):
|
|---|
| 877 | """
|
|---|
| 878 | Return a scan where all spectra are converted to either
|
|---|
| 879 | Jansky or Kelvin depending upon the flux units of the scan table.
|
|---|
| 880 | By default the function tries to look the values up internally.
|
|---|
| 881 | If it can't find them (or if you want to over-ride), you must
|
|---|
| 882 | specify EITHER jyperk OR eta (and D which it will try to look up
|
|---|
| 883 | also if you don't set it). jyperk takes precedence if you set both.
|
|---|
| 884 | Parameters:
|
|---|
| 885 | jyperk: the Jy / K conversion factor
|
|---|
| 886 | eta: the aperture efficiency
|
|---|
| 887 | d: the geomtric diameter (metres)
|
|---|
| 888 | insitu: if False a new scantable is returned.
|
|---|
| 889 | Otherwise, the scaling is done in-situ
|
|---|
| 890 | The default is taken from .asaprc (False)
|
|---|
| 891 | allaxes: if True apply to all spectra. Otherwise
|
|---|
| 892 | apply only to the selected (beam/pol/if)spectra only
|
|---|
| 893 | The default is taken from .asaprc (True if none)
|
|---|
| 894 | """
|
|---|
| 895 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 896 | self._math._setinsitu(insitu)
|
|---|
| 897 | varlist = vars()
|
|---|
| 898 | if jyperk is None: jyperk = -1.0
|
|---|
| 899 | if d is None: d = -1.0
|
|---|
| 900 | if eta is None: eta = -1.0
|
|---|
| 901 | s = scantable(self._math._convertflux(self, d, eta, jyperk))
|
|---|
| 902 | s._add_history("convert_flux", varlist)
|
|---|
| 903 | print_log()
|
|---|
| 904 | if insitu: self._assign(s)
|
|---|
| 905 | else: return s
|
|---|
| 906 |
|
|---|
| 907 | def gain_el(self, poly=None, filename="", method="linear", insitu=None):
|
|---|
| 908 | """
|
|---|
| 909 | Return a scan after applying a gain-elevation correction.
|
|---|
| 910 | The correction can be made via either a polynomial or a
|
|---|
| 911 | table-based interpolation (and extrapolation if necessary).
|
|---|
| 912 | You specify polynomial coefficients, an ascii table or neither.
|
|---|
| 913 | If you specify neither, then a polynomial correction will be made
|
|---|
| 914 | with built in coefficients known for certain telescopes (an error
|
|---|
| 915 | will occur if the instrument is not known).
|
|---|
| 916 | The data and Tsys are *divided* by the scaling factors.
|
|---|
| 917 | Parameters:
|
|---|
| 918 | poly: Polynomial coefficients (default None) to compute a
|
|---|
| 919 | gain-elevation correction as a function of
|
|---|
| 920 | elevation (in degrees).
|
|---|
| 921 | filename: The name of an ascii file holding correction factors.
|
|---|
| 922 | The first row of the ascii file must give the column
|
|---|
| 923 | names and these MUST include columns
|
|---|
| 924 | "ELEVATION" (degrees) and "FACTOR" (multiply data
|
|---|
| 925 | by this) somewhere.
|
|---|
| 926 | The second row must give the data type of the
|
|---|
| 927 | column. Use 'R' for Real and 'I' for Integer.
|
|---|
| 928 | An example file would be
|
|---|
| 929 | (actual factors are arbitrary) :
|
|---|
| 930 |
|
|---|
| 931 | TIME ELEVATION FACTOR
|
|---|
| 932 | R R R
|
|---|
| 933 | 0.1 0 0.8
|
|---|
| 934 | 0.2 20 0.85
|
|---|
| 935 | 0.3 40 0.9
|
|---|
| 936 | 0.4 60 0.85
|
|---|
| 937 | 0.5 80 0.8
|
|---|
| 938 | 0.6 90 0.75
|
|---|
| 939 | method: Interpolation method when correcting from a table.
|
|---|
| 940 | Values are "nearest", "linear" (default), "cubic"
|
|---|
| 941 | and "spline"
|
|---|
| 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 |
|
|---|
| 947 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 948 | self._math._setinsitu(insitu)
|
|---|
| 949 | varlist = vars()
|
|---|
| 950 | if poly is None:
|
|---|
| 951 | poly = ()
|
|---|
| 952 | from os.path import expandvars
|
|---|
| 953 | filename = expandvars(filename)
|
|---|
| 954 | s = scantable(self._math._gainel(self, poly, filename, method))
|
|---|
| 955 | s._add_history("gain_el", varlist)
|
|---|
| 956 | print_log()
|
|---|
| 957 | if insitu: self._assign(s)
|
|---|
| 958 | else: return s
|
|---|
| 959 |
|
|---|
| 960 | def freq_align(self, reftime=None, method='cubic', insitu=None):
|
|---|
| 961 | """
|
|---|
| 962 | Return a scan where all rows have been aligned in frequency/velocity.
|
|---|
| 963 | The alignment frequency frame (e.g. LSRK) is that set by function
|
|---|
| 964 | set_freqframe.
|
|---|
| 965 | Parameters:
|
|---|
| 966 | reftime: reference time to align at. By default, the time of
|
|---|
| 967 | the first row of data is used.
|
|---|
| 968 | method: Interpolation method for regridding the spectra.
|
|---|
| 969 | Choose from "nearest", "linear", "cubic" (default)
|
|---|
| 970 | and "spline"
|
|---|
| 971 | insitu: if False a new scantable is returned.
|
|---|
| 972 | Otherwise, the scaling is done in-situ
|
|---|
| 973 | The default is taken from .asaprc (False)
|
|---|
| 974 | """
|
|---|
| 975 | if insitu is None: insitu = rcParams["insitu"]
|
|---|
| 976 | self._math._setinsitu(insitu)
|
|---|
| 977 | varlist = vars()
|
|---|
| 978 | if reftime is None: reftime = ""
|
|---|
| 979 | s = scantable(self._math._freq_align(self, reftime, method))
|
|---|
| 980 | s._add_history("freq_align", varlist)
|
|---|
| 981 | print_log()
|
|---|
| 982 | if insitu: self._assign(s)
|
|---|
| 983 | else: return s
|
|---|
| 984 |
|
|---|
| 985 | def opacity(self, tau, insitu=None):
|
|---|
| 986 | """
|
|---|
| 987 | Apply an opacity correction. The data
|
|---|
| 988 | and Tsys are multiplied by the correction factor.
|
|---|
| 989 | Parameters:
|
|---|
| 990 | tau: Opacity from which the correction factor is
|
|---|
| 991 | exp(tau*ZD)
|
|---|
| 992 | where ZD is the zenith-distance
|
|---|
| 993 | insitu: if False a new scantable is returned.
|
|---|
| 994 | Otherwise, the scaling is done in-situ
|
|---|
| 995 | The default is taken from .asaprc (False)
|
|---|
| 996 | """
|
|---|
| 997 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 998 | self._math._setinsitu(insitu)
|
|---|
| 999 | varlist = vars()
|
|---|
| 1000 | s = scantable(self._math._opacity(self, tau))
|
|---|
| 1001 | s._add_history("opacity", varlist)
|
|---|
| 1002 | print_log()
|
|---|
| 1003 | if insitu: self._assign(s)
|
|---|
| 1004 | else: return s
|
|---|
| 1005 |
|
|---|
| 1006 | def bin(self, width=5, insitu=None):
|
|---|
| 1007 | """
|
|---|
| 1008 | Return a scan where all spectra have been binned up.
|
|---|
| 1009 | width: The bin width (default=5) in pixels
|
|---|
| 1010 | insitu: if False a new scantable is returned.
|
|---|
| 1011 | Otherwise, the scaling is done in-situ
|
|---|
| 1012 | The default is taken from .asaprc (False)
|
|---|
| 1013 | """
|
|---|
| 1014 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1015 | self._math._setinsitu(insitu)
|
|---|
| 1016 | varlist = vars()
|
|---|
| 1017 | s = scantable(self._math._bin(self, width))
|
|---|
| 1018 | s._add_history("bin", varlist)
|
|---|
| 1019 | print_log()
|
|---|
| 1020 | if insitu: self._assign(s)
|
|---|
| 1021 | else: return s
|
|---|
| 1022 |
|
|---|
| 1023 |
|
|---|
| 1024 | def resample(self, width=5, method='cubic', insitu=None):
|
|---|
| 1025 | """
|
|---|
| 1026 | Return a scan where all spectra have been binned up
|
|---|
| 1027 | width: The bin width (default=5) in pixels
|
|---|
| 1028 | method: Interpolation method when correcting from a table.
|
|---|
| 1029 | Values are "nearest", "linear", "cubic" (default)
|
|---|
| 1030 | and "spline"
|
|---|
| 1031 | insitu: if False a new scantable is returned.
|
|---|
| 1032 | Otherwise, the scaling is done in-situ
|
|---|
| 1033 | The default is taken from .asaprc (False)
|
|---|
| 1034 | """
|
|---|
| 1035 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1036 | self._math._setinsitu(insitu)
|
|---|
| 1037 | varlist = vars()
|
|---|
| 1038 | s = scantable(self._math._resample(self, method, width))
|
|---|
| 1039 | s._add_history("resample", varlist)
|
|---|
| 1040 | print_log()
|
|---|
| 1041 | if insitu: self._assign(s)
|
|---|
| 1042 | else: return s
|
|---|
| 1043 |
|
|---|
| 1044 |
|
|---|
| 1045 | def average_pol(self, mask=None, weight='none'):
|
|---|
| 1046 | """
|
|---|
| 1047 | Average the Polarisations together.
|
|---|
| 1048 | Parameters:
|
|---|
| 1049 | mask: An optional mask defining the region, where the
|
|---|
| 1050 | averaging will be applied. The output will have all
|
|---|
| 1051 | specified points masked.
|
|---|
| 1052 | weight: Weighting scheme. 'none' (default), 'var' (1/var(spec)
|
|---|
| 1053 | weighted), or 'tsys' (1/Tsys**2 weighted)
|
|---|
| 1054 | """
|
|---|
| 1055 | varlist = vars()
|
|---|
| 1056 | if mask is None:
|
|---|
| 1057 | mask = ()
|
|---|
| 1058 | s = scantable(self._math._averagepol(self, mask, weight.upper()))
|
|---|
| 1059 | s._add_history("average_pol", varlist)
|
|---|
| 1060 | print_log()
|
|---|
| 1061 | return s
|
|---|
| 1062 |
|
|---|
| 1063 | def average_beam(self, mask=None, weight='none'):
|
|---|
| 1064 | """
|
|---|
| 1065 | Average the Beams together.
|
|---|
| 1066 | Parameters:
|
|---|
| 1067 | mask: An optional mask defining the region, where the
|
|---|
| 1068 | averaging will be applied. The output will have all
|
|---|
| 1069 | specified points masked.
|
|---|
| 1070 | weight: Weighting scheme. 'none' (default), 'var' (1/var(spec)
|
|---|
| 1071 | weighted), or 'tsys' (1/Tsys**2 weighted)
|
|---|
| 1072 | """
|
|---|
| 1073 | varlist = vars()
|
|---|
| 1074 | if mask is None:
|
|---|
| 1075 | mask = ()
|
|---|
| 1076 | s = scantable(self._math._averagebeams(self, mask, weight.upper()))
|
|---|
| 1077 | s._add_history("average_beam", varlist)
|
|---|
| 1078 | print_log()
|
|---|
| 1079 | return s
|
|---|
| 1080 |
|
|---|
| 1081 | def convert_pol(self, poltype=None):
|
|---|
| 1082 | """
|
|---|
| 1083 | Convert the data to a different polarisation type.
|
|---|
| 1084 | Parameters:
|
|---|
| 1085 | poltype: The new polarisation type. Valid types are:
|
|---|
| 1086 | "linear", "stokes" and "circular"
|
|---|
| 1087 | """
|
|---|
| 1088 | varlist = vars()
|
|---|
| 1089 | try:
|
|---|
| 1090 | s = scantable(self._math._convertpol(self, poltype))
|
|---|
| 1091 | except RuntimeError, msg:
|
|---|
| 1092 | if rcParams['verbose']:
|
|---|
| 1093 | print msg
|
|---|
| 1094 | return
|
|---|
| 1095 | else:
|
|---|
| 1096 | raise
|
|---|
| 1097 | s._add_history("convert_pol", varlist)
|
|---|
| 1098 | print_log()
|
|---|
| 1099 | return s
|
|---|
| 1100 |
|
|---|
| 1101 | def smooth(self, kernel="hanning", width=5.0, insitu=None):
|
|---|
| 1102 | """
|
|---|
| 1103 | Smooth the spectrum by the specified kernel (conserving flux).
|
|---|
| 1104 | Parameters:
|
|---|
| 1105 | scan: The input scan
|
|---|
| 1106 | kernel: The type of smoothing kernel. Select from
|
|---|
| 1107 | 'hanning' (default), 'gaussian' and 'boxcar'.
|
|---|
| 1108 | The first three characters are sufficient.
|
|---|
| 1109 | width: The width of the kernel in pixels. For hanning this is
|
|---|
| 1110 | ignored otherwise it defauls to 5 pixels.
|
|---|
| 1111 | For 'gaussian' it is the Full Width Half
|
|---|
| 1112 | Maximum. For 'boxcar' it is the full width.
|
|---|
| 1113 | insitu: if False a new scantable is returned.
|
|---|
| 1114 | Otherwise, the scaling is done in-situ
|
|---|
| 1115 | The default is taken from .asaprc (False)
|
|---|
| 1116 | Example:
|
|---|
| 1117 | none
|
|---|
| 1118 | """
|
|---|
| 1119 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1120 | self._math._setinsitu(insitu)
|
|---|
| 1121 | varlist = vars()
|
|---|
| 1122 | s = scantable(self._math._smooth(self, kernel.lower(), width))
|
|---|
| 1123 | s._add_history("smooth", varlist)
|
|---|
| 1124 | print_log()
|
|---|
| 1125 | if insitu: self._assign(s)
|
|---|
| 1126 | else: return s
|
|---|
| 1127 |
|
|---|
| 1128 |
|
|---|
| 1129 | def poly_baseline(self, mask=None, order=0, plot=False, insitu=None):
|
|---|
| 1130 | """
|
|---|
| 1131 | Return a scan which has been baselined (all rows) by a polynomial.
|
|---|
| 1132 | Parameters:
|
|---|
| 1133 | scan: a scantable
|
|---|
| 1134 | mask: an optional mask
|
|---|
| 1135 | order: the order of the polynomial (default is 0)
|
|---|
| 1136 | plot: plot the fit and the residual. In this each
|
|---|
| 1137 | indivual fit has to be approved, by typing 'y'
|
|---|
| 1138 | or 'n'
|
|---|
| 1139 | insitu: if False a new scantable is returned.
|
|---|
| 1140 | Otherwise, the scaling is done in-situ
|
|---|
| 1141 | The default is taken from .asaprc (False)
|
|---|
| 1142 | Example:
|
|---|
| 1143 | # return a scan baselined by a third order polynomial,
|
|---|
| 1144 | # not using a mask
|
|---|
| 1145 | bscan = scan.poly_baseline(order=3)
|
|---|
| 1146 | """
|
|---|
| 1147 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1148 | varlist = vars()
|
|---|
| 1149 | if mask is None:
|
|---|
| 1150 | mask = list(NUM.ones(self.nchan(-1)))
|
|---|
| 1151 | from asap.asapfitter import fitter
|
|---|
| 1152 | f = fitter()
|
|---|
| 1153 | f.set_scan(self, mask)
|
|---|
| 1154 | f.set_function(poly=order)
|
|---|
| 1155 | s = f.auto_fit(insitu, plot=plot)
|
|---|
| 1156 | s._add_history("poly_baseline", varlist)
|
|---|
| 1157 | print_log()
|
|---|
| 1158 | if insitu: self._assign(s)
|
|---|
| 1159 | else: return s
|
|---|
| 1160 |
|
|---|
| 1161 | def auto_poly_baseline(self, mask=[], edge=(0, 0), order=0,
|
|---|
| 1162 | threshold=3, plot=False, insitu=None):
|
|---|
| 1163 | """
|
|---|
| 1164 | Return a scan which has been baselined (all rows) by a polynomial.
|
|---|
| 1165 | Spectral lines are detected first using linefinder and masked out
|
|---|
| 1166 | to avoid them affecting the baseline solution.
|
|---|
| 1167 |
|
|---|
| 1168 | Parameters:
|
|---|
| 1169 | mask: an optional mask retreived from scantable
|
|---|
| 1170 | edge: an optional number of channel to drop at
|
|---|
| 1171 | the edge of spectrum. If only one value is
|
|---|
| 1172 | specified, the same number will be dropped from
|
|---|
| 1173 | both sides of the spectrum. Default is to keep
|
|---|
| 1174 | all channels. Nested tuples represent individual
|
|---|
| 1175 | edge selection for different IFs (a number of spectral
|
|---|
| 1176 | channels can be different)
|
|---|
| 1177 | order: the order of the polynomial (default is 0)
|
|---|
| 1178 | threshold: the threshold used by line finder. It is better to
|
|---|
| 1179 | keep it large as only strong lines affect the
|
|---|
| 1180 | baseline solution.
|
|---|
| 1181 | plot: plot the fit and the residual. In this each
|
|---|
| 1182 | indivual fit has to be approved, by typing 'y'
|
|---|
| 1183 | or 'n'
|
|---|
| 1184 | insitu: if False a new scantable is returned.
|
|---|
| 1185 | Otherwise, the scaling is done in-situ
|
|---|
| 1186 | The default is taken from .asaprc (False)
|
|---|
| 1187 |
|
|---|
| 1188 | Example:
|
|---|
| 1189 | scan2=scan.auto_poly_baseline(order=7)
|
|---|
| 1190 | """
|
|---|
| 1191 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1192 | varlist = vars()
|
|---|
| 1193 | from asap.asapfitter import fitter
|
|---|
| 1194 | from asap.asaplinefind import linefinder
|
|---|
| 1195 | from asap import _is_sequence_or_number as _is_valid
|
|---|
| 1196 |
|
|---|
| 1197 | # check whether edge is set up for each IF individually
|
|---|
| 1198 | individualedge = False;
|
|---|
| 1199 | if len(edge) > 1:
|
|---|
| 1200 | if isinstance(edge[0], list) or isinstance(edge[0], tuple):
|
|---|
| 1201 | individualedge = True;
|
|---|
| 1202 |
|
|---|
| 1203 | if not _is_valid(edge, int) and not individualedge:
|
|---|
| 1204 | raise ValueError, "Parameter 'edge' has to be an integer or a \
|
|---|
| 1205 | pair of integers specified as a tuple. Nested tuples are allowed \
|
|---|
| 1206 | to make individual selection for different IFs."
|
|---|
| 1207 |
|
|---|
| 1208 | curedge = (0, 0)
|
|---|
| 1209 | if individualedge:
|
|---|
| 1210 | for edgepar in edge:
|
|---|
| 1211 | if not _is_valid(edgepar, int):
|
|---|
| 1212 | raise ValueError, "Each element of the 'edge' tuple has \
|
|---|
| 1213 | to be a pair of integers or an integer."
|
|---|
| 1214 | else:
|
|---|
| 1215 | curedge = edge;
|
|---|
| 1216 |
|
|---|
| 1217 | # setup fitter
|
|---|
| 1218 | f = fitter()
|
|---|
| 1219 | f.set_function(poly=order)
|
|---|
| 1220 |
|
|---|
| 1221 | # setup line finder
|
|---|
| 1222 | fl = linefinder()
|
|---|
| 1223 | fl.set_options(threshold=threshold)
|
|---|
| 1224 |
|
|---|
| 1225 | if not insitu:
|
|---|
| 1226 | workscan = self.copy()
|
|---|
| 1227 | else:
|
|---|
| 1228 | workscan = self
|
|---|
| 1229 |
|
|---|
| 1230 | fl.set_scan(workscan)
|
|---|
| 1231 |
|
|---|
| 1232 | rows = range(workscan.nrow())
|
|---|
| 1233 | asaplog.push("Processing:")
|
|---|
| 1234 | for r in rows:
|
|---|
| 1235 | msg = " Scan[%d] Beam[%d] IF[%d] Pol[%d] Cycle[%d]" % \
|
|---|
| 1236 | (workscan.getscan(r), workscan.getbeam(r), workscan.getif(r), \
|
|---|
| 1237 | workscan.getpol(r), workscan.getcycle(r))
|
|---|
| 1238 | asaplog.push(msg, False)
|
|---|
| 1239 |
|
|---|
| 1240 | # figure out edge parameter
|
|---|
| 1241 | if individualedge:
|
|---|
| 1242 | if len(edge) >= workscan.getif(r):
|
|---|
| 1243 | raise RuntimeError, "Number of edge elements appear to " \
|
|---|
| 1244 | "be less than the number of IFs"
|
|---|
| 1245 | curedge = edge[workscan.getif(r)]
|
|---|
| 1246 |
|
|---|
| 1247 | # setup line finder
|
|---|
| 1248 | fl.find_lines(r, mask, curedge)
|
|---|
| 1249 | f.set_scan(workscan, fl.get_mask())
|
|---|
| 1250 | f.x = workscan._getabcissa(r)
|
|---|
| 1251 | f.y = workscan._getspectrum(r)
|
|---|
| 1252 | f.data = None
|
|---|
| 1253 | f.fit()
|
|---|
| 1254 | x = f.get_parameters()
|
|---|
| 1255 | if plot:
|
|---|
| 1256 | f.plot(residual=True)
|
|---|
| 1257 | x = raw_input("Accept fit ( [y]/n ): ")
|
|---|
| 1258 | if x.upper() == 'N':
|
|---|
| 1259 | continue
|
|---|
| 1260 | workscan._setspectrum(f.fitter.getresidual(), r)
|
|---|
| 1261 | if plot:
|
|---|
| 1262 | f._p.unmap()
|
|---|
| 1263 | f._p = None
|
|---|
| 1264 | workscan._add_history("auto_poly_baseline", varlist)
|
|---|
| 1265 | if insitu:
|
|---|
| 1266 | self._assign(workscan)
|
|---|
| 1267 | else:
|
|---|
| 1268 | return workscan
|
|---|
| 1269 |
|
|---|
| 1270 | def rotate_linpolphase(self, angle):
|
|---|
| 1271 | """
|
|---|
| 1272 | Rotate the phase of the complex polarization O=Q+iU correlation.
|
|---|
| 1273 | This is always done in situ in the raw data. So if you call this
|
|---|
| 1274 | function more than once then each call rotates the phase further.
|
|---|
| 1275 | Parameters:
|
|---|
| 1276 | angle: The angle (degrees) to rotate (add) by.
|
|---|
| 1277 | Examples:
|
|---|
| 1278 | scan.rotate_linpolphase(2.3)
|
|---|
| 1279 | """
|
|---|
| 1280 | varlist = vars()
|
|---|
| 1281 | self._math._rotate_linpolphase(self, angle)
|
|---|
| 1282 | self._add_history("rotate_linpolphase", varlist)
|
|---|
| 1283 | print_log()
|
|---|
| 1284 | return
|
|---|
| 1285 |
|
|---|
| 1286 |
|
|---|
| 1287 | def rotate_xyphase(self, angle):
|
|---|
| 1288 | """
|
|---|
| 1289 | Rotate the phase of the XY correlation. This is always done in situ
|
|---|
| 1290 | in the data. So if you call this function more than once
|
|---|
| 1291 | then each call rotates the phase further.
|
|---|
| 1292 | Parameters:
|
|---|
| 1293 | angle: The angle (degrees) to rotate (add) by.
|
|---|
| 1294 | Examples:
|
|---|
| 1295 | scan.rotate_xyphase(2.3)
|
|---|
| 1296 | """
|
|---|
| 1297 | varlist = vars()
|
|---|
| 1298 | self._math._rotate_xyphase(self, angle)
|
|---|
| 1299 | self._add_history("rotate_xyphase", varlist)
|
|---|
| 1300 | print_log()
|
|---|
| 1301 | return
|
|---|
| 1302 |
|
|---|
| 1303 | def swap_linears(self):
|
|---|
| 1304 | """
|
|---|
| 1305 | Swap the linear polarisations XX and YY
|
|---|
| 1306 | """
|
|---|
| 1307 | varlist = vars()
|
|---|
| 1308 | self._math._swap_linears(self)
|
|---|
| 1309 | self._add_history("swap_linears", varlist)
|
|---|
| 1310 | print_log()
|
|---|
| 1311 | return
|
|---|
| 1312 |
|
|---|
| 1313 | def invert_phase(self):
|
|---|
| 1314 | """
|
|---|
| 1315 | Invert the phase of the complex polarisation
|
|---|
| 1316 | """
|
|---|
| 1317 | varlist = vars()
|
|---|
| 1318 | self._math._invert_phase(self)
|
|---|
| 1319 | self._add_history("invert_phase", varlist)
|
|---|
| 1320 | print_log()
|
|---|
| 1321 | return
|
|---|
| 1322 |
|
|---|
| 1323 | def add(self, offset, insitu=None):
|
|---|
| 1324 | """
|
|---|
| 1325 | Return a scan where all spectra have the offset added
|
|---|
| 1326 | Parameters:
|
|---|
| 1327 | offset: the offset
|
|---|
| 1328 | insitu: if False a new scantable is returned.
|
|---|
| 1329 | Otherwise, the scaling is done in-situ
|
|---|
| 1330 | The default is taken from .asaprc (False)
|
|---|
| 1331 | """
|
|---|
| 1332 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1333 | self._math._setinsitu(insitu)
|
|---|
| 1334 | varlist = vars()
|
|---|
| 1335 | s = scantable(self._math._unaryop(self, offset, "ADD", False))
|
|---|
| 1336 | s._add_history("add", varlist)
|
|---|
| 1337 | print_log()
|
|---|
| 1338 | if insitu:
|
|---|
| 1339 | self._assign(s)
|
|---|
| 1340 | else:
|
|---|
| 1341 | return s
|
|---|
| 1342 |
|
|---|
| 1343 | def scale(self, factor, tsys=True, insitu=None, ):
|
|---|
| 1344 | """
|
|---|
| 1345 | Return a scan where all spectra are scaled by the give 'factor'
|
|---|
| 1346 | Parameters:
|
|---|
| 1347 | factor: the scaling factor
|
|---|
| 1348 | insitu: if False a new scantable is returned.
|
|---|
| 1349 | Otherwise, the scaling is done in-situ
|
|---|
| 1350 | The default is taken from .asaprc (False)
|
|---|
| 1351 | tsys: if True (default) then apply the operation to Tsys
|
|---|
| 1352 | as well as the data
|
|---|
| 1353 | """
|
|---|
| 1354 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1355 | self._math._setinsitu(insitu)
|
|---|
| 1356 | varlist = vars()
|
|---|
| 1357 | s = scantable(self._math._unaryop(self, factor, "MUL", tsys))
|
|---|
| 1358 | s._add_history("scale", varlist)
|
|---|
| 1359 | print_log()
|
|---|
| 1360 | if insitu:
|
|---|
| 1361 | self._assign(s)
|
|---|
| 1362 | else:
|
|---|
| 1363 | return s
|
|---|
| 1364 |
|
|---|
| 1365 | def auto_quotient(self, mode='time', preserve=True):
|
|---|
| 1366 | """
|
|---|
| 1367 | This function allows to build quotients automatically.
|
|---|
| 1368 | It assumes the observation to have the same numer of
|
|---|
| 1369 | "ons" and "offs"
|
|---|
| 1370 | It will support "closest off in time" in the future
|
|---|
| 1371 | Parameters:
|
|---|
| 1372 | mode: the on/off detection mode; 'suffix' (default)
|
|---|
| 1373 | 'suffix' identifies 'off' scans by the
|
|---|
| 1374 | trailing '_R' (Mopra/Parkes) or
|
|---|
| 1375 | '_e'/'_w' (Tid)
|
|---|
| 1376 | preserve: you can preserve (default) the continuum or
|
|---|
| 1377 | remove it. The equations used are
|
|---|
| 1378 | preserve: Output = Toff * (on/off) - Toff
|
|---|
| 1379 | remove: Output = Toff * (on/off) - Ton
|
|---|
| 1380 | """
|
|---|
| 1381 | modes = ["time"]
|
|---|
| 1382 | if not mode in modes:
|
|---|
| 1383 | msg = "please provide valid mode. Valid modes are %s" % (modes)
|
|---|
| 1384 | raise ValueError(msg)
|
|---|
| 1385 | varlist = vars()
|
|---|
| 1386 | s = scantable(self._math._auto_quotient(self, mode, preserve))
|
|---|
| 1387 | s._add_history("auto_quotient", varlist)
|
|---|
| 1388 | print_log()
|
|---|
| 1389 | return s
|
|---|
| 1390 |
|
|---|
| 1391 | def mx_quotient(self, mask = None, weight='median', preserve=True):
|
|---|
| 1392 | """
|
|---|
| 1393 | Form a quotient using "off" beams when observing in "MX" mode.
|
|---|
| 1394 | Parameters:
|
|---|
| 1395 | mask: an optional mask to be used when weight == 'stddev'
|
|---|
| 1396 | weight: How to average the off beams. Default is 'median'.
|
|---|
| 1397 | preserve: you can preserve (default) the continuum or
|
|---|
| 1398 | remove it. The equations used are
|
|---|
| 1399 | preserve: Output = Toff * (on/off) - Toff
|
|---|
| 1400 | remove: Output = Toff * (on/off) - Ton
|
|---|
| 1401 | """
|
|---|
| 1402 | if mask is None: mask = ()
|
|---|
| 1403 | varlist = vars()
|
|---|
| 1404 | on = scantable(self._math._mx_extract(self, 'on'))
|
|---|
| 1405 | preoff = scantable(self._math._mx_extract(self, 'off'))
|
|---|
| 1406 | off = preoff.average_time(mask=mask, weight=weight, scanav=False)
|
|---|
| 1407 | from asapmath import quotient
|
|---|
| 1408 | q = quotient(on, off, preserve)
|
|---|
| 1409 | q._add_history("mx_quotient", varlist)
|
|---|
| 1410 | print_log()
|
|---|
| 1411 | return q
|
|---|
| 1412 |
|
|---|
| 1413 | def freq_switch(self, insitu=None):
|
|---|
| 1414 | """
|
|---|
| 1415 | Apply frequency switching to the data.
|
|---|
| 1416 | Parameters:
|
|---|
| 1417 | insitu: if False a new scantable is returned.
|
|---|
| 1418 | Otherwise, the swictching is done in-situ
|
|---|
| 1419 | The default is taken from .asaprc (False)
|
|---|
| 1420 | Example:
|
|---|
| 1421 | none
|
|---|
| 1422 | """
|
|---|
| 1423 | if insitu is None: insitu = rcParams['insitu']
|
|---|
| 1424 | self._math._setinsitu(insitu)
|
|---|
| 1425 | varlist = vars()
|
|---|
| 1426 | s = scantable(self._math._freqswitch(self))
|
|---|
| 1427 | s._add_history("freq_switch", varlist)
|
|---|
| 1428 | print_log()
|
|---|
| 1429 | if insitu: self._assign(s)
|
|---|
| 1430 | else: return s
|
|---|
| 1431 |
|
|---|
| 1432 | def recalc_azel(self):
|
|---|
| 1433 | """
|
|---|
| 1434 | Recalculate the azimuth and elevation for each position.
|
|---|
| 1435 | Parameters:
|
|---|
| 1436 | none
|
|---|
| 1437 | Example:
|
|---|
| 1438 | """
|
|---|
| 1439 | varlist = vars()
|
|---|
| 1440 | self._recalcazel()
|
|---|
| 1441 | self._add_history("recalc_azel", varlist)
|
|---|
| 1442 | print_log()
|
|---|
| 1443 | return
|
|---|
| 1444 |
|
|---|
| 1445 | def __add__(self, other):
|
|---|
| 1446 | varlist = vars()
|
|---|
| 1447 | s = None
|
|---|
| 1448 | if isinstance(other, scantable):
|
|---|
| 1449 | print "scantable + scantable NYI"
|
|---|
| 1450 | return
|
|---|
| 1451 | elif isinstance(other, float):
|
|---|
| 1452 | s = scantable(self._math._unaryop(self, other, "ADD", False))
|
|---|
| 1453 | else:
|
|---|
| 1454 | raise TypeError("Other input is not a scantable or float value")
|
|---|
| 1455 | s._add_history("operator +", varlist)
|
|---|
| 1456 | print_log()
|
|---|
| 1457 | return s
|
|---|
| 1458 |
|
|---|
| 1459 | def __sub__(self, other):
|
|---|
| 1460 | """
|
|---|
| 1461 | implicit on all axes and on Tsys
|
|---|
| 1462 | """
|
|---|
| 1463 | varlist = vars()
|
|---|
| 1464 | s = None
|
|---|
| 1465 | if isinstance(other, scantable):
|
|---|
| 1466 | print "scantable - scantable NYI"
|
|---|
| 1467 | return
|
|---|
| 1468 | elif isinstance(other, float):
|
|---|
| 1469 | s = scantable(self._math._unaryop(self, other, "SUB", False))
|
|---|
| 1470 | else:
|
|---|
| 1471 | raise TypeError("Other input is not a scantable or float value")
|
|---|
| 1472 | s._add_history("operator -", varlist)
|
|---|
| 1473 | print_log()
|
|---|
| 1474 | return s
|
|---|
| 1475 |
|
|---|
| 1476 | def __mul__(self, other):
|
|---|
| 1477 | """
|
|---|
| 1478 | implicit on all axes and on Tsys
|
|---|
| 1479 | """
|
|---|
| 1480 | varlist = vars()
|
|---|
| 1481 | s = None
|
|---|
| 1482 | if isinstance(other, scantable):
|
|---|
| 1483 | print "scantable * scantable NYI"
|
|---|
| 1484 | return
|
|---|
| 1485 | elif isinstance(other, float):
|
|---|
| 1486 | s = scantable(self._math._unaryop(self, other, "MUL", False))
|
|---|
| 1487 | else:
|
|---|
| 1488 | raise TypeError("Other input is not a scantable or float value")
|
|---|
| 1489 | s._add_history("operator *", varlist)
|
|---|
| 1490 | print_log()
|
|---|
| 1491 | return s
|
|---|
| 1492 |
|
|---|
| 1493 |
|
|---|
| 1494 | def __div__(self, other):
|
|---|
| 1495 | """
|
|---|
| 1496 | implicit on all axes and on Tsys
|
|---|
| 1497 | """
|
|---|
| 1498 | varlist = vars()
|
|---|
| 1499 | s = None
|
|---|
| 1500 | if isinstance(other, scantable):
|
|---|
| 1501 | print "scantable / scantable NYI"
|
|---|
| 1502 | return
|
|---|
| 1503 | elif isinstance(other, float):
|
|---|
| 1504 | if other == 0.0:
|
|---|
| 1505 | raise ZeroDivisionError("Dividing by zero is not recommended")
|
|---|
| 1506 | s = scantable(self._math._unaryop(self, other, "DIV", False))
|
|---|
| 1507 | else:
|
|---|
| 1508 | raise TypeError("Other input is not a scantable or float value")
|
|---|
| 1509 | s._add_history("operator /", varlist)
|
|---|
| 1510 | print_log()
|
|---|
| 1511 | return s
|
|---|
| 1512 |
|
|---|
| 1513 | def get_fit(self, row=0):
|
|---|
| 1514 | """
|
|---|
| 1515 | Print or return the stored fits for a row in the scantable
|
|---|
| 1516 | Parameters:
|
|---|
| 1517 | row: the row which the fit has been applied to.
|
|---|
| 1518 | """
|
|---|
| 1519 | if row > self.nrow():
|
|---|
| 1520 | return
|
|---|
| 1521 | from asap.asapfit import asapfit
|
|---|
| 1522 | fit = asapfit(self._getfit(row))
|
|---|
| 1523 | if rcParams['verbose']:
|
|---|
| 1524 | print fit
|
|---|
| 1525 | return
|
|---|
| 1526 | else:
|
|---|
| 1527 | return fit.as_dict()
|
|---|
| 1528 |
|
|---|
| 1529 | def _add_history(self, funcname, parameters):
|
|---|
| 1530 | # create date
|
|---|
| 1531 | sep = "##"
|
|---|
| 1532 | from datetime import datetime
|
|---|
| 1533 | dstr = datetime.now().strftime('%Y/%m/%d %H:%M:%S')
|
|---|
| 1534 | hist = dstr+sep
|
|---|
| 1535 | hist += funcname+sep#cdate+sep
|
|---|
| 1536 | if parameters.has_key('self'): del parameters['self']
|
|---|
| 1537 | for k, v in parameters.iteritems():
|
|---|
| 1538 | if type(v) is dict:
|
|---|
| 1539 | for k2, v2 in v.iteritems():
|
|---|
| 1540 | hist += k2
|
|---|
| 1541 | hist += "="
|
|---|
| 1542 | if isinstance(v2, scantable):
|
|---|
| 1543 | hist += 'scantable'
|
|---|
| 1544 | elif k2 == 'mask':
|
|---|
| 1545 | if isinstance(v2, list) or isinstance(v2, tuple):
|
|---|
| 1546 | hist += str(self._zip_mask(v2))
|
|---|
| 1547 | else:
|
|---|
| 1548 | hist += str(v2)
|
|---|
| 1549 | else:
|
|---|
| 1550 | hist += str(v2)
|
|---|
| 1551 | else:
|
|---|
| 1552 | hist += k
|
|---|
| 1553 | hist += "="
|
|---|
| 1554 | if isinstance(v, scantable):
|
|---|
| 1555 | hist += 'scantable'
|
|---|
| 1556 | elif k == 'mask':
|
|---|
| 1557 | if isinstance(v, list) or isinstance(v, tuple):
|
|---|
| 1558 | hist += str(self._zip_mask(v))
|
|---|
| 1559 | else:
|
|---|
| 1560 | hist += str(v)
|
|---|
| 1561 | else:
|
|---|
| 1562 | hist += str(v)
|
|---|
| 1563 | hist += sep
|
|---|
| 1564 | hist = hist[:-2] # remove trailing '##'
|
|---|
| 1565 | self._addhistory(hist)
|
|---|
| 1566 |
|
|---|
| 1567 |
|
|---|
| 1568 | def _zip_mask(self, mask):
|
|---|
| 1569 | mask = list(mask)
|
|---|
| 1570 | i = 0
|
|---|
| 1571 | segments = []
|
|---|
| 1572 | while mask[i:].count(1):
|
|---|
| 1573 | i += mask[i:].index(1)
|
|---|
| 1574 | if mask[i:].count(0):
|
|---|
| 1575 | j = i + mask[i:].index(0)
|
|---|
| 1576 | else:
|
|---|
| 1577 | j = len(mask)
|
|---|
| 1578 | segments.append([i, j])
|
|---|
| 1579 | i = j
|
|---|
| 1580 | return segments
|
|---|
| 1581 |
|
|---|
| 1582 | def _get_ordinate_label(self):
|
|---|
| 1583 | fu = "("+self.get_fluxunit()+")"
|
|---|
| 1584 | import re
|
|---|
| 1585 | lbl = "Intensity"
|
|---|
| 1586 | if re.match(".K.", fu):
|
|---|
| 1587 | lbl = "Brightness Temperature "+ fu
|
|---|
| 1588 | elif re.match(".Jy.", fu):
|
|---|
| 1589 | lbl = "Flux density "+ fu
|
|---|
| 1590 | return lbl
|
|---|
| 1591 |
|
|---|
| 1592 | def _check_ifs(self):
|
|---|
| 1593 | nchans = [self.nchan(i) for i in range(self.nif(-1))]
|
|---|
| 1594 | nchans = filter(lambda t: t > 0, nchans)
|
|---|
| 1595 | return (sum(nchans)/len(nchans) == nchans[0])
|
|---|
| 1596 |
|
|---|
| 1597 | def _fill(self, names, unit, average):
|
|---|
| 1598 | import os
|
|---|
| 1599 | from asap._asap import stfiller
|
|---|
| 1600 | first = True
|
|---|
| 1601 | fullnames = []
|
|---|
| 1602 | for name in names:
|
|---|
| 1603 | name = os.path.expandvars(name)
|
|---|
| 1604 | name = os.path.expanduser(name)
|
|---|
| 1605 | if not os.path.exists(name):
|
|---|
| 1606 | msg = "File '%s' does not exists" % (name)
|
|---|
| 1607 | if rcParams['verbose']:
|
|---|
| 1608 | asaplog.push(msg)
|
|---|
| 1609 | print asaplog.pop().strip()
|
|---|
| 1610 | return
|
|---|
| 1611 | raise IOError(msg)
|
|---|
| 1612 | fullnames.append(name)
|
|---|
| 1613 | if average:
|
|---|
| 1614 | asaplog.push('Auto averaging integrations')
|
|---|
| 1615 | stype = int(rcParams['scantable.storage'].lower() == 'disk')
|
|---|
| 1616 | for name in fullnames:
|
|---|
| 1617 | tbl = Scantable(stype)
|
|---|
| 1618 | r = stfiller(tbl)
|
|---|
| 1619 | msg = "Importing %s..." % (name)
|
|---|
| 1620 | asaplog.push(msg, False)
|
|---|
| 1621 | print_log()
|
|---|
| 1622 | r._open(name, -1, -1)
|
|---|
| 1623 | r._read()
|
|---|
| 1624 | #tbl = r._getdata()
|
|---|
| 1625 | if average:
|
|---|
| 1626 | tbl = self._math._average((tbl, ), (), 'NONE', 'SCAN')
|
|---|
| 1627 | #tbl = tbl2
|
|---|
| 1628 | if not first:
|
|---|
| 1629 | tbl = self._math._merge([self, tbl])
|
|---|
| 1630 | #tbl = tbl2
|
|---|
| 1631 | Scantable.__init__(self, tbl)
|
|---|
| 1632 | r._close()
|
|---|
| 1633 | del r, tbl
|
|---|
| 1634 | first = False
|
|---|
| 1635 | if unit is not None:
|
|---|
| 1636 | self.set_fluxunit(unit)
|
|---|
| 1637 | self.set_freqframe(rcParams['scantable.freqframe'])
|
|---|
| 1638 | #self._add_history("scantable", varlist)
|
|---|
| 1639 |
|
|---|
