| 1 | import numpy
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| 2 | from asap import rcParams
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| 3 | from asap.scantable import scantable
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| 4 | from asap.selector import selector
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| 5 | from asap._asap import stgrid, stgrid2
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| 6 | import pylab as pl
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| 7 | from logging import asaplog
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| 8 |
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| 9 | class asapgrid:
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| 10 | """
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| 11 | The asapgrid class is defined to convolve data onto regular
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| 12 | spatial grid. Typical usage is as follows:
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| 13 |
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| 14 | # create asapgrid instance with two input data
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| 15 | g = asapgrid( ['testimage1.asap','testimage2.asap'] )
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| 16 | # set IFNO if necessary
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| 17 | g.setIF( 0 )
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| 18 | # set POLNOs if necessary
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| 19 | g.setPolList( [0,1] )
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| 20 | # set SCANNOs if necessary
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| 21 | g.setScanList( [22,23,24] )
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| 22 | # define image with full specification
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| 23 | # you can skip some parameters (see help for defineImage)
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| 24 | g.defineImage( nx=12, ny=12, cellx='10arcsec', celly='10arcsec',
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| 25 | center='J2000 10h10m10s -5d05m05s' )
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| 26 | # set convolution function
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| 27 | g.setFunc( func='sf', width=3 )
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| 28 | # enable min/max clipping
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| 29 | g.enableClip()
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| 30 | # or, disable min/max clipping
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| 31 | #g.disableClip()
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| 32 | # actual gridding
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| 33 | g.grid()
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| 34 | # save result
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| 35 | g.save( outfile='grid.asap' )
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| 36 | # plot result
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| 37 | g.plot( plotchan=1246, plotpol=-1, plotgrid=True, plotobs=True )
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| 38 | """
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| 39 | def __init__( self, infile ):
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| 40 | """
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| 41 | Create asapgrid instance.
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| 42 |
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| 43 | infile -- input data as a string or string list if you want
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| 44 | to grid more than one data at once.
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| 45 | """
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| 46 | self.outfile = None
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| 47 | self.ifno = None
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| 48 | self.gridder = stgrid()
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| 49 | self.setData( infile )
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| 50 |
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| 51 | def setData( self, infile ):
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| 52 | """
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| 53 | Set data to be processed.
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| 54 |
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| 55 | infile -- input data as a string or string list if you want
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| 56 | to grid more than one data at once.
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| 57 | """
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| 58 | if isinstance( infile, str ):
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| 59 | self.gridder._setin( infile )
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| 60 | else:
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| 61 | self.gridder._setfiles( infile )
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| 62 | self.infile = infile
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| 63 |
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| 64 | def setIF( self, ifno ):
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| 65 | """
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| 66 | Set IFNO to be processed. Currently, asapgrid allows to process
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| 67 | only one IFNO for one gridding run even if the data contains
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| 68 | multiple IFs. If you didn't specify IFNO, default value, which
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| 69 | is IFNO in the first spectrum, will be processed.
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| 70 |
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| 71 | ifno -- IFNO to be processed.
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| 72 | """
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| 73 | self.ifno = ifno
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| 74 | self.gridder._setif( self.ifno )
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| 75 |
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| 76 | def setPolList( self, pollist ):
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| 77 | """
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| 78 | Set list of polarization components you want to process.
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| 79 | If not specified, all POLNOs will be processed.
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| 80 |
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| 81 | pollist -- list of POLNOs.
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| 82 | """
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| 83 | self.gridder._setpollist( pollist )
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| 84 |
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| 85 | def setScanList( self, scanlist ):
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| 86 | """
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| 87 | Set list of scans you want to process. If not specified, all
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| 88 | scans will be processed.
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| 89 |
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| 90 | scanlist -- list of SCANNOs.
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| 91 | """
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| 92 | self.gridder._setscanlist( scanlist )
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| 93 |
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| 94 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ):
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| 95 | """
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| 96 | Define spatial grid.
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| 97 |
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| 98 | First two parameters, nx and ny, define number of pixels of
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| 99 | the grid. If which of those is not specified, it will be set
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| 100 | to the same value as the other. If none of them are specified,
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| 101 | it will be determined from map extent and cell size.
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| 102 |
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| 103 | Next two parameters, cellx and celly, define size of pixel.
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| 104 | You should set those parameters as string, which is constructed
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| 105 | numerical value and unit, e.g. '0.5arcmin', or numerical value.
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| 106 | If those values are specified as numerical value, their units
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| 107 | will be assumed to 'arcsec'. If which of those is not specified,
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| 108 | it will be set to the same value as the other. If none of them
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| 109 | are specified, it will be determined from map extent and number
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| 110 | of pixels, or set to '1arcmin' if neither nx nor ny is set.
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| 111 |
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| 112 | The last parameter, center, define the central coordinate of
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| 113 | the grid. You should specify its value as a string, like,
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| 114 |
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| 115 | 'J2000 05h08m50s -16d23m30s'
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| 116 |
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| 117 | or
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| 118 |
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| 119 | 'J2000 05:08:50 -16.23.30'
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| 120 |
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| 121 | You can omit equinox when you specify center coordinate. In that
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| 122 | case, J2000 is assumed. If center is not specified, it will be
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| 123 | determined from the observed positions of input data.
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| 124 |
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| 125 | nx -- number of pixels along x (R.A.) direction.
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| 126 | ny -- number of pixels along y (Dec.) direction.
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| 127 | cellx -- size of pixel in x (R.A.) direction.
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| 128 | celly -- size of pixel in y (Dec.) direction.
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| 129 | center -- central position of the grid.
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| 130 | """
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| 131 | if not isinstance( cellx, str ):
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| 132 | cellx = '%sarcsec'%(cellx)
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| 133 | if not isinstance( celly, str ):
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| 134 | celly = '%sarcsec'%(celly)
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| 135 | self.gridder._defineimage( nx, ny, cellx, celly, center )
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| 136 |
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| 137 | def setFunc( self, func='box', width=-1, gwidth="", jwidth="" ):
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| 138 | """
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| 139 | Set convolution function. Possible options are 'box' (Box-car,
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| 140 | default), 'sf' (prolate spheroidal), and 'gauss' (Gaussian).
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| 141 | Width of convolution function can be set using width parameter.
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| 142 | By default (-1), width is automatically set depending on each
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| 143 | convolution function. Default values for width are:
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| 144 |
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| 145 | 'box': 1 pixel
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| 146 | 'sf': 3 pixels
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| 147 | 'gauss': 1 pixel (width is used as HWHM)
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| 148 |
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| 149 | func -- Function type ('box', 'sf', 'gauss').
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| 150 | width -- Width of convolution function. Default (-1) is to
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| 151 | choose pre-defined value for each convolution function.
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| 152 | """
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| 153 | fname = func.upper()
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| 154 | if fname == 'GAUSS' or fname == 'GJINC':
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| 155 | gw = str(gwidth)
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| 156 | jw = str(jwidth)
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| 157 | w = str(width)
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| 158 | if w[0] == '-': w = ''
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| 159 | #self.gridder._setfunc(fname, -1, w, gw, jw)
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| 160 | self.gridder._setfunc(fname,convsupport=-1,gwidth=gw,jwidth=jw,truncate=w)
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| 161 | else:
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| 162 | self.gridder._setfunc( func, convsupport=width )
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| 163 |
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| 164 | def setWeight( self, weightType='uniform' ):
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| 165 | """
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| 166 | Set weight type. Possible options are 'uniform' (default),
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| 167 | 'tint' (weight by integration time), 'tsys' (weight by
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| 168 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time
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| 169 | as well as Tsys: tint/Tsys**2).
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| 170 |
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| 171 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys')
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| 172 | """
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| 173 | self.gridder._setweight( weightType )
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| 174 |
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| 175 | def enableClip( self ):
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| 176 | """
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| 177 | Enable min/max clipping.
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| 178 |
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| 179 | By default, min/max clipping is disabled so that you should
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| 180 | call this method before actual gridding if you want to do
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| 181 | clipping.
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| 182 | """
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| 183 | self.gridder._enableclip()
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| 184 |
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| 185 | def disableClip( self ):
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| 186 | """
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| 187 | Disable min/max clipping.
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| 188 | """
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| 189 | self.gridder._disableclip()
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| 190 |
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| 191 | def grid( self ):
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| 192 | """
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| 193 | Actual gridding which will be done based on several user inputs.
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| 194 | """
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| 195 | self.gridder._grid()
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| 196 |
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| 197 | def save( self, outfile='' ):
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| 198 | """
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| 199 | Save result. By default, output data name will be constructed
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| 200 | from first element of input data name list (e.g. 'input.asap.grid').
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| 201 |
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| 202 | outfile -- output data name.
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| 203 | """
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| 204 | self.outfile = self.gridder._save( outfile )
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| 205 |
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| 206 | def plot( self, plotchan=-1, plotpol=-1, plotobs=False, plotgrid=False ):
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| 207 | """
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| 208 | Plot gridded data.
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| 209 |
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| 210 | plotchan -- Which channel you want to plot. Default (-1) is
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| 211 | to average all the channels.
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| 212 | plotpol -- Which polarization component you want to plot.
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| 213 | Default (-1) is to average all the polarization
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| 214 | components.
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| 215 | plotobs -- Also plot observed position if True. Default
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| 216 | is False. Setting True for large amount of spectra
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| 217 | might be time consuming.
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| 218 | plotgrid -- Also plot grid center if True. Default is False.
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| 219 | Setting True for large number of grids might be
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| 220 | time consuming.
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| 221 | """
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| 222 | import time
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| 223 | t0=time.time()
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| 224 | # to load scantable on disk
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| 225 | storg = rcParams['scantable.storage']
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| 226 | rcParams['scantable.storage'] = 'disk'
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| 227 | plotter = _SDGridPlotter( self.infile, self.outfile, self.ifno )
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| 228 | plotter.plot( chan=plotchan, pol=plotpol, plotobs=plotobs, plotgrid=plotgrid )
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| 229 | # back to original setup
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| 230 | rcParams['scantable.storage'] = storg
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| 231 | t1=time.time()
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| 232 | asaplog.push('plot: elapsed time %s sec'%(t1-t0))
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| 233 | asaplog.post('DEBUG','asapgrid.plot')
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| 234 |
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| 235 | def plotFunc(self, clear=True):
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| 236 | """
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| 237 | Support function to see the shape of current grid function.
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| 238 |
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| 239 | clear -- clear panel if True. Default is True.
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| 240 | """
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| 241 | pl.figure(11)
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| 242 | if clear:
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| 243 | pl.clf()
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| 244 | f = self.gridder._getfunc()
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| 245 | convsampling = 100
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| 246 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float)
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| 247 | pl.plot(a,f,'.-')
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| 248 | pl.xlabel('pixel')
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| 249 | pl.ylabel('convFunc')
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| 250 |
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| 251 | class asapgrid2:
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| 252 | """
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| 253 | The asapgrid class is defined to convolve data onto regular
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| 254 | spatial grid. Typical usage is as follows:
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| 255 |
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| 256 | # create asapgrid instance with input scantable
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| 257 | s = scantable( 'testimage1.asap', average=False )
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| 258 | g = asapgrid( s )
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| 259 | # set IFNO if necessary
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| 260 | g.setIF( 0 )
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| 261 | # set POLNOs if necessary
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| 262 | g.setPolList( [0,1] )
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| 263 | # set SCANNOs if necessary
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| 264 | g.setScanList( [22,23,24] )
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| 265 | # define image with full specification
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| 266 | # you can skip some parameters (see help for defineImage)
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| 267 | g.defineImage( nx=12, ny=12, cellx='10arcsec', celly='10arcsec',
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| 268 | center='J2000 10h10m10s -5d05m05s' )
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| 269 | # set convolution function
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| 270 | g.setFunc( func='sf', width=3 )
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| 271 | # enable min/max clipping
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| 272 | g.enableClip()
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| 273 | # or, disable min/max clipping
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| 274 | #g.disableClip()
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| 275 | # actual gridding
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| 276 | g.grid()
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| 277 | # get result as scantable
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| 278 | sg = g.getResult()
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| 279 | """
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| 280 | def __init__( self, scantab ):
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| 281 | """
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| 282 | Create asapgrid instance.
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| 283 |
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| 284 | scantab -- input data as a scantable or a list of scantables
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| 285 | to grid more than one data at once.
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| 286 | """
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| 287 | self.outfile = None
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| 288 | self.ifno = None
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| 289 | self.gridder = stgrid2()
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| 290 | self.setData( scantab )
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| 291 |
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| 292 | def setData( self, scantab ):
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| 293 | """
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| 294 | Set data to be processed.
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| 295 |
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| 296 | scantab -- input data as a scantable or a list of scantables
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| 297 | to grid more than one data at once.
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| 298 | """
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| 299 | if isinstance( scantab, scantable ):
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| 300 | self.gridder._setin( scantab )
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| 301 | else:
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| 302 | self.gridder._setfiles( scantab )
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| 303 | self.scantab = scantab
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| 304 |
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| 305 | def setIF( self, ifno ):
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| 306 | """
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| 307 | Set IFNO to be processed. Currently, asapgrid allows to process
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| 308 | only one IFNO for one gridding run even if the data contains
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| 309 | multiple IFs. If you didn't specify IFNO, default value, which
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| 310 | is IFNO in the first spectrum, will be processed.
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| 311 |
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| 312 | ifno -- IFNO to be processed.
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| 313 | """
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| 314 | self.ifno = ifno
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| 315 | self.gridder._setif( self.ifno )
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| 316 |
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| 317 | def setPolList( self, pollist ):
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| 318 | """
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| 319 | Set list of polarization components you want to process.
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| 320 | If not specified, all POLNOs will be processed.
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| 321 |
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| 322 | pollist -- list of POLNOs.
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| 323 | """
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| 324 | self.gridder._setpollist( pollist )
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| 325 |
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| 326 | def setScanList( self, scanlist ):
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| 327 | """
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| 328 | Set list of scans you want to process. If not specified, all
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| 329 | scans will be processed.
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| 330 |
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| 331 | scanlist -- list of SCANNOs.
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| 332 | """
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| 333 | self.gridder._setscanlist( scanlist )
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| 334 |
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| 335 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ):
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| 336 | """
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| 337 | Define spatial grid.
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| 338 |
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| 339 | First two parameters, nx and ny, define number of pixels of
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| 340 | the grid. If which of those is not specified, it will be set
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| 341 | to the same value as the other. If none of them are specified,
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| 342 | it will be determined from map extent and cell size.
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| 343 |
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| 344 | Next two parameters, cellx and celly, define size of pixel.
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| 345 | You should set those parameters as string, which is constructed
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| 346 | numerical value and unit, e.g. '0.5arcmin', or numerical value.
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| 347 | If those values are specified as numerical value, their units
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| 348 | will be assumed to 'arcsec'. If which of those is not specified,
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| 349 | it will be set to the same value as the other. If none of them
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| 350 | are specified, it will be determined from map extent and number
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| 351 | of pixels, or set to '1arcmin' if neither nx nor ny is set.
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| 352 |
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| 353 | The last parameter, center, define the central coordinate of
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| 354 | the grid. You should specify its value as a string, like,
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| 355 |
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| 356 | 'J2000 05h08m50s -16d23m30s'
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| 357 |
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| 358 | or
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| 359 |
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| 360 | 'J2000 05:08:50 -16.23.30'
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| 361 |
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| 362 | You can omit equinox when you specify center coordinate. In that
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| 363 | case, J2000 is assumed. If center is not specified, it will be
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| 364 | determined from the observed positions of input data.
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| 365 |
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| 366 | nx -- number of pixels along x (R.A.) direction.
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| 367 | ny -- number of pixels along y (Dec.) direction.
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| 368 | cellx -- size of pixel in x (R.A.) direction.
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| 369 | celly -- size of pixel in y (Dec.) direction.
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| 370 | center -- central position of the grid.
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| 371 | """
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| 372 | if not isinstance( cellx, str ):
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| 373 | cellx = '%sarcsec'%(cellx)
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| 374 | if not isinstance( celly, str ):
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| 375 | celly = '%sarcsec'%(celly)
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| 376 | self.gridder._defineimage( nx, ny, cellx, celly, center )
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| 377 |
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| 378 | def setFunc( self, func='box', width=-1 ):
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| 379 | """
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| 380 | Set convolution function. Possible options are 'box' (Box-car,
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| 381 | default), 'sf' (prolate spheroidal), and 'gauss' (Gaussian).
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| 382 | Width of convolution function can be set using width parameter.
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| 383 | By default (-1), width is automatically set depending on each
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| 384 | convolution function. Default values for width are:
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| 385 |
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| 386 | 'box': 1 pixel
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| 387 | 'sf': 3 pixels
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| 388 | 'gauss': 1 pixel (width is used as HWHM)
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| 389 |
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| 390 | func -- Function type ('box', 'sf', 'gauss').
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| 391 | width -- Width of convolution function. Default (-1) is to
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| 392 | choose pre-defined value for each convolution function.
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| 393 | """
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| 394 | fname = func.upper()
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| 395 | if fname == 'GAUSS' or fname == 'GJINC':
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| 396 | gw = str(gwidth)
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| 397 | jw = str(jwidth)
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| 398 | w = str(width)
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| 399 | if w[0] == '-': w = ''
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| 400 | #self.gridder._setfunc(fname, -1, w, gw, jw)
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| 401 | self.gridder._setfunc(fname,convsupport=-1,gwidth=gw,jwidth=jw,truncate=w)
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| 402 | else:
|
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| 403 | self.gridder._setfunc( func, convsupport=width )
|
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| 404 |
|
|---|
| 405 | def setWeight( self, weightType='uniform' ):
|
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| 406 | """
|
|---|
| 407 | Set weight type. Possible options are 'uniform' (default),
|
|---|
| 408 | 'tint' (weight by integration time), 'tsys' (weight by
|
|---|
| 409 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time
|
|---|
| 410 | as well as Tsys: tint/Tsys**2).
|
|---|
| 411 |
|
|---|
| 412 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys')
|
|---|
| 413 | """
|
|---|
| 414 | self.gridder._setweight( weightType )
|
|---|
| 415 |
|
|---|
| 416 | def enableClip( self ):
|
|---|
| 417 | """
|
|---|
| 418 | Enable min/max clipping.
|
|---|
| 419 |
|
|---|
| 420 | By default, min/max clipping is disabled so that you should
|
|---|
| 421 | call this method before actual gridding if you want to do
|
|---|
| 422 | clipping.
|
|---|
| 423 | """
|
|---|
| 424 | self.gridder._enableclip()
|
|---|
| 425 |
|
|---|
| 426 | def disableClip( self ):
|
|---|
| 427 | """
|
|---|
| 428 | Disable min/max clipping.
|
|---|
| 429 | """
|
|---|
| 430 | self.gridder._disableclip()
|
|---|
| 431 |
|
|---|
| 432 | def grid( self ):
|
|---|
| 433 | """
|
|---|
| 434 | Actual gridding which will be done based on several user inputs.
|
|---|
| 435 | """
|
|---|
| 436 | self.gridder._grid()
|
|---|
| 437 |
|
|---|
| 438 | def getResult( self ):
|
|---|
| 439 | """
|
|---|
| 440 | Return gridded data as a scantable.
|
|---|
| 441 | """
|
|---|
| 442 | tp = 0 if rcParams['scantable.storage']=='memory' else 1
|
|---|
| 443 | return scantable( self.gridder._get( tp ), average=False )
|
|---|
| 444 |
|
|---|
| 445 | def plotFunc(self, clear=True):
|
|---|
| 446 | """
|
|---|
| 447 | Support function to see the shape of current grid function.
|
|---|
| 448 |
|
|---|
| 449 | clear -- clear panel if True. Default is True.
|
|---|
| 450 | """
|
|---|
| 451 | pl.figure(11)
|
|---|
| 452 | if clear:
|
|---|
| 453 | pl.clf()
|
|---|
| 454 | f = self.gridder._getfunc()
|
|---|
| 455 | convsampling = 100
|
|---|
| 456 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float)
|
|---|
| 457 | pl.plot(a,f,'.-')
|
|---|
| 458 | pl.xlabel('pixel')
|
|---|
| 459 | pl.ylabel('convFunc')
|
|---|
| 460 |
|
|---|
| 461 | class _SDGridPlotter:
|
|---|
| 462 | def __init__( self, infile, outfile=None, ifno=-1 ):
|
|---|
| 463 | if isinstance( infile, str ):
|
|---|
| 464 | self.infile = [infile]
|
|---|
| 465 | else:
|
|---|
| 466 | self.infile = infile
|
|---|
| 467 | self.outfile = outfile
|
|---|
| 468 | if self.outfile is None:
|
|---|
| 469 | self.outfile = self.infile[0].rstrip('/')+'.grid'
|
|---|
| 470 | self.nx = -1
|
|---|
| 471 | self.ny = -1
|
|---|
| 472 | self.nchan = 0
|
|---|
| 473 | self.npol = 0
|
|---|
| 474 | self.pollist = []
|
|---|
| 475 | self.cellx = 0.0
|
|---|
| 476 | self.celly = 0.0
|
|---|
| 477 | self.center = [0.0,0.0]
|
|---|
| 478 | self.nonzero = [[0.0],[0.0]]
|
|---|
| 479 | self.ifno = ifno
|
|---|
| 480 | self.tablein = None
|
|---|
| 481 | self.nrow = 0
|
|---|
| 482 | self.blc = None
|
|---|
| 483 | self.trc = None
|
|---|
| 484 | self.get()
|
|---|
| 485 |
|
|---|
| 486 | def get( self ):
|
|---|
| 487 | s = scantable( self.outfile, average=False )
|
|---|
| 488 | self.nchan = len(s._getspectrum(0))
|
|---|
| 489 | nrow = s.nrow()
|
|---|
| 490 | pols = numpy.ones( nrow, dtype=int )
|
|---|
| 491 | for i in xrange(nrow):
|
|---|
| 492 | pols[i] = s.getpol(i)
|
|---|
| 493 | self.pollist, indices = numpy.unique( pols, return_inverse=True )
|
|---|
| 494 | self.npol = len(self.pollist)
|
|---|
| 495 | self.pollist = self.pollist[indices[:self.npol]]
|
|---|
| 496 | #print 'pollist=',self.pollist
|
|---|
| 497 | #print 'npol=',self.npol
|
|---|
| 498 | #print 'nrow=',nrow
|
|---|
| 499 |
|
|---|
| 500 | idx = 1
|
|---|
| 501 | d0 = s.get_direction( 0 ).split()[-2]
|
|---|
| 502 | d = s.get_direction(self.npol*idx)
|
|---|
| 503 | while( d is not None \
|
|---|
| 504 | and d.split()[-2] != d0):
|
|---|
| 505 | idx += 1
|
|---|
| 506 | d = s.get_direction(self.npol*idx)
|
|---|
| 507 |
|
|---|
| 508 | self.nx = idx
|
|---|
| 509 | self.ny = nrow / (self.npol * idx )
|
|---|
| 510 | #print 'nx,ny=',self.nx,self.ny
|
|---|
| 511 |
|
|---|
| 512 | self.blc = s.get_directionval( 0 )
|
|---|
| 513 | self.trc = s.get_directionval( nrow-self.npol )
|
|---|
| 514 | #print self.blc
|
|---|
| 515 | #print self.trc
|
|---|
| 516 | if nrow > 1:
|
|---|
| 517 | incrx = s.get_directionval( self.npol )
|
|---|
| 518 | incry = s.get_directionval( self.nx*self.npol )
|
|---|
| 519 | else:
|
|---|
| 520 | incrx = [0.0,0.0]
|
|---|
| 521 | incry = [0.0,0.0]
|
|---|
| 522 | self.cellx = abs( self.blc[0] - incrx[0] )
|
|---|
| 523 | self.celly = abs( self.blc[1] - incry[1] )
|
|---|
| 524 | #print 'cellx,celly=',self.cellx,self.celly
|
|---|
| 525 |
|
|---|
| 526 | def plot( self, chan=-1, pol=-1, plotobs=False, plotgrid=False ):
|
|---|
| 527 | if pol < 0:
|
|---|
| 528 | opt = 'averaged over pol'
|
|---|
| 529 | else:
|
|---|
| 530 | opt = 'pol %s'%(pol)
|
|---|
| 531 | if type(chan) is list:
|
|---|
| 532 | opt += ', averaged over channel %s-%s'%(chan[0],chan[1])
|
|---|
| 533 | elif chan < 0:
|
|---|
| 534 | opt += ', averaged over channel'
|
|---|
| 535 | else:
|
|---|
| 536 | opt += ', channel %s'%(chan)
|
|---|
| 537 | data = self.getData( chan, pol )
|
|---|
| 538 | #data = numpy.fliplr( data )
|
|---|
| 539 | title = 'Gridded Image (%s)'%(opt)
|
|---|
| 540 | pl.figure(10)
|
|---|
| 541 | pl.clf()
|
|---|
| 542 | # plot grid position
|
|---|
| 543 | if plotgrid:
|
|---|
| 544 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float)
|
|---|
| 545 | #print 'len(x)=',len(x)
|
|---|
| 546 | #print 'x=',x
|
|---|
| 547 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1]
|
|---|
| 548 | #print 'len(ybase)=',len(ybase)
|
|---|
| 549 | incr = self.celly
|
|---|
| 550 | for iy in xrange(self.ny):
|
|---|
| 551 | y = ybase + iy * incr
|
|---|
| 552 | #print y
|
|---|
| 553 | pl.plot(x,y,',',color='blue')
|
|---|
| 554 | # plot observed position
|
|---|
| 555 | if plotobs:
|
|---|
| 556 | for i in xrange(len(self.infile)):
|
|---|
| 557 | self.createTableIn( self.infile[i] )
|
|---|
| 558 | irow = 0
|
|---|
| 559 | while ( irow < self.nrow ):
|
|---|
| 560 | chunk = self.getPointingChunk( irow )
|
|---|
| 561 | #print chunk
|
|---|
| 562 | pl.plot(chunk[0],chunk[1],',',color='green')
|
|---|
| 563 | irow += chunk.shape[1]
|
|---|
| 564 | #print irow
|
|---|
| 565 | # show image
|
|---|
| 566 | extent=[self.trc[0]+0.5*self.cellx,
|
|---|
| 567 | self.blc[0]-0.5*self.cellx,
|
|---|
| 568 | self.blc[1]-0.5*self.celly,
|
|---|
| 569 | self.trc[1]+0.5*self.celly]
|
|---|
| 570 | deccorr = 1.0/numpy.cos(0.5*(self.blc[1]+self.trc[1]))
|
|---|
| 571 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest')
|
|---|
| 572 | pl.colorbar()
|
|---|
| 573 | pl.xlabel('R.A. [rad]')
|
|---|
| 574 | pl.ylabel('Dec. [rad]')
|
|---|
| 575 | ax = pl.axes()
|
|---|
| 576 | ax.set_aspect(deccorr)
|
|---|
| 577 | pl.title( title )
|
|---|
| 578 |
|
|---|
| 579 | def createTableIn( self, tab ):
|
|---|
| 580 | del self.tablein
|
|---|
| 581 | self.tablein = scantable( tab, average=False )
|
|---|
| 582 | if self.ifno < 0:
|
|---|
| 583 | ifno = self.tablein.getif(0)
|
|---|
| 584 | #print 'ifno=',ifno
|
|---|
| 585 | else:
|
|---|
| 586 | ifno = self.ifno
|
|---|
| 587 | sel = selector()
|
|---|
| 588 | sel.set_ifs( ifno )
|
|---|
| 589 | self.tablein.set_selection( sel )
|
|---|
| 590 | self.nchan = len(self.tablein._getspectrum(0))
|
|---|
| 591 | self.nrow = self.tablein.nrow()
|
|---|
| 592 | del sel
|
|---|
| 593 |
|
|---|
| 594 |
|
|---|
| 595 | def getPointingChunk( self, irow ):
|
|---|
| 596 | numchunk = 1000
|
|---|
| 597 | nrow = min( self.nrow-irow, numchunk )
|
|---|
| 598 | #print 'nrow=',nrow
|
|---|
| 599 | v = numpy.zeros( (2,nrow), dtype=float )
|
|---|
| 600 | idx = 0
|
|---|
| 601 | for i in xrange(irow,irow+nrow):
|
|---|
| 602 | d = self.tablein.get_directionval( i )
|
|---|
| 603 | v[0,idx] = d[0]
|
|---|
| 604 | v[1,idx] = d[1]
|
|---|
| 605 | idx += 1
|
|---|
| 606 | return v
|
|---|
| 607 |
|
|---|
| 608 | def getData( self, chan=-1, pol=-1 ):
|
|---|
| 609 | if type(chan) == list:
|
|---|
| 610 | spectra = self.__chanAverage(start=chan[0],end=chan[1])
|
|---|
| 611 | elif chan == -1:
|
|---|
| 612 | spectra = self.__chanAverage()
|
|---|
| 613 | else:
|
|---|
| 614 | spectra = self.__chanIndex( chan )
|
|---|
| 615 | data = spectra.reshape( (self.npol,self.ny,self.nx) )
|
|---|
| 616 | if pol == -1:
|
|---|
| 617 | retval = data.mean(axis=0)
|
|---|
| 618 | else:
|
|---|
| 619 | retval = data[pol]
|
|---|
| 620 | return retval
|
|---|
| 621 |
|
|---|
| 622 | def __chanAverage( self, start=-1, end=-1 ):
|
|---|
| 623 | s = scantable( self.outfile, average=False )
|
|---|
| 624 | nrow = s.nrow()
|
|---|
| 625 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
|
|---|
| 626 | irow = 0
|
|---|
| 627 | sp = [0 for i in xrange(self.nchan)]
|
|---|
| 628 | if start < 0:
|
|---|
| 629 | start = 0
|
|---|
| 630 | if end < 0:
|
|---|
| 631 | end = self.nchan
|
|---|
| 632 | for i in xrange(nrow/self.npol):
|
|---|
| 633 | for ip in xrange(self.npol):
|
|---|
| 634 | sp = s._getspectrum( irow )[start:end]
|
|---|
| 635 | spectra[ip,i] = numpy.mean( sp )
|
|---|
| 636 | irow += 1
|
|---|
| 637 |
|
|---|
| 638 | return spectra
|
|---|
| 639 |
|
|---|
| 640 | def __chanIndex( self, idx ):
|
|---|
| 641 | s = scantable( self.outfile, average=False )
|
|---|
| 642 | nrow = s.nrow()
|
|---|
| 643 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
|
|---|
| 644 | irow = 0
|
|---|
| 645 | sp = [0 for i in xrange(self.nchan)]
|
|---|
| 646 | for i in xrange(nrow/self.npol):
|
|---|
| 647 | for ip in xrange(self.npol):
|
|---|
| 648 | sp = s._getspectrum( irow )
|
|---|
| 649 | spectra[ip,i] = sp[idx]
|
|---|
| 650 | irow += 1
|
|---|
| 651 | return spectra
|
|---|
| 652 |
|
|---|
| 653 |
|
|---|
