[2356] | 1 | import numpy
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[2367] | 2 | from asap import rcParams
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[2356] | 3 | from asap.scantable import scantable
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[2367] | 4 | from asap.selector import selector
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[2593] | 5 | from asap._asap import stgrid, stgrid2
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[2356] | 6 | import pylab as pl
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[2367] | 7 | from logging import asaplog
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[2356] | 8 |
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| 9 | class asapgrid:
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[2391] | 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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[2679] | 27 | g.setFunc( func='sf', convsupport=3 )
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[2397] | 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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[2391] | 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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[2356] | 39 | def __init__( self, infile ):
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[2391] | 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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[2356] | 46 | self.outfile = None
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[2367] | 47 | self.ifno = None
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[2390] | 48 | self.gridder = stgrid()
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| 49 | self.setData( infile )
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[2356] | 50 |
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| 51 | def setData( self, infile ):
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[2391] | 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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[2390] | 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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[2356] | 63 |
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[2362] | 64 | def setIF( self, ifno ):
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[2391] | 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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[2367] | 73 | self.ifno = ifno
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| 74 | self.gridder._setif( self.ifno )
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[2362] | 75 |
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[2360] | 76 | def setPolList( self, pollist ):
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[2391] | 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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[2360] | 83 | self.gridder._setpollist( pollist )
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| 84 |
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[2364] | 85 | def setScanList( self, scanlist ):
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[2391] | 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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[2364] | 92 | self.gridder._setscanlist( scanlist )
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| 93 |
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[2356] | 94 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ):
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[2391] | 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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[2421] | 107 | will be assumed to 'arcsec'. If which of those is not specified,
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[2391] | 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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[2421] | 132 | cellx = '%sarcsec'%(cellx)
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[2391] | 133 | if not isinstance( celly, str ):
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[2421] | 134 | celly = '%sarcsec'%(celly)
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[2356] | 135 | self.gridder._defineimage( nx, ny, cellx, celly, center )
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| 136 |
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[2678] | 137 | def setFunc( self, func='box', convsupport=-1, truncate="-1", gwidth="-1", jwidth="-1" ):
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[2391] | 138 | """
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| 139 | Set convolution function. Possible options are 'box' (Box-car,
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[2679] | 140 | default), 'sf' (prolate spheroidal), 'gauss' (Gaussian), and
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| 141 | 'gjinc' (Gaussian * Jinc).
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| 142 | Width of convolution function can be set using several parameters.
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| 143 | For 'box' and 'sf', we have one parameter, convsupport, that
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| 144 | specifies a cut-off radius of the convlolution function. By default
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| 145 | (-1), convsupport is automatically set depending on each convolution
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| 146 | function. Default values for convsupport are:
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[2391] | 147 |
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| 148 | 'box': 1 pixel
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| 149 | 'sf': 3 pixels
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| 150 |
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[2679] | 151 | For 'gauss', we have two parameters for convolution function,
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| 152 | truncate and gwidth. The truncate is similar to convsupport
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| 153 | except that truncate allows to specify its value as float or
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| 154 | string consisting of numeric and unit (e.g. '10arcsec' or
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| 155 | '3pixel'). Available units are angular units ('arcsec', 'arcmin',
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| 156 | 'deg', etc.) and 'pixel'. Default unit is 'pixel' so that if
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| 157 | you specify numerical value or string without unit to gwidth,
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| 158 | the value will be interpreted as 'pixel'. gwidth is an HWHM of
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| 159 | gaussian. It also allows string value. Interpretation of the
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| 160 | value for gwidth is same as truncate. Default value for 'gauss'
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| 161 | is
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| 162 |
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| 163 | gwidth: '-1' ---> sqrt(log(2.0)) pixel
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| 164 | truncate: '-1' ---> 3*gwidth pixel
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| 165 |
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| 166 | For 'gjinc', there is an additional parameter jwidth that
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| 167 | specifies a width of the jinc function whose functional form is
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| 168 |
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| 169 | jinc(x) = J_1(pi*x/jwidth) / (pi*x/jwidth)
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| 170 |
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| 171 | Default values for 'gjinc' is
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| 172 |
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| 173 | gwidth: '-1' ---> 2.52*sqrt(log(2.0)) pixel
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| 174 | jwidth: '-1' ---> 1.55
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| 175 | truncate: '-1' ---> automatically truncate at first null
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| 176 |
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| 177 | Default values for gwidth and jwidth are taken from Mangum et al.
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| 178 | (2007).
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| 179 |
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| 180 | func -- Function type ('box', 'sf', 'gauss', 'gjinc').
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| 181 | convsupport -- Width of convolution function. Default (-1) is
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| 182 | to choose pre-defined value for each convolution
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| 183 | function. Effective only for 'box' and 'sf'.
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| 184 | truncate -- Truncation radius of the convolution function.
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| 185 | Acceptable value is an integer or a float in units of
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| 186 | pixel, or a string consisting of numeric plus unit.
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| 187 | Default unit for the string is 'pixel'. Default (-1)
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| 188 | is to choose pre-defined value for each convolution
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| 189 | function. Effective only for 'gauss' and 'gjinc'.
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| 190 | gwidth -- The HWHM of the gaussian. Acceptable value is an integer
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| 191 | or a float in units of pixel, or a string consisting of
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| 192 | numeric plus unit. Default unit for the string is 'pixel'.
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| 193 | Default (-1) is to choose pre-defined value for each
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| 194 | convolution function. Effective only for 'gauss' and
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| 195 | 'gjinc'.
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| 196 | jwidth -- The width of the jinc function. Acceptable value is an
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| 197 | integer or a float in units of pixel, or a string
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| 198 | consisting of numeric plus unit. Default unit for the
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| 199 | string is 'pixel'. Default (-1) is to choose pre-defined
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| 200 | value for each convolution function. Effective only for
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| 201 | 'gjinc'.
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[2391] | 202 | """
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[2678] | 203 | self.gridder._setfunc(func,
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| 204 | convsupport=convsupport,
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| 205 | truncate=truncate,
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| 206 | gwidth=gwidth,
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| 207 | jwidth=jwidth)
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[2356] | 208 |
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[2361] | 209 | def setWeight( self, weightType='uniform' ):
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[2391] | 210 | """
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| 211 | Set weight type. Possible options are 'uniform' (default),
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| 212 | 'tint' (weight by integration time), 'tsys' (weight by
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| 213 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time
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| 214 | as well as Tsys: tint/Tsys**2).
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| 215 |
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| 216 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys')
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| 217 | """
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[2396] | 218 | self.gridder._setweight( weightType )
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[2361] | 219 |
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[2396] | 220 | def enableClip( self ):
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| 221 | """
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| 222 | Enable min/max clipping.
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| 223 |
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| 224 | By default, min/max clipping is disabled so that you should
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| 225 | call this method before actual gridding if you want to do
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| 226 | clipping.
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| 227 | """
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| 228 | self.gridder._enableclip()
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| 229 |
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| 230 | def disableClip( self ):
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| 231 | """
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| 232 | Disable min/max clipping.
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| 233 | """
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| 234 | self.gridder._disableclip()
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| 235 |
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[2356] | 236 | def grid( self ):
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[2391] | 237 | """
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| 238 | Actual gridding which will be done based on several user inputs.
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| 239 | """
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[2356] | 240 | self.gridder._grid()
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| 241 |
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| 242 | def save( self, outfile='' ):
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[2391] | 243 | """
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| 244 | Save result. By default, output data name will be constructed
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| 245 | from first element of input data name list (e.g. 'input.asap.grid').
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| 246 |
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| 247 | outfile -- output data name.
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| 248 | """
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[2356] | 249 | self.outfile = self.gridder._save( outfile )
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| 250 |
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[2375] | 251 | def plot( self, plotchan=-1, plotpol=-1, plotobs=False, plotgrid=False ):
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[2391] | 252 | """
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| 253 | Plot gridded data.
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| 254 |
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| 255 | plotchan -- Which channel you want to plot. Default (-1) is
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| 256 | to average all the channels.
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| 257 | plotpol -- Which polarization component you want to plot.
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| 258 | Default (-1) is to average all the polarization
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| 259 | components.
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| 260 | plotobs -- Also plot observed position if True. Default
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| 261 | is False. Setting True for large amount of spectra
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| 262 | might be time consuming.
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| 263 | plotgrid -- Also plot grid center if True. Default is False.
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| 264 | Setting True for large number of grids might be
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| 265 | time consuming.
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| 266 | """
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[2367] | 267 | import time
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| 268 | t0=time.time()
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| 269 | # to load scantable on disk
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| 270 | storg = rcParams['scantable.storage']
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| 271 | rcParams['scantable.storage'] = 'disk'
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| 272 | plotter = _SDGridPlotter( self.infile, self.outfile, self.ifno )
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[2375] | 273 | plotter.plot( chan=plotchan, pol=plotpol, plotobs=plotobs, plotgrid=plotgrid )
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[2367] | 274 | # back to original setup
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| 275 | rcParams['scantable.storage'] = storg
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| 276 | t1=time.time()
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| 277 | asaplog.push('plot: elapsed time %s sec'%(t1-t0))
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| 278 | asaplog.post('DEBUG','asapgrid.plot')
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[2671] | 279 |
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| 280 | def plotFunc(self, clear=True):
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| 281 | """
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| 282 | Support function to see the shape of current grid function.
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| 283 |
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| 284 | clear -- clear panel if True. Default is True.
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| 285 | """
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| 286 | pl.figure(11)
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| 287 | if clear:
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| 288 | pl.clf()
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| 289 | f = self.gridder._getfunc()
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| 290 | convsampling = 100
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| 291 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float)
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| 292 | pl.plot(a,f,'.-')
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| 293 | pl.xlabel('pixel')
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| 294 | pl.ylabel('convFunc')
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[2356] | 295 |
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[2593] | 296 | class asapgrid2:
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| 297 | """
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| 298 | The asapgrid class is defined to convolve data onto regular
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| 299 | spatial grid. Typical usage is as follows:
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| 300 |
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| 301 | # create asapgrid instance with input scantable
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| 302 | s = scantable( 'testimage1.asap', average=False )
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| 303 | g = asapgrid( s )
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| 304 | # set IFNO if necessary
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| 305 | g.setIF( 0 )
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| 306 | # set POLNOs if necessary
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| 307 | g.setPolList( [0,1] )
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| 308 | # set SCANNOs if necessary
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| 309 | g.setScanList( [22,23,24] )
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| 310 | # define image with full specification
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| 311 | # you can skip some parameters (see help for defineImage)
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| 312 | g.defineImage( nx=12, ny=12, cellx='10arcsec', celly='10arcsec',
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| 313 | center='J2000 10h10m10s -5d05m05s' )
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| 314 | # set convolution function
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| 315 | g.setFunc( func='sf', width=3 )
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| 316 | # enable min/max clipping
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| 317 | g.enableClip()
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| 318 | # or, disable min/max clipping
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| 319 | #g.disableClip()
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| 320 | # actual gridding
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| 321 | g.grid()
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| 322 | # get result as scantable
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| 323 | sg = g.getResult()
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| 324 | """
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| 325 | def __init__( self, scantab ):
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| 326 | """
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| 327 | Create asapgrid instance.
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| 328 |
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| 329 | scantab -- input data as a scantable or a list of scantables
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| 330 | to grid more than one data at once.
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| 331 | """
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| 332 | self.outfile = None
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| 333 | self.ifno = None
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| 334 | self.gridder = stgrid2()
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| 335 | self.setData( scantab )
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| 336 |
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| 337 | def setData( self, scantab ):
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| 338 | """
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| 339 | Set data to be processed.
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| 340 |
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| 341 | scantab -- input data as a scantable or a list of scantables
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| 342 | to grid more than one data at once.
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| 343 | """
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| 344 | if isinstance( scantab, scantable ):
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| 345 | self.gridder._setin( scantab )
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| 346 | else:
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| 347 | self.gridder._setfiles( scantab )
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| 348 | self.scantab = scantab
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| 349 |
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| 350 | def setIF( self, ifno ):
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| 351 | """
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| 352 | Set IFNO to be processed. Currently, asapgrid allows to process
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| 353 | only one IFNO for one gridding run even if the data contains
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| 354 | multiple IFs. If you didn't specify IFNO, default value, which
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| 355 | is IFNO in the first spectrum, will be processed.
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| 356 |
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| 357 | ifno -- IFNO to be processed.
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| 358 | """
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| 359 | self.ifno = ifno
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| 360 | self.gridder._setif( self.ifno )
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| 361 |
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| 362 | def setPolList( self, pollist ):
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| 363 | """
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| 364 | Set list of polarization components you want to process.
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| 365 | If not specified, all POLNOs will be processed.
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| 366 |
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| 367 | pollist -- list of POLNOs.
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| 368 | """
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| 369 | self.gridder._setpollist( pollist )
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| 370 |
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| 371 | def setScanList( self, scanlist ):
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| 372 | """
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| 373 | Set list of scans you want to process. If not specified, all
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| 374 | scans will be processed.
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| 375 |
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| 376 | scanlist -- list of SCANNOs.
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| 377 | """
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| 378 | self.gridder._setscanlist( scanlist )
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| 379 |
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| 380 | def defineImage( self, nx=-1, ny=-1, cellx='', celly='', center='' ):
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| 381 | """
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| 382 | Define spatial grid.
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| 383 |
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| 384 | First two parameters, nx and ny, define number of pixels of
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| 385 | the grid. If which of those is not specified, it will be set
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| 386 | to the same value as the other. If none of them are specified,
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| 387 | it will be determined from map extent and cell size.
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| 388 |
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| 389 | Next two parameters, cellx and celly, define size of pixel.
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| 390 | You should set those parameters as string, which is constructed
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| 391 | numerical value and unit, e.g. '0.5arcmin', or numerical value.
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| 392 | If those values are specified as numerical value, their units
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| 393 | will be assumed to 'arcsec'. If which of those is not specified,
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| 394 | it will be set to the same value as the other. If none of them
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| 395 | are specified, it will be determined from map extent and number
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| 396 | of pixels, or set to '1arcmin' if neither nx nor ny is set.
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| 397 |
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| 398 | The last parameter, center, define the central coordinate of
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| 399 | the grid. You should specify its value as a string, like,
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| 400 |
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| 401 | 'J2000 05h08m50s -16d23m30s'
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| 402 |
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| 403 | or
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| 404 |
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| 405 | 'J2000 05:08:50 -16.23.30'
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| 406 |
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| 407 | You can omit equinox when you specify center coordinate. In that
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| 408 | case, J2000 is assumed. If center is not specified, it will be
|
---|
| 409 | determined from the observed positions of input data.
|
---|
| 410 |
|
---|
| 411 | nx -- number of pixels along x (R.A.) direction.
|
---|
| 412 | ny -- number of pixels along y (Dec.) direction.
|
---|
| 413 | cellx -- size of pixel in x (R.A.) direction.
|
---|
| 414 | celly -- size of pixel in y (Dec.) direction.
|
---|
| 415 | center -- central position of the grid.
|
---|
| 416 | """
|
---|
| 417 | if not isinstance( cellx, str ):
|
---|
| 418 | cellx = '%sarcsec'%(cellx)
|
---|
| 419 | if not isinstance( celly, str ):
|
---|
| 420 | celly = '%sarcsec'%(celly)
|
---|
| 421 | self.gridder._defineimage( nx, ny, cellx, celly, center )
|
---|
| 422 |
|
---|
| 423 | def setFunc( self, func='box', width=-1 ):
|
---|
| 424 | """
|
---|
| 425 | Set convolution function. Possible options are 'box' (Box-car,
|
---|
| 426 | default), 'sf' (prolate spheroidal), and 'gauss' (Gaussian).
|
---|
| 427 | Width of convolution function can be set using width parameter.
|
---|
| 428 | By default (-1), width is automatically set depending on each
|
---|
| 429 | convolution function. Default values for width are:
|
---|
| 430 |
|
---|
| 431 | 'box': 1 pixel
|
---|
| 432 | 'sf': 3 pixels
|
---|
| 433 | 'gauss': 1 pixel (width is used as HWHM)
|
---|
| 434 |
|
---|
| 435 | func -- Function type ('box', 'sf', 'gauss').
|
---|
| 436 | width -- Width of convolution function. Default (-1) is to
|
---|
| 437 | choose pre-defined value for each convolution function.
|
---|
| 438 | """
|
---|
[2671] | 439 | fname = func.upper()
|
---|
| 440 | if fname == 'GAUSS' or fname == 'GJINC':
|
---|
| 441 | gw = str(gwidth)
|
---|
| 442 | jw = str(jwidth)
|
---|
| 443 | w = str(width)
|
---|
| 444 | if w[0] == '-': w = ''
|
---|
| 445 | #self.gridder._setfunc(fname, -1, w, gw, jw)
|
---|
| 446 | self.gridder._setfunc(fname,convsupport=-1,gwidth=gw,jwidth=jw,truncate=w)
|
---|
| 447 | else:
|
---|
| 448 | self.gridder._setfunc( func, convsupport=width )
|
---|
[2593] | 449 |
|
---|
| 450 | def setWeight( self, weightType='uniform' ):
|
---|
| 451 | """
|
---|
| 452 | Set weight type. Possible options are 'uniform' (default),
|
---|
| 453 | 'tint' (weight by integration time), 'tsys' (weight by
|
---|
| 454 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time
|
---|
| 455 | as well as Tsys: tint/Tsys**2).
|
---|
| 456 |
|
---|
| 457 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys')
|
---|
| 458 | """
|
---|
| 459 | self.gridder._setweight( weightType )
|
---|
| 460 |
|
---|
| 461 | def enableClip( self ):
|
---|
| 462 | """
|
---|
| 463 | Enable min/max clipping.
|
---|
| 464 |
|
---|
| 465 | By default, min/max clipping is disabled so that you should
|
---|
| 466 | call this method before actual gridding if you want to do
|
---|
| 467 | clipping.
|
---|
| 468 | """
|
---|
| 469 | self.gridder._enableclip()
|
---|
| 470 |
|
---|
| 471 | def disableClip( self ):
|
---|
| 472 | """
|
---|
| 473 | Disable min/max clipping.
|
---|
| 474 | """
|
---|
| 475 | self.gridder._disableclip()
|
---|
| 476 |
|
---|
| 477 | def grid( self ):
|
---|
| 478 | """
|
---|
| 479 | Actual gridding which will be done based on several user inputs.
|
---|
| 480 | """
|
---|
| 481 | self.gridder._grid()
|
---|
| 482 |
|
---|
| 483 | def getResult( self ):
|
---|
| 484 | """
|
---|
| 485 | Return gridded data as a scantable.
|
---|
| 486 | """
|
---|
[2594] | 487 | tp = 0 if rcParams['scantable.storage']=='memory' else 1
|
---|
| 488 | return scantable( self.gridder._get( tp ), average=False )
|
---|
[2671] | 489 |
|
---|
| 490 | def plotFunc(self, clear=True):
|
---|
| 491 | """
|
---|
| 492 | Support function to see the shape of current grid function.
|
---|
[2593] | 493 |
|
---|
[2671] | 494 | clear -- clear panel if True. Default is True.
|
---|
| 495 | """
|
---|
| 496 | pl.figure(11)
|
---|
| 497 | if clear:
|
---|
| 498 | pl.clf()
|
---|
| 499 | f = self.gridder._getfunc()
|
---|
| 500 | convsampling = 100
|
---|
| 501 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float)
|
---|
| 502 | pl.plot(a,f,'.-')
|
---|
| 503 | pl.xlabel('pixel')
|
---|
| 504 | pl.ylabel('convFunc')
|
---|
| 505 |
|
---|
[2356] | 506 | class _SDGridPlotter:
|
---|
[2373] | 507 | def __init__( self, infile, outfile=None, ifno=-1 ):
|
---|
[2390] | 508 | if isinstance( infile, str ):
|
---|
| 509 | self.infile = [infile]
|
---|
| 510 | else:
|
---|
| 511 | self.infile = infile
|
---|
[2356] | 512 | self.outfile = outfile
|
---|
| 513 | if self.outfile is None:
|
---|
[2390] | 514 | self.outfile = self.infile[0].rstrip('/')+'.grid'
|
---|
[2356] | 515 | self.nx = -1
|
---|
| 516 | self.ny = -1
|
---|
| 517 | self.nchan = 0
|
---|
[2360] | 518 | self.npol = 0
|
---|
| 519 | self.pollist = []
|
---|
[2356] | 520 | self.cellx = 0.0
|
---|
| 521 | self.celly = 0.0
|
---|
| 522 | self.center = [0.0,0.0]
|
---|
| 523 | self.nonzero = [[0.0],[0.0]]
|
---|
[2367] | 524 | self.ifno = ifno
|
---|
[2372] | 525 | self.tablein = None
|
---|
| 526 | self.nrow = 0
|
---|
| 527 | self.blc = None
|
---|
| 528 | self.trc = None
|
---|
[2356] | 529 | self.get()
|
---|
| 530 |
|
---|
| 531 | def get( self ):
|
---|
| 532 | s = scantable( self.outfile, average=False )
|
---|
[2387] | 533 | self.nchan = len(s._getspectrum(0))
|
---|
[2356] | 534 | nrow = s.nrow()
|
---|
[2360] | 535 | pols = numpy.ones( nrow, dtype=int )
|
---|
[2356] | 536 | for i in xrange(nrow):
|
---|
[2360] | 537 | pols[i] = s.getpol(i)
|
---|
| 538 | self.pollist, indices = numpy.unique( pols, return_inverse=True )
|
---|
| 539 | self.npol = len(self.pollist)
|
---|
| 540 | self.pollist = self.pollist[indices[:self.npol]]
|
---|
| 541 | #print 'pollist=',self.pollist
|
---|
| 542 | #print 'npol=',self.npol
|
---|
| 543 | #print 'nrow=',nrow
|
---|
[2356] | 544 |
|
---|
[2669] | 545 | idx = 1
|
---|
| 546 | d0 = s.get_direction( 0 ).split()[-2]
|
---|
| 547 | d = s.get_direction(self.npol*idx)
|
---|
| 548 | while( d is not None \
|
---|
| 549 | and d.split()[-2] != d0):
|
---|
[2356] | 550 | idx += 1
|
---|
[2669] | 551 | d = s.get_direction(self.npol*idx)
|
---|
[2367] | 552 |
|
---|
[2372] | 553 | self.nx = idx
|
---|
| 554 | self.ny = nrow / (self.npol * idx )
|
---|
[2360] | 555 | #print 'nx,ny=',self.nx,self.ny
|
---|
[2372] | 556 |
|
---|
| 557 | self.blc = s.get_directionval( 0 )
|
---|
| 558 | self.trc = s.get_directionval( nrow-self.npol )
|
---|
| 559 | #print self.blc
|
---|
| 560 | #print self.trc
|
---|
[2421] | 561 | if nrow > 1:
|
---|
| 562 | incrx = s.get_directionval( self.npol )
|
---|
| 563 | incry = s.get_directionval( self.nx*self.npol )
|
---|
| 564 | else:
|
---|
| 565 | incrx = [0.0,0.0]
|
---|
| 566 | incry = [0.0,0.0]
|
---|
[2372] | 567 | self.cellx = abs( self.blc[0] - incrx[0] )
|
---|
| 568 | self.celly = abs( self.blc[1] - incry[1] )
|
---|
[2360] | 569 | #print 'cellx,celly=',self.cellx,self.celly
|
---|
[2356] | 570 |
|
---|
[2375] | 571 | def plot( self, chan=-1, pol=-1, plotobs=False, plotgrid=False ):
|
---|
[2360] | 572 | if pol < 0:
|
---|
| 573 | opt = 'averaged over pol'
|
---|
[2356] | 574 | else:
|
---|
[2360] | 575 | opt = 'pol %s'%(pol)
|
---|
[2419] | 576 | if type(chan) is list:
|
---|
| 577 | opt += ', averaged over channel %s-%s'%(chan[0],chan[1])
|
---|
| 578 | elif chan < 0:
|
---|
[2360] | 579 | opt += ', averaged over channel'
|
---|
| 580 | else:
|
---|
| 581 | opt += ', channel %s'%(chan)
|
---|
[2423] | 582 | data = self.getData( chan, pol )
|
---|
[2669] | 583 | #data = numpy.fliplr( data )
|
---|
[2360] | 584 | title = 'Gridded Image (%s)'%(opt)
|
---|
[2356] | 585 | pl.figure(10)
|
---|
| 586 | pl.clf()
|
---|
[2372] | 587 | # plot grid position
|
---|
[2375] | 588 | if plotgrid:
|
---|
| 589 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float)
|
---|
| 590 | #print 'len(x)=',len(x)
|
---|
| 591 | #print 'x=',x
|
---|
| 592 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1]
|
---|
| 593 | #print 'len(ybase)=',len(ybase)
|
---|
| 594 | incr = self.celly
|
---|
| 595 | for iy in xrange(self.ny):
|
---|
| 596 | y = ybase + iy * incr
|
---|
| 597 | #print y
|
---|
| 598 | pl.plot(x,y,',',color='blue')
|
---|
[2372] | 599 | # plot observed position
|
---|
[2375] | 600 | if plotobs:
|
---|
[2390] | 601 | for i in xrange(len(self.infile)):
|
---|
| 602 | self.createTableIn( self.infile[i] )
|
---|
| 603 | irow = 0
|
---|
| 604 | while ( irow < self.nrow ):
|
---|
| 605 | chunk = self.getPointingChunk( irow )
|
---|
| 606 | #print chunk
|
---|
| 607 | pl.plot(chunk[0],chunk[1],',',color='green')
|
---|
| 608 | irow += chunk.shape[1]
|
---|
| 609 | #print irow
|
---|
[2372] | 610 | # show image
|
---|
[2423] | 611 | extent=[self.trc[0]+0.5*self.cellx,
|
---|
| 612 | self.blc[0]-0.5*self.cellx,
|
---|
[2372] | 613 | self.blc[1]-0.5*self.celly,
|
---|
| 614 | self.trc[1]+0.5*self.celly]
|
---|
[2420] | 615 | deccorr = 1.0/numpy.cos(0.5*(self.blc[1]+self.trc[1]))
|
---|
[2356] | 616 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest')
|
---|
| 617 | pl.colorbar()
|
---|
| 618 | pl.xlabel('R.A. [rad]')
|
---|
| 619 | pl.ylabel('Dec. [rad]')
|
---|
[2420] | 620 | ax = pl.axes()
|
---|
| 621 | ax.set_aspect(deccorr)
|
---|
[2358] | 622 | pl.title( title )
|
---|
[2367] | 623 |
|
---|
[2390] | 624 | def createTableIn( self, tab ):
|
---|
| 625 | del self.tablein
|
---|
| 626 | self.tablein = scantable( tab, average=False )
|
---|
[2387] | 627 | if self.ifno < 0:
|
---|
| 628 | ifno = self.tablein.getif(0)
|
---|
[2669] | 629 | #print 'ifno=',ifno
|
---|
[2387] | 630 | else:
|
---|
| 631 | ifno = self.ifno
|
---|
| 632 | sel = selector()
|
---|
| 633 | sel.set_ifs( ifno )
|
---|
[2390] | 634 | self.tablein.set_selection( sel )
|
---|
[2387] | 635 | self.nchan = len(self.tablein._getspectrum(0))
|
---|
[2390] | 636 | self.nrow = self.tablein.nrow()
|
---|
[2387] | 637 | del sel
|
---|
| 638 |
|
---|
| 639 |
|
---|
[2372] | 640 | def getPointingChunk( self, irow ):
|
---|
| 641 | numchunk = 1000
|
---|
| 642 | nrow = min( self.nrow-irow, numchunk )
|
---|
| 643 | #print 'nrow=',nrow
|
---|
| 644 | v = numpy.zeros( (2,nrow), dtype=float )
|
---|
| 645 | idx = 0
|
---|
| 646 | for i in xrange(irow,irow+nrow):
|
---|
| 647 | d = self.tablein.get_directionval( i )
|
---|
| 648 | v[0,idx] = d[0]
|
---|
| 649 | v[1,idx] = d[1]
|
---|
| 650 | idx += 1
|
---|
| 651 | return v
|
---|
| 652 |
|
---|
[2367] | 653 | def getData( self, chan=-1, pol=-1 ):
|
---|
[2419] | 654 | if type(chan) == list:
|
---|
| 655 | spectra = self.__chanAverage(start=chan[0],end=chan[1])
|
---|
| 656 | elif chan == -1:
|
---|
[2367] | 657 | spectra = self.__chanAverage()
|
---|
| 658 | else:
|
---|
| 659 | spectra = self.__chanIndex( chan )
|
---|
[2372] | 660 | data = spectra.reshape( (self.npol,self.ny,self.nx) )
|
---|
[2367] | 661 | if pol == -1:
|
---|
| 662 | retval = data.mean(axis=0)
|
---|
| 663 | else:
|
---|
| 664 | retval = data[pol]
|
---|
| 665 | return retval
|
---|
| 666 |
|
---|
[2419] | 667 | def __chanAverage( self, start=-1, end=-1 ):
|
---|
[2367] | 668 | s = scantable( self.outfile, average=False )
|
---|
[2372] | 669 | nrow = s.nrow()
|
---|
[2367] | 670 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
|
---|
| 671 | irow = 0
|
---|
| 672 | sp = [0 for i in xrange(self.nchan)]
|
---|
[2419] | 673 | if start < 0:
|
---|
| 674 | start = 0
|
---|
| 675 | if end < 0:
|
---|
| 676 | end = self.nchan
|
---|
[2367] | 677 | for i in xrange(nrow/self.npol):
|
---|
| 678 | for ip in xrange(self.npol):
|
---|
[2419] | 679 | sp = s._getspectrum( irow )[start:end]
|
---|
[2367] | 680 | spectra[ip,i] = numpy.mean( sp )
|
---|
| 681 | irow += 1
|
---|
[2419] | 682 |
|
---|
[2367] | 683 | return spectra
|
---|
| 684 |
|
---|
| 685 | def __chanIndex( self, idx ):
|
---|
| 686 | s = scantable( self.outfile, average=False )
|
---|
[2372] | 687 | nrow = s.nrow()
|
---|
[2367] | 688 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float )
|
---|
| 689 | irow = 0
|
---|
| 690 | sp = [0 for i in xrange(self.nchan)]
|
---|
| 691 | for i in xrange(nrow/self.npol):
|
---|
| 692 | for ip in xrange(self.npol):
|
---|
| 693 | sp = s._getspectrum( irow )
|
---|
| 694 | spectra[ip,i] = sp[idx]
|
---|
| 695 | irow += 1
|
---|
| 696 | return spectra
|
---|
| 697 |
|
---|
| 698 |
|
---|