[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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| 27 | g.setFunc( func='sf', width=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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[2671] | 137 | def setFunc( self, func='box', width=-1, gwidth="", jwidth="" ): |
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[2391] | 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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[2450] | 147 | 'gauss': 1 pixel (width is used as HWHM) |
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[2391] | 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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[2671] | 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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[2356] | 163 | |
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[2361] | 164 | def setWeight( self, weightType='uniform' ): |
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[2391] | 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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[2396] | 173 | self.gridder._setweight( weightType ) |
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[2361] | 174 | |
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[2396] | 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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[2356] | 191 | def grid( self ): |
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[2391] | 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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[2356] | 195 | self.gridder._grid() |
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| 196 | |
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| 197 | def save( self, outfile='' ): |
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[2391] | 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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[2356] | 204 | self.outfile = self.gridder._save( outfile ) |
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| 205 | |
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[2375] | 206 | def plot( self, plotchan=-1, plotpol=-1, plotobs=False, plotgrid=False ): |
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[2391] | 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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[2367] | 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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[2375] | 228 | plotter.plot( chan=plotchan, pol=plotpol, plotobs=plotobs, plotgrid=plotgrid ) |
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[2367] | 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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[2671] | 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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[2356] | 250 | |
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[2593] | 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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[2671] | 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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[2593] | 404 | |
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| 405 | def setWeight( self, weightType='uniform' ): |
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| 406 | """ |
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| 407 | Set weight type. Possible options are 'uniform' (default), |
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| 408 | 'tint' (weight by integration time), 'tsys' (weight by |
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| 409 | Tsys: 1/Tsys**2), and 'tintsys' (weight by integration time |
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| 410 | as well as Tsys: tint/Tsys**2). |
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| 411 | |
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| 412 | weightType -- weight type ('uniform', 'tint', 'tsys', 'tintsys') |
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| 413 | """ |
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| 414 | self.gridder._setweight( weightType ) |
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| 415 | |
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| 416 | def enableClip( self ): |
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| 417 | """ |
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| 418 | Enable min/max clipping. |
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| 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 | """ |
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| 424 | self.gridder._enableclip() |
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| 425 | |
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| 426 | def disableClip( self ): |
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| 427 | """ |
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| 428 | Disable min/max clipping. |
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| 429 | """ |
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| 430 | self.gridder._disableclip() |
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| 431 | |
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| 432 | def grid( self ): |
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| 433 | """ |
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| 434 | Actual gridding which will be done based on several user inputs. |
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| 435 | """ |
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| 436 | self.gridder._grid() |
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| 437 | |
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| 438 | def getResult( self ): |
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| 439 | """ |
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| 440 | Return gridded data as a scantable. |
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| 441 | """ |
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[2594] | 442 | tp = 0 if rcParams['scantable.storage']=='memory' else 1 |
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| 443 | return scantable( self.gridder._get( tp ), average=False ) |
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[2671] | 444 | |
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| 445 | def plotFunc(self, clear=True): |
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| 446 | """ |
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| 447 | Support function to see the shape of current grid function. |
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[2593] | 448 | |
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[2671] | 449 | clear -- clear panel if True. Default is True. |
---|
| 450 | """ |
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| 451 | pl.figure(11) |
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| 452 | if clear: |
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| 453 | pl.clf() |
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| 454 | f = self.gridder._getfunc() |
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| 455 | convsampling = 100 |
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| 456 | a = numpy.arange(0,len(f)/convsampling,1./convsampling,dtype=float) |
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| 457 | pl.plot(a,f,'.-') |
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| 458 | pl.xlabel('pixel') |
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| 459 | pl.ylabel('convFunc') |
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| 460 | |
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[2356] | 461 | class _SDGridPlotter: |
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[2373] | 462 | def __init__( self, infile, outfile=None, ifno=-1 ): |
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[2390] | 463 | if isinstance( infile, str ): |
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| 464 | self.infile = [infile] |
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| 465 | else: |
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| 466 | self.infile = infile |
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[2356] | 467 | self.outfile = outfile |
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| 468 | if self.outfile is None: |
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[2390] | 469 | self.outfile = self.infile[0].rstrip('/')+'.grid' |
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[2356] | 470 | self.nx = -1 |
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| 471 | self.ny = -1 |
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| 472 | self.nchan = 0 |
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[2360] | 473 | self.npol = 0 |
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| 474 | self.pollist = [] |
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[2356] | 475 | self.cellx = 0.0 |
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| 476 | self.celly = 0.0 |
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| 477 | self.center = [0.0,0.0] |
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| 478 | self.nonzero = [[0.0],[0.0]] |
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[2367] | 479 | self.ifno = ifno |
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[2372] | 480 | self.tablein = None |
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| 481 | self.nrow = 0 |
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| 482 | self.blc = None |
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| 483 | self.trc = None |
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[2356] | 484 | self.get() |
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| 485 | |
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| 486 | def get( self ): |
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| 487 | s = scantable( self.outfile, average=False ) |
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[2387] | 488 | self.nchan = len(s._getspectrum(0)) |
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[2356] | 489 | nrow = s.nrow() |
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[2360] | 490 | pols = numpy.ones( nrow, dtype=int ) |
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[2356] | 491 | for i in xrange(nrow): |
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[2360] | 492 | pols[i] = s.getpol(i) |
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| 493 | self.pollist, indices = numpy.unique( pols, return_inverse=True ) |
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| 494 | self.npol = len(self.pollist) |
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| 495 | self.pollist = self.pollist[indices[:self.npol]] |
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| 496 | #print 'pollist=',self.pollist |
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| 497 | #print 'npol=',self.npol |
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| 498 | #print 'nrow=',nrow |
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[2356] | 499 | |
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[2669] | 500 | idx = 1 |
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| 501 | d0 = s.get_direction( 0 ).split()[-2] |
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| 502 | d = s.get_direction(self.npol*idx) |
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| 503 | while( d is not None \ |
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| 504 | and d.split()[-2] != d0): |
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[2356] | 505 | idx += 1 |
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[2669] | 506 | d = s.get_direction(self.npol*idx) |
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[2367] | 507 | |
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[2372] | 508 | self.nx = idx |
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| 509 | self.ny = nrow / (self.npol * idx ) |
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[2360] | 510 | #print 'nx,ny=',self.nx,self.ny |
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[2372] | 511 | |
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| 512 | self.blc = s.get_directionval( 0 ) |
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| 513 | self.trc = s.get_directionval( nrow-self.npol ) |
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| 514 | #print self.blc |
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| 515 | #print self.trc |
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[2421] | 516 | if nrow > 1: |
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| 517 | incrx = s.get_directionval( self.npol ) |
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| 518 | incry = s.get_directionval( self.nx*self.npol ) |
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| 519 | else: |
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| 520 | incrx = [0.0,0.0] |
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| 521 | incry = [0.0,0.0] |
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[2372] | 522 | self.cellx = abs( self.blc[0] - incrx[0] ) |
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| 523 | self.celly = abs( self.blc[1] - incry[1] ) |
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[2360] | 524 | #print 'cellx,celly=',self.cellx,self.celly |
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[2356] | 525 | |
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[2375] | 526 | def plot( self, chan=-1, pol=-1, plotobs=False, plotgrid=False ): |
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[2360] | 527 | if pol < 0: |
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| 528 | opt = 'averaged over pol' |
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[2356] | 529 | else: |
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[2360] | 530 | opt = 'pol %s'%(pol) |
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[2419] | 531 | if type(chan) is list: |
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| 532 | opt += ', averaged over channel %s-%s'%(chan[0],chan[1]) |
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| 533 | elif chan < 0: |
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[2360] | 534 | opt += ', averaged over channel' |
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| 535 | else: |
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| 536 | opt += ', channel %s'%(chan) |
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[2423] | 537 | data = self.getData( chan, pol ) |
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[2669] | 538 | #data = numpy.fliplr( data ) |
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[2360] | 539 | title = 'Gridded Image (%s)'%(opt) |
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[2356] | 540 | pl.figure(10) |
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| 541 | pl.clf() |
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[2372] | 542 | # plot grid position |
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[2375] | 543 | if plotgrid: |
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| 544 | x = numpy.arange(self.blc[0],self.trc[0]+0.5*self.cellx,self.cellx,dtype=float) |
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| 545 | #print 'len(x)=',len(x) |
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| 546 | #print 'x=',x |
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| 547 | ybase = numpy.ones(self.nx,dtype=float)*self.blc[1] |
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| 548 | #print 'len(ybase)=',len(ybase) |
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| 549 | incr = self.celly |
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| 550 | for iy in xrange(self.ny): |
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| 551 | y = ybase + iy * incr |
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| 552 | #print y |
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| 553 | pl.plot(x,y,',',color='blue') |
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[2372] | 554 | # plot observed position |
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[2375] | 555 | if plotobs: |
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[2390] | 556 | for i in xrange(len(self.infile)): |
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| 557 | self.createTableIn( self.infile[i] ) |
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| 558 | irow = 0 |
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| 559 | while ( irow < self.nrow ): |
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| 560 | chunk = self.getPointingChunk( irow ) |
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| 561 | #print chunk |
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| 562 | pl.plot(chunk[0],chunk[1],',',color='green') |
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| 563 | irow += chunk.shape[1] |
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| 564 | #print irow |
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[2372] | 565 | # show image |
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[2423] | 566 | extent=[self.trc[0]+0.5*self.cellx, |
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| 567 | self.blc[0]-0.5*self.cellx, |
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[2372] | 568 | self.blc[1]-0.5*self.celly, |
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| 569 | self.trc[1]+0.5*self.celly] |
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[2420] | 570 | deccorr = 1.0/numpy.cos(0.5*(self.blc[1]+self.trc[1])) |
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[2356] | 571 | pl.imshow(data,extent=extent,origin='lower',interpolation='nearest') |
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| 572 | pl.colorbar() |
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| 573 | pl.xlabel('R.A. [rad]') |
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| 574 | pl.ylabel('Dec. [rad]') |
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[2420] | 575 | ax = pl.axes() |
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| 576 | ax.set_aspect(deccorr) |
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[2358] | 577 | pl.title( title ) |
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[2367] | 578 | |
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[2390] | 579 | def createTableIn( self, tab ): |
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| 580 | del self.tablein |
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| 581 | self.tablein = scantable( tab, average=False ) |
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[2387] | 582 | if self.ifno < 0: |
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| 583 | ifno = self.tablein.getif(0) |
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[2669] | 584 | #print 'ifno=',ifno |
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[2387] | 585 | else: |
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| 586 | ifno = self.ifno |
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| 587 | sel = selector() |
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| 588 | sel.set_ifs( ifno ) |
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[2390] | 589 | self.tablein.set_selection( sel ) |
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[2387] | 590 | self.nchan = len(self.tablein._getspectrum(0)) |
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[2390] | 591 | self.nrow = self.tablein.nrow() |
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[2387] | 592 | del sel |
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| 593 | |
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| 594 | |
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[2372] | 595 | def getPointingChunk( self, irow ): |
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| 596 | numchunk = 1000 |
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| 597 | nrow = min( self.nrow-irow, numchunk ) |
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| 598 | #print 'nrow=',nrow |
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| 599 | v = numpy.zeros( (2,nrow), dtype=float ) |
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| 600 | idx = 0 |
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| 601 | for i in xrange(irow,irow+nrow): |
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| 602 | d = self.tablein.get_directionval( i ) |
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| 603 | v[0,idx] = d[0] |
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| 604 | v[1,idx] = d[1] |
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| 605 | idx += 1 |
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| 606 | return v |
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| 607 | |
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[2367] | 608 | def getData( self, chan=-1, pol=-1 ): |
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[2419] | 609 | if type(chan) == list: |
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| 610 | spectra = self.__chanAverage(start=chan[0],end=chan[1]) |
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| 611 | elif chan == -1: |
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[2367] | 612 | spectra = self.__chanAverage() |
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| 613 | else: |
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| 614 | spectra = self.__chanIndex( chan ) |
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[2372] | 615 | data = spectra.reshape( (self.npol,self.ny,self.nx) ) |
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[2367] | 616 | if pol == -1: |
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| 617 | retval = data.mean(axis=0) |
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| 618 | else: |
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| 619 | retval = data[pol] |
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| 620 | return retval |
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| 621 | |
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[2419] | 622 | def __chanAverage( self, start=-1, end=-1 ): |
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[2367] | 623 | s = scantable( self.outfile, average=False ) |
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[2372] | 624 | nrow = s.nrow() |
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[2367] | 625 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
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| 626 | irow = 0 |
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| 627 | sp = [0 for i in xrange(self.nchan)] |
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[2419] | 628 | if start < 0: |
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| 629 | start = 0 |
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| 630 | if end < 0: |
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| 631 | end = self.nchan |
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[2367] | 632 | for i in xrange(nrow/self.npol): |
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| 633 | for ip in xrange(self.npol): |
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[2419] | 634 | sp = s._getspectrum( irow )[start:end] |
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[2367] | 635 | spectra[ip,i] = numpy.mean( sp ) |
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| 636 | irow += 1 |
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[2419] | 637 | |
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[2367] | 638 | return spectra |
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| 639 | |
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| 640 | def __chanIndex( self, idx ): |
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| 641 | s = scantable( self.outfile, average=False ) |
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[2372] | 642 | nrow = s.nrow() |
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[2367] | 643 | spectra = numpy.zeros( (self.npol,nrow/self.npol), dtype=float ) |
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| 644 | irow = 0 |
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| 645 | sp = [0 for i in xrange(self.nchan)] |
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| 646 | for i in xrange(nrow/self.npol): |
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| 647 | for ip in xrange(self.npol): |
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| 648 | sp = s._getspectrum( irow ) |
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| 649 | spectra[ip,i] = sp[idx] |
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| 650 | irow += 1 |
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| 651 | return spectra |
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| 652 | |
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| 653 | |
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