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