| 1 | from __future__ import absolute_import
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| 2 |
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| 3 | import collections
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| 4 | import math
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| 5 | import numpy as np
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| 6 | import pp
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| 7 |
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| 8 | import common.commonobjects as co
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| 9 | import pythonclean
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| 10 |
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| 11 |
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| 12 | class CleanImage(object):
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| 13 | """Class to compute clean image cube from uvspectra.
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| 14 | """
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| 15 |
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| 16 | def __init__(self, previous_results, job_server):
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| 17 | self.previous_results = previous_results
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| 18 | self.job_server = job_server
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| 19 |
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| 20 | self.result = collections.OrderedDict()
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| 21 |
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| 22 | def run(self):
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| 23 | print 'CleanImage.run'
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| 24 |
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| 25 | # get dirty image and beam info
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| 26 | dirty = self.previous_results['dirtyimage']
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| 27 | dirtyimage = dirty['dirtyimage']
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| 28 | dirtybeam = dirty['dirtybeam']
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| 29 | spatial_axis = dirty['spatial axis [arcsec]']
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| 30 | wavenumber = dirty['wavenumber [cm-1]']
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| 31 |
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| 32 | # clean image cube
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| 33 | cleanimage = np.zeros(np.shape(dirtyimage), np.float)
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| 34 | residualimage = np.zeros(np.shape(dirtyimage), np.float)
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| 35 |
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| 36 | # for iwn,wn in enumerate(wavenumber):
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| 37 | # print 'cleaning %s' % wn
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| 38 | # max = np.max(dirtyimage[:,:,iwn])
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| 39 | # components, residual = pclean.hogbom(dirty=dirtyimage[:,:,iwn],
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| 40 | # psf=dirtybeam[:,:,iwn],
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| 41 | # window=True, gain=0.1, thresh=max/100.0, niter=5000)
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| 42 | # cleanimage[:,:,iwn] = components
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| 43 | # residualimage[:,:,iwn] = residual
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| 44 |
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| 45 | # calculate clean image for each wn
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| 46 | jobs = {}
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| 47 | for iwn,wn in enumerate(wavenumber):
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| 48 | # submit jobs
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| 49 | print 'starting clean for', wn
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| 50 | immax = np.max(dirtyimage[:,:,iwn])
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| 51 | indata = (dirtyimage[:,:,iwn], dirtybeam[:,:,iwn], True, 0.1,
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| 52 | immax/100.0, 5000,)
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| 53 | jobs[wn] = self.job_server.submit(pythonclean.hogbom,
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| 54 | indata, (), ('numpy','pythonclean',))
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| 55 |
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| 56 | for iwn,wn in enumerate(wavenumber):
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| 57 | # collect and store results
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| 58 | cleanimage[:,:,iwn], residualimage[:,:,iwn] = jobs[wn]()
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| 59 |
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| 60 | self.result['dirtyimage'] = dirtyimage
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| 61 | self.result['cleanimage'] = cleanimage
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| 62 | self.result['residualimage'] = residualimage
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| 63 | self.result['spatial axis [arcsec]'] = spatial_axis
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| 64 | self.result['spatial axis'] = spatial_axis
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| 65 | self.result['wavenumber [cm-1]'] = wavenumber
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| 66 |
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| 67 | return self.result
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| 68 |
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| 69 | def __repr__(self):
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| 70 | return '''
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| 71 | CleanImage:
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| 72 | '''.format(
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| 73 | num_uvspectra=len(self.uvspectra))
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| 74 |
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