def mapallvis(uvo, uvc, so, mapdir, lines=[]):
"""
Similar to mapvis but doesn't do multiple frequency synthesis.
The frequency axis is preserved so you can get spectra from the image.
"""
calibrator = 'cnt.usb'
tall = 0.50
# remove continuum, its already been mapped
lines.remove(calibrator)
lines.remove('usb')
for i, lin in enumerate(lines):
vis = '{}/{}.{}.corrected.slfc'.format(uvc, so, lin)
for src in [
'{}/{}.{}'.format(mapdir, so, lin),
'{}/{}.{}.uncorrected'.format(mapdir, so, lin)
]:
line = miriad.averageVelocityLine(vis, 2)
for path in glob.glob('{}.full.*'.format(src)):
if os.path.exists(path): shutil.rmtree(path)
invertOptions = {
'vis': vis,
'stokes': 'i,v',
'beam': '{}.full.bm'.format(src),
'map': '{0}.i.full.mp,{0}.v.full.mp'.format(src),
'imsize': 128,
'cell': 0.3,
'options': 'systemp,double',
'sup': 0,
}
miriad.invert(invertOptions)
for stk in ['i', 'v']:
miriad.clean({
'map': '{}.{}.full.mp'.format(src, stk),
'beam': '{}.full.bm'.format(src),
'out': '{}.{}.full.cc'.format(src, stk),
'niters': 3000,
'cutoff': tall
})
miriad.restor({
'map': '{}.{}.full.mp'.format(src, stk),
'beam': '{}.full.bm'.format(src),
'model': '{}.{}.full.cc'.format(src, stk),
'out': '{}.{}.full.cm'.format(src, stk),
})
vis = '{}/{}.{}'.format(uvo, so, lin)
'vis': vis,
'line': line,
'beam': '{}.bm'.format(src),
'map': '{0}.i.mp,{0}.q.mp,{0}.u.mp,{0}.v.mp'.format(src),
'imsize': 128,
'cell': 0.3,
'options': 'systemp,double',
'stokes': 'i,q,u,v',
'sup': 0
})
for stk in ['i', 'q', 'u', 'v']:
miriad.clean({
'map': '{}.{}.mp'.format(src, stk),
'beam': '{}.bm'.format(src),
'out': '{}.{}.cc'.format(src, stk),
'niters': 1000,
'cutoff': tall
})
miriad.restor({
'map': '{}.{}.mp'.format(src, stk),
'beam': '{}.bm'.format(src),
'model': '{}.{}.cc'.format(src, stk),
'out': '{}.{}.cm'.format(src, stk),
})
miriad.imstat({'in': '{}.i.cm'.format(src), 'region': 'box(6,6,50,122)'})
input('Press return to continue')
for stk in ['q', 'u', 'v']:
def mapvis(uvo, uvc, so, mapdir, lines=[], lineSelection=[]):
"""
Make a map from visibilities
1. Continuum Stokes I,V Uncorrected & Corrected data
2. Map All lines. Corrected
3. Map All lines. Uncorrected
4. Continuum LL and RR independently, for non-selfcal and selfcal cases
"""
calibrator = 'cnt.usb'
if len(lines) != len(lineSelection):
lineSelection = [None for l in lines]
# 1.
src = '{}/{}.cnt'.format(mapdir, so)
tall = 0.03
for path in glob.glob('{}.*'.format(src)):
if os.path.exists(path): shutil.rmtree(path)
vis = '{}/{}.cnt.usb.corrected.slfc'.format(uvc, so)
for src in [
'{}/{}.cnt'.format(mapdir, so),
'{}/{}.cnt.uncorrected'.format(mapdir, so)
]:
miriad.invert({
'vis': vis,
'stokes': 'i,v',
'beam': '{}.bm'.format(src),
'map': '{0}.i.mp,{0}.v.mp'.format(src),
'imsize': 128,
'cell': 0.3,
'options': 'systemp,double,mfs',
'sup': 0
})
for stk in ['i', 'v']:
miriad.clean({
'map': '{}.{}.mp'.format(src, stk),
'beam': '{}.bm'.format(src),
'out': '{}.{}.cc'.format(src, stk),
'niters': 3000,
'cutoff': tall
})
miriad.restor({
'map': '{}.{}.mp'.format(src, stk),
'beam': '{}.bm'.format(src),
'model': '{}.{}.cc'.format(src, stk),
'out': '{}.{}.cm'.format(src, stk),
})
vis = '{}/{}.cnt.usb'.format(uvo, so)
# 2. Map corrected line data
# 3. Map uncorrected line data with same paramenters as in 2
tall = 0.50
# remove continuum, its already been mapped
lines.remove(calibrator)
lines.remove('usb')
for i, lin in enumerate(lines):
vis = '{}/{}.{}.corrected.slfc'.format(uvc, so, lin)
for src in [
'{}/{}.{}'.format(mapdir, so, lin),
'{}/{}.{}.uncorrected'.format(mapdir, so, lin)
]:
line = miriad.averageVelocityLine(vis, 2)
for path in glob.glob('{}.*'.format(src)):
if os.path.exists(path): shutil.rmtree(path)
invertOptions = {
'vis': vis,
'stokes': 'i,v',
'beam': '{}.bm'.format(src),
'map': '{0}.i.mp,{0}.v.mp'.format(src),
'imsize': 128,
'cell': 0.3,
'options': 'systemp,double,mfs',
'sup': 0,
}
if lineSelection[i] is not None:
invertOptions['line'] = lineSelection[i]
miriad.invert(invertOptions)
for stk in ['i', 'v']:
miriad.clean({
'map': '{}.{}.mp'.format(src, stk),
'beam': '{}.bm'.format(src),
'out': '{}.{}.cc'.format(src, stk),
'niters': 3000,
'cutoff': tall
})
miriad.restor({
'map': '{}.{}.mp'.format(src, stk),
'beam': '{}.bm'.format(src),
'model': '{}.{}.cc'.format(src, stk),
'out': '{}.{}.cm'.format(src, stk),
})
vis = '{}/{}.{}'.format(uvo, so, lin)
# 4. nopol is for selfcal case (this option is not used!)
tall = 0.03
for stk in ['ll', 'rr']:
src = '{}/{}.cnt.{}'.format(mapdir, so, stk)
for path in glob.glob('{}.*'.format(src)):
if os.path.exists(path): shutil.rmtree(path)
for pol in ['nopol', 'nocal']:
path = '{}.bm'.format(src)
if os.path.exists(path): shutil.rmtree(path)
miriad.invert({
'vis': '{}/{}.cnt.usb.{}'.format(uvc, so, stk),
'beam': '{}.bm'.format(src),
'map': '{}.{}.mp'.format(src, pol),
'imsize': 128,
'cell': 0.3,
'options': 'systemp,double,mfs,{}'.format(pol),
'sup': 0
})
miriad.clean({
'map': '{}.{}.mp'.format(src, pol),
'beam': '{}.bm'.format(src),
'out': '{}.{}.cc'.format(src, pol),
'niters': 3000,
'cutoff': tall
})
miriad.restor({
'map': '{}.{}.mp'.format(src, pol),
'beam': '{}.bm'.format(src),
'model': '{}.{}.cc'.format(src, pol),
'out': '{}.{}.cm'.format(src, pol),
})
def mapallvis(uvo, uvc, so, mapdir, lines=[], lineSelection=[], selects=[]):
"""
Similar to mapvis but doesn't do multiple frequency synthesis.
The frequency axis is preserved so you can get spectra from the image.
"""
from subprocess import CalledProcessError
if len(lines) != len(lineSelection):
lineSelection = [None for l in lines]
if len(lines) != len(selects):
selects = [None for l in lines]
calibrator = 'cnt.usb'
tall = 0.50
# remove continuum, its already been mapped
lineSelection.pop(lines.index(calibrator))
lines.remove(calibrator)
for i, lin in enumerate(lines):
vis = '{}/{}.{}.corrected.slfc'.format(uvc, so, lin)
for src in [
'{}/{}.{}'.format(mapdir, so, lin),
'{}/{}.{}.uncorrected'.format(mapdir, so, lin)
]:
for path in glob.glob('{}*.full.*'.format(src)):
if os.path.exists(path): shutil.rmtree(path)
invertOptions = {
'vis': vis,
'stokes': 'i,v',
'beam': '{}.full.bm'.format(src),
'map': '{0}.i.full.mp,{0}.v.full.mp'.format(src),
'imsize': 128,
'cell': 0.3,
'options': 'systemp,double',
'sup': 0,
}
if selects[i]:
invertOptions['select'] = selects[i]
try:
miriad.invert(invertOptions)
except CalledProcessError:
print("### Retrying invert with line selection")
line = miriad.averageVelocityLine(vis, 2)
sel = lineSelection[i] if lineSelection[i] is not None else line
invertOptions['line'] = sel
miriad.invert(invertOptions)
for stk in ['i', 'v']:
miriad.clean({
'map': '{}.{}.full.mp'.format(src, stk),
'beam': '{}.full.bm'.format(src),
'out': '{}.{}.full.cc'.format(src, stk),
'niters': 3000,
'cutoff': tall
})
miriad.restor({
'map': '{}.{}.full.mp'.format(src, stk),
'beam': '{}.full.bm'.format(src),
'model': '{}.{}.full.cc'.format(src, stk),
'out': '{}.{}.full.cm'.format(src, stk),
})
vis = '{}/{}.{}'.format(uvo, so, lin)