from __future__ import absolute_import import os import numpy as np from casatasks.private.casa_transition import is_CASA6 if is_CASA6: from .callibrary import * from casatools import calibrater from casatasks import casalog else: from callibrary import * from taskinit import * calibrater = cbtool def fringefit(vis=None,caltable=None, field=None,spw=None,intent=None, selectdata=None,timerange=None,antenna=None,scan=None, observation=None, msselect=None, solint=None,combine=None,refant=None, minsnr=None,zerorates=None,globalsolve=None,niter=None, delaywindow=None,ratewindow=None,append=None, corrdepflags=None, corrcomb=None, docallib=None,callib=None,gaintable=None,gainfield=None,interp=None,spwmap=None, paramactive=None, parang=None): #Python script casalog.origin('fringefit') # print("task_fringfit.py: corrcomb={}".format(corrcomb)) try: mycb = calibrater() if ((type(vis)==str) & (os.path.exists(vis))): mycb.open(filename=vis,compress=False,addcorr=False,addmodel=False) else: raise ValueError('Visibility data set not found - please verify the name') # Do data selection according to selectdata if (selectdata): casalog.post("Selecting data") # pass all data selection parameters in as specified mycb.selectvis(time=timerange,spw=spw, scan=scan, field=field, intent=intent, observation=str(observation), baseline=antenna,chanmode='none', msselect=msselect) else: # selectdata=F, so time,scan,baseline,msselect='' # using spw and field specifications only mycb.selectvis(time='',spw=spw,scan='',field=field,intent=intent, observation='', baseline='', chanmode='none', msselect='') # signal use of correlation-dependent flags, if requested if corrdepflags: mycb.setcorrdepflags(True) # Arrange applies.... if docallib: # by cal library from file mycallib=callibrary() mycallib.read(callib) mycb.setcallib(mycallib.cld) else: if paramactive is None or paramactive==[]: paramactive=[True, True, False] else: if len(paramactive)!=3: casalog.post("paramactive: " + paramactive) raise ValueError( 'Error: paramactive vector must have exactly three entries' ) # Have to solve for peculiar phase! paramactive.insert(0, True) # by traditional parameters ngaintab = 0; if (gaintable!=['']): ngaintab=len(gaintable) ngainfld = len(gainfield) nspwmap = len(spwmap) ninterp = len(interp) # handle list of list issues with spwmap if (nspwmap>0): if (type(spwmap[0])!=list): # first element not a list, only one spwmap specified # make it a list of list spwmap=[spwmap]; nspwmap=1; for igt in range(ngaintab): if (gaintable[igt]!=''): # field selection is null unless specified thisgainfield='' if (igt<ngainfld): thisgainfield=gainfield[igt] # spwmap is null unless specifed thisspwmap=[-1] if (igt<nspwmap): thisspwmap=spwmap[igt]; # interp is 'linear' unless specified thisinterp='linear' if (igt<ninterp): if (interp[igt]==''): interp[igt]=thisinterp; thisinterp=interp[igt]; mycb.setapply(t=0.0,table=gaintable[igt],field=thisgainfield, calwt=True,spwmap=thisspwmap,interp=thisinterp) if len(delaywindow) != 2: delaywindow = [-1e6, 1e6] if len(ratewindow) != 2: ratewindow = [-1e6, 1e6] # ...and now the specialized terms # (BTW, interp irrelevant for these, since they are evaluated) # Apply parallactic angle, if requested if parang: mycb.setapply(type='P') # Set up for solving; only support one gaintype mycb.setsolve(type="FRINGE",t=solint,refant=refant, minsnr=minsnr,combine=combine, zerorates=zerorates, globalsolve=globalsolve, niter=niter, corrcomb=corrcomb, delaywindow=delaywindow, ratewindow=ratewindow, paramactive=paramactive, table=caltable,append=append) mycb.solve() reportsolvestats(mycb.activityrec()); finally: mycb.close() def reportsolvestats(rec): if (list(rec.keys()).count('origin')==1 and rec['origin']=='Calibrater::genericGatherAndSolve'): casalog.post("Calibration solve statistics per spw: (expected/attempted/succeeded):") nexp=rec['nExpected'] natt=rec['nAttempt'] nsuc=rec['nSucceed'] for ispw in range(len(nexp)): solstatstr=" Spw "+str(ispw)+": " solstatstr+=str(nexp[ispw])+"/" solstatstr+=str(natt[ispw])+"/" solstatstr+=str(nsuc[ispw]) casalog.post(solstatstr)