def save_gains(s,f,pol,filename=None,ubls=None,ex_ants=None):
"""
s: solutions
f: frequencies
pol: polarization
filename: if a specific file was used (instead of many), change output name
ubls: unique baselines used to solve for s'
ex_ants: antennae excluded to solve for s'
"""
s2 = {}
delays = []
for k,i in s.iteritems():
s2[str(k)] = omni.get_phase(f,i)
try:
delays.append([k,i[0],i[1]])
except(TypeError,IndexError):
delays.append([k,i])
s2['delays'] = np.array(delays)
if not ubls is None: s2['ubls']=ubls
if not ex_ants is None: s2['ex_ants']=ex_ants
if not filename is None:
outname='%s.fc.npz'%filename
else:
outname='fcgains.%s.npz'%pol
print 'Saving fcgains to %s'%outname
n.savez(outname,**s2)
def save_gains(s, f, pol):
s2 = {}
for k, i in s.iteritems():
s2[str(k)] = omni.get_phase(f, i)
#s2['pol'] = pol #XXX not saving pol in npz file
print 'Saving fcgains.%s.npz' % pol
n.savez('fcgains.%s.npz' % pol, **s2)
def save_gains(s,f,pol):
s2 = {}
for k,i in s.iteritems():
s2[str(k)] = omni.get_phase(f,i)
#s2['pol'] = pol #XXX not saving pol in npz file
print 'Saving fcgains.%s.npz'%pol
n.savez('fcgains.%s.npz'%pol,**s2)
def save_gains(s,f,name='fcgains',verbose=False):
s2 = {}
for k,i in s.iteritems():
try:
len(i)
s2[str(k)] = omni.get_phase(f,i,offset=True)
s2['d'+str(k)] = i[0]
if verbose:
print 'ant=%d dly=%f , off=%f '%(k,i[0],i[1])
except(TypeError):
s2[str(k)] = omni.get_phase(f,i)
s2['d'+str(k)] = i
if verbose:
print 'ant=%d dly=%f '%(k,i)
cmd = sys.argv
s2['cmd'] = ' '.join(cmd)
np.savez('%s.npz'%name,**s2)
def save_gains(s,f,name='fcgains',verbose=False):
s2 = {}
for k,i in s.iteritems():
if len(i)>1:
s2[str(k)] = omni.get_phase(f,i,offset=True)
s2['d'+str(k)] = i[0]
if verbose:
print 'ant=%d dly=%f , off=%f '%(k,i[0],i[1])
else:
s2[str(k)] = omni.get_phase(f,i)
s2['d'+str(k)] = i
if verbose:
print 'ant=%d dly=%f '%(k,i)
import sys
cmd = sys.argv
s2['cmd'] = ' '.join(cmd)
n.savez('%s.npz'%name,**s2)
def save_gains(s,f,name='fcgains'):
s2 = {}
for k,i in s.iteritems():
s2[str(k)] = omni.get_phase(f,i)
for k,i in s.iteritems():
s2['d'+str(k)] = i
import sys
cmd = sys.argv
s2['cmd'] = ' '.join(cmd)
n.savez('%s.npz'%name,**s2)
def save_gains(s,f,pol,filename=None,ubls=None,ex_ants=None):
"""
s: solutions
f: frequencies
pol: polarization
filename: if a specific file was used (instead of many), change output name
ubls: unique baselines used to solve for s'
ex_ants: antennae excluded to solve for s'
"""
s2 = {}
for k,i in s.iteritems():
s2[str(k)] = omni.get_phase(f,i)
s2[str(k)+'d'] = i
if not ubls is None: s2['ubls']=ubls
if not ex_ants is None: s2['ex_ants']=ex_ants
if not filename is None:
if not opts.outpath is None:
outname='%s/%s.fc.npz'%(opts.outpath,filename.split('/')[-1])
else:
outname='%s.fc.npz'%filename
else:
outname='fcgains.%s.npz'%pol
print 'Saving fcgains to %s'%outname
n.savez(outname,**s2)
def save_gains(s,f,pol):
s2 = {}
for k,i in s.iteritems():
s2[str(k)] = omni.get_phase(f,i)
s2['pol'] = pol
n.savez('fcgains.%s.npz'%pol,**s2)
dataxx = {}
for (i,j) in data.keys():
dataxx[(i,j)] = data[(i,j)]['xx']
fqs = n.linspace(.1,.2,1024)
dlys = n.fft.fftshift(n.fft.fftfreq(fqs.size, fqs[1]-fqs[0]))
#gets phase solutions per frequency.
fc = omni.FirstCal(dataxx,fqs,info)
sols = fc.run()
#import IPython; IPython.embed()
#save_gains(sols,fqs, opts.pol)
#save solutions
dataxx_c = {}
for (a1,a2) in info.bl_order():
if (a1,a2) in dataxx.keys():
dataxx_c[(a1,a2)] = dataxx[(a1,a2)]*omni.get_phase(fqs,sols[a1])*n.conj(omni.get_phase(fqs,sols[a2]))
else:
dataxx_c[(a1,a2)] = n.conj(dataxx[(a2,a1)]*omni.get_phase(fqs,sols[a2])*n.conj(omni.get_phase(fqs,sols[a1])))
#def waterfall(d, ax, mode='log', mx=None, drng=None, recenter=False, **kwargs):
# if n.ma.isMaskedArray(d): d = d.filled(0)
# if recenter: d = a.img.recenter(d, n.array(d.shape)/2)
# d = arp.data_mode(d, mode=mode)
# if mx is None: mx = d.max()
# if drng is None: drng = mx - d.min()
# mn = mx - drng
# return ax.imshow(d, vmax=mx, vmin=mn, aspect='auto', interpolation='nearest', **kwargs)
#
#plotting data
redbls = []
for r in redstest: redbls += r
#import IPython; IPython.embed()
#save solutions
fname = args[0]
save_gains(sols,fqs,name=fname)
if PLOT:
#For plotting a subset of baselines
infotest = omni.aa_to_info(aa, fcal=True, ubls=[(80,96)],ex_ants=[81])
redstest = infotest.get_reds()
######### To look at solutions and it's application to data. If only lookgin for solutions stop here ##############
dataxx_c = {}
print dataxx.keys()
for (a1,a2) in info.bl_order():
if (a1,a2) in dataxx.keys():
dataxx_c[(a1,a2)] = dataxx[(a1,a2)]*omni.get_phase(fqs,sols[a1])*n.conj(omni.get_phase(fqs,sols[a2]))
#if a1==43 or a2==43:
# dataxx_c[(a1,a2)]*=n.exp(-2j*n.pi*fqs*n.pi)
else:
dataxx_c[(a1,a2)] = dataxx[(a2,a1)]*omni.get_phase(fqs,sols[a2])*n.conj(omni.get_phase(fqs,sols[a1]))
#if a1==43 or a2==43:
# dataxx_c[(a1,a2)]*=n.exp(-2j*n.pi*fqs*n.pi)
#plotting data
redbls = []
for r in redstest: redbls += r
redbls = n.array(redbls)
#print redbls.shape
#dm = divmod(len(redbls), n.round(n.sqrt(len(redbls))))
#nr,nc = int(dm[0]),int(dm[0]+n.ceil(float(dm[1])/dm[0]))
#fig,ax = p.subplots(nrows=nr,ncols=nc,figsize=(14,10))
#for i,bl in enumerate(redbls):
