def main():
pfdfn = sys.argv[1]
cand = candidate.read_pfd_file(pfdfn)
print "Loaded %s" % cand.pfdfn
print " Best topo period (s): %f" % cand.topo_period
print " Best bary period (s): %f" % cand.bary_period
print " Best DM (cm^-3/pc): %f" % cand.dm
print " RA (J2000 - deg): %f" % cand.raj_deg
print " Dec (J2000 - deg): %f" % cand.decj_deg
#print "-"*10
#pprint.pprint(cand.__dict__)
#print "-"*10
mgauss.add_data(cand)
print "Added multi-gaussian fit to cand"
#pprint.pprint(cand.__dict__)
#print "-"*10
print cand.multigaussfit
data = cand.profile.copy()
data /= np.sqrt(cand.pfd.varprof)
data -= data.mean()
cand.multigaussfit.plot_comparison(data, True)
def main():
pfdfn = sys.argv[1]
cand = candidate.read_pfd_file(pfdfn)
print "Loaded %s" % cand.pfdfn
print " Best topo period (s): %f" % cand.topo_period
print " Best bary period (s): %f" % cand.bary_period
print " Best DM (cm^-3/pc): %f" % cand.dm
print " RA (J2000 - deg): %f" % cand.raj_deg
print " Dec (J2000 - deg): %f" % cand.decj_deg
#print "-"*10
#pprint.pprint(cand.__dict__)
#print "-"*10
mgauss.add_data(cand)
print "Added multi-gaussian fit to cand"
#pprint.pprint(cand.__dict__)
#print "-"*10
print cand.multigaussfit
data = cand.profile.copy()
data /= np.sqrt(cand.pfd.varprof)
data -= data.mean()
cand.multigaussfit.plot_comparison(data, True)
def rate_pfd(pfdfn, rater_instances):
"""Given the name of a *.pfd file and a list of Rater instances
compute the ratings.
Inputs:
pfdfn: Name of the *.pfd file.
rater_instances: A list of Rater instances to compute ratings.
Outputs:
cand: The resulting (rated) Candidate object.
***NOTE: RatingValues are added directly to the Candidate object.
"""
cand = candidate.read_pfd_file(pfdfn)
for rater in rater_instances:
ratval = rater.rate(cand)
cand.add_rating(ratval)
return cand
def rate_pfd(pfdfn, rater_instances):
"""Given the name of a *.pfd file and a list of Rater instances
compute the ratings.
Inputs:
pfdfn: Name of the *.pfd file.
rater_instances: A list of Rater instances to compute ratings.
Outputs:
cand: The resulting (rated) Candidate object.
***NOTE: RatingValues are added directly to the Candidate object.
"""
cand = candidate.read_pfd_file(pfdfn)
for rater in rater_instances:
ratval = rater.rate(cand)
cand.add_rating(ratval)
return cand
