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LALPulsar
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test_flat_prior.py File Reference
Go to the source code of this file.
Namespaces
namespace
test_flat_prior
Variables
int
test_flat_prior.exit_code
= 0
string
test_flat_prior.execu
= "./lalpulsar_parameter_estimation_nested"
string
test_flat_prior.parfile
string
test_flat_prior.parf
= "test.par"
test_flat_prior.f
= open(parf, "w")
string
test_flat_prior.datafile
= "data.txt.gz"
test_flat_prior.ds
= np.zeros((1440, 3))
test_flat_prior.fmt
list
test_flat_prior.h0uls
= [1
e
-22, 1
e
-21, 1
e
-20, 1
e
-19, 1
e
-18, 1
e
-17]
string
test_flat_prior.dets
= "H1"
string
test_flat_prior.Nlive
= "5000"
string
test_flat_prior.Nmcmcinitial
= "0"
string
test_flat_prior.outfile
= "test.hdf"
string
test_flat_prior.outfile_SNR
= "test_SNR"
string
test_flat_prior.outfile_Znoise
= "test_Znoise"
string
test_flat_prior.priorsamples
= Nlive
test_flat_prior.flush
string
test_flat_prior.priorfile
string
test_flat_prior.priorf
= "test.prior"
tuple
test_flat_prior.commandline
test_flat_prior.shell
test_flat_prior.a
=
f
["lalinference"]
test_flat_prior.h0samps
=
a
["lalinference_nest"]["nested_samples"]["
H0
"][:]
test_flat_prior.bins
test_flat_prior.range
test_flat_prior.density
test_flat_prior.nc
= np.cumsum(
n
) * (nedges[1] - nedges[0])
test_flat_prior.stat
test_flat_prior.p
test_flat_prior.fig
test_flat_prior.ax
test_flat_prior.cumulative
test_flat_prior.histtype
test_flat_prior.alpha
bin
HeterodyneSearch
test_flat_prior.py
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