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Gregory Ashton
PyFstat
Commits
8b5d333d
Commit
8b5d333d
authored
Feb 16, 2017
by
Gregory Ashton
Browse files
Adds example for MCMC convergence
parent
166af1a1
Changes
1
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Paper/Examples/fully_coherent_search_using_MCMC_convergence.py
0 → 100644
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8b5d333d
import
pyfstat
import
numpy
as
np
# Properties of the GW data
sqrtSX
=
1e-23
tstart
=
1000000000
duration
=
100
*
86400
tend
=
tstart
+
duration
# Properties of the signal
F0
=
30.0
F1
=
-
1e-10
F2
=
0
Alpha
=
5e-3
Delta
=
6e-2
tref
=
.
5
*
(
tstart
+
tend
)
depth
=
10
h0
=
sqrtSX
/
depth
data_label
=
'fully_coherent_search_using_MCMC_convergence'
data
=
pyfstat
.
Writer
(
label
=
data_label
,
outdir
=
'data'
,
tref
=
tref
,
tstart
=
tstart
,
F0
=
F0
,
F1
=
F1
,
F2
=
F2
,
duration
=
duration
,
Alpha
=
Alpha
,
Delta
=
Delta
,
h0
=
h0
,
sqrtSX
=
sqrtSX
)
data
.
make_data
()
# The predicted twoF, given by lalapps_predictFstat can be accessed by
twoF
=
data
.
predict_fstat
()
print
'Predicted twoF value: {}
\n
'
.
format
(
twoF
)
DeltaF0
=
5e-7
DeltaF1
=
1e-12
VF0
=
(
np
.
pi
*
duration
*
DeltaF0
)
**
2
/
3.0
VF1
=
(
np
.
pi
*
duration
**
2
*
DeltaF1
)
**
2
*
4
/
45.
print
'
\n
V={:1.2e}, VF0={:1.2e}, VF1={:1.2e}
\n
'
.
format
(
VF0
*
VF1
,
VF0
,
VF1
)
theta_prior
=
{
'F0'
:
{
'type'
:
'unif'
,
'lower'
:
F0
-
DeltaF0
/
2.
,
'upper'
:
F0
+
DeltaF0
/
2.
},
'F1'
:
{
'type'
:
'unif'
,
'lower'
:
F1
-
DeltaF1
/
2.
,
'upper'
:
F1
+
DeltaF1
/
2.
},
'F2'
:
F2
,
'Alpha'
:
Alpha
,
'Delta'
:
Delta
}
ntemps
=
1
log10temperature_min
=
-
1
nwalkers
=
100
nsteps
=
[
900
,
100
]
mcmc
=
pyfstat
.
MCMCSearch
(
label
=
'fully_coherent_search_using_MCMC_convergence'
,
outdir
=
'data'
,
sftfilepath
=
'data/*'
+
data_label
+
'*sft'
,
theta_prior
=
theta_prior
,
tref
=
tref
,
minStartTime
=
tstart
,
maxStartTime
=
tend
,
nsteps
=
nsteps
,
nwalkers
=
nwalkers
,
ntemps
=
ntemps
,
log10temperature_min
=
log10temperature_min
)
mcmc
.
setup_convergence_testing
(
convergence_threshold_number
=
5
,
convergence_plot_upper_lim
=
10
,
convergence_burnin_fraction
=
0.1
)
mcmc
.
run
(
context
=
'paper'
,
subtractions
=
[
30
,
-
1e-10
])
mcmc
.
plot_corner
(
add_prior
=
True
)
mcmc
.
print_summary
()
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