Commit ac24a4e3 authored by Gregory Ashton's avatar Gregory Ashton
Browse files

Adds new points to the recovery plots

parent 7c5bbee4
......@@ -4,7 +4,7 @@
export PATH="/home/gregory.ashton/anaconda2/bin:$PATH"
export MPLCONFIGDIR=/home/gregory.ashton/.config/matplotlib
for ((n=0;n<1;n++))
for ((n=0;n<10;n++))
do
/home/gregory.ashton/anaconda2/bin/python generate_data.py "$1" /local/user/gregory.ashton --no-template-counting --no-interactive
done
......
......@@ -32,6 +32,7 @@ DeltaAlpha = 0.02
DeltaDelta = 0.02
depths = np.linspace(100, 400, 9)
depths = [118.75, 156.25]
nsteps = 50
run_setup = [((nsteps, 0), 20, False),
......
......@@ -82,7 +82,7 @@ mcmc = pyfstat.MCMCFollowUpSearch(
sftfilepath='{}/*{}*sft'.format(outdir, data_label),
theta_prior=theta_prior,
tref=tref, minStartTime=tstart, maxStartTime=tend,
nwalkers=nwalkers, ntemps=ntemps, nsteps=[nsteps, nsteps]
nwalkers=nwalkers, ntemps=ntemps, nsteps=[nsteps, nsteps],
log10temperature_min=log10temperature_min)
#mcmc.run(Nsegs0=20, R=10)
mcmc.run(run_setup)
mcmc.run(Nsegs0=20, R=10)
#mcmc.run(run_setup)
Paper/AllSkyMC/runTimeHist.png

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Paper/AllSkyMC/runTimeHist.png

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Paper/AllSkyMC/runTimeHist.png
Paper/AllSkyMC/runTimeHist.png
Paper/AllSkyMC/runTimeHist.png
Paper/AllSkyMC/runTimeHist.png
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......@@ -9,4 +9,4 @@ Log=CollectedOutput/log.$(Cluster).$(Process)
request_cpus = 1
request_memory = 16 GB
Queue 70
Queue 1
......@@ -4,7 +4,7 @@
export PATH="/home/gregory.ashton/anaconda2/bin:$PATH"
export MPLCONFIGDIR=/home/gregory.ashton/.config/matplotlib
for ((n=0;n<1;n++))
for ((n=0;n<10;n++))
do
/home/gregory.ashton/anaconda2/bin/python generate_data.py "$1" /local/user/gregory.ashton --no-template-counting --no-interactive
done
......
......@@ -31,6 +31,7 @@ DeltaF0 = VF0 * np.sqrt(3)/(np.pi*Tspan)
DeltaF1 = VF1 * np.sqrt(45/4.)/(np.pi*Tspan**2)
depths = np.linspace(100, 400, 9)
depths = [118.75, 156.25]
nsteps = 25
run_setup = [((nsteps, 0), 20, False),
......
......@@ -33,10 +33,7 @@ for fn in filenames:
df = pd.read_csv(
fn, sep=' ', names=['depth', 'h0', 'dF0', 'dF1', 'twoF', 'runTime'])
df['CLUSTER_ID'] = fn.split('_')[1]
if len(df) != 9:
print len(df), fn
else:
df_list.append(df)
df_list.append(df)
df = pd.concat(df_list)
twoFstar = 60
......@@ -81,10 +78,9 @@ fig.tight_layout()
fig.savefig('directed_recovery.png')
total_number_steps = 5*20.
df_clean = df[df.CLUSTER_ID == '969049'] # Hack due to a change in the code
total_number_steps = 5*25.
fig, ax = plt.subplots()
ax.hist(df_clean.runTime/total_number_steps, bins=50)
ax.hist(df.runTime/total_number_steps, bins=50)
ax.set_xlabel('run-time per step [s]')
fig.tight_layout()
fig.savefig('runTimeHist.png')
......
Paper/DirectedMC/runTimeHist.png

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Paper/DirectedMC/runTimeHist.png

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Paper/DirectedMC/runTimeHist.png
Paper/DirectedMC/runTimeHist.png
Paper/DirectedMC/runTimeHist.png
Paper/DirectedMC/runTimeHist.png
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......@@ -9,4 +9,4 @@ Log=CollectedOutput/log.$(Cluster).$(Process)
request_cpus = 1
request_memory = 16 GB
Queue 6
Queue 1
Paper/allsky_recovery.png

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Paper/allsky_recovery.png

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Paper/allsky_recovery.png
Paper/allsky_recovery.png
Paper/allsky_recovery.png
Paper/allsky_recovery.png
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Paper/directed_recovery.png

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Paper/directed_recovery.png

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Paper/directed_recovery.png
Paper/directed_recovery.png
Paper/directed_recovery.png
Paper/directed_recovery.png
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