Minor updates to examples in paper

Paper/Examples/fully_coherent_search_using_MCMC.py

@@ -53,7 +53,7 @@ nsteps = [50, 50]
 
 mcmc = pyfstat.MCMCSearch(
     label='fully_coherent_search_using_MCMC', outdir='data',
-    sftfilepath='data/*'+data_label+'*sft', theta_prior=theta_prior, tref=tref,
+    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.run(context='paper', subtractions=[30, -1e-10])

Paper/Examples/transient_search_using_MCMC.py

@@ -55,7 +55,10 @@ mcmc = pyfstat.MCMCSearch(
     nwalkers=nwalkers, ntemps=ntemps,
     log10temperature_min=log10temperature_min)
 mcmc.run()
-mcmc.plot_cumulative_max()
+fig, ax = plt.subplots()
+mcmc.plot_cumulative_max(ax=ax)
+ax.set_xlabel('Days from $t_\mathrm{start}$')
+fig.savefig('data/transient_search_initial_stage_twoFcumulative')
 mcmc.print_summary()
 
 theta_prior = {'F0': {'type': 'unif',
@@ -69,9 +72,9 @@ theta_prior = {'F0': {'type': 'unif',
                'Delta': Delta,
                'transient_tstart': {'type': 'unif',
                                     'lower': data_tstart,
-                                    'upper': data_tend},
+                                    'upper': data_tend-0.2*duration},
                'transient_duration': {'type': 'halfnorm',
-                                      'loc': 0,
+                                      'loc': 0.01*duration,
                                       'scale': 0.5*duration}
                }
 

Paper/follow_up_run_setup.tex

 \begin{tabular}{c|cccccc}
 Stage & $\Nseg$ & $\Tcoh^{\rm days}$ &$\Nsteps$ & $\V$ & $\Vsky$ & $\Vpe$ \\ \hline
-0 & 100 & 1.0 & 200 & $1{\times}10^{2}$ & 7.0 & 10.0 \\
-1 & 56 & 1.8 & 200 & $1{\times}10^{3}$ & 20.0 & 40.0 \\
-2 & 31 & 3.2 & 200 & $1{\times}10^{4}$ & 70.0 & $1{\times}10^{2}$ \\
-3 & 17 & 5.9 & 200 & $1{\times}10^{5}$ & $2{\times}10^{2}$ & $5{\times}10^{2}$ \\
-4 & 9 & 11.1 & 200 & $1{\times}10^{6}$ & $8{\times}10^{2}$ & $2{\times}10^{3}$ \\
-5 & 5 & 20.0 & 200 & $1{\times}10^{7}$ & $2{\times}10^{3}$ & $5{\times}10^{3}$ \\
-6 & 2 & 50.0 & 200 & $1{\times}10^{8}$ & $3{\times}10^{3}$ & $3{\times}10^{4}$ \\
-7 & 1 & 100.0 & 200,200 & $3{\times}10^{8}$ & $4{\times}10^{3}$ & $6{\times}10^{4}$ \\
+0 & 100 & 1.0 & 200 & 95.0 & 6.8 & 14.0 \\
+1 & 56 & 1.8 & 200 & $9.6{\times}10^{2}$ & 22.0 & 45.0 \\
+2 & 31 & 3.2 & 200 & $1.0{\times}10^{4}$ & 69.0 & $1.5{\times}10^{2}$ \\
+3 & 17 & 5.9 & 200 & $1.1{\times}10^{5}$ & $2.3{\times}10^{2}$ & $4.8{\times}10^{2}$ \\
+4 & 9 & 11.1 & 200 & $1.3{\times}10^{6}$ & $7.5{\times}10^{2}$ & $1.7{\times}10^{3}$ \\
+5 & 5 & 20.0 & 200 & $1.1{\times}10^{7}$ & $2.0{\times}10^{3}$ & $5.5{\times}10^{3}$ \\
+6 & 2 & 50.0 & 200 & $1.0{\times}10^{8}$ & $3.3{\times}10^{3}$ & $3.1{\times}10^{4}$ \\
+7 & 1 & 100.0 & 200,200 & $2.7{\times}10^{8}$ & $4.4{\times}10^{3}$ & $6.2{\times}10^{4}$ \\
 \end{tabular}

Paper/paper_cw_mcmc.tex

@@ -53,15 +53,15 @@
 
 \title{MCMC follow-up of continuous gravitational wave candidates}
 
-    \author{G. Ashton}
-    \email[E-mail: ]{gregory.ashton@ligo.org}
-    \affiliation{Max Planck Institut f{\"u}r Gravitationsphysik
-                 (Albert Einstein Institut) and Leibniz Universit\"at Hannover,
-                 30161 Hannover, Germany}
-    \author{R. Prix}
-    \affiliation{Max Planck Institut f{\"u}r Gravitationsphysik
-                 (Albert Einstein Institut) and Leibniz Universit\"at Hannover,
-                 30161 Hannover, Germany}
+%    \author{G. Ashton}
+%    \email[E-mail: ]{gregory.ashton@ligo.org}
+%    \affiliation{Max Planck Institut f{\"u}r Gravitationsphysik
+%                 (Albert Einstein Institut) and Leibniz Universit\"at Hannover,
+%                 30161 Hannover, Germany}
+%    \author{R. Prix}
+%    \affiliation{Max Planck Institut f{\"u}r Gravitationsphysik
+%                 (Albert Einstein Institut) and Leibniz Universit\"at Hannover,
+%                 30161 Hannover, Germany}
 
 \date{\today}
 
@@ -1215,13 +1215,13 @@ the improvement in fit due to the inclustion of the transient parameters was
 sufficient to compensate for the greater prior volume and produce an
 improvement in the evidence for the model.
 
-\begin{figure}[htb]
+\begin{figure*}[htb]
 \centering
-\includegraphics[width=0.45\textwidth]{transient_search_corner}
+\includegraphics[width=0.8\textwidth]{transient_search_corner}
 \caption{Posterior distributions for a targeted search of data containing
 a simulated transient signal and Gaussian noise.}
 \label{fig_transient_posterior}
-\end{figure}
+\end{figure*}