Minor polishing of corner plots

examples/glitch_examples/semicoherent_glitch_robust_directed_MCMC_search_on_1_glitch.py

 import numpy as np
 import matplotlib.pyplot as plt
 import pyfstat
+import gridcorner
 from make_simulated_data import tstart, duration, tref, F0, F1, F2, Alpha, Delta, delta_F0, dtglitch, outdir
 
-plt.style.use('paper')
+plt.style.use('./paper.mplstyle')
 
 label = 'semicoherent_glitch_robust_directed_MCMC_search_on_1_glitch'
 
@@ -47,5 +48,7 @@ mcmc.transform_dictionary['F1'] = dict(
     subtractor=F1, symbol='$\dot{f}-\dot{f}^\mathrm{s}$')
 
 mcmc.run()
-mcmc.plot_corner(label_offset=0.15, truths=[0, 0, delta_F0, 50])
+fig_and_axes = gridcorner._get_fig_and_axes(4, 2, 0.05)
+mcmc.plot_corner(label_offset=0.35, truths=[0, 0, delta_F0, 50],
+                 fig_and_axes=fig_and_axes)
 mcmc.print_summary()

examples/glitch_examples/semicoherent_glitch_robust_directed_grid_search_on_1_glitch.py

@@ -12,7 +12,7 @@ except ImportError:
 
 label = 'semicoherent_glitch_robust_directed_grid_search_on_1_glitch'
 
-plt.style.use('paper')
+plt.style.use('./paper.mplstyle')
 
 Nstar = 1000
 F0_width = np.sqrt(Nstar)*np.sqrt(12)/(np.pi*duration)
@@ -29,6 +29,8 @@ tglitchs = [tstart+0.1*duration, tstart+0.9*duration, 0.8*float(duration)/N]
 delta_F0s = [0, max_delta_F0, max_delta_F0/N]
 delta_F1s = [0]
 
+print 'Prior widths=', F0_width, F1_width
+
 search = pyfstat.GridGlitchSearch(
     label, outdir, 'data/*1_glitch*sft', F0s=F0s, F1s=F1s, F2s=F2s,
     Alphas=Alphas, Deltas=Deltas, tref=tref, minStartTime=tstart,
@@ -48,7 +50,7 @@ xyz = [F0_vals, F1_vals, delta_F0s_vals, tglitch_vals_days]
 labels = ['$f - f^\mathrm{s}$\n[Hz]', '$\dot{f} - \dot{f}^\mathrm{s}$\n[Hz/s]',
           '$\delta f$\n[Hz]', '$t^g_0$\n[days]', '$\widehat{2\mathcal{F}}$']
 fig, axes = gridcorner(
-    twoF, xyz, projection='log_mean', whspace=0.1, factor=1.2, labels=labels,
-    showDvals=False, lines=[0, 0, delta_F0, 50])
+    twoF, xyz, projection='log_mean', labels=labels,
+    showDvals=False, lines=[0, 0, delta_F0, 50], label_offset=0.35)
 fig.savefig('{}/{}_projection_matrix.png'.format(outdir, label),
             bbox_inches='tight')

pyfstat/mcmc_based_searches.py

@@ -743,7 +743,7 @@ class MCMCSearch(core.BaseSearchClass):
                                          max_n_ticks=4,
                                          plot_contours=True,
                                          plot_datapoints=True,
-                                         label_kwargs={'fontsize': 12},
+                                         #label_kwargs={'fontsize': 12},
                                          data_kwargs={'alpha': 0.1,
                                                       'ms': 0.5},
                                          range=_range,
@@ -762,10 +762,10 @@ class MCMCSearch(core.BaseSearchClass):
                 ax.set_rasterization_zorder(-10)
 
                 for tick in ax.xaxis.get_major_ticks():
-                    tick.label.set_fontsize(8)
+                    #tick.label.set_fontsize(8)
                     tick.label.set_rotation('horizontal')
                 for tick in ax.yaxis.get_major_ticks():
-                    tick.label.set_fontsize(8)
+                    #tick.label.set_fontsize(8)
                     tick.label.set_rotation('vertical')
 
             plt.tight_layout(h_pad=0.0, w_pad=0.0)