diff --git a/examples/glitch_examples/make_simulated_data.py b/examples/glitch_examples/make_simulated_data.py
index ffa9e3c8378a609a284397f63e14e50ab85f9e1e..f89132371f4eb501c7052a4789739582f4af3bcf 100644
--- a/examples/glitch_examples/make_simulated_data.py
+++ b/examples/glitch_examples/make_simulated_data.py
@@ -43,15 +43,15 @@ glitch_data.make_data()
 
 # Making data with two glitches
 
-dtglitch = [duration/4.0, 4*duration/5.0]
-delta_phi = [0, 0]
-delta_F0 = [4e-6, 3e-7]
-delta_F1 = [0, 0]
-delta_F2 = [0, 0]
+dtglitch_2 = [duration/4.0, 4*duration/5.0]
+delta_phi_2 = [0, 0]
+delta_F0_2 = [4e-6, 3e-7]
+delta_F1_2 = [0, 0]
+delta_F2_2 = [0, 0]
 
 two_glitch_data = GlitchWriter(
     label='2_glitch', outdir=outdir, tref=tref, tstart=tstart, F0=F0, F1=F1,
     F2=F2, duration=duration, Alpha=Alpha, Delta=Delta, h0=h0, sqrtSX=sqrtSX,
-    dtglitch=dtglitch, delta_phi=delta_phi, delta_F0=delta_F0,
-    delta_F1=delta_F1, delta_F2=delta_F2)
+    dtglitch=dtglitch_2, delta_phi=delta_phi_2, delta_F0=delta_F0_2,
+    delta_F1=delta_F1_2, delta_F2=delta_F2_2)
 two_glitch_data.make_data()
diff --git a/examples/glitch_examples/semicoherent_glitch_robust_directed_MCMC_search_on_1_glitch.py b/examples/glitch_examples/semicoherent_glitch_robust_directed_MCMC_search_on_1_glitch.py
index 15114e0ce45365808531e68be83f2c7728783438..896d7d59d2d68fc14fc5b660bdcca06551a4346e 100644
--- a/examples/glitch_examples/semicoherent_glitch_robust_directed_MCMC_search_on_1_glitch.py
+++ b/examples/glitch_examples/semicoherent_glitch_robust_directed_MCMC_search_on_1_glitch.py
@@ -1,7 +1,7 @@
 import numpy as np
 import matplotlib.pyplot as plt
 import pyfstat
-from make_simulated_data import tstart, duration, tref, F0, F1, F2, Alpha, Delta, outdir
+from make_simulated_data import tstart, duration, tref, F0, F1, F2, Alpha, Delta, delta_F0, dtglitch, outdir
 
 plt.style.use('paper')
 
@@ -33,19 +33,19 @@ theta_prior = {
 ntemps = 3
 log10beta_min = -0.5
 nwalkers = 100
-nsteps = [500, 500]
+nsteps = [500, 1000]
 
 mcmc = pyfstat.MCMCGlitchSearch(
     label=label, sftfilepattern='data/*1_glitch*sft', theta_prior=theta_prior,
     tref=tref, minStartTime=tstart, maxStartTime=tstart+duration,
     nsteps=nsteps, nwalkers=nwalkers, ntemps=ntemps,
     log10beta_min=log10beta_min, nglitch=1)
-
+print delta_F0
 mcmc.transform_dictionary['F0'] = dict(
     subtractor=F0, symbol='$f-f^\mathrm{s}$')
 mcmc.transform_dictionary['F1'] = dict(
     subtractor=F1, symbol='$\dot{f}-\dot{f}^\mathrm{s}$')
 
 mcmc.run()
-mcmc.plot_corner(label_offset=0.15)
+mcmc.plot_corner(label_offset=0.15, truths=[0, 0, delta_F0, 50])
 mcmc.print_summary()
diff --git a/examples/glitch_examples/semicoherent_glitch_robust_directed_grid_search_on_1_glitch.py b/examples/glitch_examples/semicoherent_glitch_robust_directed_grid_search_on_1_glitch.py
index f8b45ce703fc7c1bf6a3136a11c33dcba2072912..8d33a661b4ea1963888481afa5a943d642bfb2af 100644
--- a/examples/glitch_examples/semicoherent_glitch_robust_directed_grid_search_on_1_glitch.py
+++ b/examples/glitch_examples/semicoherent_glitch_robust_directed_grid_search_on_1_glitch.py
@@ -1,7 +1,7 @@
 import pyfstat
 import numpy as np
 import matplotlib.pyplot as plt
-from make_simulated_data import tstart, duration, tref, F0, F1, F2, Alpha, Delta, outdir
+from make_simulated_data import tstart, duration, tref, F0, F1, F2, Alpha, Delta, delta_F0, outdir
 
 try:
     from gridcorner import gridcorner
@@ -45,9 +45,10 @@ tglitch_vals_days = (tglitch_vals-tstart) / 86400.
 twoF = search.data[:, -1].reshape((len(F0_vals), len(F1_vals),
                                    len(delta_F0s_vals), len(tglitch_vals)))
 xyz = [F0_vals, F1_vals, delta_F0s_vals, tglitch_vals_days]
-labels = ['$f - f_0$\n[Hz]', '$\dot{f} - \dot{f}_0$\n[Hz/s]',
+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)
+    twoF, xyz, projection='log_mean', whspace=0.1, factor=1.2, labels=labels,
+    showDvals=False, lines=[0, 0, delta_F0, 50])
 fig.savefig('{}/{}_projection_matrix.png'.format(outdir, label),
             bbox_inches='tight')