diff --git a/docs/fully_coherent_search_using_MCMC_on_glitching_data.md b/docs/fully_coherent_search_using_MCMC_on_glitching_data.md
index 80073253fe6f50dd3f948ae327c43e30f10d137b..4360d4f5fb3c3bf77d5e47dc02e06cd2867ea232 100644
--- a/docs/fully_coherent_search_using_MCMC_on_glitching_data.md
+++ b/docs/fully_coherent_search_using_MCMC_on_glitching_data.md
@@ -39,7 +39,7 @@ between the different peaks in the posterior).
 ntemps = 2
 log10temperature_min = -0.01
 nwalkers = 100
-nsteps = [5000, 10000]
+nsteps = [500, 500]
 
 mcmc = MCMCSearch('fully_coherent_search_using_MCMC_on_glitching_data', 'data',
                   sftfilepath='data/*_glitch*.sft',
diff --git a/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_corner.png b/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_corner.png
index a3812bfd1aa21d5add813c9405d37cc1b3ea5639..d5956109ad50e01f98cc941cbd0a280ff9faa898 100644
Binary files a/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_corner.png and b/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_corner.png differ
diff --git a/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_walkers.png b/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_walkers.png
index 6ad24a11b4e4488a071cae1f861e44bef4f15fd1..c5f3da6c366a796ae9ac54801448d0cd3bb169d5 100644
Binary files a/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_walkers.png and b/docs/img/fully_coherent_search_using_MCMC_on_glitching_data_walkers.png differ
diff --git a/examples/fully_coherent_search_using_MCMC_on_glitching_data.py b/examples/fully_coherent_search_using_MCMC_on_glitching_data.py
index e7fbeea1251924f6416f8816a8dea8fff67d1103..75c35cbd33573b335737771964d9b172fb7aefbc 100644
--- a/examples/fully_coherent_search_using_MCMC_on_glitching_data.py
+++ b/examples/fully_coherent_search_using_MCMC_on_glitching_data.py
@@ -1,10 +1,12 @@
+import numpy as np
 from pyfstat import MCMCSearch
 
 F0 = 30.0
 F1 = -1e-10
 F2 = 0
-Alpha = 5e-3
-Delta = 6e-2
+Alpha = np.radians(83.6292)
+Delta = np.radians(22.0144)
+
 tref = 362750407.0
 
 tstart = 1000000000
@@ -21,11 +23,11 @@ theta_prior = {'F0': {'type': 'unif', 'lower': F0-1e-4, 'upper': F0+1e-4},
 ntemps = 2
 log10temperature_min = -0.01
 nwalkers = 100
-nsteps = [5000, 10000]
+nsteps = [500, 500]
 
 mcmc = MCMCSearch('fully_coherent_search_using_MCMC_on_glitching_data', 'data',
                   sftfilepath='data/*_glitch*.sft',
-                  theta_prior=theta_prior, tref=tref, tstart=tstart, tend=tend,
+                  theta_prior=theta_prior, tref=tref, minStartTime=tstart, maxStartTime=tend,
                   nsteps=nsteps, nwalkers=nwalkers, ntemps=ntemps,
                   log10temperature_min=log10temperature_min)
 mcmc.run()