diff --git a/pyfstat/grid_based_searches.py b/pyfstat/grid_based_searches.py
index f33f720a3be99f97ec81c6f0edcf2163675a26b0..3ba1b827047e7e9ccf939c415bdf34a7db1a29b8 100644
--- a/pyfstat/grid_based_searches.py
+++ b/pyfstat/grid_based_searches.py
@@ -279,8 +279,10 @@ class GridUniformPriorSearch():
             detectors=detectors, minCoverFreq=minCoverFreq,
             maxCoverFreq=maxCoverFreq, nsegs=nsegs)
 
-    def run(self, **kwargs):
+    def run(self):
         self.search.run()
+
+    def get_2D_plot(self, **kwargs):
         return self.search.plot_2D('F0', 'F1', **kwargs)
 
 
@@ -510,7 +512,8 @@ class DMoff_NO_SPIN(GridSearch):
         self.TERRESTRIAL_DAY = 86400.
         a0 = self.Re/self.c  # *np.cos(self.par['Delta'])
         self.m0 = np.max([4, int(np.ceil(2*np.pi*self.par['F0']*a0))])
-        logging.info('m0 = {}'.format(self.m0))
+        logging.info(
+            'Setting up DMoff_NO_SPIN search with m0 = {}'.format(self.m0))
 
     def get_results(self):
         """ Compute the three summed detection statistics
@@ -523,8 +526,7 @@ class DMoff_NO_SPIN(GridSearch):
         self.SSBprec = 2
         self.out_file = '{}/{}_gridFS_SSBPREC2.txt'.format(
             self.outdir, self.label)
-        self.F0s = [self.par['F0']+j/self.SIDEREAL_DAY
-                    for j in range(-self.m0, self.m0+1)]
+        self.F0s = [self.par['F0']+j/self.SIDEREAL_DAY for j in range(-4, 5)]
         self.run()
         twoF_SUM = np.sum(self.data[:, -1])
 
diff --git a/pyfstat/mcmc_based_searches.py b/pyfstat/mcmc_based_searches.py
index 68f5fc03d94b7d8debbde31250a058b91f77064f..e41fe8c9a5a9e3ace293532eadf45090fcc051c8 100644
--- a/pyfstat/mcmc_based_searches.py
+++ b/pyfstat/mcmc_based_searches.py
@@ -93,9 +93,13 @@ class MCMCSearch(core.BaseSearchClass):
         if os.path.isdir(outdir) is False:
             os.mkdir(outdir)
         self._add_log_file()
-        logging.info(
-            'Set-up MCMC search for model {} on data {}'.format(
-                self.label, self.sftfilepath))
+        logging.info('Set-up MCMC search for model {}'.format(self.label))
+        if sftfilepath:
+            logging.info('Using data {}'.format(self.sftfilepath))
+        else:
+            logging.info('No sftfilepath given')
+        if injectSources:
+            logging.info('Inject sources: {}'.format(injectSources))
         self.pickle_path = '{}/{}_saved_data.p'.format(self.outdir, self.label)
         self._unpack_input_theta()
         self.ndim = len(self.theta_keys)