[simulations] fix bug with rmax (wrong rmax to distance bin conversion)

astrotools/simulations.py

@@ -732,7 +732,7 @@ class SourceBound(BaseSimulation):
             dis_idx = np.argmin(np.abs(np.atleast_1d(self.universe.rmax)[None] - self.dis_bins[:, None]), axis=0)
             # loop over all occuring distance bins and fill events of the respective sets
             for _dis in np.sort(np.unique(dis_idx)):
-                arrival_mat_far[self.dis_bins < _dis] = 0   # set probabilities inside rmax to zero
+                arrival_mat_far[0:_dis] = 0   # set probabilities inside rmax to zero
                 mask_pick = ~mask_close & (dis_idx == _dis)[:, np.newaxis]  # select background events of respective set
                 n_pick = np.sum(mask_pick)
                 arrival_mat_far /= arrival_mat_far.sum()    # normalize arrival matrix to then draw random samples
@@ -1225,7 +1225,8 @@ class SourceScenario:
         vecs = coord.eq2gal(coord.ang2vec(np.deg2rad(data['ra']), np.deg2rad(data['dec'])))
 
         flux = data['flux'] * 100 / np.sum(data['flux'])
-        return vecs, flux, data['distance'], data['names']
+        names = np.array([data['names'][i].decode('UTF-8') for i in range(len(data['names']))]).flatten()
+        return vecs, flux, data['distance'], names
 
     @staticmethod
     def agn_3fhl():
@@ -1238,7 +1239,8 @@ class SourceScenario:
         vecs = coord.eq2gal(coord.ang2vec(np.deg2rad(data['ra']), np.deg2rad(data['dec'])))
 
         flux = data['flux'] * 100 / np.sum(data['flux'])
-        return vecs, flux, data['distance'], data['names']
+        names = np.array([data['names'][i].decode('UTF-8') for i in range(len(data['names']))]).flatten()
+        return vecs, flux, data['distance'], names
 
     @staticmethod
     def gamma_agn():