diff --git a/clen_tools/detector-distance-refinement.py b/clen_tools/detector-distance-refinement.py
index c49e4ce..b9911ea 100644
--- a/clen_tools/detector-distance-refinement.py
+++ b/clen_tools/detector-distance-refinement.py
@@ -394,10 +394,9 @@ def scrub_scan( scan_top_dir, scan ):
     min_alpha_clen, min_beta_clen, min_gamma_clen, min_c_clen, min_alpha_val, min_beta_val, min_gamma_val, min_c_val = find_clen_values(stats_df)
 
     # print suggested clen
-    if scan == "fine":
-        suggested_clen = (min_alpha_clen + min_beta_clen + min_gamma_clen )/3
-        suggested_clen = round(suggested_clen, 4)
-        print ("The suggested clen = {0}".format(suggested_clen))
+    suggested_clen = (min_alpha_clen + min_beta_clen + min_gamma_clen )/3
+    suggested_clen = round(suggested_clen, 4)
+    print ("The suggested clen = {0}".format(suggested_clen))
     
     # plot results
     fig, (ax1, ax3) = plt.subplots(1, 2)
@@ -409,7 +408,8 @@ def scrub_scan( scan_top_dir, scan ):
 
     fig.tight_layout()
     plt.savefig("{0}.png".format(scan))
-    plt.show()
+
+    return suggested_clen
 
 def main( cwd, lst, sample, geom, centre_clen, cell_file ):
 
@@ -417,13 +417,14 @@ def main( cwd, lst, sample, geom, centre_clen, cell_file ):
 
     scan( cwd, lst, sample, geom, centre_clen, cell_file, step_size="coarse" )
 
-    scrub_scan( top_dir_coarse, scan="coarse" )
+    suggested_clen = scrub_scan( top_dir_coarse, scan="coarse" )
 
     top_dir_fine = "{0}/fine".format( cwd )
 
-    scan( cwd, lst, sample, geom, centre_clen, cell_file, step_size="fine" )
+    scan( cwd, lst, sample, geom, suggested_clen, cell_file, step_size="fine" )
 
     scrub_scan( top_dir_fine, scan="fine" )
+    plt.show()
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()