diff --git a/singlepulse.py b/singlepulse.py
index 0ef63b1..0a70f25 100644
--- a/singlepulse.py
+++ b/singlepulse.py
@@ -25,7 +25,7 @@ from astropy.coordinates import Angle, Latitude, Longitude
 import astropy.units as u
 
 #AH: Modifying this to support multiple directories
-main_dir = os.path.join("/ldata","trunk")
+main_dir = os.path.join("ldata","trunk")
 pulsar_dir_list = [os.path.join(main_dir, name) for name in 
     ["data_2025-04-24_07-36-04", "data_2025-04-29_07-50-16", "data_2025-04-30_07-53-07", "data_2025-04-30_08-18-17", "data_2025-05-01_07-47-34"]]
 #AH: old variable: pulsar_dir
@@ -325,37 +325,35 @@ def compute_snr_from_h5(h5_file, detrend_ft=True, mad_filter=True, save=False, s
     
 
 #%%
-for i, pulsar_dir in enumerate(pulsar_dir_list):
+for pulsar_dir in pulsar_dir_list:
     save_path = save_path_list[i] #AH: link directory and save path in a bit of a messy way oops
     h5_dir = os.path.join(pulsar_dir,"cands","")
-    print(h5_dir)
     h5_files = sorted(glob.glob(f"{h5_dir}*.h5"))
 
     results = []
 
     for filepath in h5_files:
-        print(filepath)
-        try:
-            fluxes_mjy, flux_stds, widths_t, peak_mjds, time_peaks, time_pulse, dm = compute_snr_from_h5(filepath, 
-                                                                                                    detrend_ft=True, 
-                                                                                                    mad_filter=True, 
-                                                                                                    save=True, 
-                                                                                                    show=False, 
-                                                                                                    save_path=save_path)
-    
-            for i in range(0,(len(fluxes_mjy))):     
-                results.append({
-                    "mjd": peak_mjds[i],
-                    "flux_std": flux_stds[i],
-                    "flux_mJy": fluxes_mjy[i],
-                    "width_s": widths_t[i],
-                    "Pulse time (ms)": time_peaks[i],
-                    "tcand": time_pulse,
-                    "dm": dm,
-                    "filename": os.path.basename(filepath)
-                })                
-        except Exception as e:
-            print(f"Error processing {filepath}: {e}")
+        #try:
+        fluxes_mjy, flux_stds, widths_t, peak_mjds, time_peaks, time_pulse, dm = compute_snr_from_h5(filepath, 
+                                                                                                detrend_ft=True, 
+                                                                                                mad_filter=True, 
+                                                                                                save=True, 
+                                                                                                show=False, 
+                                                                                                save_path=save_path)
+
+        for i in range(0,(len(fluxes_mjy))):     
+            results.append({
+                "mjd": peak_mjds[i],
+                "flux_std": flux_stds[i],
+                "flux_mJy": fluxes_mjy[i],
+                "width_s": widths_t[i],
+                "Pulse time (ms)": time_peaks[i],
+                "tcand": time_pulse,
+                "dm": dm,
+                "filename": os.path.basename(filepath)
+            })                
+        #except Exception as e:
+            #print(f"Error processing {filepath}: {e}")
 
     df = pd.DataFrame(results)
     #%%