diff --git a/benchmarks/cloudmask/target/greene_v0.5/library.py b/benchmarks/cloudmask/target/greene_v0.5/library.py
index 5041cde5..626a3990 100644
--- a/benchmarks/cloudmask/target/greene_v0.5/library.py
+++ b/benchmarks/cloudmask/target/greene_v0.5/library.py
@@ -1,5 +1,8 @@
 import pandas as pd
 from datetime import datetime
+from astral.sun import sun
+from astral import LocationInfo
+import plotly.express as px
 
 class SLSTRFileNameParser:
     def __init__(self, file_name):
@@ -10,7 +13,7 @@ def parse_file_name(self):
         components = self.file_name.split('_')
 
         return {
-            "filename": file_name,
+            "filename": self.file_name,
             "mission_id": components[0],
             "data_source": components[1],
             "processing_level": components[2],
@@ -65,18 +68,38 @@ def plot_gantt_chart(dataframe):
         # Show the chart
         fig.show()
 
+    def is_daytime(self, latitude, longitude):
+        # Extracting the date and time from the start_time in the file_info
+        datetime_obj = self.file_info["start_time"]
 
+        # Getting the location information
+        location = LocationInfo(latitude, longitude)
 
+        # Calculating the sunrise and sunset times for the given date and location
+        s = sun(location.observer, date=datetime_obj)
+
+        # Checking if the timestamp is between sunrise and sunset
+        return s["sunrise"] < datetime_obj < s["sunset"]
 
 # Example usage with multiple file names
-#file_names = [
-#    "S3A_SL_2_LST____20151229T095534_20151229T114422_20160102T150019_6528_064_365______LN2_D_NT_001.SEN3",
-#    "S3B_SL_1_RBT_BW_20160101T120000_20160101T130000_20160101T140000_GLOBAL___________LN2_R_NT_002.SEN3",
-#    # Add more file names as needed
-#]
+# file_names = [
+#     "S3A_SL_2_LST____20151229T095534_20151229T114422_20160102T150019_6528_064_365______LN2_D_NT_001.SEN3",
+#     "S3B_SL_1_RBT_BW_20160101T120000_20160101T130000_20160101T140000_GLOBAL___________LN2_R_NT_002.SEN3",
+#     # Add more file names as needed
+# ]
 
 # Creating a DataFrame using the class method
-#df = SLSTRFileNameParser.generate_dataframe(file_names)
+# df = SLSTRFileNameParser.generate_dataframe(file_names)
 
 # Displaying the DataFrame
-#print(df)
+# print(df)
+
+# Plotting Gantt chart using the class method
+# SLSTRFileNameParser.plot_gantt_chart(df)
+
+# Checking if timestamps are daytime using the class method
+# latitude = 37.7749  # Replace with the latitude of the specific location
+# longitude = -122.4194  # Replace with the longitude of the specific location
+
+# Assuming you want to check daytime for the first file in the DataFrame
+# print(f"{df.iloc[0]['filename']} is daytime: {SLSTRFileNameParser(df.iloc[0]['filename']).is_daytime(latitude, longitude)}")