diff --git a/.gitignore b/.gitignore
index 1a2920d..79a9c70 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
 doc/*/*.*
 !doc/*/*.tex
 !doc/*/*.bib
+*.cpython-311.pyc
\ No newline at end of file
diff --git a/README.md b/README.md
index 5e1095b..bcf8a7b 100644
--- a/README.md
+++ b/README.md
@@ -38,3 +38,15 @@ Description of PCB design choices.
 Measurement reports for aforementioned experiments.
 - Arne van Iterson
 - Tom Selier
+
+## Scripts
+This repository contains scripts to assist in parsing data obtained from a Tektronix oscilloscope 
+
+### `./scripts/reflection.py`
+A script containing the neccessary steps to find peaks and measure the peaks and throughs of a 1d signal.
+
+### `./scripts/reader.py`
+A module containing a class to read data from a tektronix oscilloscope. 
+
+### `./scripts/helper.py`
+A module containing a function that slices array based on time.
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diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..622a25f
Binary files /dev/null and b/requirements.txt differ
diff --git a/scripts/helper.py b/scripts/helper.py
new file mode 100644
index 0000000..18334da
--- /dev/null
+++ b/scripts/helper.py
@@ -0,0 +1,17 @@
+# {'TIME': [data], 'CH1': [data], 'CH2': [data]}
+def cut_time(data : dict, start : float, end : float) -> dict:
+    idx_start = 0
+    idx_end = 0
+
+    for idx, t in enumerate(data['TIME']):
+        if t > start and idx_start == 0:
+            idx_start = idx
+        if t > end and idx_end == 0:
+            idx_end = idx
+        if idx_end != 0 and idx_start != 0:
+            break
+    
+    if idx_end != 0 and idx_start != 0: 
+        return {key: value[idx_start:idx_end] for key, value in data.items()}
+    else:
+        return None
diff --git a/scripts/reader.py b/scripts/reader.py
new file mode 100644
index 0000000..1f9e2bc
--- /dev/null
+++ b/scripts/reader.py
@@ -0,0 +1,35 @@
+import csv
+
+class Reader():
+    def __init__(self) -> None:
+        pass
+    
+    def read_file(self, filename) -> dict:
+        with open(filename, 'r') as file:
+            data = list(csv.reader(file, delimiter=','))
+            
+            # Delete metadata for now
+            for i in range(15):
+                data.pop(0)
+
+            # {'TIME': [data], 'CH1': [data], 'CH2': [data]}
+            channels = []
+            for i in range(len(data[0])):
+                channels.append([])
+
+            for step in data[1:]:
+                for idx, point in enumerate(step):
+                    channels[idx].append(float(point))
+
+            result = {}
+            for idx, label in enumerate(data[0]):
+                result[label] = channels[idx]
+
+            return result
+
+
+if __name__ == '__main__':
+    reader = Reader()
+    data = reader.read_file(r".\data\T0007ALL.csv")
+    print(data)
+    
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diff --git a/scripts/reflection.py b/scripts/reflection.py
new file mode 100644
index 0000000..c412a0d
--- /dev/null
+++ b/scripts/reflection.py
@@ -0,0 +1,45 @@
+from matplotlib import pyplot as plt
+from scipy import signal
+import numpy as np
+import reader
+import helper
+
+# load data
+data_reader = reader.Reader()
+data = data_reader.read_file(r".\data\T0004CH1.csv")
+
+# slice empty space, start and end time is in seconds
+data = helper.cut_time(data, -1e-7, 5e-7)
+
+# find peaks, use max to find the highest, or a threshold
+# adjust width to find the middle of a peak (width is in indices)
+# peaks, _ = signal.find_peaks(data['CH1'], max(data['CH1']))
+peaks, _ = signal.find_peaks(data['CH1'], 2, width=10)
+
+# find throughs, comment away it finds too many throughs
+# invert = [-x for x in data['CH1']]
+# throughs, _ = signal.find_peaks(invert, max(invert))
+# peaks = np.concatenate([peaks, throughs])
+
+# store time step
+step = data['TIME'][1] - data['TIME'][0]
+
+# do some calcs
+idx_diff = peaks[-1] - peaks[0]
+tim_diff = idx_diff*step
+print(f"Time between peaks: {tim_diff*1e9:.1f} ns")
+c = 299792458 
+k = 0.66
+c_coax = c * k
+print(f"Measured distance: {(tim_diff/2)*c_coax:.2f} m")
+
+# Plot data
+plt.plot(data['TIME'], data['CH1'])
+if len(peaks) > 0:
+    for peak in peaks:
+        plt.vlines(
+            peak*step+data['TIME'][0], 
+            min(data['CH1']), 
+            max(data['CH1']), 'red', 'dashed')
+plt.grid()
+plt.show()