diff -r c4f923017349 -r a0d61ac3719e extract_aux.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/extract_aux.py	Sun Oct 04 13:02:26 2026 -0500
@@ -0,0 +1,95 @@
+#!.venv/bin/python3
+import argparse
+import csv
+from pathlib import Path
+
+import numpy as np
+
+from plot import find_files
+
+
+def extract_aux(prefix):
+
+    iter_files = find_files(prefix)
+
+    init_filename = "%s/init_aux.csv" % Path(prefix).parent
+    filename = "%s/res_aux.csv" % prefix
+
+    # Do true and noisy values
+
+    initdata = [
+        [
+            "k_true",
+            "c1_true",
+            "c2_true",
+            "k_noisy",
+            "c1_noisy",
+            "c2_noisy",
+        ]
+    ]
+
+    data0 = np.load("%s/omega_0.npz" % Path(prefix).parent)
+    k_true = data0["k_true"]
+    c1_true = data0["c1_true"]
+    c2_true = data0["c2_true"]
+    initdata.append(
+        [
+            k_true,
+            c1_true,
+            c2_true,
+            data0["k_noisy"],
+            data0["c1_noisy"],
+            data0["c2_noisy"],
+        ]
+    )
+    with open(init_filename, mode="w", newline="") as file:
+        # Create a csv.writer object
+        writer = csv.writer(file, delimiter="\t")
+        # Write data to the CSV file
+        writer.writerows(initdata)
+
+    # Do reconstructed values
+
+    auxdata = [
+        [
+            "iter",
+            "k",
+            "c1",
+            "c2",
+            "k_dist",
+            "c_dist",
+        ]
+    ]
+
+    for iter, file in iter_files:
+        d = np.load(file)
+        k = d["k"]
+        c1 = d["c1"]
+        c2 = d["c2"]
+        k_dist = np.abs(k - k_true)
+        c_dist = np.sqrt((c1 - c1_true) ** 2 + (c2 - c2_true) ** 2)
+        auxdata.append([iter, k, c1, c2, k_dist, c_dist])
+
+    # Open the file in write mode
+    with open(filename, mode="w", newline="") as file:
+        # Create a csv.writer object
+        writer = csv.writer(file, delimiter="\t")
+        # Write data to the CSV file
+        writer.writerows(auxdata)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        prog="extract_aux.py",
+        description="Extract auxiliary parameters from pointsource_pde",
+    )
+
+    parser.add_argument("filename")
+
+    args = parser.parse_args()
+
+    extract_aux(args.filename)
+
+
+if __name__ == "__main__":
+    main()