diff --git a/beta_spectrum/output/visualization.py b/beta_spectrum/output/visualization.py
index cf7e60a..fad5450 100644
--- a/beta_spectrum/output/visualization.py
+++ b/beta_spectrum/output/visualization.py
@@ -189,11 +189,7 @@ def _apply_figure_header(fig: Figure, meta: Dict[str, Any]) -> None:
     """Write the figure header/footer lines from the CSV metadata."""
     e_step_keV = (meta["e_step_MeV"] or 0.0) * 1000.0
     endpoint = meta["endpoint_keV"]
-    header = (
-        f"{meta['nuclide']}  "
-        f"|  E₀={endpoint:.1f} keV  "
-        f"|  ΔE={e_step_keV:.1f} keV"
-    )
+    header = f"{meta['nuclide']}  |  E₀={endpoint:.1f} keV  |  ΔE={e_step_keV:.1f} keV"
     fig.text(
         0.01,
         0.98,
diff --git a/scripts/analyze_raw.py b/scripts/analyze_raw.py
index d027b29..25b4a77 100644
--- a/scripts/analyze_raw.py
+++ b/scripts/analyze_raw.py
@@ -219,9 +219,7 @@ def main() -> None:
     print(f"{'=' * 60}")
     print(f"Run range: {min(run_ids)} - {max(run_ids)}")
     print(f"Total counts: {min(total_rates):.0f} - {max(total_rates):.0f}")
-    print(
-        f"Low-energy fraction: {min(low_fractions):.3f} " f"- {max(low_fractions):.3f}"
-    )
+    print(f"Low-energy fraction: {min(low_fractions):.3f} - {max(low_fractions):.3f}")
     print(f"Endpoint estimate: {min(endpoints):.1f} - {max(endpoints):.1f} keV")
 
     # Endpoint drift
@@ -233,7 +231,7 @@ def main() -> None:
         slope_e = lin_e[0]
         intercept_e = lin_e[1]
         r_e = lin_e[2]
-        print(f"\nEndpoint drift: {slope_e:.3f} keV/run (R²={r_e ** 2:.4f})")
+        print(f"\nEndpoint drift: {slope_e:.3f} keV/run (R²={r_e**2:.4f})")
         print(f"  Start (run 1): {intercept_e + slope_e * run_ids[0]:.1f} keV")
         print(
             f"  End (run {run_ids[-1]}): {intercept_e + slope_e * run_ids[-1]:.1f} keV"
@@ -245,7 +243,7 @@ def main() -> None:
     )
     slope_r = lin_r[0]
     r_r = lin_r[2]
-    print(f"\nTotal count rate drift: {slope_r:.0f} counts/run (R²={r_r ** 2:.4f})")
+    print(f"\nTotal count rate drift: {slope_r:.0f} counts/run (R²={r_r**2:.4f})")
 
     # Save results
     results_file = output_dir / "rate_analysis.csv"