Update documentation part 13

Author: Johannes Lang

docs/assets/Cwaiting.png

@@ -223,4 +223,5 @@ Notes:
 - The script uses a spline interpolator (SciPy), however linear interpolations are often good enough.
 - The x-axis is logarithmic by default. Use `--linear-x` to switch to a linear x-axis.
 - Axis labels use robust Unicode text by default (no LaTeX dependency). If you want full LaTeX rendering and have a working LaTeX install, pass `--usetex`.
+- Curves are automatically truncated for $t_w+\tau > t_{\mathrm{last}}$ (no extrapolation beyond the simulated time window).
 - Use `--tau-min/--tau-max` and `--n-tau` to control the plotted interval and resolution.

docs/tutorials/reading-outputs.md

@@ -334,6 +334,14 @@ def main() -> int:
 		t1 = tw + taus
 		theta = tw / (tw + taus)
 		y = f(t1, theta)
+
+		# Do not show values beyond the simulated time window.
+		# The compressed grid is defined only up to t_last; for t_w+tau > t_last
+		# the correlation/response is not available and should not be plotted.
+		mask = t1 > tlast
+		if np.any(mask):
+			y = np.asarray(y, dtype=float).copy()
+			y[mask] = np.nan
 		curves.append((tw, y))
 
 	# Plot