Post-processing: comparing with and without breakwater

swash/config.ini

@@ -21,6 +21,7 @@ mpi=4
 [post]
 inp=inp_post
 case=sws_spec_buoy.npz
+compare=sws_spec_buoy_nb.npz
 out=out_post
 #nperseg=1024
 dt=0.25

swash/processing/post.py

@@ -5,7 +5,6 @@ import pathlib
 
 import matplotlib.pyplot as plt
 import numpy as np
-import pandas as pd
 import scipy.signal as sgl
 import scipy.fft as fft
 
@@ -25,7 +24,7 @@ config.read("config.ini")
 inp = pathlib.Path(config.get("post", "inp"))
 root = pathlib.Path(config.get("swash", "out"))
 
-log.info(f"Reading bathymetry from '{inp}'")
+log.info(f"Reading data from '{inp}'")
 data = np.load(inp.joinpath(config.get("post", "case")))
 x, t = data["x"], data["t"]
 
@@ -42,15 +41,48 @@ log.info(f"Computing reflection coefficient at x={x0}")
 eta = data["watl"][t > t0, arg_x0]
 u = data["vel"][t > t0, 0, arg_x0]
 
-phi_eta = np.abs(sgl.welch(eta, f, nperseg=nperseg))
-phi_u = np.abs(sgl.welch(u, f, nperseg=nperseg))
-phi_eta_u = np.abs(sgl.csd(eta, u, f, nperseg=nperseg))
+phi_eta = sgl.welch(eta, f, nperseg=nperseg)
+phi_u = sgl.welch(u, f, nperseg=nperseg)
+phi_eta_u = sgl.csd(eta, u, f, nperseg=nperseg)
 
+H = np.sqrt(np.abs(phi_eta[1]))
+U = np.sqrt(np.abs(phi_u[1]))
+G = H / U
+th_eta_u = np.angle(phi_eta_u[1])
+
+# R1 = np.sqrt(
+#    (np.abs(phi_eta[1]) + np.abs(phi_u[1]) - 2 * np.abs(phi_eta_u[1]))
+#    / (np.abs(phi_eta[1]) + np.abs(phi_u[1]) + 2 * np.abs(phi_eta_u[1]))
+# )
 R = np.sqrt(
-    (phi_eta[1] + phi_u[1] - 2 * phi_eta_u[1])
-    / (phi_eta[1] + phi_u[1] + 2 * phi_eta_u[1])
+    (1 + G**2 - 2 * G * np.cos(th_eta_u))
+    / (1 + G**2 + 2 * G * np.cos(th_eta_u))
 )
 
+if config.has_option("post", "compare"):
+    data_comp = np.load(inp.joinpath(config.get("post", "compare")))
+    x_, t_ = data_comp["x"], data_comp["t"]
+    arg_x0_ = np.abs(x_ - x0).argmin()
+    arg_t0_ = np.abs(t_ - t0).argmin()
+
+    eta_ = data_comp["watl"][t_ > t0, arg_x0_]
+    u_ = data_comp["vel"][t_ > t0, 0, arg_x0_]
+
+    phi_eta_ = sgl.welch(eta_, f, nperseg=nperseg)
+    phi_u_ = sgl.welch(u_, f, nperseg=nperseg)
+    phi_eta_u_ = sgl.csd(eta_, u_, f, nperseg=nperseg)
+
+    H_ = np.sqrt(np.abs(phi_eta_[1]))
+    U_ = np.sqrt(np.abs(phi_u_[1]))
+    G_ = H_ / U_
+    th_eta_u_ = np.angle(phi_eta_u_[1])
+
+    R_ = np.sqrt(
+        (1 + G_**2 - 2 * G_ * np.cos(th_eta_u_))
+        / (1 + G_**2 + 2 * G_ * np.cos(th_eta_u_))
+    )
+
+
 # Plotting
 log.info("Plotting results")
 fig, (ax_watl, ax_vel) = plt.subplots(2)
@@ -73,13 +105,21 @@ fig_r, ax_r = plt.subplots()
 ax_fft = ax_r.twinx()
 
 ax_fft.plot(
-    *sgl.welch(eta, 1/dt, nperseg=nperseg),
+    *sgl.welch(eta, 1 / dt, nperseg=nperseg),
     lw=1,
     c="k",
     alpha=0.2,
-    label="PSD ($\\eta$)",
+    label="PSD ($\\eta$, cas 1)",
 )
-ax_r.plot(phi_eta[0], R, marker="+", label="R")
+ax_fft.plot(
+    *sgl.welch(eta_, 1 / dt, nperseg=nperseg),
+    lw=1,
+    c="k",
+    alpha=0.2,
+    label="PSD ($\\eta$, cas 2)",
+)
+ax_r.plot(phi_eta[0], R, marker="+", label="R (cas 1)")
+ax_r.plot(phi_eta[0], R_, marker="+", label="R (cas 2)")
 ax_r.set(xlim=(0, 0.3), ylim=(0, 1), xlabel="f (Hz)", ylabel="R")
 ax_fft.set(ylim=0, ylabel="PSD (m²/Hz)")
 ax_r.grid()
@@ -89,11 +129,16 @@ fig_r.tight_layout()
 
 fig_x, ax_x = plt.subplots(figsize=(10, 1))
 ax_x.plot(data["x"], -data["botl"], color="k")
-ax_x.fill_between(
+ax_x.plot(data["x"], -data_comp["botl"], color="k", ls="-.")
+ax_x.plot(
     data["x"],
-    -data["botl"],
     np.maximum(data["watl"][arg_t0, :], -data["botl"]),
 )
+ax_x.plot(
+    data["x"],
+    np.maximum(data_comp["watl"][arg_t0, :], -data_comp["botl"]),
+    ls="-."
+)
 ax_x.axvline(x0, c="k", alpha=0.2)
 ax_x.set(xlabel="x (m)", ylabel="z (m)")
 ax_x.autoscale(axis="x", tight=True)
@@ -107,5 +152,6 @@ out.mkdir(parents=True, exist_ok=True)
 fig.savefig(out.joinpath("t.png"))
 fig_r.savefig(out.joinpath("R.png"))
 fig_x.savefig(out.joinpath("x.png"))
+plt.show(block=True)
 
 log.info("Finished post-processing")