Post-process output images
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2 changed files with 27 additions and 11 deletions
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@ -13,4 +13,7 @@ out=out_data
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[swash]
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input=sws/INPUT.sws
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swashrun=/opt/swash/swash/swashrun
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out=out_swash
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out=out
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[post]
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out=out_post
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@ -25,32 +25,45 @@ vel = read_nohead_vect(root.joinpath("vel.dat"), n)
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n_t = botl.shape[0]
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# Cospectral calculations
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pos_x = n//10
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pos_x = n // 10
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f = 1 / 0.25
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eta = (dep - botl)[n_t//2:, pos_x]
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u = vel[n_t//2:, 0, pos_x]
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eta = (dep - botl)[n_t // 2 :, pos_x]
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u = vel[n_t // 2 :, 0, pos_x]
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phi_eta = np.abs(sgl.csd(eta, eta)[1])
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phi_u = np.abs(sgl.csd(u, u)[1])
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phi_eta_u = np.abs(sgl.csd(eta, u)[1])
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phi_eta = np.abs(sgl.csd(eta, eta, f))
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phi_u = np.abs(sgl.csd(u, u, f))
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phi_eta_u = np.abs(sgl.csd(eta, u, f))
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R = np.sqrt((phi_eta + phi_u - 2*phi_eta_u)/(phi_eta + phi_u + 2*phi_eta_u))
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R = np.sqrt(
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(phi_eta[1] + phi_u[1] - 2 * phi_eta_u[1])
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/ (phi_eta[1] + phi_u[1] + 2 * phi_eta_u[1])
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)
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# Plotting
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fig, (ax_dep, ax_vel) = plt.subplots(2)
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ax_dep.plot((dep - botl)[:, pos_x], label="dep", color="#0066ff")
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ax_dep.set(xlabel="t (s)", ylabel="z (m)")
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ax_dep.autoscale(axis="x", tight=True)
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ax_dep.grid()
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ax_vel.plot(vel[:, 0, pos_x], label="vel")
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ax_vel.set(xlabel="t (s)", ylabel="U (m/s)")
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ax_vel.autoscale(axis="x", tight=True)
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ax_vel.grid()
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fig.tight_layout()
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fig_r, ax_r = plt.subplots()
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ax_r.plot(R)
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ax_r.set(ylim=(0,1))
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ax_r.plot(phi_eta[0], R)
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ax_r.autoscale(axis="x", tight=True)
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ax_r.set(ylim=(0, 1), xlabel="f (Hz)", ylabel="R")
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ax_r.grid()
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plt.show(block=True)
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out = pathlib.Path(config.get("post", "out"))
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out.mkdir(exist_ok=True)
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fig.savefig(out.joinpath(f"{pos_x}.png"))
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fig_r.savefig(out.joinpath(f"R{pos_x}.png"))
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