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Commit 94f22ab8 authored by Elijah Andrews's avatar Elijah Andrews
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Added anisotropy plot.

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......@@ -152,4 +152,31 @@ plt.tight_layout()
# plt.ylabel("$\Delta$ = displacement (mm)")
# plt.tight_layout()
plt.figure()
filt_zetas, filt_disps, filt_radii = \
zip(*[(z, d, r) for z, d, r, p in zip(zetas, displacements, radii, ps) if np.abs(p) > 4])
fit_params = np.polyfit(np.log(filt_zetas), np.log(np.divide(filt_disps, filt_radii)), 1)
fit_zetas = np.linspace(min(filt_zetas), max(filt_zetas), 100)
fit_disps = np.exp(fit_params[1]) * np.power(fit_zetas, fit_params[0])
fit_label = "$%.3f \\zeta^{%.3f}$ (fitted)" % (np.exp(fit_params[1]), fit_params[0])
print(len(filt_zetas))
plt.plot(fit_zetas, fit_disps, label=fit_label, color="C1")
plt.scatter(filt_zetas, np.divide(filt_disps, filt_radii), c='k',
marker=".", cmap=plt.cm.get_cmap('brg'))
plt.xlabel("$\\zeta$ (Supponen et al. 2016)")
plt.ylabel("$\Delta / R$ = displacement / radius")
plt.xscale('log')
plt.yscale('log')
plt.legend(frameon=False)
plt.tight_layout()
plt.figure()
plt.scatter(standoffs, np.divide(displacements, radii), c=np.abs(ps), marker=".", cmap=plt.cm.get_cmap('brg'))
plt.xscale('log')
plt.yscale('log')
plt.colorbar(label="$|x|$")
plt.xlabel("$y / R$")
plt.ylabel("$\Delta / R$ = displacement / radius")
plt.show()
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