Some more cleanups, especially tests

examples/Optica_PM2000D/Optica_PM2000D.toml

@@ -0,0 +1,18 @@
+name = "PM2000D"
+mean_power = 0.23
+field_file = "Pos30000New.npz"
+repetition_rate = 40e6
+wavelength = 1546e-9
+dt = 1e-15
+t_num = 8192
+tolerated_error = 1e-6
+quantum_noise = true
+raman_type = "agrawal"
+z_num = 128
+length = 0.3
+dispersion_file = "PM2000D_2 extrapolated 4 0.npz"
+interpolation_degree = 12
+A_eff_file = "PM2000D_A_eff_marcuse.npz"
+n2 = 4.5e-20
+
+

examples/Optica_PM2000D/test_Optica_PM2000D.py

@@ -0,0 +1,70 @@
+"""
+May 2023
+
+Testing the new solver / operators structure
+using parameters from the 2022 Optica paper
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy.interpolate import interp1d
+
+import scgenerator as sc
+import scgenerator.math as math
+import scgenerator.physics.units as units
+import scgenerator.plotting as plot
+import scgenerator.solver as sol
+
+
+def main():
+    params = sc.Parameters(**sc.open_single_config("./tests/Optica_PM2000D/Optica_PM2000D.toml"))
+    # print(params.nonlinear_operator)
+    # print(params.compute("dispersion_op"))
+    # print(params.linear_operator)
+    # print(params.spec_0)
+    # print(params.compute("gamma_op"))
+    #
+    # plt.plot(params.w, params.linear_operator(0).imag)
+    # plt.show()
+
+    breakpoint()
+
+    res = sol.integrate(
+        params.spec_0, params.length, params.linear_operator, params.nonlinear_operator
+    )
+
+    new_z = np.linspace(0, params.length, 256)
+
+    specs2 = math.abs2(res.spectra)
+    specs2 = units.to_WL(specs2, params.l)
+    x = params.l
+    # x = units.THz.inv(w)
+    # new_x = np.linspace(100, 2200, 1024)
+    new_x = np.linspace(800e-9, 2000e-9, 1024)
+    solution = interp1d(res.z, specs2, axis=0)(new_z)
+    solution = interp1d(x, solution)(new_x)
+    solution = units.to_log2D(solution)
+
+    plt.imshow(
+        solution,
+        origin="lower",
+        aspect="auto",
+        extent=plot.get_extent(1e9 * new_x, new_z * 1e2),
+        vmin=-30,
+    )
+    plt.show()
+
+    fields = np.fft.irfft(res.spectra)
+    solution = math.abs2(fields)
+    solution = interp1d(res.z, solution, axis=0)(new_z)
+    solution.T[:] /= solution.max(axis=1)
+    plt.imshow(
+        solution,
+        origin="lower",
+        aspect="auto",
+        extent=plot.get_extent(params.t * 1e15, new_z * 1e2),
+    )
+    plt.show()
+
+
+if __name__ == "__main__":
+    main()