#!/usr/bin/env python """ Test: Initial Conditions With a Given Energy Sample random particles with the same given energy in a valid coordinates range. @ Author: Moussouni, Yaël (MSc student) & Bhat, Junaid Ramzan (MSc student) @ Institution: Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, F-67000 Strasbourg, France @ Date: 2025-01-01 Licence: Order and Chaos in a 2D potential Copyright (C) 2025 Yaël Moussouni (yael.moussouni@etu.unistra.fr) Bhat, Junaid Ramzan (junaid-ramzan.bhat@etu.unistra.fr) test_initial_E.py Copyright (C) 2025 Yaël Moussouni (yael.moussouni@etu.unistra.fr) Bhat, Junaid Ramzan (junaid-ramzan.bhat@etu.unistra.fr) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/. """ import numpy as np import matplotlib.pyplot as plt import potentials as pot import energies as ene import integrator as itg import initial_conditions as init import poincare_sections as pcs if "YII_1" in plt.style.available: plt.style.use("YII_1") # Loading matplotlib style... # parameters N_grid = 1000 N_inter = 30000 N_part = 100 E = 1/12 h = 0.01 if __name__ == "__main__": # Initial conditions W_grid = init.mesh_grid(N_grid, xmin=-1, xmax=1, ymin=-1, ymax=1) X_grid = W_grid[0] Y_grid = W_grid[1] potential = pot.hh_potential(W_grid, position_only=True) pot_valid = np.ma.masked_where(potential > E, potential) W_all_part = init.n_energy_part(pot.hh_potential, N_part, E) # Plot fig, ax = plt.subplots(1) pcm = ax.pcolormesh(X_grid, Y_grid, pot_valid, vmin = 0) sct = ax.scatter(W_all_part[0, 0], W_all_part[0, 1], s=1, color="C3") fig.colorbar(pcm, label="potential") ax.set_title("$E = {:.2f}$".format(E)) ax.set_xlabel("$x$") ax.set_ylabel("$y$") ax.set_aspect("equal") fig.savefig("Figs/initial_E.png") plt.show(block=True)