"""Plot a stipulated independent two-state moment model; save PNG to CWD. Tested with Python 3.14, matplotlib 3.10.7, numpy 2.3.5. Run from _media with MPLBACKEND=Agg and a writable MPLCONFIGDIR. """ from pathlib import Path import matplotlib.pyplot as plt import numpy as np NUMBER_DENSITY = 1e26 # m^-3 MOMENT = 9.2740101e-24 # J/T, stipulated BOLTZMANN = 1.380649e-23 # J/K VACUUM_PERMEABILITY = 1.25663706e-6 # T m/A, rounded stipulated input TEMPERATURE = 2.0 # K def main(): saturation = NUMBER_DENSITY * MOMENT field_scale = BOLTZMANN * TEMPERATURE / MOMENT / VACUUM_PERMEABILITY slope = saturation / field_scale linear_limit = 0.3 * field_scale plt.rcParams.update({"font.size": 11, "axes.spines.top": False, "axes.spines.right": False, "figure.facecolor": "white", "axes.facecolor": "white"}) fig, axes = plt.subplots(1, 2, figsize=(10, 4.5)) for ax, half_range, zoom in zip(axes, (1.0e7, 1.0e6), (False, True)): h = np.linspace(-half_range, half_range, 1201) ax.plot(h / 1e6, saturation * np.tanh(h / field_scale), color="#1464a0", lw=2.5, label="Two-state model") ax.plot(h / 1e6, slope * h, color="#cf6b17", ls="--", lw=1.8, label="Zero-field tangent") ax.axvspan(-linear_limit / 1e6, linear_limit / 1e6, color="#1b9e77", alpha=0.14, label="Linear error < 3%") ax.axhline(0, color="0.6", lw=0.7) ax.axvline(0, color="0.6", lw=0.7) ax.set_xlabel(r"Applied $H$ (MA/m)") ax.set_ylabel(r"Magnetization $M$ (A/m)") ax.grid(alpha=0.18) if zoom: ax.set_title("Small-field enlargement") ax.set_ylim(-400, 400) ax.legend(loc="upper left", fontsize=9) else: ax.set_title("Alignment approaches saturation") ax.set_ylim(-1150, 1150) for sign in (-1, 1): ax.axhline(sign * saturation, color="0.45", ls=":", lw=1) ax.text(4, 990, r"$M_s = 927.4$ A/m", fontsize=10) fig.suptitle("Independent moments at T = 2 K", fontsize=15) fig.subplots_adjust(left=0.085, right=0.985, bottom=0.22, top=0.80, wspace=0.28) fig.text(0.5, 0.035, r"Stipulated $n=10^{26}$ m$^{-3}$; prescribed $B_0=\mu_0 H$. Calculated curves, not measurements.", ha="center", fontsize=10) fig.savefig(Path(__file__).stem + ".png", dpi=130, facecolor="white") plt.close(fig) if __name__ == "__main__": main()