69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
import matplotlib.pyplot as plt
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from python.ste import *
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from python.helpers import *
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# Simulation parameter
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motion = 'IsotropicAngle'
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distribution = 'Delta'
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# parameter = {}
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parameter = {
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"angle": [10],
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}
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parameter = prepare_rw_parameter(parameter)
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fig_tau_cc, ax_tau_cc = plt.subplots()
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ax_tau_cc.set_title('tau_cc')
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fig_beta_cc, ax_beta_cc = plt.subplots()
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ax_beta_cc.set_title('beta_cc')
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fig_finfty_cc, ax_finfty_cc = plt.subplots()
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ax_finfty_cc.set_title('f_infty_cc')
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fig_tau_ss, ax_tau_ss = plt.subplots()
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ax_tau_ss.set_title('tau_ss')
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fig_beta_ss, ax_beta_ss = plt.subplots()
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ax_beta_ss.set_title('beta_ss')
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fig_finfty_ss, ax_finfty_ss = plt.subplots()
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ax_finfty_ss.set_title('f_infty_ss')
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for variation in parameter:
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print(f"\nRun RW for {motion}/{distribution} with arguments {variation}\n")
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# run_sims(motion, distribution, ste=True, spectrum=False, **variation)
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conf_file = find_config_file(motion, distribution, variation)
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vary_string, tau_cc, beta_cc, finfty_cc = fit_ste(conf_file, f'coscos', plot_decays=False, verbose=False)
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_, tau_ss, beta_ss, finfty_ss = fit_ste(conf_file, f'sinsin', plot_decays=False, verbose=False)
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_, tau_2, beta_2, finfty_2 = fit_ste(conf_file, f'f2', plot_decays=True, verbose=True)
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ax_tau_cc.semilogy(tau_cc[:, 0], tau_cc[:, 1], label=vary_string)
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ax_tau_cc.axhline(tau_2[:, 1], color='k', linestyle='--')
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ax_beta_cc.plot(*beta_cc.T, label=vary_string)
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ax_finfty_cc.plot(*finfty_cc.T, label=vary_string)
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ax_tau_ss.semilogy(tau_ss[:, 0], tau_ss[:, 1], label=vary_string)
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ax_tau_ss.axhline(tau_2[:, 1], color='k', linestyle='--')
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ax_beta_ss.plot(*beta_ss.T, label=vary_string)
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ax_finfty_ss.plot(*finfty_ss.T, label=vary_string)
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np.savetxt(
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f'ste_fit_{vary_string}.dat',
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np.c_[
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tau_cc, beta_cc[:, 1], finfty_cc[:, 1],
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tau_ss[:, 1], beta_ss[:, 1], finfty_ss[:, 1],
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],
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header=f'Fit STE {vary_string}\n'
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f'F2: tau={tau_2[0, 1]} beta={beta_2[0, 1]} finfty={finfty_2[0, 1]}\n'
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f'tevo\ttaucc\tbetacc\tfinftycc\ttauss\tbetass\tfinftyss',
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)
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for ax in [ax_tau_cc, ax_beta_cc, ax_finfty_cc, ax_tau_ss, ax_beta_ss, ax_finfty_ss]:
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ax.legend()
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plt.show() |