add 4 pulse ste
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@ -5,13 +5,10 @@ delta=126e3
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eta=0.0
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# Distribution part
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tau=1e-3
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angle1=2
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angle2=30
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probability1=0
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# Spectrum part
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dwell_time=1e-8
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num_acq=4096
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techo_start=0e-6
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techo_start=1e-6
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techo_stop=40e-6
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techo_steps=5
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# STE part
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@ -20,4 +17,5 @@ tevo_stop=120e-6
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tevo_steps=121
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tmix_start=1e-5
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tmix_stop=1e1
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tmix_steps=61
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tmix_steps=31
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tpulse4=10e-6
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24
main.py
24
main.py
@ -8,7 +8,7 @@ motion = 'IsotropicAngle'
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distribution = 'Delta'
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# parameter = {}
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parameter = {
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"angle": [10, 109.47],
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"angle": [10],
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}
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parameter = prepare_rw_parameter(parameter)
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@ -33,13 +33,13 @@ 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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# 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_and_save_ste(conf_file, 'coscos', plot_decays=False, verbose=False)
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_, tau_ss, beta_ss, finfty_ss = fit_and_save_ste(conf_file, 'sinsin', plot_decays=False, verbose=False)
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_, tau_2, beta_2, finfty_2 = fit_and_save_ste(conf_file, 'f2', plot_decays=True, verbose=True)
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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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@ -50,6 +50,20 @@ for variation in parameter:
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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()
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@ -5,6 +5,7 @@ import re
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import subprocess
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from itertools import product
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def prepare_rw_parameter(parameter: dict) -> list:
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"""
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Converts a dictionary of iterables to list of dictionaries
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@ -59,7 +59,7 @@ def fit_decay(x: np.ndarray, y: np.ndarray, tevo: np.ndarray, verbose: bool = Tr
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return tau_fit, beta_fit, finfty_fit
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def fit_and_save_ste(
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def fit_ste(
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parameter_file: pathlib.Path,
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prefix: str,
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plot_decays: bool = True,
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@ -89,9 +89,4 @@ def fit_and_save_ste(
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print(f'Fit {prefix}')
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tau, beta, finfty = fit_decay(t_mix, decay, tevo, verbose=verbose)
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np.savetxt(f'tau_{prefix}_{varied_string}.dat', tau)
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np.savetxt(f'beta_{prefix}_{varied_string}.dat', beta)
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np.savetxt(f'finfty_{prefix}_{varied_string}.dat', finfty)
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return varied_string, tau, beta, finfty
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@ -87,9 +87,10 @@ void run_ste(
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) {
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const int num_walker = static_cast<int>(parameter[std::string("num_walker")]);
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const int num_mix_times = static_cast<int>(parameter[std::string("tmix_steps")]);
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const int num_mix_times = static_cast<int>(parameter["tmix_steps"]);
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const std::vector<double> evolution_times = linspace(parameter["tevo_start"], parameter["tevo_stop"], static_cast<int>(parameter["tevo_steps"]));
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const std::vector<double> mixing_times = logspace(parameter["tmix_start"], parameter["tmix_stop"], num_mix_times);
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const double tpulse4= parameter["tpulse4"];
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// make ste decay vectors and set them to zero
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std::map<double, std::vector<double>> cc_dict;
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@ -103,7 +104,7 @@ void run_ste(
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std::vector<double> f2(num_mix_times);
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// each trajectory must have a duration of at least tmax
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const double tmax = *std::max_element(evolution_times.begin(), evolution_times.end()) * 2 + *std::max_element(mixing_times.begin(), mixing_times.end());
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const double tmax = *std::max_element(evolution_times.begin(), evolution_times.end()) * 2 + *std::max_element(mixing_times.begin(), mixing_times.end()) + 2*tpulse4;
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// set parameter in distribution and motion model
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dist.setParameters(parameter);
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@ -127,6 +128,7 @@ void run_ste(
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f2[f2_idx] += traj_omega[f2_pos] * motion.getInitOmega() / num_walker;
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}
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for (auto& [t_evo_j, _] : cc_dict) {
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auto& cc_j = cc_dict[t_evo_j];
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auto& ss_j = ss_dict[t_evo_j];
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@ -138,16 +140,20 @@ void run_ste(
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const double ss_tevo = std::sin(dephased);
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for (int mix_idx = 0; mix_idx < num_mix_times; mix_idx++) {
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// get phase at end of mixing time
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const double time_end_mix = mixing_times[mix_idx] + t_evo_j;
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current_pos = nearest_index(traj_time, time_end_mix, current_pos);
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const double phase_mix_end = lerp(traj_time, traj_phase, time_end_mix, current_pos);
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// get phase at position of 4th pulse
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const double time_pulse4 = time_end_mix + tpulse4;
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current_pos = nearest_index(traj_time, time_pulse4, current_pos);
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const double phase_4pulse = lerp(traj_time, traj_phase, time_pulse4, current_pos);
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// get phase at echo position
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const double time_echo = mixing_times[mix_idx] + 2 * t_evo_j;
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const double time_echo = time_pulse4 + tpulse4 + t_evo_j;
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current_pos = nearest_index(traj_time, time_echo, current_pos);
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const double rephased = lerp(traj_time, traj_phase, time_echo, current_pos) - phase_mix_end;
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double rephased = lerp(traj_time, traj_phase, time_echo, current_pos) + phase_mix_end - 2*phase_4pulse;
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cc_j[mix_idx] += cc_tevo * std::cos(rephased) / num_walker;
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ss_j[mix_idx] += ss_tevo * std::sin(rephased) / num_walker;
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