def make_eta_plot(etas):
number_of_periods = 10
test_width = 1 * bohr_radius
test_charge = 1 * electron_charge
test_mass = 1 * electron_mass
# potential_depth = 36.831335 * eV
prefactor = ide.gaussian_prefactor_LEN(test_width, test_charge)
tau_alpha = ide.gaussian_tau_alpha_LEN(test_width, test_mass)
kernel = functools.partial(ide.gaussian_kernel_LEN, tau_alpha=tau_alpha)
omega_alpha = 1 / (2 * tau_alpha)
periods = np.linspace(0, 3, 500) * tau_alpha
periods = periods[1:]
def curve(periods, eta):
results = []
for period in periods:
kicks = make_sine_wave_kicks(number_of_periods, period, eta)
results.append(
dpm.recursive_kicks(
kicks,
abs_prefactor=np.abs(prefactor),
kernel_func=kernel,
bound_state_frequency=omega_alpha,
)[-1])
return np.abs(results)**2
si.vis.xy_plot(
f"bound_state_amplitude_vs_sine_period__eta__{etas}",
periods,
*[curve(periods, eta) for eta in etas],
line_labels=[
fr"$\eta = {eta / time_field_unit:3f}$ a.u." for eta in etas
],
x_label=r"Sine Wave Period $T$ ($ \tau_{\alpha} $)",
x_unit=tau_alpha,
y_label=r"$\left|\left\langle a | a \right\rangle\right|^2$",
# vlines = [tau_alpha / 2, tau_alpha], vline_kwargs = [{'linestyle': ':', 'color': 'black'}, {'linestyle': ':', 'color': 'black'}],
y_log_axis=True,
y_log_pad=1,
legend_kwargs={"loc": "upper right"},
# y_lower_limit = 1e-9, y_upper_limit = 1,
**PLOT_KWARGS,
)
return sim
if __name__ == "__main__":
with logman as logger:
td = np.linspace(0, 1000 * asec, 1000)
test_mass = 1 * electron_mass_reduced
test_charge = 1 * electron_charge
test_width = 1 * bohr_radius
hyd_kern_prefactor = 128 * (bohr_radius**7) / (3 * (pi**2))
gau_kern_prefactor = np.sqrt(pi) * (test_width**2)
kernel_gaussian = gau_kern_prefactor * ide.gaussian_kernel_LEN(
td, tau_alpha=ide.gaussian_tau_alpha_LEN(test_width, test_mass))
kernel_hydrogen = ide.hydrogen_kernel_LEN(
td, kernel_prefactor=ide.hydrogen_kernel_prefactor_LEN())
si.vis.xy_plot(
"kernel_comparison",
td,
np.abs(kernel_gaussian),
np.real(kernel_gaussian),
np.imag(kernel_gaussian),
np.abs(kernel_hydrogen),
np.real(kernel_hydrogen),
np.imag(kernel_hydrogen),
line_labels=[
r"Abs Gaussian",
r"Re Gaussian",
ElectricPotentialPlotAxis(show_vector_potential=False),
axman_lower_right=animation.animators.
WavefunctionStackplotAxis(
states=[variational_ground_state]),
fig_dpi_scale=1,
target_dir=OUT_DIR,
)
],
**shared_kwargs,
)
len_spec = ide.IntegroDifferentialEquationSpecification(
"ide_len",
evolution_gauge="LEN",
kernel=ide.gaussian_kernel_LEN,
kernel_kwargs={
"tau_alpha": ide.gaussian_tau_alpha_LEN(test_width, test_mass)
},
integral_prefactor=ide.gaussian_prefactor_LEN(
test_width, test_charge),
**shared_kwargs,
**ide_shared_kwargs,
)
vel_spec = ide.IntegroDifferentialEquationSpecification(
"ide_vel",
evolution_gauge="VEL",
kernel=ide.gaussian_kernel_VEL,
kernel_kwargs={
"tau_alpha": ide.gaussian_tau_alpha_VEL(test_width, test_mass),
"width": test_width,
},
integral_prefactor=ide.gaussian_prefactor_VEL(
def make_eta_movie():
length = 30
etas = np.linspace(0.1, 1, 30 * length) * time_field_unit
number_of_periods = 10
test_width = 1 * bohr_radius
test_charge = 1 * electron_charge
test_mass = 1 * electron_mass
# potential_depth = 36.831335 * eV
prefactor = ide.gaussian_prefactor_LEN(test_width, test_charge)
tau_alpha = ide.gaussian_tau_alpha_LEN(test_width, test_mass)
kernel = functools.partial(ide.gaussian_kernel_LEN, tau_alpha=tau_alpha)
omega_alpha = 1 / (2 * tau_alpha)
periods = np.linspace(0, 10, 500) * tau_alpha
periods = periods[1:]
def curve(periods, eta):
results = []
for period in periods:
kicks = make_sine_wave_kicks(number_of_periods, period, eta)
results.append(
dpm.recursive_kicks(
kicks,
abs_prefactor=np.abs(prefactor),
kernel_func=kernel,
bound_state_frequency=omega_alpha,
)[-1])
return np.abs(results)**2
si.vis.xyt_plot(
f"bound_state_amplitude_vs_sine_period__eta_scan",
periods,
etas,
curve,
x_label=r"Sine Wave Period $T$ ($ \tau_{\alpha} $)",
x_unit=tau_alpha,
y_label="Bound State Amplitude",
t_fmt_string=r"$\eta = {} \; \mathrm{{a.u.}}$",
t_unit=dpm.time_field_unit,
vlines=[tau_alpha / 2, tau_alpha],
vline_kwargs=[
{
"linestyle": ":",
"color": "black"
},
{
"linestyle": ":",
"color": "black"
},
],
y_log_axis=True,
y_log_pad=1,
y_lower_limit=1e-9,
y_upper_limit=1,
length=length,
**PLOT_KWARGS,
)
def HCC_kernel_SINE(td, efield_0, omega):
H_kernel = ide.hydrogen_kernel_LEN(td)
pre = (electron_charge**2) / (2 * electron_mass * hbar)
first = ((efield_0 / omega)**2) * td
second = -((efield_0**2) / (omega**3)) * np.sin(omega * td)
extra = np.exp(-1j * pre * (first + second))
return H_kernel * extra
if __name__ == "__main__":
with LOGMAN as logger:
omega_b = ion.HydrogenBoundState(1, 0).energy / hbar
tau_alpha = ide.gaussian_tau_alpha_LEN(bohr_radius, electron_mass)
# print(tau_alpha / asec)
# print(tau_alpha / atomic_time)
G_kernel = functools.partial(
ide.gaussian_kernel_LEN,
tau_alpha=ide.gaussian_tau_alpha_LEN(bohr_radius, electron_mass),
)
#
# k_integral = si.math.complex_quad(kernel, 0, np.inf)[0]
# # k_integral = si.math.complex_quadrature(kernel, 0, 1000 * fsec)[0]
# print(k_integral)
# print(k_integral / tau_alpha)
#
# print(kernel(0))
# print(kernel(1000 * fsec))
#
return np.abs(2 * times[np.argmax(np.abs(field))])
if __name__ == "__main__":
with logman as logger:
p = ion.potentials.SincPulse(pulse_width=200 * asec, phase=pi / 2)
times = np.linspace(-100 * asec, 100 * asec, 1000)
si.vis.xy_plot(
"test",
times,
p.get_electric_field_amplitude(times),
x_unit="asec",
**PLOT_KWARGS,
)
tau_alpha = ide.gaussian_tau_alpha_LEN(test_width=1 * bohr_radius,
test_mass=electron_mass)
dt = np.linspace(0, 3 * tau_alpha, 1000)
k = ide.gaussian_kernel_LEN(time_difference=dt, tau_alpha=tau_alpha)
si.vis.xy_plot(
"kernel",
dt,
np.abs(k),
np.real(k),
np.imag(k),
x_unit="asec",
**PLOT_KWARGS,
)
imag_min_t = dt[np.argmin(np.imag(k))]
print(tau_alpha / asec)
print(imag_min_t / asec)
def compare_cosine_and_sine(cosine_product, sine_product):
test_width = bohr_radius
test_mass = electron_mass
test_charge = electron_charge
# efield_tau_product = 1200 * atomic_electric_field * atomic_time
# efield = .11 * atomic_electric_field
# stronger_efield = 1.25 * efield
# cosine_product = 1 * atomic_electric_field * 10 * asec
# sine_product = 1.25 * atomic_electric_field * 10 * asec
# classical_orbit_time = twopi * bohr_radius / (alpha * c)
# print('orbit time', classical_orbit_time / asec:3f)
tau_alpha = ide.gaussian_tau_alpha_LEN(test_width, test_mass)
kernel = functools.partial(ide.gaussian_kernel_LEN, tau_alpha=tau_alpha)
b_sine = np.sqrt(pi) * ((test_width * test_charge * sine_product / hbar) ** 2)
b_cosine = np.sqrt(pi) * ((test_width * test_charge * cosine_product / hbar) ** 2)
# print(b_sine, b_cosine)
pulse_delays = np.linspace(0, 500 * asec, 1e3)
double_kick = functools.partial(
a_alpha, b=b_sine, tau_alpha=tau_alpha, kernel_func=kernel
)
ex = np.exp(-1j * pulse_delays / tau_alpha)
kern = kernel(2 * pulse_delays)
si.vis.xy_plot(
"inteference",
pulse_delays,
np.real(ex),
np.imag(ex),
np.real(kern),
np.imag(kern),
2 * np.real(ex + kern),
line_labels=[
r"exp real",
r"exp imag",
r"ker real",
r"ker imag",
r"2 * real(exp + ker)",
],
line_kwargs=[
{"color": "C0", "linestyle": "-"},
{"color": "C0", "linestyle": "--"},
{"color": "C1", "linestyle": "-"},
{"color": "C1", "linestyle": "--"},
{"color": "C2", "linestyle": "-"},
],
legend_on_right=True,
x_label="Half Pulse Delay",
x_unit="asec",
**PLOT_KWARGS,
)
si.vis.xy_plot(
f"double_kick__cos={cosine_product / time_field_unit:3f}__sin={sine_product / time_field_unit:3f}",
2 * pulse_delays,
double_kick(pulse_delays),
np.ones_like(pulse_delays) * t1(b_sine),
t2(pulse_delays, b_sine, kernel),
t3(pulse_delays, b_sine, kernel, tau_alpha),
np.ones_like(pulse_delays) * ((1 - b_cosine) ** 2),
line_labels=[
r"Double Kick",
r"Isolated Pulses",
r"First pulse seen from second",
r"Interference",
r"Single Strong Kick",
],
legend_on_right=True,
x_label="Pulse Delay",
x_unit="asec",
vlines=[tau_alpha],
vline_kwargs=[{"linestyle": ":"}],
# x_extra_ticks = [tau_alpha, classical_orbit_time],
# x_extra_tick_labels = [r'$ \tau_{\alpha} $', r'$ \tau_{\mathrm{orb}} $'],
**PLOT_KWARGS,
)
