def main(number_of_grid_cells=15, min_convergence=20):
inner_radius = 30.0e17 | units.cm
outer_radius = 95.0e17 | units.cm
hydrogen_density = 100 | units.cm**-3
star = Particle()
star.position = [0.0, 0.0, 0.0] | units.AU
star.temperature = 20000 | units.K
star.luminosity = 600.5 | 1e37 * units.erg * (units.s**-1)
grid = make_grid(number_of_grid_cells=number_of_grid_cells,
length=outer_radius,
constant_hydrogen_density=hydrogen_density,
inner_radius=inner_radius,
outer_radius=outer_radius)
radiative_transfer = Mocassin(number_of_workers=2) # , debugger = "xterm")
radiative_transfer.set_input_directory(
radiative_transfer.get_default_input_directory())
radiative_transfer.set_mocassin_output_directory(
radiative_transfer.output_directory + os.sep)
radiative_transfer.initialize_code()
radiative_transfer.set_symmetricXYZ(True)
radiative_transfer.parameters.length_x = outer_radius
radiative_transfer.parameters.length_y = outer_radius
radiative_transfer.parameters.length_z = outer_radius
radiative_transfer.parameters.mesh_size = [
number_of_grid_cells, number_of_grid_cells, number_of_grid_cells
]
setup_abundancies(radiative_transfer)
radiative_transfer.parameters.initial_nebular_temperature = 6000.0 | units.K
radiative_transfer.parameters.high_limit_of_the_frequency_mesh = 15 | mocassin_rydberg_unit
radiative_transfer.parameters.low_limit_of_the_frequency_mesh = 1.001e-5 | mocassin_rydberg_unit
radiative_transfer.parameters.total_number_of_photons = 10000000
radiative_transfer.parameters.total_number_of_points_in_frequency_mesh = 600
radiative_transfer.parameters.convergence_limit = 0.09
radiative_transfer.parameters.number_of_ionisation_stages = 6
radiative_transfer.commit_parameters()
radiative_transfer.grid.hydrogen_density = grid.hydrogen_density
radiative_transfer.commit_grid()
radiative_transfer.particles.add_particle(star)
radiative_transfer.commit_particles()
max_number_of_photons = radiative_transfer.parameters.total_number_of_photons * 100
previous_percentage_converged = 0.0
for i in range(20):
radiative_transfer.step()
percentage_converged = radiative_transfer.get_percentage_converged()
print("percentage converged :", percentage_converged, ", step :", i,
", photons:",
radiative_transfer.parameters.total_number_of_photons)
if percentage_converged >= min_convergence:
break
if previous_percentage_converged > 5 and percentage_converged < 95:
convergence_increase = (
percentage_converged -
previous_percentage_converged) / previous_percentage_converged
if (convergence_increase < 0.2
and radiative_transfer.parameters.total_number_of_photons <
max_number_of_photons):
radiative_transfer.parameters.total_number_of_photons *= 2
previous_percentage_converged = percentage_converged
grid.electron_temperature = radiative_transfer.grid.electron_temperature
radius = grid.radius.flatten()
electron_temperature = grid.electron_temperature.flatten()
selection = electron_temperature > 0 | units.K
plot_temperature_line(radius[selection], electron_temperature[selection])
write_set_to_file(grid, 'h2region.h5', 'amuse')
def main(number_of_grid_cells=15, min_convergence=20):
inner_radius = 30.0e17 | units.cm
outer_radius = 95.0e17 | units.cm
hydrogen_density = 100 | units.cm ** -3
star = Particle()
star.position = [0.0, 0.0, 0.0] | units.AU
star.temperature = 20000 | units.K
star.luminosity = 600.5 | 1e37 * units.erg * (units.s**-1)
grid = make_grid(
number_of_grid_cells=number_of_grid_cells,
length=outer_radius,
constant_hydrogen_density=hydrogen_density,
inner_radius=inner_radius,
outer_radius=outer_radius
)
radiative_transfer = Mocassin(number_of_workers=2) # , debugger = "xterm")
radiative_transfer.set_input_directory(
radiative_transfer.get_default_input_directory())
radiative_transfer.set_mocassin_output_directory(
radiative_transfer.output_directory + os.sep)
radiative_transfer.initialize_code()
radiative_transfer.set_symmetricXYZ(True)
radiative_transfer.parameters.length_x = outer_radius
radiative_transfer.parameters.length_y = outer_radius
radiative_transfer.parameters.length_z = outer_radius
radiative_transfer.parameters.mesh_size = [
number_of_grid_cells, number_of_grid_cells, number_of_grid_cells]
setup_abundancies(radiative_transfer)
radiative_transfer.parameters.initial_nebular_temperature = 6000.0 | units.K
radiative_transfer.parameters.high_limit_of_the_frequency_mesh = 15 | mocassin_rydberg_unit
radiative_transfer.parameters.low_limit_of_the_frequency_mesh = 1.001e-5 | mocassin_rydberg_unit
radiative_transfer.parameters.total_number_of_photons = 10000000
radiative_transfer.parameters.total_number_of_points_in_frequency_mesh = 600
radiative_transfer.parameters.convergence_limit = 0.09
radiative_transfer.parameters.number_of_ionisation_stages = 6
radiative_transfer.commit_parameters()
radiative_transfer.grid.hydrogen_density = grid.hydrogen_density
radiative_transfer.commit_grid()
radiative_transfer.particles.add_particle(star)
radiative_transfer.commit_particles()
max_number_of_photons = radiative_transfer.parameters.total_number_of_photons * 100
previous_percentage_converged = 0.0
for i in range(20):
radiative_transfer.step()
percentage_converged = radiative_transfer.get_percentage_converged()
print(
"percentage converged :", percentage_converged,
", step :", i,
", photons:",
radiative_transfer.parameters.total_number_of_photons)
if percentage_converged >= min_convergence:
break
if previous_percentage_converged > 5 and percentage_converged < 95:
convergence_increase = (
percentage_converged - previous_percentage_converged
) / previous_percentage_converged
if (
convergence_increase < 0.2
and radiative_transfer.parameters.total_number_of_photons < max_number_of_photons
):
radiative_transfer.parameters.total_number_of_photons *= 2
previous_percentage_converged = percentage_converged
grid.electron_temperature = radiative_transfer.grid.electron_temperature
radius = grid.radius.flatten()
electron_temperature = grid.electron_temperature.flatten()
selection = electron_temperature > 0 | units.K
plot_temperature_line(radius[selection], electron_temperature[selection])
write_set_to_file(grid, 'h2region.h5', 'amuse')
