def init(self, kw):
"""PICMI relies on C++ WarpX to translate charge & mass strings to
floats. To get around that we have our own variables sq/sm (species
charge/mass) that are always floats.
Automatically adds the species to the simulation
"""
super(Species, self).init(kw)
if isinstance(self.charge, str):
if self.charge == 'q_e':
self.sq = picmi.constants.q_e
elif self.charge == '-q_e':
self.sq = -picmi.constants.q_e
else:
raise ValueError("Unrecognized charge {}".format(self.charge))
else:
self.sq = self.charge
if isinstance(self.mass, str):
if self.mass == 'm_e':
self.sm = picmi.constants.m_e
elif self.mass == 'm_p':
self.sm = picmi.constants.m_p
else:
raise ValueError("Unrecognized mass {}".format(self.mass))
else:
self.sm = self.mass
mwxrun.simulation.add_species(self,
layout=picmi.GriddedLayout(
n_macroparticle_per_cell=[0, 0],
grid=mwxrun.grid))
self.pids_initialized = False
# Only keys are used; ensures pids are both unique and ordered.
self.waiting_extra_pids = {}
# add a callback to initialize the extra PIDs after sim init
callbacks.installafterinit(self.init_pid_dict)
name='electrons',
initial_distribution=uniform_plasma)
grid = picmi.Cartesian2DGrid(
number_of_cells=[nx, ny],
lower_bound=[xmin, ymin],
upper_bound=[xmax, ymax],
lower_boundary_conditions=['periodic', 'periodic'],
upper_boundary_conditions=['periodic', 'periodic'],
moving_window_velocity=[0., 0., 0.],
warpx_max_grid_size=32)
solver = picmi.ElectromagneticSolver(grid=grid, cfl=1.)
sim = picmi.Simulation(solver=solver,
max_steps=40,
verbose=1,
warpx_plot_int=1,
warpx_current_deposition_algo='direct')
sim.add_species(electrons,
layout=picmi.GriddedLayout(n_macroparticle_per_cell=[2, 2],
grid=grid))
# write_inputs will create an inputs file that can be used to run
# with the compiled version.
sim.write_input_file(file_name='inputs2d_from_PICMI')
# Alternatively, sim.step will run WarpX, controlling it from Python
#sim.step()
name='beam',
initial_distribution=beam_distribution)
plasma = picmi.Species(particle_type='electron',
name='plasma',
initial_distribution=plasma_distribution)
sim = picmi.Simulation(solver=solver,
max_steps=1000,
verbose=1,
warpx_plot_int=2,
warpx_current_deposition_algo=3,
warpx_charge_deposition_algo=0,
warpx_field_gathering_algo=0,
warpx_particle_pusher_algo=0)
sim.add_species(beam,
layout=picmi.GriddedLayout(
grid=grid,
n_macroparticle_per_cell=number_per_cell_each_dim))
sim.add_species(plasma,
layout=picmi.GriddedLayout(
grid=grid,
n_macroparticle_per_cell=number_per_cell_each_dim))
# write_inputs will create an inputs file that can be used to run
# with the compiled version.
sim.write_input_file(file_name='inputs_from_PICMI')
# Alternatively, sim.step will run WarpX, controlling it from Python
#sim.step()
directed_velocity = [0., 0., 1.e9])
plasma_distribution = picmi.UniformDistribution(density = 1.e22,
lower_bound = [-200.e-6, -200.e-6, 0.],
upper_bound = [+200.e-6, +200.e-6, None],
fill_in = True)
beam = picmi.Species(particle_type='electron', name='beam', initial_distribution=beam_distribution)
plasma = picmi.Species(particle_type='electron', name='plasma', initial_distribution=plasma_distribution)
sim = picmi.Simulation(solver = solver,
max_steps = max_steps,
verbose = 1,
warpx_current_deposition_algo = 'esirkepov')
sim.add_species(beam, layout=picmi.GriddedLayout(grid=grid, n_macroparticle_per_cell=number_per_cell_each_dim))
sim.add_species(plasma, layout=picmi.GriddedLayout(grid=grid, n_macroparticle_per_cell=number_per_cell_each_dim))
field_diag = picmi.FieldDiagnostic(name = 'diag1',
grid = grid,
period = max_steps,
data_list = ['Ex', 'Ey', 'Ez', 'Jx', 'Jy', 'Jz', 'part_per_cell'],
write_dir = '.',
warpx_file_prefix = 'Python_PlasmaAcceleration_plt')
part_diag = picmi.ParticleDiagnostic(name = 'diag1',
period = max_steps,
species = [beam, plasma],
data_list = ['ux', 'uy', 'uz', 'weighting'])
sim.add_diagnostic(field_diag)
electrons = picmi.Species(particle_type='electron', name='electrons', initial_distribution=uniform_plasma)
grid = picmi.Cartesian3DGrid(number_of_cells = [nx, ny, nz],
lower_bound = [xmin, ymin, zmin],
upper_bound = [xmax, ymax, zmax],
lower_boundary_conditions = ['periodic', 'periodic', 'periodic'],
upper_boundary_conditions = ['periodic', 'periodic', 'periodic'],
moving_window_velocity = [0., 0., 0.],
warpx_max_grid_size=32, warpx_coord_sys=0)
solver = picmi.ElectromagneticSolver(grid=grid, cfl=1.)
sim = picmi.Simulation(solver = solver,
max_steps = 40,
verbose = 1,
warpx_plot_int = 40,
warpx_current_deposition_algo = 3,
warpx_charge_deposition_algo = 0,
warpx_field_gathering_algo = 0,
warpx_particle_pusher_algo = 0)
sim.add_species(electrons, layout=picmi.GriddedLayout(n_macroparticle_per_cell=[2,2,2], grid=grid))
# write_inputs will create an inputs file that can be used to run
# with the compiled version.
sim.write_input_file(file_name='inputs_from_PICMI')
# Alternatively, sim.step will run WarpX, controlling it from Python
sim.step()
period=200,
data_list=diag_field_list,
write_dir='.',
warpx_file_prefix='Python_LaserAccelerationMR_plt')
# Set up simulation
sim = picmi.Simulation(solver=solver,
max_steps=max_steps,
verbose=1,
particle_shape='cubic',
warpx_use_filter=1,
warpx_serialize_ics=1)
# Add plasma electrons
sim.add_species(electrons,
layout=picmi.GriddedLayout(grid=grid,
n_macroparticle_per_cell=[1, 1, 1]))
# Add beam electrons
sim.add_species(beam,
layout=picmi.PseudoRandomLayout(grid=grid,
n_macroparticles=100))
# Add laser
sim.add_laser(laser, injection_method=laser_antenna)
# Add diagnostics
sim.add_diagnostic(field_diag)
# Write input file that can be used to run with the compiled version
sim.write_input_file(file_name='inputs_2d_picmi')
def setup_run(self):
"""Setup simulation components."""
#######################################################################
# Set geometry and boundary conditions #
#######################################################################
self.grid = picmi.Cartesian1DGrid(
number_of_cells=[self.nz],
warpx_max_grid_size=128,
lower_bound=[0],
upper_bound=[self.gap],
lower_boundary_conditions=['dirichlet'],
upper_boundary_conditions=['dirichlet'],
lower_boundary_conditions_particles=['absorbing'],
upper_boundary_conditions_particles=['absorbing'],
warpx_potential_hi_z=self.voltage,
)
#######################################################################
# Field solver #
#######################################################################
self.solver = picmi.ElectrostaticSolver(grid=self.grid,
method='Multigrid',
required_precision=1e-12,
warpx_self_fields_verbosity=0)
#######################################################################
# Particle types setup #
#######################################################################
self.electrons = picmi.Species(
particle_type='electron',
name='electrons',
initial_distribution=picmi.UniformDistribution(
density=self.plasma_density,
rms_velocity=[
np.sqrt(constants.kb * self.elec_temp / constants.m_e)
] * 3,
))
self.ions = picmi.Species(
particle_type='He',
name='he_ions',
charge='q_e',
mass=self.m_ion,
initial_distribution=picmi.UniformDistribution(
density=self.plasma_density,
rms_velocity=[
np.sqrt(constants.kb * self.gas_temp / self.m_ion)
] * 3,
))
#######################################################################
# Collision initialization #
#######################################################################
cross_sec_direc = '../../../../warpx-data/MCC_cross_sections/He/'
mcc_electrons = picmi.MCCCollisions(
name='coll_elec',
species=self.electrons,
background_density=self.gas_density,
background_temperature=self.gas_temp,
background_mass=self.ions.mass,
scattering_processes={
'elastic': {
'cross_section':
cross_sec_direc + 'electron_scattering.dat'
},
'excitation1': {
'cross_section': cross_sec_direc + 'excitation_1.dat',
'energy': 19.82
},
'excitation2': {
'cross_section': cross_sec_direc + 'excitation_2.dat',
'energy': 20.61
},
'ionization': {
'cross_section': cross_sec_direc + 'ionization.dat',
'energy': 24.55,
'species': self.ions
},
})
mcc_ions = picmi.MCCCollisions(
name='coll_ion',
species=self.ions,
background_density=self.gas_density,
background_temperature=self.gas_temp,
scattering_processes={
'elastic': {
'cross_section': cross_sec_direc + 'ion_scattering.dat'
},
'back': {
'cross_section': cross_sec_direc + 'ion_back_scatter.dat'
},
# 'charge_exchange' : {
# 'cross_section' : cross_sec_direc+'charge_exchange.dat'
# }
})
#######################################################################
# Initialize simulation #
#######################################################################
self.sim = picmi.Simulation(
solver=self.solver,
time_step_size=self.dt,
max_steps=self.max_steps,
warpx_collisions=[mcc_electrons, mcc_ions],
warpx_load_balance_intervals=self.max_steps // 5000,
verbose=self.test)
self.sim.add_species(self.electrons,
layout=picmi.GriddedLayout(
n_macroparticle_per_cell=[self.seed_nppc],
grid=self.grid))
self.sim.add_species(self.ions,
layout=picmi.GriddedLayout(
n_macroparticle_per_cell=[self.seed_nppc],
grid=self.grid))
#######################################################################
# Add diagnostics for the CI test to be happy #
#######################################################################
field_diag = picmi.FieldDiagnostic(
name='diag1',
grid=self.grid,
period=0,
data_list=['rho_electrons', 'rho_he_ions'],
write_dir='.',
warpx_file_prefix='Python_background_mcc_1d_plt')
self.sim.add_diagnostic(field_diag)
data_list = diag_field_list)
part_diag1 = picmi.ParticleDiagnostic(name = 'diag1',
period = 10,
species = [electrons])
##########################
# simulation setup
##########################
sim = picmi.Simulation(solver = solver,
max_steps = max_steps,
verbose = 1,
warpx_current_deposition_algo = 'esirkepov')
sim.add_species(electrons, layout=picmi.GriddedLayout(grid=grid, n_macroparticle_per_cell=number_per_cell_each_dim))
sim.add_laser(laser, injection_method=laser_antenna)
sim.add_diagnostic(field_diag1)
sim.add_diagnostic(part_diag1)
##########################
# simulation run
##########################
# write_inputs will create an inputs file that can be used to run
# with the compiled version.
#sim.write_input_file(file_name = 'inputs_from_PICMI')
# Alternatively, sim.step will run WarpX, controlling it from Python