def __init__(self):
from pyrticle.units import SIUnitsWithNaturalConstants
self.units = units = SIUnitsWithNaturalConstants()
ui = PICCPyUserInterface(units)
setup = self.setup = ui.gather()
from pytools.log import LogManager
import os.path
self.logmgr = LogManager(os.path.join(setup.output_path, "pic.dat"),
"w")
from hedge.backends import guess_run_context
self.rcon = guess_run_context([])
if self.rcon.is_head_rank:
mesh = self.rcon.distribute_mesh(setup.mesh)
else:
mesh = self.rcon.receive_mesh()
self.discr = discr = \
self.rcon.make_discretization(mesh,
order=setup.element_order,
debug=setup.dg_debug)
self.logmgr.set_constant("elements_total", len(setup.mesh.elements))
self.logmgr.set_constant("elements_local", len(mesh.elements))
self.logmgr.set_constant("element_order", setup.element_order)
# em operator ---------------------------------------------------------
maxwell_kwargs = {
"epsilon": units.EPSILON0,
"mu": units.MU0,
"flux_type": setup.maxwell_flux_type,
"bdry_flux_type": setup.maxwell_bdry_flux_type
}
if discr.dimensions == 3:
from hedge.models.em import MaxwellOperator
self.maxwell_op = MaxwellOperator(**maxwell_kwargs)
elif discr.dimensions == 2:
from hedge.models.em import TEMaxwellOperator
self.maxwell_op = TEMaxwellOperator(**maxwell_kwargs)
else:
raise ValueError, "invalid mesh dimension"
if setup.chi is not None:
from pyrticle.hyperbolic import ECleaningMaxwellOperator
self.maxwell_op = ECleaningMaxwellOperator(
self.maxwell_op, chi=setup.chi, phi_decay=setup.phi_decay)
if setup.phi_filter is not None:
from pyrticle.hyperbolic import PhiFilter
from hedge.discretization import Filter, ExponentialFilterResponseFunction
em_filters.append(
PhiFilter(
maxwell_op,
Filter(
discr,
ExponentialFilterResponseFunction(
*setup.phi_filter))))
# timestepping setup --------------------------------------------------
goal_dt = self.maxwell_op.estimate_timestep(discr) * setup.dt_scale
self.nsteps = int(setup.final_time / goal_dt) + 1
self.dt = setup.final_time / self.nsteps
self.stepper = setup.timestepper_maker(self.dt)
# particle setup ------------------------------------------------------
from pyrticle.cloud import PicMethod, PicState, \
optimize_shape_bandwidth, \
guess_shape_bandwidth
method = self.method = PicMethod(
discr,
units,
setup.depositor,
setup.pusher,
dimensions_pos=setup.dimensions_pos,
dimensions_velocity=setup.dimensions_velocity,
debug=setup.debug)
self.state = method.make_state()
method.add_particles(self.state,
setup.distribution.generate_particles(),
setup.nparticles)
self.total_charge = setup.nparticles * setup.distribution.mean()[2][0]
if isinstance(setup.shape_bandwidth, str):
if setup.shape_bandwidth == "optimize":
optimize_shape_bandwidth(
method, self.state,
setup.distribution.get_rho_interpolant(
discr, self.total_charge), setup.shape_exponent)
elif setup.shape_bandwidth == "guess":
guess_shape_bandwidth(method, self.state, setup.shape_exponent)
else:
raise ValueError, "invalid shape bandwidth setting '%s'" % (
setup.shape_bandwidth)
else:
from pyrticle._internal import PolynomialShapeFunction
method.depositor.set_shape_function(
self.state,
PolynomialShapeFunction(
float(setup.shape_bandwidth),
method.mesh_data.dimensions,
setup.shape_exponent,
))
# initial condition ---------------------------------------------------
if "no_ic" in setup.debug:
self.fields = self.maxwell_op.assemble_eh(discr=discr)
else:
from pyrticle.cloud import compute_initial_condition
self.fields = compute_initial_condition(
self.rcon,
discr,
method,
self.state,
maxwell_op=self.maxwell_op,
potential_bc=setup.potential_bc,
force_zero=False)
# rhs calculators -----------------------------------------------------
from pyrticle.cloud import \
FieldRhsCalculator, \
FieldToParticleRhsCalculator, \
ParticleRhsCalculator, \
ParticleToFieldRhsCalculator
self.f_rhs_calculator = FieldRhsCalculator(self.method,
self.maxwell_op)
self.p_rhs_calculator = ParticleRhsCalculator(self.method,
self.maxwell_op)
self.f2p_rhs_calculator = FieldToParticleRhsCalculator(
self.method, self.maxwell_op)
self.p2f_rhs_calculator = ParticleToFieldRhsCalculator(
self.method, self.maxwell_op)
# instrumentation setup -----------------------------------------------
self.add_instrumentation(self.logmgr)
