from cherab.core.math import Constant3D, ConstantVector3D from cherab.core.atomic import elements, Line from cherab.openadas import OpenADAS from cherab.core.model import SingleRayAttenuator, BeamCXLine from cherab.tools.plasmas import GaussianVolume integration_step = 0.02 # setup scenegraph world = World() # create atomic data source adas = OpenADAS(permit_extrapolation=True) # PLASMA ---------------------------------------------------------------------- plasma = Plasma(parent=world) # define basic distributions ion_density = 9e19 sigma = 0.25 d_density = GaussianVolume(0.94 * ion_density, sigma) he2_density = GaussianVolume(0.04 * ion_density, sigma) c6_density = GaussianVolume(0.01 * ion_density, sigma) ne10_density = GaussianVolume(0.01 * ion_density, sigma) e_density = GaussianVolume((0.94 + 0.04*2 + 0.01*6 + 0.01*10) * ion_density, sigma) temperature = 1000 + GaussianVolume(4000, sigma) bulk_velocity = ConstantVector3D(Vector3D(200e3, 0, 0)) d_distribution = Maxwellian(d_density, temperature, bulk_velocity, elements.deuterium.atomic_weight * atomic_mass) he2_distribution = Maxwellian(he2_density, temperature, bulk_velocity, elements.helium.atomic_weight * atomic_mass)
MultipletLineShape, StarkBroadenedLine
from cherab.openadas import OpenADAS
from cherab.tools.plasmas import GaussianVolume
# tunables
ion_density = 1e20
sigma = 0.25
# setup scenegraph
world = World()
# create atomic data source
adas = OpenADAS(permit_extrapolation=True)
# PLASMA ----------------------------------------------------------------------
plasma = Plasma(parent=world)
plasma.atomic_data = adas
plasma.geometry = Sphere(sigma * 5.0)
plasma.geometry_transform = None
plasma.integrator = NumericalIntegrator(step=sigma / 5.0)
# define basic distributions
d_density = GaussianVolume(0.5 * ion_density, sigma * 10000)
n_density = d_density * 0.01
e_density = GaussianVolume(ion_density, sigma * 10000)
temperature = 1 + GaussianVolume(79, sigma)
bulk_velocity = ConstantVector3D(Vector3D(-1e6, 0, 0))
deuterium_mass = deuterium.atomic_weight * atomic_mass
d_distribution = Maxwellian(d_density, temperature, bulk_velocity,
deuterium_mass)
def create_plasma(self, parent=None, transform=None, name=None):
"""
Make a CHERAB plasma object from this SOLEGE2D simulation.
:param Node parent: The plasma's parent node in the scenegraph, e.g. a World object.
:param AffineMatrix3D transform: Affine matrix describing the location and orientation
of the plasma in the world.
:param str name: User friendly name for this plasma (default = "SOLEDGE2D Plasma").
:rtype: Plasma
"""
mesh = self.mesh
name = name or "SOLEDGE2D Plasma"
plasma = Plasma(parent=parent, transform=transform, name=name)
radius = mesh.mesh_extent['maxr']
height = mesh.mesh_extent['maxz'] - mesh.mesh_extent['minz']
plasma.geometry = Cylinder(radius, height)
plasma.geometry_transform = translate(0, 0, mesh.mesh_extent['minz'])
tri_index_lookup = self.mesh.triangle_index_lookup
tri_to_grid = self.mesh.triangle_to_grid_map
if isinstance(self._b_field_vectors, np.ndarray):
plasma.b_field = SOLEDGE2DVectorFunction3D(
tri_index_lookup, tri_to_grid, self._b_field_vectors_cartesian)
else:
print(
'Warning! No magnetic field data available for this simulation.'
)
# Create electron species
triangle_data = _map_data_onto_triangles(self._electron_temperature)
electron_te_interp = Discrete2DMesh(mesh.vertex_coords,
mesh.triangles,
triangle_data,
limit=False)
electron_temp = AxisymmetricMapper(electron_te_interp)
triangle_data = _map_data_onto_triangles(self._electron_density)
electron_ne_interp = Discrete2DMesh.instance(electron_te_interp,
triangle_data)
electron_dens = AxisymmetricMapper(electron_ne_interp)
electron_velocity = lambda x, y, z: Vector3D(0, 0, 0)
plasma.electron_distribution = Maxwellian(electron_dens, electron_temp,
electron_velocity,
electron_mass)
if not isinstance(self.velocities_cartesian, np.ndarray):
print(
'Warning! No velocity field data available for this simulation.'
)
b2_neutral_i = 0 # counter for B2 neutrals
for k, sp in enumerate(self.species_list):
# Identify the species based on its symbol
symbol, charge = re.match(_SPECIES_REGEX, sp).groups()
charge = int(charge)
species_type = _species_symbol_map[symbol]
# If neutral and B" atomic density available, use B2 density, otherwise use fluid species density.
if isinstance(self.b2_neutral_densities,
np.ndarray) and charge == 0:
species_dens_data = self.b2_neutral_densities[:, :,
b2_neutral_i]
b2_neutral_i += 1
else:
species_dens_data = self.species_density[:, :, k]
triangle_data = _map_data_onto_triangles(species_dens_data)
dens = AxisymmetricMapper(
Discrete2DMesh.instance(electron_te_interp, triangle_data))
# dens = SOLPSFunction3D(tri_index_lookup, tri_to_grid, species_dens_data)
# Create the velocity vector lookup function
if isinstance(self.velocities_cartesian, np.ndarray):
velocity = SOLEDGE2DVectorFunction3D(
tri_index_lookup, tri_to_grid,
self.velocities_cartesian[:, :, k, :])
else:
velocity = lambda x, y, z: Vector3D(0, 0, 0)
distribution = Maxwellian(dens, electron_temp, velocity,
species_type.atomic_weight * atomic_mass)
plasma.composition.add(Species(species_type, charge, distribution))
return plasma
import_jet_mesh(world)
# ########################### PLASMA EQUILIBRIUM ############################ #
print('Plasma equilibrium')
equilibrium = JETEquilibrium(PULSE)
equil_time_slice = equilibrium.time(TIME)
psin_2d = equil_time_slice.psi_normalised
psin_3d = AxisymmetricMapper(equil_time_slice.psi_normalised)
inside_lcfs = equil_time_slice.inside_lcfs
# ########################### PLASMA CONFIGURATION ########################## #
print('Plasma configuration')
plasma = Plasma(parent=world)
plasma.atomic_data = adas
plasma.b_field = VectorAxisymmetricMapper(equil_time_slice.b_field)
DATA_PATH = '/pulse/{}/ppf/signal/{}/{}/{}:{}'
user = '******'
sequence = 0
psi_coord = sal.get(
DATA_PATH.format(PULSE_PLASMA, user, 'PRFL', 'C6',
sequence)).dimensions[0].data
mask = psi_coord <= 1.0
psi_coord = psi_coord[mask]
flow_velocity_tor_data = sal.get(
DATA_PATH.format(PULSE_PLASMA, user, 'PRFL', 'VT', sequence)).data[mask]
###############
# Make Plasma #
width = 1.0
length = 1.0
height = 3.0
peak_density = 5e19
pedestal_top = 1
neutral_temperature = 0.5
peak_temperature = 2500
impurities = [(carbon, 6, 0.005)]
world = World()
adas = OpenADAS(permit_extrapolation=True, missing_rates_return_null=True)
plasma = Plasma(parent=world)
plasma.atomic_data = adas
plasma.geometry = Box(Point3D(0, -width / 2, -height / 2),
Point3D(length, width / 2, height / 2))
species = []
# make a non-zero velocity profile for the plasma
vy_profile = IonFunction(1E5, 0, pedestal_top=pedestal_top)
def vectorfunction3d(x, y, z):
vy = vy_profile(x, y, z)
return Vector3D(0, vy, 0)
from raysect.primitive import Sphere
from raysect.optical.observer import PinholeCamera
from raysect.optical.material.emitter.inhomogeneous import NumericalIntegrator
# tunables
ion_density = 1e19
sigma = 0.25
# setup scenegraph
world = World()
# create atomic data source
adas = OpenADAS(permit_extrapolation=True)
# PLASMA ----------------------------------------------------------------------
plasma = Plasma(parent=world)
plasma.atomic_data = adas
plasma.geometry = Sphere(sigma * 5.0)
plasma.geometry_transform = None
plasma.integrator = NumericalIntegrator(step=sigma / 5.0)
# define basic distributions
d_density = GaussianVolume(0.5 * ion_density, sigma * 10000)
e_density = GaussianVolume(ion_density, sigma * 10000)
temperature = 1 + GaussianVolume(79, sigma)
bulk_velocity = ConstantVector3D(Vector3D(-1e5, 0, 0))
d_mass = elements.deuterium.atomic_weight * atomic_mass
d_distribution = Maxwellian(d_density, temperature, bulk_velocity, d_mass)
e_distribution = Maxwellian(e_density, temperature, bulk_velocity,
electron_mass)
from cherab.core.math import Constant3D, ConstantVector3D
from cherab.core.atomic import elements, Line
from cherab.openadas import OpenADAS
from cherab.core.model import SingleRayAttenuator, BeamCXLine
from gaussian_volume import GaussianVolume
integration_step = 0.02
# setup scenegraph
world = World()
# create atomic data source
adas = OpenADAS(permit_extrapolation=True)
# PLASMA ----------------------------------------------------------------------
plasma = Plasma(parent=world)
# define basic distributions
ion_density = 9e19
sigma = 0.25
d_density = GaussianVolume(0.94 * ion_density, sigma)
he2_density = GaussianVolume(0.04 * ion_density, sigma)
c6_density = GaussianVolume(0.01 * ion_density, sigma)
ne10_density = GaussianVolume(0.01 * ion_density, sigma)
e_density = GaussianVolume(
(0.94 + 0.04 * 2 + 0.01 * 6 + 0.01 * 10) * ion_density, sigma)
temperature = 10 + GaussianVolume(240, sigma)
# temperature = 1000 + GaussianVolume(4000, sigma)
bulk_velocity = ConstantVector3D(Vector3D(200e3, 0, 0))
#import_jet_mesh(world)
# ########################### PLASMA EQUILIBRIUM ############################ #
print('Plasma equilibrium')
equilibrium = MASTUEquilibrium(PULSE)
equil_time_slice = equilibrium.time(TIME)
psin_2d = equil_time_slice.psi_normalised
psin_3d = AxisymmetricMapper(equil_time_slice.psi_normalised)
inside_lcfs = equil_time_slice.inside_lcfs
# ########################### PLASMA CONFIGURATION ########################## #
print('Plasma configuration')
plasma = Plasma(parent=world)
plasma.atomic_data = adas
plasma.b_field = VectorAxisymmetricMapper(equil_time_slice.b_field)
DATA_PATH = '/pulse/{}/ppf/signal/{}/{}/{}:{}'
user = '******'
sequence = 0
psi_coord = equilibrium.f_profile_psin
mask = np.argwhere(psi_coord <= 1.0)[:, 0]
# Ignore flow velocity, set to zero vector.
flow_velocity = lambda x, y, z: Vector3D(0, 0, 0)
# Set Ti = Te
# swap this to load the thomson data
adas = OpenADAS(permit_extrapolation=True) # create atomic data source
# ########################### PLASMA EQUILIBRIUM ############################ #
print('Plasma equilibrium')
equilibrium = MASTUEquilibrium(PULSE)
equil_time_slice = equilibrium.time(TIME)
psin_2d = equil_time_slice.psi_normalised
psin_3d = AxisymmetricMapper(equil_time_slice.psi_normalised)
inside_lcfs = equil_time_slice.inside_lcfs
# ########################### PLASMA CONFIGURATION ########################## #
print('Plasma configuration')
plasma = Plasma(parent=world)
plasma.atomic_data = adas
plasma.b_field = VectorAxisymmetricMapper(equil_time_slice.b_field)
plasma_index = equilibrium._find_nearest(equilibrium.plasma_times.data, TIME)
r = equilibrium.r.data[0, :] #R,Z co-ordinates defined in EFIT
z = equilibrium.z.data[0, :]
#Find Psi(R,Z=0)
psi2d = np.zeros((len(r), len(z)))
for i in range(len(r)):
for j in range(len(z)):
psi2d[j, i] = psin_2d(r[i], z[j])
psi_z0 = psi2d[:, 32]
# tunables
peak_density = 1e19
peak_temperature = 2500
magnetic_axis = (2.5, 0)
# setup scenegraph
world = World()
###################
# plasma creation #
plasma = Plasma(parent=world)
plasma.atomic_data = OpenADAS(permit_extrapolation=True)
plasma.geometry = Cylinder(3.5, 2.2, transform=translate(0, 0, -1.1))
plasma.geometry_transform = translate(0, 0, -1.1)
# No net velocity for any species
zero_velocity = ConstantVector3D(Vector3D(0, 0, 0))
# define neutral species distribution
d0_density = NeutralFunction(peak_density, 0.1, magnetic_axis)
d0_temperature = Constant3D(0.5) # constant 0.5eV temperature for all neutrals
d0_distribution = Maxwellian(d0_density, d0_temperature, zero_velocity,
deuterium.atomic_weight * atomic_mass)
d0_species = Species(deuterium, 0, d0_distribution)
# define deuterium ion species distribution
