def poloidal_trajectory_plot(self,
field_tracer,
world,
equilibrium,
num_of_fieldlines=5,
max_tracing_length=15):
if not (isinstance(num_of_fieldlines, int) and num_of_fieldlines > 0):
raise TypeError(
"The number of fieldlines to trace must be an integer > 0.")
point_a = Point3D(self._point_a.x, 0, self._point_a.y)
point_b = Point3D(self._point_b.x, 0, self._point_b.y)
interface_vector = point_a.vector_to(point_b)
plot_equilibrium(equilibrium, detail=False)
for i in range(num_of_fieldlines):
sample_point = point_a + interface_vector * i / num_of_fieldlines
_, _, trajectory = field_tracer.trace(
world,
sample_point,
max_length=max_tracing_length,
save_trajectory=True)
rz_trajectory = np.zeros((trajectory.shape[0], 2))
for i in range(trajectory.shape[0]):
r = sqrt(trajectory[i, 0]**2 + trajectory[i, 1]**2)
z = trajectory[i, 2]
rz_trajectory[i, :] = r, z
plt.plot(rz_trajectory[:, 0], rz_trajectory[:, 1], 'g')
def plot(self, equilibrium):
"""
Plot the interface surface line across the equilibrium.
:param EFITEquilibrium equilibrium: the equilibrium to plot.
"""
sample_points = []
num_samples = self._power_profile.shape[0]
point_a = self._point_a
point_b = self._point_b
interface_vector = point_a.vector_to(point_b)
for i in range(num_samples):
seed_point = point_a + interface_vector * i / num_samples
sample_points.append([seed_point.x, seed_point.y])
interface_distance = point_a.distance_to(point_b)
sample_distances = np.linspace(0, interface_distance, num=num_samples)
sample_points = np.array(sample_points)
plot_equilibrium(equilibrium, detail=False)
plt.plot(sample_points[:, 0], sample_points[:, 1])
plt.figure()
plt.plot(sample_distances, self._power_profile)
plt.figure()
plt.axes(aspect='equal')
plt.pcolormesh(r, z, temperature_grid.transpose(), shading='gouraud')
plt.autoscale(tight=True)
plt.colorbar()
plt.title('2D Temperature (function)')
# display 3D temperature
print("Plotting function based 3d temperature...")
rmin, rmax = equilibrium.r_range
zmin, zmax = equilibrium.z_range
nr = round((rmax - rmin) / 0.01)
nz = round((zmax - zmin) / 0.01)
temperature_slice = Slice3D(temperature_3d, axis='z', value=0.0)
x, y, temperature_grid = sample2d(temperature_slice, (-rmax, rmax, nr),
(-rmax, rmax, nr))
plt.figure()
plt.axes(aspect='equal')
plt.pcolormesh(x, y, temperature_grid.transpose(), shading='gouraud')
plt.autoscale(tight=True)
plt.colorbar()
plt.title('3D Temperature (x-y slice, function)')
# the cherab package has a convenience tool for viewing an equilibrium
# this function samples the various equilibrium attributes and renders them as images
print('Plotting equilibrium data...')
plot_equilibrium(equilibrium, detail=True)
# other method
power_profile = sample_power_at_surface(interface_point_a, interface_point_b,
equilibrium, footprint)
interface_power = 1e6 # 1MW
angle_period = 45
interface_surface = InterfaceSurface(interface_point_a, interface_point_b,
power_profile, interface_power)
interface_surface.histogram_plot()
plt.figure()
plt.plot(psi_on_interface)
plt.title('PSI along divertor interface')
plot_equilibrium(equilibrium, detail=False)
plt.plot([interface_point_a.x, interface_point_b.x],
[interface_point_a.y, interface_point_b.y], 'k')
# TODO - Jeppe could insert his calculation method here, allowing comparison within the same script.
# find and plot the peak of the histogram
index, value = max(enumerate(n), key=operator.itemgetter(1))
peak_position = (bins[index] + bins[index + 1]) / 2
peak_point2d = interface_point_a + interface_vector.normalise() * peak_position
plt.plot([peak_point2d.x], [peak_point2d.y], 'r.')
# # add jeppes peak position
# jeppes_peak_position = 0.02 JEPPE - add your peak position here for the plots
# peak_point2d = interface_point_a + interface_vector.normalise() * peak_position
# plt.plot([peak_point2d.x], [peak_point2d.y], 'g.')
# Copyright 2014-2017 United Kingdom Atomic Energy Authority
#
# Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the
# European Commission - subsequent versions of the EUPL (the "Licence");
# You may not use this work except in compliance with the Licence.
# You may obtain a copy of the Licence at:
#
# https://joinup.ec.europa.eu/software/page/eupl5
#
# Unless required by applicable law or agreed to in writing, software distributed
# under the Licence is distributed on an "AS IS" basis, WITHOUT WARRANTIES OR
# CONDITIONS OF ANY KIND, either express or implied.
#
# See the Licence for the specific language governing permissions and limitations
# under the Licence.
from cherab.tools.equilibrium import plot_equilibrium
from cherab.mastu.equilibrium import MASTUEquilibrium
print("Reading equilibrium...")
pulse_equilibrium = MASTUEquilibrium(28101)
eq = pulse_equilibrium.time(0.2)
plot_equilibrium(eq)
def _process_efit_polygon(self, poly_r, poly_z):
if poly_r.shape != poly_z.shape:
raise ValueError("EFIT polygon coordinate arrays are inconsistent in length.")
n = poly_r.shape[0]
if n < 2:
raise ValueError("EFIT polygon coordinate contain less than 2 points.")
# boundary polygon contains redundant points that must be removed
unique = (poly_r != poly_r[0]) | (poly_z != poly_z[0])
unique[0] = True # first point must be included!
poly_r = poly_r[unique]
poly_z = poly_z[unique]
# generate single array containing coordinates
poly_coords = np.zeros((2, len(poly_r)))
poly_coords[0, :] = poly_r
poly_coords[1, :] = poly_z
return poly_coords
if __name__ == "__main__":
from os.path import expanduser
from cherab.tools.equilibrium import plot_equilibrium
path = expanduser("~/EFIT/17636.1.h5")
equilibrium = COMPASSEquilibrium(path=path)
eq_slice = equilibrium.time(1.135)
plot_equilibrium(equilibrium=eq_slice, detail=True, resolution=0.01)
# Copyright 2014-2017 United Kingdom Atomic Energy Authority
#
# Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the
# European Commission - subsequent versions of the EUPL (the "Licence");
# You may not use this work except in compliance with the Licence.
# You may obtain a copy of the Licence at:
#
# https://joinup.ec.europa.eu/software/page/eupl5
#
# Unless required by applicable law or agreed to in writing, software distributed
# under the Licence is distributed on an "AS IS" basis, WITHOUT WARRANTIES OR
# CONDITIONS OF ANY KIND, either express or implied.
#
# See the Licence for the specific language governing permissions and limitations
# under the Licence.
from cherab.tools.equilibrium import plot_equilibrium
from cherab.jet.equilibrium import JETEquilibrium
print("Reading equilibrium...")
pulse_equilibrium = JETEquilibrium(87738)
eq = pulse_equilibrium.time(45.0)
plot_equilibrium(pulse_equilibrium.time(45.0))
plot_equilibrium(pulse_equilibrium.time(50.0))
plot_equilibrium(pulse_equilibrium.time(55.0))
