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1 change: 1 addition & 0 deletions cherab/generomak/diagnostics/__init__.py
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from .bolometers import load_bolometers
220 changes: 220 additions & 0 deletions cherab/generomak/diagnostics/bolometers.py
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"""
Some foil bolometers for measuring total radiated power.
"""
from raysect.core import (Node, Point3D, Vector3D, rotate_basis,
rotate_x, rotate_y, rotate_z, translate)
from raysect.optical.material import AbsorbingSurface
from raysect.primitive import Box, Subtract

from cherab.tools.observers import BolometerCamera, BolometerSlit, BolometerFoil


# Convenient constants
XAXIS = Vector3D(1, 0, 0)
YAXIS = Vector3D(0, 1, 0)
ZAXIS = Vector3D(0, 0, 1)
ORIGIN = Point3D(0, 0, 0)
# Bolometer geometry, independent of camera.
BOX_WIDTH = 0.05
BOX_WIDTH = 0.1
BOX_HEIGHT = 0.07
BOX_DEPTH = 0.2
THICKNESS = 1e-3
SLIT_WIDTH = 0.004
SLIT_HEIGHT = 0.005
FOIL_WIDTH = 0.0013
FOIL_HEIGHT = 0.0038
FOIL_CORNER_CURVATURE = 0.0005
FOIL_SEPARATION = 0.00508 # 0.2 inch between foils


def _make_bolometer_camera(slit_sensor_separation, sensor_angles, sensor_rotations):
"""
Build a single bolometer camera.

The camera consists of a box with a rectangular slit and 4 sensors,

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The number of sensors is determined by the length of the sensor_angles list, so a more accurate comment would be: "The camera consists of a box with a rectangular slit and multiple sensors,"

each of which has 4 foils.

In its local coordinate system, the camera's slit is located at the
origin with its width along the X axis and its height along the y
axis, and the sensors are below the z=0 plane looking up towards the
slit.

The sensors are rotated by sensor_angles about the y axis to form a
fan, and by sensor_rotations about the axis defined by the line
between the slit and the sensor. A rotation of 180 degrees flips
the sensor upside down and therefore reverses the spatial ordering
of lines of sight relative to a rotation of 0 degrees.
"""
camera_box = Box(lower=Point3D(-BOX_WIDTH / 2, -BOX_HEIGHT / 2, -BOX_DEPTH),
upper=Point3D(BOX_WIDTH / 2, BOX_HEIGHT / 2, 0))
# Hollow out the box: it has 1 mm thick walls.
inside_box = Box(lower=camera_box.lower + Vector3D(THICKNESS, THICKNESS, THICKNESS),
upper=camera_box.upper - Vector3D(THICKNESS, THICKNESS, THICKNESS))
camera_box = Subtract(camera_box, inside_box)
# The slit is a hole in the box. Make it thicker than the wall.
aperture = Box(lower=Point3D(-SLIT_WIDTH / 2, -SLIT_HEIGHT / 2, -1.1 * THICKNESS),
upper=Point3D(SLIT_WIDTH / 2, SLIT_HEIGHT / 2, 0.1 * THICKNESS))
camera_box = Subtract(camera_box, aperture)
camera_box.material = AbsorbingSurface()
bolometer_camera = BolometerCamera(camera_geometry=camera_box)
# The bolometer slit in this instance just contains targeting information
# for the ray tracing, since we have already given our camera a geometry
# The slit is defined in the local coordinate system of the camera
slit = BolometerSlit(slit_id="Example slit", centre_point=ORIGIN,
basis_x=XAXIS, dx=SLIT_WIDTH, basis_y=YAXIS, dy=SLIT_HEIGHT,
parent=bolometer_camera)
for j, (angle, rotation) in enumerate(zip(sensor_angles, sensor_rotations)):
# 4 bolometer foils, spaced at equal intervals along the local X axis
sensor = Node(name="Bolometer sensor", parent=bolometer_camera)
sensor.transform = (
rotate_y(angle)
* rotate_z(rotation)
* translate(0, 0, -slit_sensor_separation)
)
for i, shift in enumerate([-1.5, -0.5, 0.5, 1.5]):
# Note that the foils will be parented to the camera rather than the
# sensor, so we need to define their transform relative to the camera.
foil_transform = sensor.transform * translate(shift * FOIL_SEPARATION, 0, 0)
foil = BolometerFoil(detector_id="Foil {} sensor {}".format(i + 1, j + 1),
centre_point=ORIGIN.transform(foil_transform),
basis_x=XAXIS.transform(foil_transform), dx=FOIL_WIDTH,
basis_y=YAXIS.transform(foil_transform), dy=FOIL_HEIGHT,
slit=slit, parent=bolometer_camera, units="Power",
accumulate=False, curvature_radius=FOIL_CORNER_CURVATURE)
bolometer_camera.add_foil_detector(foil)
return bolometer_camera


def load_bolometers(parent=None):
"""
Load the Generomak bolometers.

The Generomak bolometer diagnostic consists of multiple 16-channel
cameras. Each camera has 4 4-channel sensors inside.

* 2 cameras are located at the midplane with purely-poloidal,
horizontal views.
* 1 camera is located at the top of the machine with purely-poloidal,
vertical views.
* 2 cameras have purely tangential views at the midplane.
* 1 camera has combined poloidal+tangential views, which look like
curved lines of sight in the poloidal plane. It looks at the lower
divertor.

Channel ordering is as follows:
* Poloidal channels are ordered anti-clockwise by line-of-sight:
channel 1 of HozPol1 views the top of the machine and channel 16
HozPol2 views the bottom of the machine. Similarly, channel 1 of
VertPol views the high field side and channel 16 views the low
field side.
* Tangential channels are ordered by increasing tangency radius:
channel 1 of TanMid1 has its tangency radius on the high field
side and channel 16 has its tangency radius on the low field side.
* The combined tangential/poloidal channels follow both conventions:
channel 1 views the high field side and channel 16 views the low
field side.

:param parent: the scenegraph node the bolometers will belong to.
:return: a list of BolometerCamera instances, one for each of the
cameras described above.
"""
# The coordinate system conventions are as follows. All angles are in
# degrees and increase clockwise when viewing along the relevant axes:
# y axis for poloidal rotation, z axis for toroidal rotation and x axis
# for radial rotation.
# - rotation_poloidal: viewing angle of the slit in the poloidal plane,
# with 0 being horizontally inwards.
# - rotation_toroidal: viewing angle of the slit in the toroidal plane,
# with 0 being purely radial.
# - rotation_radial: rotation about the radial axis, 0 being vertically upwards.
# - origin: position of the slit relative to the (x, z) poloidal plane i.e. y=0.
# - slit_sensor_separation: distance between slit and each 4-channel sensor.
# - sensor_angles: angle between slit normal and sensor normal.
# - sensor_rotations: rotation angle about the slit-sensor vector, enables
# reversing the order of lines of sight spatially within
# each sensor.
# - toroidal_angle: the angle of the poloidal plane in which the origin is
# definied, with 0 being the (x, z) plane.
camera_properties = {
'HozPol1': {}, # Horizontal poloidal
'HozPol2': {}, # Horizontal poloidal,
'VertPol': {}, # Vertical poloidal
'TanMid1': {}, # Tangential
'TanPol1': {} # Combined poloidal/tangential
}
# poloidal rotations
camera_properties['HozPol1']['rotation_poloidal'] = 30
camera_properties['HozPol2']['rotation_poloidal'] = -30
camera_properties['VertPol']['rotation_poloidal'] = -90
camera_properties['TanMid1']['rotation_poloidal'] = 0
camera_properties['TanPol1']['rotation_poloidal'] = -25
# toroidal rotation
camera_properties['HozPol1']['rotation_toroidal'] = 0
camera_properties['HozPol2']['rotation_toroidal'] = 0
camera_properties['VertPol']['rotation_toroidal'] = 0
camera_properties['TanMid1']['rotation_toroidal'] = -40
camera_properties['TanPol1']['rotation_toroidal'] = 40
# radial rotation
camera_properties['HozPol1']['rotation_radial'] = -90
camera_properties['HozPol2']['rotation_radial'] = -90
camera_properties['VertPol']['rotation_radial'] = -90
camera_properties['TanMid1']['rotation_radial'] = 0
camera_properties['TanPol1']['rotation_radial'] = 0
# origins relative to the poloidal (x, z) plane
camera_properties['HozPol1']['origin'] = Point3D(2.45, 0.05, 0)
camera_properties['HozPol2']['origin'] = Point3D(2.45, -0.05, 0)
camera_properties['VertPol']['origin'] = Point3D(1.3, 0, 1.42)
camera_properties['TanMid1']['origin'] = Point3D(2.5, 0, 0)
camera_properties['TanPol1']['origin'] = Point3D(2.2, 0, -0.8)
# slit-sensor separations
camera_properties['HozPol1']['slit_sensor_separation'] = 0.08
camera_properties['HozPol2']['slit_sensor_separation'] = 0.08
camera_properties['VertPol']['slit_sensor_separation'] = 0.05
camera_properties['TanMid1']['slit_sensor_separation'] = 0.1
camera_properties['TanPol1']['slit_sensor_separation'] = 0.15
# sensor angles relative to the slit
camera_properties['HozPol1']['sensor_angles'] = [22.5, 7.5, -7.5, -22.5]
camera_properties['HozPol2']['sensor_angles'] = [22.5, 7.5, -7.5, -22.5]
camera_properties['VertPol']['sensor_angles'] = [36, 12, -12, -36]
camera_properties['TanMid1']['sensor_angles'] = [18, 6, -6, -18]
camera_properties['TanPol1']['sensor_angles'] = [-12, -4, 4, 12]
# sensor rotation relative to the slit
camera_properties['HozPol1']['sensor_rotations'] = [0, 0, 0, 0]
camera_properties['HozPol2']['sensor_rotations'] = [0, 0, 0, 0]
camera_properties['VertPol']['sensor_rotations'] = [0, 0, 0, 0]
camera_properties['TanMid1']['sensor_rotations'] = [0, 0, 0, 0]
camera_properties['TanPol1']['sensor_rotations'] = [180, 180, 180, 180]
# toroidal angles about which to rotate the poloidal plane
camera_properties['HozPol1']['toroidal_angle'] = 10 # need to avoid LFS limiters
camera_properties['HozPol2']['toroidal_angle'] = 10 # need to avoid LFS limiters
camera_properties['VertPol']['toroidal_angle'] = 0 # happy to hit LFS limiters
camera_properties['TanMid1']['toroidal_angle'] = -15 # avoid LFS limiters
camera_properties['TanPol1']['toroidal_angle'] = 15 # avoid LFS limiters

cameras = []
for name, prop in camera_properties.items():
camera = _make_bolometer_camera(
prop['slit_sensor_separation'],
prop['sensor_angles'],
prop['sensor_rotations'],
)
# The transform is applied as follows:
# 1. Point the camera along the inward radial direction in the (x, z) plane.
# 2. Make the radial, poloidal and toroidal rotations while the camera is at
# the origin.
# 3. Move the camera to its position relative to the (x, z) plane.
# 4. Rotate the (x, z) plane to the correct toroidal angle.
# Transforms are applied right-to-left (or bottom-to-top with one per line):
camera.transform = (
rotate_z(prop['toroidal_angle'])
* translate(prop['origin'].x, prop['origin'].y, prop['origin'].z)
* rotate_z(prop['rotation_toroidal'])
* rotate_y(prop['rotation_poloidal'])
* rotate_x(prop['rotation_radial'])
* rotate_basis(-XAXIS, ZAXIS)
)
camera.parent = parent
camera.name = name
cameras.append(camera)
return cameras
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