xopto.mcml.mcdetector.probe.lineararraypl module¶
- class LinearArrayPl(fiber: xopto.mcbase.mcutil.fiber.MultimodeFiber, n=1, spacing: Optional[float] = None, plaxis: Optional[xopto.mcbase.mcutil.axis.Axis] = None, orientation: Tuple[float, float] = (1.0, 0.0), position: Tuple[float, float] = (0.0, 0.0), direction: Tuple[float, float, float] = (0.0, 0.0, 1.0))[source]¶
Bases:
xopto.mcml.mcdetector.base.Detector
Optical fiber probe detector with a linear array of optical fibers that are optionally tilted(direction parameter). The optical fibers are always polished in a way that forms a tight optical contact with the surface of the sample.
- Parameters
fiber (MultimodeFiber) – Optical properties of the fibers.
n (int) – The number of optical fibers in the linear array. This option is a compile-time feature and caanot be changed once the detector object is created.
spacing (float) – Spacing between the optical fibers. If spacing is None, a tight layout is used with spacing set to the outer diameter of the fiber cladding.
plaxis (axis.Axis) – Object that defines the accumulators along the optical path length axis (this axis supports log-scale).
orientation ((float, float)) – Vector that points in the direction of the linear fiber array. By default the fibers are place in the direction of x axis, i.e. vector (1.0, 0.0). The orientation must point in the direction from the first to the last optical fiber!
position ((float, float)) – Position of the center of the linear fiber array.
direction ((float, float, float)) – Reference direction / orientation of the detector fibers. Fibers are oriented in this direction and polished to form a tight optical contact with the sample (the fiber cross sections are ellipsoids if the direction is not perpendicular, i.e different from (0, 0, 1).
- cl_declaration(mc: xopto.mcbase.mcobject.McObject) → str[source]¶
Structure that defines the detector in the Monte Carlo simulator.
- cl_implementation(mc: xopto.mcbase.mcobject.McObject) → str[source]¶
Implementation of the detector accumulator in the Monte Carlo simulator.
- cl_options(mc, target=None) → List[Tuple[str, str]][source]¶
OpenCL kernel options defined by this object.
- cl_pack(mc: xopto.mcbase.mcobject.McObject, target: Optional[xopto.cl.cltypes.Structure] = None) → xopto.cl.cltypes.Structure[source]¶
Fills the structure (target) with the data required by the Monte Carlo simulator. See the
LinearArrayPl.cl_type()
method for a detailed list of fields.- Parameters
mc (mcobject.McObject) – Monte Carlo simulator instance.
target (cltypes.Structure) – Ctypes structure that is filled with the source data.
- Returns
target – Filled structure received as an input argument or a new instance if the input argument target is None.
- Return type
- static cl_type(mc: xopto.mcbase.mcobject.McObject) → xopto.cl.cltypes.Structure[source]¶
- property direction: Tuple[float, float, float]¶
Detector reference direction.
- property fiber: Tuple[float, float]¶
Properties of the optical fibers used by the detector.
- fiber_position(index: int) → Tuple[float, float][source]¶
Returns the position of the fiber center as a tuple (x, y).
- Parameters
index (int) – Fiber index from 0 to n -1.
- Returns
position – The position of the fiber center as a tuple (x, y).
- Return type
(float, float)
- static fromdict(data) → xopto.mcml.mcdetector.probe.lineararraypl.LinearArrayPl[source]¶
Create an accumulator instance from a dictionary.
- Parameters
data (dict) – Dictionary created by the
LinearArrayPl.todict()
method.
- property n: int¶
Number of optical fiber in the linear array.
- property normalized: numpy.ndarray¶
Normalized.
- property npl¶
Number of accumulators in the optical pathlength axis.
- property orientation: Tuple[float, float]¶
Orientation / direction of the linear fiber array.
- property pl¶
Centers of the optical pathlength axis accumulators.
- property plaxis: xopto.mcbase.mcutil.axis.Axis¶
Path length axis object.
- property pledges¶
Edges of the optical pathlength axis accumulators.
- property position: Tuple[float, float]¶
Position of the fiber array center as a tuple (x, y).
- property reflectance: numpy.ndarray¶
Reflectance.
- property spacing: float¶
Spacing between the centers of the optical fibers
- todict() → dict[source]¶
Save the accumulator configuration without the accumulator data to a dictionary. Use the
LinearArrayPl.fromdict()
method to create a new accumulator instance from the returned data.- Returns
data – Accumulator configuration as a dictionary.
- Return type
dict
- property transmittance: numpy.ndarray¶
Transmittance.
- update(other: xopto.mcml.mcdetector.probe.lineararraypl.LinearArrayPl)[source]¶
Update this detector configuration from the other detector. The other detector must be of the same type as this detector or a dict with appropriate fields.
- Parameters
other (LinearArrayPl or dict) – This source is updated with the configuration of the other source.