xopto.mcml.mcdetector.probe.fiberarray module

class FiberArray(fibers: List[xopto.mcbase.mcutil.fiber.FiberLayout])

Bases: xopto.mcml.mcdetector.base.Detector

Optical fiber probe detector with an 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 (List[FiberLayout]) – List of optical fiber configuration that form the fiber array.

check()

Check if the configuration has errors and raise exceptions if so.

cl_declaration(mc: xopto.mcbase.mcobject.McObject) → str

Structure that defines the detector in the Monte Carlo simulator.

cl_implementation(mc: xopto.mcbase.mcobject.McObject) → str

Implementation of the detector in the Monte Carlo simulator.

cl_pack(mc: xopto.mcbase.mcobject.McObject, target: Optional[xopto.cl.cltypes.Structure] = None) → xopto.cl.cltypes.Structure

Fills the structure (target) with the data required by the Monte Carlo simulator. See the FiberArray.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

cltypes.Structure

cl_type(mc: xopto.mcbase.mcobject.McObject) → xopto.cl.cltypes.Structure

fiber_position(index: int) → Tuple[float, float]

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)

property fibers: List[xopto.mcbase.mcutil.fiber.FiberLayout]

List of optical fibers.

static fromdict(data)

Create an accumulator instance from a dictionary.

Parameters

data (dict) – Dictionary created by the FiberArray.todict() method.

property n: int

Number of optical fiber in the array.

property normalized: numpy.ndarray

Normalized.

property reflectance: numpy.ndarray

Reflectance.

todict()

Save the accumulator configuration without the accumulator data to a dictionary. Use the FiberArray.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.fiberarray.FiberArray)

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 (FiberArray or dict) – This source is updated with the configuration of the other source.