WavesDetector#

class abtem.detectors.WavesDetector(to_cpu=False, url=None)[source]#

Bases: abtem.detectors.BaseDetector

Detect the complex wave functions.

Parameters

to_cpu (bool, optional) – If True, copy the measurement data from the calculation device to CPU memory after applying the detector, otherwise the data stays on the respective devices. Default is True.
url (str, optional) – If this parameter is set the measurement data is saved at the specified location, typically a path to a local file. A URL can also include a protocol specifier like s3:// for remote data. If not set (default) the data stays in memory.

__init__(to_cpu=False, url=None)[source]#

Methods

`__init__`([to_cpu, url])
`angular_limits`(waves)	The outer limits of the detected scattering angles in x and y [mrad] for the given waves.
`apply`(array_object)	Apply the transform to the given waves.
`copy`()	Make a copy.
`detect`(waves)	Detect the given waves directly as complex waves.
`ensemble_blocks`([chunks])	Split the ensemble into an array of smaller ensembles.
`generate_blocks`([chunks])	Generate chunks of the ensemble.
`select_block`(index, chunks)	Select a block from the ensemble.

Attributes

`axes_metadata`	List of AxisMetadata.
`base_axes_metadata`	List of AxisMetadata of the base axes.
`base_shape`	Shape of the base axes.
`ensemble_axes_metadata`	Axes metadata describing the ensemble axes added to the waves when applying the transform.
`ensemble_shape`	The shape of the ensemble axes added to the waves when applying the transform.
`metadata`	Metadata added to the waves when applying the transform.
`shape`	Shape of the ensemble.
`to_cpu`	The measurements are copied to host memory.
`url`	The storage location of the measurement data.

angular_limits(waves)[source]#

The outer limits of the detected scattering angles in x and y [mrad] for the given waves.

Parameters: waves (BaseWaves) – The waves to derive the detector limits from.
Returns: limits
Return type: tuple of float

apply(array_object)#

Apply the transform to the given waves.

Parameters: array_object (ArrayObject) – The array object to transform.
Returns: transformed_array_object
Return type: ArrayObject

property axes_metadata: abtem.core.axes.AxesMetadataList#

List of AxisMetadata.

Return type: AxesMetadataList

property base_axes_metadata: list[abtem.core.axes.AxisMetadata]#

List of AxisMetadata of the base axes.

Return type: list[AxisMetadata]

property base_shape: tuple[int, ...]#

Shape of the base axes.

Return type: tuple[int, ...]

copy()#: Make a copy.

detect(waves)[source]#

Detect the given waves directly as complex waves.

Parameters: waves (Waves) – The waves to detect.
Returns: measurement
Return type: Waves

property ensemble_axes_metadata: list[abtem.core.axes.AxisMetadata]#

Axes metadata describing the ensemble axes added to the waves when applying the transform.

Return type: list[AxisMetadata]

ensemble_blocks(chunks=None)#

Split the ensemble into an array of smaller ensembles.

Parameters: chunks (iterable of tuples) – Block sizes along each dimension.
Return type: Array

property ensemble_shape: tuple[int, ...]#

The shape of the ensemble axes added to the waves when applying the transform.

Return type: tuple[int, ...]

generate_blocks(chunks=1)#

Generate chunks of the ensemble.

Parameters: chunks (iterable of tuples) – Block sizes along each dimension.

property metadata: dict#

Metadata added to the waves when applying the transform.

Return type: dict

select_block(index, chunks)#

Select a block from the ensemble.

Parameters

index (tuple of ints) – Index of selected block.
chunks (iterable of tuples) – Block sizes along each dimension.

property shape#: Shape of the ensemble.

property to_cpu#: The measurements are copied to host memory.

property url#: The storage location of the measurement data.