WavesDetector

WavesDetector#

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

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.

Methods

`__init__`([gpts, to_cpu, url])
`angular_limits`(waves)	The outer limits of the detected scattering angles in x and y [mrad] for the given waves.
`apply`(waves[, max_batch])
`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.

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

property base_axes_metadata: list[AxisMetadata]#: List of AxisMetadata of the base axes.

copy()#

Make a copy.

detect(waves)[source]#

Detect the given waves directly as complex waves.

property ensemble_axes_metadata: list[AxisMetadata]#: Axes metadata describing the ensemble axes added to the waves when applying the transform.

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.

generate_blocks(chunks=1)#

Generate chunks of the ensemble.

Parameters:: chunks (iterable of tuples) – Block sizes along each dimension.
Return type:: Generator[tuple[tuple[int, ...], tuple[slice, ...], ndarray], None, None]

property metadata: dict#: Metadata added to the waves when applying the transform.