Aberrations#
- class abtem.transfer.Aberrations(aberration_coefficients=None, energy=None, extent=None, gpts=None, sampling=None, **kwargs)[source]#
Bases:
BaseTransferFunction,_HasAberrationsPhase aberrations.
- Parameters:
aberration_coefficients (dict, optional) – Mapping from aberration symbols to their corresponding values. All aberration magnitudes should be given in [Å] and angles should be given in [radian].
energy (float, optional) – Electron energy [eV]. If not provided, inferred from the wave functions.
extent (float or two float, optional) – Lateral extent of wave functions [Å] in x and y directions. If a single float is given, both are set equal.
gpts (two ints, optional) – Number of grid points describing the wave functions.
sampling (two float, optional) – Lateral sampling of wave functions [1/Å]. If ‘gpts’ is also given, will be ignored.
kwargs (dict, optional) – Optionally provide the aberration coefficients as keyword arguments.
- __init__(aberration_coefficients=None, energy=None, extent=None, gpts=None, sampling=None, **kwargs)[source]#
Methods
__init__([aberration_coefficients, energy, ...])apply(waves)Apply the transform to the given waves.
copy()Make a copy.
ensemble_blocks([chunks])Split the ensemble into an array of smaller ensembles.
generate_blocks([chunks])Generate chunks of the ensemble.
match_grid(other[, check_match])Match the grid to another object with a Grid.
select_block(index, chunks)Select a block from the ensemble.
set_aberrations(aberration_coefficients)Set the phase of the phase aberration.
show(**kwargs)to_diffraction_patterns([max_angle, gpts])Converts the transfer function instance to DiffractionPatterns.
Attributes
C10C12C21C23C30C32C34C41C43C45C5C50C52C54C56CsThe aberration coefficients as a dictionary.
Accelerator object describing the acceleration energy.
The sampling in scattering angles of the transfer function [mrad].
astigmatismastigmatism_angleList of AxisMetadata.
List of AxisMetadata of the base axes.
Shape of the base axes.
comacoma_angleThe defocus [Å].
distributionsElectron acceleration energy in electron volts.
Axes metadata describing the ensemble axes added to the waves when applying the transform.
The shape of the ensemble axes added to the waves when applying the transform.
Extent of grid for each dimension in Ångstrom.
Number of grid points for each dimension.
Simulation grid.
The array representing the waves may be modified in-place.
Metadata added to the waves when applying the transform.
phi12phi21phi23phi32phi34phi41phi43phi45phi52phi54phi56Reciprocal-space sampling in reciprocal Ångstrom.
Grid sampling for each dimension in Ångstrom per grid point.
Shape of the ensemble.
Relativistic wavelength in Ångstrom.
- property aberration_coefficients: dict[str, float | BaseDistribution]#
The aberration coefficients as a dictionary.
- property accelerator: Accelerator#
Accelerator object describing the acceleration energy.
- property angular_sampling: tuple[float, float]#
The sampling in scattering angles of the transfer function [mrad].
- apply(waves)#
Apply the transform to the given waves.
- Parameters:
array_object (ArrayObject) – The array object to transform.
- Returns:
transformed_array_object
- Return type:
- property axes_metadata: AxesMetadataList#
List of AxisMetadata.
- property base_axes_metadata: list[AxisMetadata]#
List of AxisMetadata of the base axes.
- property base_shape: tuple[int, ...]#
Shape of the base axes.
- copy()#
Make a copy.
- property defocus: float | BaseDistribution#
The defocus [Å].
- property energy#
Electron acceleration energy in electron volts.
- property ensemble_axes_metadata#
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#
The shape of the ensemble axes added to the waves when applying the transform.
- property extent: tuple[float] | tuple[float, float] | tuple[float, ...]#
Extent of grid for each dimension in Ångstrom.
- generate_blocks(chunks=1)#
Generate chunks of the ensemble.
- Parameters:
chunks (iterable of tuples) – Block sizes along each dimension.
- property gpts: tuple[int] | tuple[int, int] | tuple[int, ...]#
Number of grid points for each dimension.
- property grid: Grid#
Simulation grid.
- property in_place: bool#
The array representing the waves may be modified in-place.
- match_grid(other, check_match=False)#
Match the grid to another object with a Grid.
- property metadata: dict#
Metadata added to the waves when applying the transform.
- property reciprocal_space_sampling: tuple[float] | tuple[float, float] | tuple[float, ...]#
Reciprocal-space sampling in reciprocal Ångstrom.
- property sampling: tuple[float] | tuple[float, float] | tuple[float, ...]#
Grid sampling for each dimension in Ångstrom per grid point.
- 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.
- set_aberrations(aberration_coefficients)#
Set the phase of the phase aberration.
- Parameters:
aberration_coefficients (dict) – Mapping from aberration symbols to their corresponding values.
- property shape#
Shape of the ensemble.
- to_diffraction_patterns(max_angle=None, gpts=None)#
Converts the transfer function instance to DiffractionPatterns.
- Parameters:
max_angle (float, optional) – The maximum diffraction angle in radians. If not provided, the maximum angle will be determined based on the self._max_semiangle_cutoff attribute of the instance. If neither max_angle nor self._max_semiangle_cutoff is available, a RuntimeError will be raised.
gpts (int | tuple[int, int], optional) – The number of grid points in reciprocal space for performing Fourier Transform. If not provided, a default value of 128 will be used.
- Returns:
The diffraction patterns obtained from the conversion.
- Return type:
- property wavelength#
Relativistic wavelength in Ångstrom.