Jungfraujoch/docs/python_client/docs/IndexingSettings.md

IndexingSettings

Settings for crystallography indexing

Properties

Name	Type	Description	Notes
algorithm	IndexingAlgorithm		[default to IndexingAlgorithm.FFBIDX]
fft_max_unit_cell_a	float	Largest unit cell to be indexed by FFT algorithm; parameter value affects execution time of FFT	[default to 250]
fft_min_unit_cell_a	float	Smallest unit cell to be indexed by FFT algorithm; parameter value affects execution time of FFT	[default to 10.0]
fft_high_resolution_a	float	Highest resolution of spots used for FFT algorithm; parameter value affects execution time of FFT. There is also correlation between smallest unit cell and max resolution, which need to be checked for very small systems.	[default to 2.0]
fft_num_vectors	int	Number of search directions for the FFT algorithm; parameter value affects execution time of FFT.	[default to 16384]
tolerance	float	Acceptance tolerance for spots after the indexing run - the larger the number, the more spots will be accepted
thread_count	int	Thread count for indexing algorithm
geom_refinement_algorithm	GeomRefinementAlgorithm
unit_cell_dist_tolerance	float	Relative distance tolerance for unit cell vs. reference; Lattices outside given tolerance will be ignored	[default to 0.05]
viable_cell_min_spots	int	Minimum number of indexed spots required for a cell to be considered viable	[default to 10]
index_ice_rings	bool	Include spots marked as ice rings in the indexing run. If `dataset_settings` doesn't have `detect_ice_rings` on, this option will have no effect on processing.	[default to False]
rotation_indexing	bool		[default to False]
rotation_indexing_min_angular_range_deg	float		[default to 20.0]
rotation_indexing_angular_stride_deg	float		[default to 0.5]

Example

from jfjoch_client.models.indexing_settings import IndexingSettings

# TODO update the JSON string below
json = "{}"
# create an instance of IndexingSettings from a JSON string
indexing_settings_instance = IndexingSettings.from_json(json)
# print the JSON string representation of the object
print(IndexingSettings.to_json())

# convert the object into a dict
indexing_settings_dict = indexing_settings_instance.to_dict()
# create an instance of IndexingSettings from a dict
indexing_settings_from_dict = IndexingSettings.from_dict(indexing_settings_dict)

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