# IndexingSettings

Settings for crystallography indexing

## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**algorithm** | [**IndexingAlgorithm**](IndexingAlgorithm.md) |  | [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**](GeomRefinementAlgorithm.md) |  | 
**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]

## Example

```python
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)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)