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Jungfraujoch/docs/python_client/docs/IndexingSettings.md
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release: 1.0.0-rc.166
The changelog entry for this release is six lines, not the fifty-four the
development log had accumulated: what a user of rc.166 gets is native miniCBF
input, masters from other facilities opening, the beam centre measured on every
run, a 2theta-swung detector placed where the file says, the unmerged MTZ and a
P1 merge written by default, and a substantially reworked symmetry
determination. The per-change detail is in the commits.

update_version.sh regenerates the three clients from broker/jfjoch_api.yaml, so
this also carries the one API description that had drifted from the generated
code - fft_high_resolution_A, which sizes the FFT's projection histogram and
does not filter spots by resolution. Everything else in the regenerated tree is
the version string.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EFEJG6WBQv8th4UJFNe53N
2026-08-31 09:11:22 +02:00

45 lines
3.3 KiB
Markdown

# 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** | Sets how finely the FFT samples each search direction: it fixes the extent of the projection histogram, and with it the transform size, so it affects execution time and memory of FFT. It does NOT filter spots - every spot is projected whatever its resolution, so raising it does not make the transform see a coarser subset of the data. There is also correlation between smallest unit cell and this value, 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 &#x60;dataset_settings&#x60; doesn&#39;t have &#x60;detect_ice_rings&#x60; 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]
**blocking** | **bool** | Indexing in Jungfraujoch goes with a dedicated thread pool. If set to false, the thread pool is non-blocking, i.e. if there are no threads available, image indexing will be skipped. This option is recommended for real-time processing at high frame rates. If set to true, the thread pool will block until a thread is available. | [default to True]
## 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)
```
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