SpotFindingSettings

Properties

Name

Type

Description

Notes

enable

bool

Enable spot finding. This is temporary setting, i.e. can be changed anytime during data collection. Even if disabled spot finding information will still be send and written, though always with zero spots.

[default to True]

indexing

bool

Enable indexing. This is temporary setting, i.e. can be changed anytime during data collection.

[default to True]

signal_to_noise_threshold

float

photon_count_threshold

int

min_pix_per_spot

int

max_pix_per_spot

int

high_resolution_limit

float

High resolution limit for spot finding [Angstrom]

low_resolution_limit

float

Low resolution limit for spot finding [Angstrom]

high_resolution_limit_for_spot_count_low_res

float

High resolution threshold to consider spot "low resolution" [Angstrom]

resolution_estimate

bool

Diffraction image resolution estimation using ML model from SSRL; `jfjoch_broker` must be compiled with libtorch support and path to .pt file configured in `jfjoch_broker` configuration file. If enabled it will likely reduce performance of Jungfraujoch to below 100 Hz. (experimental feature)

[optional] [default to True]

quick_integration

bool

Quick integration of Bragg spots in diffraction images. If enabled it will likely reduce performance of Jungfraujoch for datasets with a very high indexing rate. (experimental feature)

[default to False]

Example

from jfjoch_client.models.spot_finding_settings import SpotFindingSettings

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

# convert the object into a dict
spot_finding_settings_dict = spot_finding_settings_instance.to_dict()
# create an instance of SpotFindingSettings from a dict
spot_finding_settings_from_dict = SpotFindingSettings.from_dict(spot_finding_settings_dict)

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