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Jungfraujoch/docs/python_client/docs/DetectorSettings.md
2024-12-05 16:41:04 +01:00

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DetectorSettings

Properties

Name Type Description Notes
frame_time_us int Interval between consecutive frames. This is internal frame time for the JUNGFRAU detector, image time has to be integer multiply of this number. For EIGER detector this is default frame time, not used otherwise
count_time_us int Integration time of the detector. If not provided count time will be set to maximum value for a given frame time. [optional]
internal_frame_generator bool Use internal frame generator in FPGA instead of getting data from a real detector [optional] [default to False]
internal_frame_generator_images int Number of images stored in the internal frame generator. [optional] [default to 1]
detector_trigger_delay_ns int Delay between TTL trigger and acquisition start [ns] [optional] [default to 0]
timing DetectorTiming [optional] [default to DetectorTiming.TRIGGER]
eiger_threshold_ke_v float Threshold for the EIGER detector. If value is provided, it will be used for all subsequent acquisitions, irrespective of beam energy. If value is not provided, threshold will be determined on start of acquisition as half of incident energy. This might lead to increased start time. [optional]
eiger_bit_depth int Bit depth of EIGER read-out. If value is not provided bit depth is adjusted automatically based on the image time. [optional]
jungfrau_pedestal_g0_frames int [optional] [default to 2000]
jungfrau_pedestal_g1_frames int [optional] [default to 300]
jungfrau_pedestal_g2_frames int [optional] [default to 300]
jungfrau_pedestal_min_image_count int Minimum number of collected images for pedestal to consider it viable [optional] [default to 128]
jungfrau_storage_cell_count int [optional] [default to 1]
jungfrau_storage_cell_delay_ns int Delay between two storage cells [ns] [optional] [default to 5000]
jungfrau_fixed_gain_g1 bool Fix gain to G1 (can be useful for storage cells) [optional] [default to False]
jungfrau_use_gain_hg0 bool Use high G0 (for low energy applications) [optional] [default to False]

Example

from jfjoch_client.models.detector_settings import DetectorSettings

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

# convert the object into a dict
detector_settings_dict = detector_settings_instance.to_dict()
# create an instance of DetectorSettings from a dict
detector_settings_from_dict = DetectorSettings.from_dict(detector_settings_dict)

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