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Jungfraujoch/python-client/docs/DetectorSettings.md
2024-10-11 11:11:37 +02:00

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# DetectorSettings
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**frame_time_us** | **int** | Interval between consecutive frames. |
**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** | | [optional] [default to 1]
**detector_trigger_delay_ns** | **int** | Delay between TTL trigger and acquisition start [ns] | [optional] [default to 0]
**timing** | [**DetectorTiming**](DetectorTiming.md) | | [optional] [default to DetectorTiming.TRIGGER]
**eiger_threshold_ke_v** | **float** | | [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_g0_rms_limit** | **int** | Pixels with pedestal G0 RMS above the threshold are marked as masked pixels | [optional] [default to 100]
**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
```python
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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