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