Jungfraujoch/docs/python_client/docs/DatasetSettings.md

DatasetSettings

Properties

Name	Type	Description	Notes
images_per_trigger	int	For standard synchrotron data collection - this is number of images collected per one TTL trigger For XFEL (pulsed source) - this number is ignored and set to 1 For storage cell mode - this number is ignored and set to number of storage cells	[optional] [default to 1]
ntrigger	int	Number of TTL trigger that the detector is expected to receive during data collection	[optional] [default to 1]
image_time_us	int	Image time. If not provided (or zero value) the frame time is assumed as default. For JUNGFRAU image time must be multiple of frame time and max value is 256 * frame_time. In XFEL mode: summation happens for frames collected with multiple triggers. Ignored for storage cells and if raw data are saved.	[optional]
beam_x_pxl	float	/entry/detector/beam_center_x in NXmx Beam center in X direction [pixels]
beam_y_pxl	float	/entry/detector/beam_center_y in NXmx Beam center in X direction [pixels]
detector_distance_mm	float	/entry/detector/distance in NXmx Detector distance [mm]
incident_energy_ke_v	float	Used to calculate /entry/beam/incident_wavelength in NXmx Incident particle (photon, electron) energy in keV
file_prefix	str	Prefix for filenames. If left empty, no file will be saved.	[optional] [default to '']
images_per_file	int	Number of files in a single HDF5 data file (0 = write all images to a single data file).	[optional] [default to 1000]
space_group_number	int	Number of space group for the crystal. Currently used solely as metadata, not relevant for image processing done in Jungfraujoch.	[optional]
sample_name	str	/entry/sample/name in NXmx Sample name	[optional] [default to '']
compression	str	Compression type for the images transferred over ZeroMQ and saved to HDF5 file.	[optional] [default to 'bslz4']
total_flux	float	/entry/beam/total_flux in NXmx Flux incident on beam plane in photons per second. In other words this is the flux integrated over area. [photons/s]	[optional]
transmission	float	/entry/instrument/attenuator/attenuator_transmission Transmission of attenuator (filter) [no units]	[optional]
goniometer	RotationAxis		[optional]
grid_scan	GridScan		[optional]
header_appendix	object	Header appendix, added as user_data/user to start ZeroMQ message (can be any valid JSON) In general, it is not saved in HDF5 file. However, if values are placed in "hdf5" object, `jfjoch_writer` will write them in /entry/data of the HDF5 file. This applies solely to string and number (double floating-point). No arrays/sub-objects is allowed. For example {"hdf5": {"val1":1, "val2":"xyz"}}, will write /entry/user/val1 and /entry/user/val2.	[optional]
image_appendix	object	Image appendix, added as user_data to image ZeroMQ message (can be any valid JSON) Not saved in HDF5 file	[optional]
data_reduction_factor_serialmx	float	Rate at which non-indexed images are accepted to be forwarded to writer. Value of 1.0 (default) means that all images are written. Values below zero mean that non-indexed images will be accepted with a given probability.	[optional] [default to 1.0]
pixel_value_low_threshold	int	Set all counts lower than the value to zero. When the value is set, negative numbers other than error pixel value are always set to zero. Setting to zero is equivalent to turning the option off.	[optional]
run_number	int	Number of run within an experimental session. Transferred over CBOR stream as "series ID", though not saved in HDF5 file. It is highly recommended to keep this number unique for each data collection during experimental series. If not provided, the number will be automatically incremented.	[optional]
run_name	str	Unique ID of run. Transferred over CBOR stream as "unique series ID", though not saved in HDF5 file. It is highly recommended to keep this name unique for each data collection during experimental series. If not provided, the name will be automatically generated as number + colon + file_prefix.	[optional]
experiment_group	str	Name of group owning the data (e.g. p-group or proposal number). Transferred over CBOR stream, though not saved in HDF5 file.	[optional]
poisson_compression	int	Enable lossy compression of pixel values that preserves Poisson statistics. Requires to provide a numerical factor SQ. Pixel value P will be transformed to round(sqrt(P) * SQ), with rounding to the closest integer. Compression is turned off if the value is missing or it is set to zero.	[optional]
write_nxmx_hdf5_master	bool	Write NXmx formatted HDF5 master file. Recommended to use for macromolecular crystallography experiments and to turn off for other experiments.	[optional] [default to True]
save_calibration	bool	Forward image calibration (at the moment pedestal and pedestal RMS for JUNGFRAU) using the ZeroMQ stream to writer. If parameter is not provided calibration will be saved only if more than 4 images are recorded.	[optional]
polarization_factor	float	Polarization factor for integration; 1.0 is horizontal polarization; -1.0 is vertical polarization	[optional]
ring_current_m_a	float	Ring current at the beginning of the data collection	[optional]
sample_temperature_k	float	Sample temperature in Kelvin	[optional]
poni_rot1_rad	float	PONI angle rot1 (see PyFAI documentation for details) in radians	[optional] [default to 0.0]
poni_rot2_rad	float	PONI angle rot2 (see PyFAI documentation for details) in radians	[optional] [default to 0.0]
poni_rot3_rad	float	PONI angle rot3 (see PyFAI documentation for details) in radians	[optional] [default to 0.0]
unit_cell	UnitCell		[optional]
spot_finding	bool	Enable spot finding and save spots	[optional] [default to True]
max_spot_count	int	Maximum number of spots that are saved/used for indexing; spots with highest intensity are selected	[optional] [default to 250]
detect_ice_rings	bool	Flag spots as ice rings and reduce their effect on indexing	[optional]
xray_fluorescence_spectrum	DatasetSettingsXrayFluorescenceSpectrum		[optional]

Example

from jfjoch_client.models.dataset_settings import DatasetSettings

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

# convert the object into a dict
dataset_settings_dict = dataset_settings_instance.to_dict()
# create an instance of DatasetSettings from a dict
dataset_settings_from_dict = DatasetSettings.from_dict(dataset_settings_dict)

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