Jungfraujoch/docs/python_client/docs/RugnuxLiveStills.md

RugnuxLiveStills

Serial frames converted by the FPGA and analysed on the GPU: the pre-pass on the first images (the beam centre, distance and mask the whole collection is analysed with), and the analysis since.

Properties

Name	Type	Description	Notes
prepass	str	Holding the first images, running on them, or done (Failed - the stated geometry and mask are used)
images_held	int	Images held for the pre-pass
images_needed	int	Images the pre-pass runs on
prepass_s	float	How long the pre-pass took	[optional]
file_beam_x_pxl	float
file_beam_y_pxl	float
file_distance_mm	float
beam_x_pxl	float	Beam centre the pre-pass decided (where the beam lands)	[optional]
beam_y_pxl	float		[optional]
distance_mm	float	Detector distance the pre-pass decided	[optional]
shadow_pixels	int	Pixels masked as the beam-stop shadow	[optional]
bad_pixels	int	Pixels masked as defective (hot, dead, error value)	[optional]
images_analysed	int
images_indexed	int
analysis_rate_hz	float	Images analysed per second since the pre-pass	[optional]

Example

from jfjoch_client.models.rugnux_live_stills import RugnuxLiveStills

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

# convert the object into a dict
rugnux_live_stills_dict = rugnux_live_stills_instance.to_dict()
# create an instance of RugnuxLiveStills from a dict
rugnux_live_stills_from_dict = RugnuxLiveStills.from_dict(rugnux_live_stills_dict)

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