Jungfraujoch/docs/python_client/docs/PowderCalibrationQuality.md

PowderCalibrationQuality

What a powder calibration knows about the geometry it produced. A calibration that has gone wrong - the wrong standard named, a header too far out for the rings to be found - looks exactly like one that has not until these are read.

Properties

Name	Type	Description	Notes
calibrant	str	The powder standard the rings were fitted to, or the unit cell given in its place	[optional]
method	str	How the rings were measured. rings fits the arcs of the run-summed (q x azimuth) azimuthal profile; spots fits the pooled per-image spot lists.	[optional]
ring_points	int	Ring measurements the fit used	[optional]
rms_radial_pxl	float	Scatter of those measurements about the fitted rings, as a radial distance [pixels]. The single number that separates a calibration that worked from one that did not.	[optional]
beam_sigma_pxl	float	Standard error the scatter implies on the beam centre [pixels], for a ring of that many points. See powder_calibration_fit_sigma for what the fit itself says, which is not the same and is the larger of the two whenever the tilt is poorly separated.	[optional]
direct_beam_x_pxl	float	Where the direct beam lands [pixels]. NOT dataset_settings.beam_x_pxl, which is the PONI: the two part company by distance*tan(tilt)/pixel as soon as the detector is tilted.	[optional]
direct_beam_y_pxl	float	Where the direct beam lands, y [pixels]	[optional]
header_distance_mm	float	The detector distance the input file declared, for comparison [mm]	[optional]
ring_seed_distance_mm	float	The distance measured from the ring radii before the fit ran [mm]. It is taken from the radii, the wavelength and the pixel size alone, so a large gap from header_distance_mm is the answer to the question the calibration was run to ask. Absent when the profile showed too few rings to fix a scale.	[optional]
tilt_refined	bool	Whether the reported rot1/rot2 were measured by this fit. False means they were declined and pinned at the input file's values, because the rings could not separate a tilt from a shift of the beam centre.	[optional]
tilt_significance	float	How many of its own sigmas the fitted tilt stands from zero. Below about 3 it is not a measurement of a tilt but of a beam-centre shift, and the tilt is declined. Passing does not certify a tilt: that estimator is limited by systematics rather than by this sigma.	[optional]
fit_sigma	PowderCalibrationFitSigma		[optional]
spot_cross_check	PowderCalibrationSpotCheck		[optional]

Example

from jfjoch_client.models.powder_calibration_quality import PowderCalibrationQuality

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

# convert the object into a dict
powder_calibration_quality_dict = powder_calibration_quality_instance.to_dict()
# create an instance of PowderCalibrationQuality from a dict
powder_calibration_quality_from_dict = PowderCalibrationQuality.from_dict(powder_calibration_quality_dict)

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