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# PowderCalibrationSpotCheck
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Where the circle through the found spots puts the beam, and how far that is from the geometry actually fitted. An independent cross-check: it reads nothing from the file's own geometry, so it holds where the summed azimuthal profile does not - a profile binned about a badly wrong centre shows each ring smeared across its sectors, and a fit on it converges on the wrong answer without saying so. Two methods sharing no assumption, so the disagreement is the statement. Absent when no spots were available.
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**beam_x_pxl** | **float** | Beam centre x the spots vote for [pixels] | [optional]
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**beam_y_pxl** | **float** | Beam centre y the spots vote for [pixels] | [optional]
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**detector_distance_mm** | **float** | Detector distance the spots imply [mm] | [optional]
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**disagreement_pxl** | **float** | Distance between the spots' beam centre and the fitted one [pixels] | [optional]
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## Example
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```python
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from jfjoch_client.models.powder_calibration_spot_check import PowderCalibrationSpotCheck
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# TODO update the JSON string below
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json = "{}"
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# create an instance of PowderCalibrationSpotCheck from a JSON string
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powder_calibration_spot_check_instance = PowderCalibrationSpotCheck.from_json(json)
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# print the JSON string representation of the object
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print(PowderCalibrationSpotCheck.to_json())
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# convert the object into a dict
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powder_calibration_spot_check_dict = powder_calibration_spot_check_instance.to_dict()
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# create an instance of PowderCalibrationSpotCheck from a dict
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powder_calibration_spot_check_from_dict = PowderCalibrationSpotCheck.from_dict(powder_calibration_spot_check_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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