# PowderCalibrationOutput

The result of a powder-ring detector calibration - what rugnux --mode calibration writes as <prefix>.json, and what a calibration run over the image buffer would return.  dataset_settings holds the geometry and nothing else, under the property names this API gives them, so it can be POSTed or merged without translating a field. Its beam_x_pxl/beam_y_pxl is the PONI, the foot of the perpendicular from the sample; where the beam actually lands is calibration.direct_beam_x_pxl. The poni_rot*_rad are present whenever any of them is non-zero and absent when all are zero, since a body omitting them states a FLAT detector rather than an unstated one. 

## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**dataset_settings** | [**DatasetSettings**](DatasetSettings.md) |  | 
**calibration** | [**PowderCalibrationQuality**](PowderCalibrationQuality.md) |  | [optional] 
**jfjoch_version** | **str** | Version of the program that produced this | [optional] 

## Example

```python
from jfjoch_client.models.powder_calibration_output import PowderCalibrationOutput

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

# convert the object into a dict
powder_calibration_output_dict = powder_calibration_output_instance.to_dict()
# create an instance of PowderCalibrationOutput from a dict
powder_calibration_output_from_dict = PowderCalibrationOutput.from_dict(powder_calibration_output_dict)
```
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