33 lines
1.8 KiB
Plaintext
33 lines
1.8 KiB
Plaintext
# 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)
|
|
```
|
|
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
|
|
|
|
|