Jungfraujoch/docs/python_client/docs/AzimIntSettings.md

# AzimIntSettings


## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**polarization_corr** | **bool** | Apply polarization correction for azimuthal integration (polarization factor must be configured in dataset settings) | [default to True]
**solid_angle_corr** | **bool** | Apply solid angle correction for azimuthal integration | [default to True]
**high_q_recip_a** | **float** | Upper q limit of the azimuthal integration [1/Angstrom]. Optional: if omitted, the integration (and the adaptive spot detection that shares these q bins) extends to the highest q the detector reaches.  | [optional] 
**low_q_recip_a** | **float** |  | 
**q_spacing** | **float** |  | 
**azimuthal_bins** | **int** | Numer of azimuthal (phi) bins; 1 = standard 1D azimuthal integration | [optional] [default to 1]
**force_cpu** | **bool** | Force CPU processing of azimuthal integration in the FPGA data acquisition workflow. This allows to extend number of azimuthal integration bins, as well as to calculate standard deviation of the azimuthal integration results.  | [optional] [default to False]

## Example

```python
from jfjoch_client.models.azim_int_settings import AzimIntSettings

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

# convert the object into a dict
azim_int_settings_dict = azim_int_settings_instance.to_dict()
# create an instance of AzimIntSettings from a dict
azim_int_settings_from_dict = AzimIntSettings.from_dict(azim_int_settings_dict)
```
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