```{include} /../core/calibration/circe.md
```

As explained in [](#calibration_intro), CIRCE is not a strict calibration method, its logic differs from the standard framework (see {{metho}} for details). For this reason, it does not inherit from the `TCalibration` class (and therefore does not provide the common calibration methods presented in [](#calibration_classes_functions_observations_calibration_classes)). Instead, it has its own dedicated structure, implemented in {{uranie}} through the `TCirce` class.

The usage of the `TCirce` class can be summarised in a few key steps:

1. Prepare the data and the model:
   - Specify the experimental dataserver;
   - Construct the `TCirce` object by specifying the experimental attribute, the code attribute, and the sensitivity attributes (see [](#calibration_circe_tcirce)).

2. Set the algorithm properties:
   - Initialise the algorithm;
   - Define optional behaviours (see [](#calibration_circe_properties)).

3. Perform the estimate:
   - Run the estimate process (see [](#calibration_circe_run)).

4. Perform post-processing:
   - Extract the results for post-treatment (see [](#calibration_circe_results)).

```{toctree}
circe/tcirce.md
circe/setters.md
circe/run.md
circe/getters.md
```

An example is also provided in the use-case section (see [](#use_cases_macro_calibration_circe)).