Species

- Support for BT-Dusty model spectra (`add_model('bt-dusty')`)
- Support for BT-Settl isochrones (`add_isochrones('bt-settl')`)
- The `integrate_spectrum` method is added to `ReadModel` for integrating the bolometric luminosity
- The `param_inc` and `object_type` parameters are added to the `plot_posterior` function
- Several enhancements for handling calibration spectra
- Some code maintenance and improvements in the documentation and tutorials

- Several enhancements with the isochrone functionalities
- Support for Sonora Bobcat isochrones (`add_isochrones('sonora')`)
- Use of the `parallax` parameter in addition to `distance` (e.g. in `add_object`, `add_companion`, `SyntheticPhotometry`)
- The analysis routines (e.g. `FitModel`, `EmissionLine`, `AtmosphericRetrieval`) use by default the parallax as free parameter with a Gaussian prior
- Removed the `run_mcmc` (i.e. using `emcee`) method in `FitModel`, because it was no longer maintained and it is recommended to use the nested sampling routines
- Support for Koester white dwarf spectra (for calibration purpose)
- Options for retrieving parametrized cloud opacities with `AtmosphericRetrieval`
- Included the `interp_method` parameter in the configuration file for setting the method for the grid interpolation
- Improvements with the labels in various plots and the font style
- Many minor enhancements, maintenance, and updated tutorials and documentation

- Fixed issue with the prior of `distance` when using `FitModel.run_ultranest`
- Enhancement with the integrated autocorrelation time that is calculated in `Database.add_samples`
- The `plot_filename` parameters in `EmissionLine` can be set to `None` to show instead of save a plot
- The default `zorder` is only added to the `plot_kwargs` dictionaries in `plot_spectrum` if not already included
- Updated notebook tutorials
- Style improvements and minor maintenance
- Updated `setup.py`

- Framework for free retrievals with `petitRADTRANS` in the `AtmosphericRetrieval` class
- Notebook tutorials for free retrievals and reading companion data
- Changed the `co` parameter to `c_o_ratio`
- Added `list_filters` method to `ReadObject`
- Support for fitting blended stars/companions with `FitModel`
- Photometric error inflation per instrument
- Added `synthetic_photometry` method to `ModelBox`
- Possibility to show a plot instead of writing to a file
- Refactoring of `add_model`
- Support for Sonora model spectra
- Added `available_models` to `Database` for details about the atmospheric models
- Added reduced chi2 calculation to `get_residuals`
- Added `get_evidence` method to `Database`
- Added support for Python 3.10 and removed support for Python 3.7
- Updated documentation, docstrings, and dependency versions
- Many small new features, enhancements, and bug fixes!

- T/Y spectra from Morley et al. (2012)
- Libraries with empirical low-gravity spectra
- Companions spectra in `data.companions`
- Improvements in comparison tools for spectra
- Some additional parameters and minor functionalities
- Code maintenance and a few minor bug fixes
- Dropped support for Python 3.6 and added support for Python 3.9
- Changed CI from Travis to Github Actions

- Functionalities for the analysis of emission lines (see `EmissionLine` and the notebook tutorial).
- Update in `data.filters` to comply with the change on the SVO website regarding the detector type.
- The `wavel_resample` parameter was added to `Database.get_mcmc_spectra` and `ReadPlanck.get_spectrum`.
- The `phot_type` parameter was added to `Database.get_mcmc_photometry`.
- The `smooth_spectrum` and `resample_spectrum` methods were added to `ModelBox`.
- The `read_util.gaussian_spectrum` function was added.
- Stellar and companion properties were added to `data.companions`.
- Functionalities for comparing a spectrum with a grid of model spectra (see `CompareSpectra.compare_model`, `Database.get_compare_sample`, and `plot_grid_statistic`).
- Some refactoring in `ReadModel` for improved readability.
- A number of smaller improvements to the code and documentation.