Special

Latest version: v0.2.6

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0.1.2

- [Nested sampling: full compatibility added to ``ultranest`` sampler for inference of spectral model parameters](https://github.com/VChristiaens/special/commit/73f5d31f9e912934d31fa8db336ce1cb1a934d40)
- [Improved cropped model spectrum before resampling](https://github.com/VChristiaens/special/commit/8991b1789dc1c8f0265ff4d88dbd566e1792a385) - too conservative crop led to discarding a large fraction of template spectra in template fit
- [Improved behaviour for calculation of spectral indices on low spectral resolution spectra](https://github.com/VChristiaens/special/commit/570ba7288753544bd4fee422016f0a0191bc650b)
- [Updated tutorial with ultranest example and optimized template fitting](https://github.com/VChristiaens/special/commit/63be1a7c70d9c54b25b442b389503af99318d93d)
- [More accurate documentation](https://github.com/VChristiaens/special/commit/b5d15ff692ddeac0070ad61f1e420a8355493fb3)
- [Added JOSS draft + associated workflow for paper compilation](https://github.com/VChristiaens/special/commit/ff249478c889f65d7e1e171e2f092ab38d5560af)
- Version associated to the JOSS paper.

0.1.1

- `resample_model`: slightly updated behaviour when spectral resolution is provided to convolve the model spectrum - now considers that the input value is the average resolving power over the wavelength range probed by the instrument;
- `resample_model`: more conservative crop of the model spectrum before resampling - to avoid possible edge effects;
- Minimum version required for [exoplanet data challenge - phase 2](https://github.com/exoplanet-imaging-challenge/phase2).

0.1.0

- Updated all occurrences of instru_fwhm into instru_res (expected input for IFS data is now the spectral resolution, instead of the spectral FWHM in nm).
- Added the possibility to use the `ultranest` sampler.

0.0.5

- Moved the routine to combine specrtal correlation matrices into spec_corr.py
- Added new spectral indices
- Adapted the name and documentation of spectral indices routines to avoid confusion

0.0.4

- Better handling of NaN values in best-fit template search
- New and modified options for best-fit template search
- Negative spectral correlation set to 0
- Updated documentation

0.0.3

README reformatting + unique version submitted to pypi

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