Merge pull request #14 from tobias-liaudat/outliers

Reame modifs

Author: tobias-liaudat

.DS_Store

@@ -141,3 +141,21 @@ of the ```recover_MCCD_PSFs()``` function for more information.
 
 Some notebook examples can be found
 [here](https://github.com/CosmoStat/mccd/tree/master/notebooks).
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+## Changelog
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+- Added new module for realisitic simulations ```dataset_generation.py```. It is capable of simulating realistic simulations from the UNIONS/CFIS survey, including realistic atmospherical simulations following a realisation of a Von Kármán model. See the above-mentioned module documentation for more information. See also the ```testing-realistic-data.ipynb``` in the notebook folder for an example. 
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+- Added outlier rejection based on a pixel residual criterion. The main parameters, ```RMSE_THRESH``` and ```CCD_STAR_THRESH``` can be found in the MCCD config file. See then parameter documentation for more information.
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+- For usage inside shape measurement pipelines: new PSF interpolation function included in the MCCD model ```interpolate_psf_pipeline()```. This function allows to output interpolated PSFs with a specific centroid.
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+- New handling of position polynomials, local as well as global polynomials. Increased model performance.
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+- New functionalities added. Handling of the max polynomial degree in the local hybrid model by the ```D_HYB_LOC```. Also adding a parameter ```MIN_D_COMP_GLOB``` to remove lower polynomial degrees in the global polynomial model.
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+- Increased default number of iterations to have a better convergence in the PSF wings.
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+- Algorithm updates to increase performance: Dropping the normalisation proximal operator. Harder sparsity constraint for spatial variations. Forcing RBF interpolation for the global part. Skipping the last weight optimization so that we always finish with a features/components optimization.
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+- Set default denoising to zero as wavelet denoising (using starlets) introduce an important bias in the ellipticity estimates of the model.