- predicting cluster abundance (binned/unbinned & mass/mass proxy): [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/CL_COUNT_class_cluster_abundance.py) (tests [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/Numerical_validation_class_likelihood_MZ.ipynb) and [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/Numerical_validation_class_likelihood_ProxyZ.ipynb)) - modelling mass-proxy: [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/CL_COUNT_modeling_richness.py) - predicting sample covariance matrix: [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/CL_COUNT_class_cluster_abundance.py) (tests [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/Numerical_validation_class_likelihood.ipynb)) - likelihoods: [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/CL_COUNT_class_likelihood.py) (tests[ here](https://github.com/payerne/DC2Analysis/blob/main/modeling/Numerical_validation_class_likelihood.ipynb)) - fisher forecasts: [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/DATAOPS_Fisher_matrix.py) (tests [here](url)) - fisher forecasts for cluster count cosmology: [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/CL_COUNT_Fisher_Matrix.py) (tests [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/Validation_class_Fisher_Matrix_for_Cluster_Abundance.ipynb)) - estimation of cluster count covariance matrix: [here](https://github.com/payerne/DC2Analysis/blob/main/modeling/CL_COUNT_DATAOPS_cluster_abundance_covariance.py)