CLMM: a LSST-DESC Cluster weak Lensing Mass Modeling library for cosmology

We present the v1.0 release of CLMM, an open source Python library for the estimation of the weak lensing massesof clusters of galaxies. CLMM is designed as a standalone toolkit of building blocks to enable end-to-end analysispipeline validation for upcoming cluster cosmology analyses such as the ones that will be performed by the LSST-DESC. Its purpose is to serve as a exible, easy-to-install and easy-to-use interface for both weak lensing simulatorsand observers and can be applied to real and mock data to study the systematics aecting weak lensing massreconstruction. At the core of CLMM are routines to model the weak lensing shear signal given the underlying massdistribution of galaxy clusters and a set of data operations to prepare the corresponding data vectors. The theoreticalpredictions rely on existing software, used as backends in the code, that have been thoroughly tested and cross-checked. Combined, theoretical predictions and data can be used to constrain the mass distribution of galaxy clustersas demonstrated in a suite of example Jupyter Notebooks shipped with the software and also available in the extensiveonline documentation.