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 masses of clusters of galaxies. CLMM is designed
as a standalone toolkit of building blocks to enable end-to-end analysis
pipeline 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 flexible,
easy-to-install and easy-to-use interface for both weak lensing simulators and
observers and can be applied to real and mock data to study the systematics
affecting weak lensing mass reconstruction. At the core of CLMM are routines to
model the weak lensing shear signal given the underlying mass distribution of
galaxy clusters and a set of data operations to prepare the corresponding data
vectors. The theoretical predictions 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 clusters as demonstrated in a suite of example Jupyter
Notebooks shipped with the software and also available in the extensive online
documentation.
