CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology

Aguena, M.; Avestruz, C.; Combet, C.; Fu, S.; Herbonnet, R.; Malz, A. I.; Penna-Lima, M.; Ricci, M.; Vitenti, S. D. P.; Baumont, L.; Fan, H.; Fong, M.; Ho, M.; Kirby, M.; Payerne, C.; Boutigny, D.; Lee, B.; Liu, B.; McClintock, T.; Miyatake, H.; Sifon, C.; Linden, A. von der; Wu, H. und Yoon, M. (2021): CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology. In: Monthly Notices of the Royal Astronomical Society, Bd. 508, Nr. 4: S. 6092-6110

Abstract

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 stand-alone 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 Vera C. Rubin Legacy Survey of Space and lime-Dark Energy Science Collaboration (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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Physik
• Themengebiete: 500 Naturwissenschaften und Mathematik > 530 Physik
• ISSN: 0035-8711
• Sprache: Englisch