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.; Sifón, C.; von der Linden, A.; Wu, H.; Yoon, M.; Chisari, Elisa; Clowe, Douglas; Dell’Antonio, Ian

doi:10.1093/mnras/stab2764

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

Journal Article · 30 September 2021 · Monthly Notices of the Royal Astronomical Society

DOI: https://doi.org/10.1093/mnras/stab2764 · OSTI ID:1828970

Aguena, M.;

;

; Herbonnet, R.; Malz, A. I.; Penna-Lima, M.; Ricci, M.;

; Baumont, L.; Fan, H.; Fong, M.; Ho, M.;

; Payerne, C.; Boutigny, D.; Lee, B.; Liu, B.; McClintock, T.; Miyatake, H. more »

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 Time-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.

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Research Organization:: Stony Brook University, NY (United States); Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Organization:: National Science Foundation; USDOE

Contributing Organization:: The LSST Dark Energy Science Collaboration

Grant/Contract Number:: AC02-05CH11231; AC02-76SF00515; SC0010010; SC0018053; SC0019193

OSTI ID:: 1828970

Journal Information:: Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 4 Vol. 508; ISSN 0035-8711

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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79 ASTRONOMY AND ASTROPHYSICS
galaxies: clusters: general
gravitational lensing: weak
software: public release

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

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References (51)

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