EPJ Web of Conferences (Jan 2024)
class_sz I: Overview
- Bolliet B.,
- Kusiak A.,
- McCarthy F.,
- Sabyr A.,
- Surrao K.,
- Hill J.C.,
- Chluba J.,
- Ferraro S.,
- Hadzhiyska B.,
- Han D.,
- Macías-Pérez J.F.,
- Madhavacheril M.,
- Maniyar A.,
- Mehta Y.,
- Pandey S.,
- Schaan E.,
- Sherwin B.,
- Mancini A. Spurio,
- Zubeldia Í.
Affiliations
- Bolliet B.
- Kavli Institute for Cosmology, University of Cambridge
- Kusiak A.
- Department of Physics, Columbia University
- McCarthy F.
- Kavli Institute for Cosmology, University of Cambridge
- Sabyr A.
- Department of Physics, Columbia University
- Surrao K.
- Department of Physics, Columbia University
- Hill J.C.
- Center for Computational Astrophysics, Flatiron Institute
- Chluba J.
- Jodrell Bank Centre for Astrophysics, Alan Turing Building, University of Manchester
- Ferraro S.
- Lawrence Berkeley National Laboratory
- Hadzhiyska B.
- Berkeley Center for Cosmological Physics, Department of Physics, University of California
- Han D.
- Kavli Institute for Cosmology, University of Cambridge
- Macías-Pérez J.F.
- Laboratoire de Physique Subatomique et de Cosmologie, Universite Grenoble-Alpes, CNRS/IN2P3
- Madhavacheril M.
- Department of Physics and Astronomy, University of Pennsylvania
- Maniyar A.
- SLAC National Accelerator Laboratory
- Mehta Y.
- School of Earth and Space Exploration, Arizona State University
- Pandey S.
- Department of Physics, Columbia University
- Schaan E.
- SLAC National Accelerator Laboratory
- Sherwin B.
- Kavli Institute for Cosmology, University of Cambridge
- Mancini A. Spurio
- Mullard Space Science Laboratory, University College London
- Zubeldia Í.
- Kavli Institute for Cosmology, University of Cambridge
- DOI
- https://doi.org/10.1051/epjconf/202429300008
- Journal volume & issue
-
Vol. 293
p. 00008
Abstract
class_sz is a versatile, robust and efficient code, in C and Python, optimized to compute theoretical predictions for a wide range of observables relevant to cross-survey science in the Stage IV era. The code is public at https://github.com/CLASS-SZ/class_sz along with a series of tutorial notebooks (https://github.com/CLASS-SZ/notebooks). It will be presented in full detail in paper II. Here we give a brief overview of key features and usage.
