class_sz I: Overview

¹ Kavli Institute for Cosmology, University of Cambridge, Madingley Road, Cambridge CB3 OHA, UK
² DAMTP, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 OWA, UK
³ Center for Computational Astrophysics, Flatiron Institute, New York, NY 10010, USA
⁴ School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA
⁵ Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA
⁶ Berkeley Center for Cosmological Physics, Department of Physics, University of California, Berkeley, CA 94720, USA
⁷ Laboratoire de Physique Subatomique et de Cosmologie, Universite Grenoble-Alpes, CNRS/IN2P3, 53, avenue des Martyrs, 38026 Grenoble cedex, France
⁸ Jodrell Bank Centre for Astrophysics, Alan Turing Building, University of Manchester, Manchester M13 9PL, UK
⁹ Department of Physics, Columbia University, New York, NY 10027, USA
¹⁰ SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo Park, California 94025, USA
¹¹ Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 OHA, UK
¹² Mullard Space Science Laboratory, University College London, Dorking, RH5 6NT, UK
¹³ Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104, USA

Published online: 28 March 2024

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.