class_sz I: Overview

Authors :: 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.
Publication Year :: 2023
Abstract: class_sz is a versatile and robust code in C and Python that can 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.<br />Comment: to appear in Proc. of the mm Universe 2023 conference, Grenoble (France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of conferences, EDP Sciences