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.
Cite
@article{arxiv.2310.18482,
title = {class_sz I: Overview},
author = {B. Bolliet and A. Kusiak and F. McCarthy and A. Sabyr and K. Surrao and J. C. Hill and J. Chluba and S. Ferraro and B. Hadzhiyska and D. Han and J. F. Macías-Pérez and M. Madhavacheril and A. Maniyar and Y. Mehta and S. Pandey and E. Schaan and B. Sherwin and A. Spurio Mancini and Í. Zubeldia},
journal= {arXiv preprint arXiv:2310.18482},
year = {2023}
}
Comments
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