Papers › class_sz I: Overview
class_sz I: Overview
B. Bolliet, A. Kusiak, F. McCarthy, A. Sabyr, K. Surrao, J. C. Hill, J. Chluba, S. Ferraro, B. Hadzhiyska, D. Han, J. F. Macías-Pérez, M. Madhavacheril, A. Maniyar, Y. Mehta, S. Pandey, E. Schaan, B. Sherwin, A. Spurio Mancini, Í. Zubeldia
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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.
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