Author:
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.
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.
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