class_sz I: Overview Article Swipe

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Python (programming language) Class (philosophy) Computer science Observable Code (set theory) Programming language Physics Artificial intelligence Quantum mechanics Set (abstract data type)

Boris Bolliet , Aleksandra Kusiak , Fiona McCarthy , Alina Sabyr , Kristen M. Surrao , J. Colin Hill , Jens Chluba , Simone Ferraro , Boryana Hadzhiyska , Dongwon Han , J. F. Macías–Pérez , Mathew S. Madhavacheril , Abhishek S. Maniyar , Y. Mehta , Shivam Pandey , Emmanuel Schaan , Blake D. Sherwin , A. Spurio Mancini , Íñigo Zubeldía ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1051/epjconf/202429300008 · OA: W4393265843

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.