Description
Motivated by demanding a fast algorithm of cosmic statistics to tackle extremely large data sets from ongoing and upcoming galaxy surveys, we make the first release of Hermes (HypER-speed MultirEsolution cosmic Statistics), an open-source parallel/GPU-accelerated Python package. The core algorithm implemented in the Hermes Python package is based on the MRA-CS (MultiResolution Analysis - Cosmic Statistics) scheme. This talk is to present a brief description of core algorithm of Hermes, demonstrate its performances and numerical tests，and give an outlook of its wide applications in extracting cosmological information in upcoming galaxy surveys.
