A Python-based Software Stack for the LEGEND Experiment

Abstract

The LEGEND experiment is designed to search for the lepton-number-violating neutrinoless double beta decay of 76Ge. The collaboration has selected Python as main programming language of its open source primary software stack, employed in decoding digitizer data and up to the most high-level analysis routines. Numba-based hardware acceleration of digital signal processing algorithms is provided through a package of potentially great interest for digitized data stream analyses. Moreover, the framework can be of general interest for any kind of tier-based analysis flow, with customizable chains of algorithms (kernels) defined through JSON configuration files. The LEGEND file format is HDF5-based, to ensure compliance with FAIR data principles. Modern development practices on packaging, style checking, CI/CD and documentation have been adopted. In this talk, I will present an overview of the LEGEND software stack and discuss its role within the PyHEP community