GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)

TL;DR

GRANDlib is an open-source simulation pipeline that models the entire detection process of ultra-high-energy particles in the GRAND experiment, addressing computational challenges in simulating particle showers and data handling.

Contribution

It introduces GRANDlib, a comprehensive software tool for end-to-end simulation, visualization, and data management in the GRAND neutrino detection project.

Findings

Enables detailed end-to-end simulations of particle detection

Facilitates data visualization and storage for GRAND

Supports future analysis and optimization of GRAND detectors

Abstract

The operation of upcoming ultra-high-energy cosmic-ray, gamma-ray, and neutrino radio-detection experiments, like the Giant Radio Array for Neutrino Detection (GRAND), poses significant computational challenges involving the production of numerous simulations of particle showers and their detection, and a high data throughput. GRANDlib is an open-source software tool designed to meet these challenges. Its primary goal is to perform end-to-end simulations of the detector operation, from the interaction of ultra-high-energy particles, through -- by interfacing with external air-shower simulations -- the ensuing particle shower development and its radio emission, to its detection by antenna arrays and its processing by data-acquisition systems. Additionally, GRANDlib manages the visualization, storage, and retrieval of experimental and simulated data. We present an overview of GRANDlib to serve as the basis of future GRAND analyses.