The 35th annual conference on Astronomical Data Analysis Software & Systems 2025 in Görlitz, Germany

The GammaSky project aims to exploit artificial intelligence (AI) techniques on edge computers for the real-time data acquisition and processing of X- and gamma-ray high-energy phenomena like Gamma-Ray Bursts or Terrestrial Gamma-ray Flashes (TGFs). Its scientific objectives build upon the heritage of the ASI/AGILE space mission and the Gamma-Flash project, focusing on advancing onboard AI platforms suitable for future space applications. The project is currently under active development at the “O. Vittori” observatory, which is managed by the Institute of Atmospheric Sciences and Climate (ISAC) on Monte Cimone (Modena, Italy, 2165 m a.s.l.) to observe TGFs in a real environment. The experimental setup integrates a low-noise and fast-response Luxium Solutions SiPM scintillation detector, with a RedPitaya STEMlab 125-14 acquisition board. The RedPitaya provides 14-bit sampling at 125 MSps, exploiting FPGA oscilloscope capabilities and GPS-based absolute time tagging to ensure accurate event timing. Acquired waveforms are streamed to external processing devices via a dedicated C++ server application. The processing unit is a NVIDIA Jetson Orin Nano board, a low-power GPU platform capable of running traditional reconstruction algorithms and machine learning models. To support this, we are developing a C++ implementation of a Real-Time Analysis Data Processor (RTADP) framework, enabling the creation of modular data pipelines for AI-based signal reconstruction, event detection and analysis, bringing real-time AI data processing closer to operation. We implemented real-time monitoring through Telegraf for system metrics collection and an InfluxDB server for data collection, visualisation and alarms. GammaSky provides a testbed for deploying AI in constrained edge computing environments suitable for CubeSats and lunar exploration rovers needing to detect real-time phenomena. This approach can significantly improve the performance of high-energy phenomena analysis in both atmospheric and space-based contexts.