activity
20242026
collaborators

11 papers

astro-ph.IM2026

The Array Control and Data Acquisition software of the Cherenkov Telescope Array Observatory

I. Oya, B. López, P. Aubert +61

The Cherenkov Telescope Array Observatory (CTAO) aims to advance knowledge of the gamma-ray sky as the largest gamma-ray observatory ever built. The CTAO will be deployed at two si…

cs.AI2026

Semantic Feature Segmentation for Interpretable Predictive Maintenance in Complex Systems

Emilio Mastriani, Alessandro Costa, Federico Incardona +2

Predictive maintenance in complex systems is often complicated by the heterogeneity and redundancy of monitored variables,which can obscure fault-relevant information and reduce mo…

astro-ph.HE2026

Chasing Gamma-Ray Signals from Binary Neutron Star Coalescences with the Cherenkov Telescope Array: Prospects and Observing Strategies

S. Abe, J. Abhir, A. Abhishek +457

The detection of gravitational waves (GWs) from a binary neutron star (BNS) merger by Advanced LIGO and Advanced Virgo (GW170817), together with its electromagnetic counterpart, th…

astro-ph.IM2026

Multivariate time-series forecasting of ASTRI-Horn monitoring data: A Normal Behavior Model

Federico Incardona, Alessandro Costa, Farida Farsian +8

This study presents a Normal Behavior Model (NBM) developed to forecast monitoring time-series data from the ASTRI-Horn Cherenkov telescope under normal operating conditions. The a…

astro-ph.IM2025

SERVIMON: AI-Driven Predictive Maintenance and Real-Time Monitoring for Astronomical Observatories

Emilio Mastriani, Alessandro Costa, Federico Incardona +2

Objective: ServiMon is designed to offer a scalable and intelligent pipeline for data collection and auditing to monitor distributed astronomical systems such as the ASTRI Mini-Arr…

cs.LG2025

Segmentation over Complexity: Evaluating Ensemble and Hybrid Approaches for Anomaly Detection in Industrial Time Series

Emilio Mastriani, Alessandro Costa, Federico Incardona +2

In this study, we investigate the effectiveness of advanced feature engineering and hybrid model architectures for anomaly detection in a multivariate industrial time series, focus…