activity
20212026
most citedSensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants

22 citations · 98 across the 26 of their papers we have counts for

collaborators

27 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…

cs.LG2025

Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble

Emilio Mastriani, Alessandro Costa, Federico Incardona +2

Concerning machine learning, segmentation models can identify state changes within time series, facilitating the detection of transitions between normal and anomalous conditions. S…

astro-ph.HE2025

Enhancing CTAO Monitoring and Alarm Subsystems in Distributed Environments Using ServiMon

Kevin Munari, Alessandro Costa, Federico Incardona +4

ServiMon is a scalable data collection and auditing pipeline designed for service-oriented, cost-efficient quality control in distributed environments, including the CTAO monitorin…

astro-ph.HE2025★ 3 cited

Prospects for dark matter observations in dwarf spheroidal galaxies with the Cherenkov Telescope Array Observatory

K. Abe, S. Abe, J. Abhir +491

The dwarf spheroidal galaxies (dSphs) orbiting the Milky Way are widely regarded as systems supported by velocity dispersion against self-gravity, and as prime targets for the sear…

cs.LG2024★ 1 cited

Predictive Maintenance Study for High-Pressure Industrial Compressors: Hybrid Clustering Models

Alessandro Costa, Emilio Mastriani, Federico Incardona +2

This study introduces a predictive maintenance strategy for high pressure industrial compressors using sensor data and features derived from unsupervised clustering integrated into…

astro-ph.IM2024

Revealing Predictive Maintenance Strategies from Comprehensive Data Analysis of ASTRI-Horn Historical Monitoring Data

Federico Incardona, Alessandro Costa, Giuseppe Leto +4

Modern telescope facilities generate data from various sources, including sensors, weather stations, LiDARs, and FRAMs. Sophisticated software architectures using the Internet of T…

astro-ph.HE2024★ 7 cited

Galactic transient sources with the Cherenkov Telescope Array Observatory

Cherenkov Telescope Array Observatory Consortium

A wide variety of Galactic sources show transient emission at soft and hard X-ray energies: low- and high-mass X-ray binaries containing compact objects, isolated neutron stars exh…

hep-ph2024★ 18 cited

Dark Matter Line Searches with the Cherenkov Telescope Array

S. Abe, J. Abhir, A. Abhishek +562

Monochromatic gamma-ray signals constitute a potential smoking gun signature for annihilating or decaying dark matter particles that could relatively easily be distinguished from a…

astro-ph.HE2023

Chasing Gravitational Waves with the Cherenkov Telescope Array

Jarred Gershon Green, Alessandro Carosi, Lara Nava +563

The detection of gravitational waves from a binary neutron star merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts…

astro-ph.HE2023★ 14 cited

Prospects for a survey of the Galactic plane with the Cherenkov Telescope Array

CTA Consortium

Approximately one hundred sources of very-high-energy (VHE) gamma rays are known in the Milky Way. A survey of the entire Galactic Plane in the energy range from a few tens of GeV…

astro-ph.IM2023★ 1 cited

Interpolation of Instrument Response Functions for the Cherenkov Telescope Array in the Context of pyirf

Rune Michael Dominik, Maximilian Linhoff, Julian Sitarek

The Cherenkov Telescope Array (CTA) will be the next generation ground-based very-high-energy gamma-ray observatory, constituted by tens of Imaging Atmospheric Cherenkov Telescopes…

astro-ph.HE2023

Variability studies of active galactic nuclei from the long-term monitoring program with the Cherenkov Telescope Array

Guillaume Grolleron, Josefa Becerra González, Jonathan Biteau +13

Blazars are active galactic nuclei (AGN) with a relativistic jet oriented toward the observer. This jet is composed of accelerated particles which can display emission over the ent…

astro-ph.IM2023

Performance update of an event-type based analysis for the Cherenkov Telescope Array

Juan Bernete, Orel Gueta, Tarek Hassan +3

The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. The traditional ap…

astro-ph.HE2023

Dark matter searches in dwarf spheroidal galaxies with the Cherenkov Telescope Array

Francesco Gabriele Saturni, Michele Doro, Aldo Morselli +1

Dark matter (DM) is one of the major components in the Universe. However, at present its existence is still only inferred through indirect astronomical observations. DM particles c…

astro-ph.HE2023★ 9 cited

Prospects for -ray observations of the Perseus galaxy cluster with the Cherenkov Telescope Array

The Cherenkov Telescope Array Consortium, :, K. Abe +564

Galaxy clusters are expected to be dark matter (DM) reservoirs and storage rooms for the cosmic-ray protons (CRp) that accumulate along the cluster's formation history. Accordingly…

astro-ph.HE2023★ 16 cited

Sensitivity of the Cherenkov Telescope Array to TeV photon emission from the Large Magellanic Cloud

The Cherenkov Telescope Array Consortium

A deep survey of the Large Magellanic Cloud at ~0.1-100TeV photon energies with the Cherenkov Telescope Array is planned. We assess the detection prospects based on a model for the…

astro-ph.HE2023★ 22 cited

Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants

The Cherenkov Telescope Array Consortium, F. Acero, A. Acharyya +356

The local Cosmic Ray (CR) energy spectrum exhibits a spectral softening at energies around 3~PeV. Sources which are capable of accelerating hadrons to such energies are called hadr…

astro-ph.IM2022★ 1 cited

Failure type detection and predictive maintenance for the next generation of imaging atmospheric Cherenkov telescopes

Federico Incardona, Alessandro Costa, Kevin Munari

The next generation of imaging atmospheric Cherenkov telescopes will be composed of hundreds of telescopes working together to attempt to unveil some fundamental physics of the hig…

astro-ph.IM2022

Optimization of the storage database for the Monitoring system of the CTA

Federico Incardona, Alessandro Costa, Kevin Munari +7

We present preliminary test results for the correct sizing of the bare metal hardware that will host the database of the Monitoring system (MON) for the Cherenkov Telescope Array (…