Ruolo: Tecnologo

Contatti

  • Stanza: C-317
  • Telefono: +39 051 639 8735
  • Email: nicolo.parmiggiani@inaf.it

Informazioni personali


Paper più recenti su ADS
(based on ORCID, see here how to claim missing papers)

  1. Comparing Classical and Quantum Deep Learning Techniques for Anomaly Detection of Short-Duration Gamma-Ray Signals, Astronomy and Computing, 2026
  2. COSI Short Gamma-Ray Burst Localization Using BGO Shield Data, The Astrophysical Journal, 2026
  3. Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations, Particles, 2025
  4. The Real-Time Data Processor Framework for Data Handling and Analysis of High-Energy Instruments, arXiv e-prints, 2025
  5. The COSI Data Analysis Pipeline & The Third COSI Data Challenge, AAS/High Energy Astrophysics Division, 2025
  6. GRB Localizations and Polarimetry with COSI, AAS/High Energy Astrophysics Division, 2025
  7. The Supervisory Control and Data Acquisition Software System for the ASTRI Mini-Array Project, Astronomical Data Analysis Software and Systems XXXIII, 2025
  8. BoGEMMS-HPC: Large-scale simulations for X-ray and Gamma-ray observations, Astrophysics Source Code Library, 2025
  9. Deep Learning for AGILE Anticoincidence System's Background Prediction from Orbital and Attitude Parameters, Astronomical Data Analysis Software and Systems XXXIII, 2025
  10. A New Deep Learning Model for Gamma-Ray Bursts' Light Curves Simulation, Astronomical Data Analysis Software and Systems XXXIII, 2025
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