Riccardo Crupi


Supervisor: Andrea Vacchi

+39 0432 558231

Stanza / Room: L1-05-BE 1° piano


Research Project

Deep Learning for Gamma-Ray Burst
  • Gamma-ray bursts (GRB) are short-lived bursts of gamma-ray light, the most energetic form of light, lasting anywhere from a few milliseconds to several minutes.
  • HERMES-Technologic and Scientific pathfinder (HERMES-TP/SP) is a constellation of six 3U nano-satellites hosting simple but innovative X-ray detectors for the monitoring of Cosmic High Energy transients such as GRB and the electromagnetic counterparts of Gravitational Wave Events. The main objective of HERMES-TP/SP is to prove that accurate position of high energy cosmic transients can be obtained using miniaturized hardware.

The main goals of the projects are:

  1. join the multimessenger revolution by providing a first mini-constellation for GRB localizations with a total of six units. First experiment of GRB triangulation with miniaturized instrumentation;
  2. develop miniaturized payload technology for breakthrough science.

The aim of my research project is to provide insights and better knowledge in Gamma-Ray Burst (GRB) and use this knowledge to contribute in Hermes-TP/SP. I use techniques of Deep Learning to analyse data acquired from X/Gamma ray telescopes. The steps consist in:

  • Identify long GRB not already labelled in GRB catalogues
  • Simulate the GRB without prior models
  • Find the relation between signals in different energy band

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