Neuromorphic Readout for Hadron Calorimeters
We simulate hadrons impinging on a homogeneous lead tungstate (PbWO4) calorimeter using GEANT4 software to investigate how the resulting light yield and its temporal structure, as detected by an array of light-sensitive sensors, can be processed by a neuromorphic computing system. Our model encodes temporal photon distributions as spike trains and employs a fully connected spiking neural network to estimate the total deposited energy, as well as the position and spatial distribution of the light emissions within the sensitive material. The extracted primitives offer valuable topological information about the shower development in the material, achieved without requiring a segmentation of the active medium. A potential nanophotonic implementation using III-V semiconductor nanowires is discussed. It can be both fast and energy efficient.
Authors
- Abhijit Das (ORCID: https://orcid.org/0000-0002-4763-2035)
- A. Breccia
- A. De Vita
- Muhammad Awais (ORCID: https://orcid.org/0009-0001-3665-9507)
- Nicolas R. Gauger (ORCID: https://orcid.org/0000-0002-5863-7384)
- Anders Mikkelsen (ORCID: https://orcid.org/0000-0002-9761-0440)
- T. Dorigo (ORCID: https://orcid.org/0000-0002-1659-8727)
- J. Kieseler (ORCID: https://orcid.org/0000-0003-1644-7678)
- R. Keidel (ORCID: https://orcid.org/0000-0002-1474-6191)
- Abhishek
- Fredrik Sandin (ORCID: https://orcid.org/0000-0001-5662-825X)
- Kylian Schmidt
- P. Vischia (ORCID: https://orcid.org/0000-0002-7088-8557)
- Max Aehle (ORCID: https://orcid.org/0000-0002-6739-5890)
- X. Nguyen
- Long Chen (ORCID: https://orcid.org/0000-0002-1242-7082)
- Federico Nardi (ORCID: https://orcid.org/0000-0003-4324-2811)
- Enrico Lupi
- Joseph Willmore
- Riccardo Carroccio
Institutions
- Karlsruhe Institute of Technology (DE)
- University of Padua (IT)
- University of Kaiserslautern (DE)
- National Institute of Science Education and Research (IN)
- Universidad de Oviedo (ES)
- Lund University (SE)
- Luleå University of Technology (SE)
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Journal
- Particles
- Published
- 2025-05-01
- DOI
- https://doi.org/10.3390/particles8020052
- Citations
- 1
- Primary Topic
- Radiation Detection and Scintillator Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- European Commission
- Knut och Alice Wallenbergs Stiftelse
- Luleå Tekniska Universitet
- Agencia Estatal de Investigación