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Particles, Volume 8, Issue 2

June 2025 - 28 articles

Cover Story: In this study, we explore the potential of granular calorimeters for identifying high-energy hadrons by analyzing energy deposition patterns and timing information. GEANT4 simulations of a highly segmented PbWO₄ calorimeter were utilized to assess the discrimination of protons, pions, and kaons at 100 GeV. By extracting detailed topological and temporal features, machine learning models such as XGBoost and deep neural networks were trained and evaluated. Our results demonstrate that increased segmentation enhances classification: p/π accuracy reaches ~62%, π/K reaches ~57%, and p/K reaches ~58.6% with XGBoost. Key discriminating variables are the shower radius and the total deposited energy. These findings provide insights for the design of future high-performance calorimeters. View this paper
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Articles (28)

  • Article
  • Open Access
893 Views
8 Pages

Hollow electron beams are a promising tool for generating coherent radiation in various frequency ranges. Hollow beams have unique properties, including increased stability and the ability to achieve high current densities without significant deterio...

  • Article
  • Open Access
1,041 Views
11 Pages

Nuclear density functional theory (DFT) is able to reproduce the saturation properties of nuclear matter, as well as properties of finite nuclei. Consequently, the DFT calculations are applicable to nuclei across a wide range of masses on the nuclear...

  • Article
  • Open Access
1,108 Views
10 Pages

Investigating K/π Decay Muon Yields Using K/π Yields and a Fast Simulation Method

  • Zuman Zhang,
  • Sha Li,
  • Ning Yu,
  • Hongge Xu,
  • Yuanmeng Xiong and
  • Kun Liu

In ultra-relativistic heavy-ion collisions, the study of muons from kaon (K) and pion (π) decays provides insights into hadron production and propagation in the Quark–Gluon Plasma (QGP). This paper investigates muon yields from K and π de...

  • Article
  • Open Access
2 Citations
1,603 Views
28 Pages

Hadron Identification Prospects with Granular Calorimeters

  • Andrea De Vita,
  • Abhishek,
  • Max Aehle,
  • Muhammad Awais,
  • Alessandro Breccia,
  • Riccardo Carroccio,
  • Long Chen,
  • Tommaso Dorigo,
  • Nicolas R. Gauger and
  • Ralf Keidel
  • + 8 authors

In this work we consider the problem of determining the identity of hadrons at high energies based on the topology of their energy depositions in dense matter, along with the time of the interactions. Using GEANT4 simulations of a homogeneous lead tu...

  • Article
  • Open Access
1 Citations
1,394 Views
11 Pages

This study investigates the masses and quadrupole deformations of even-Z nuclei within the range 8⩽Z⩽104 using the triaxial relativistic Hartree–Bogoliubov model (TRHB) with the PC-PK1 density functional. For odd-mass nuclei, the...

  • Article
  • Open Access
1,759 Views
14 Pages

We performed the microscopic calculation of β-decay properties for waiting-point nuclei with neutron-closed magic shells. Allowed Gamow–Teller (GT) and first-forbidden (FF) transitions were simulated using a schematic model (SM) for waitin...

  • Article
  • Open Access
1,541 Views
10 Pages

Chiral Effects in Hydrodynamics: New Trends

  • Valentin Zakharov,
  • Oleg Teryaev and
  • Georgy Prokhorov

By chiral effects, one understands the manifestations of chiral gauge anomaly and of gravitational chiral anomaly in hydrodynamics. In the last two to three years, our understanding of chiral effects has considerably changed. Here, we present a mini-...

  • Article
  • Open Access
1,124 Views
11 Pages

Building on the successful demonstration of hypernuclear spectroscopy using heavy-ion beams, the HypHI Collaboration is shifting its focus to investigating proton- and neutron-rich hypernuclei. A crucial component of this research is the implementati...

  • Article
  • Open Access
1 Citations
2,308 Views
20 Pages

Optimisation of Muon Tomography Scanners for Border Control Using TomOpt

  • Zahraa Zaher,
  • Samuel Alvarez,
  • Tommaso Dorigo,
  • Andrea Giammanco,
  • Maxime Lagrange,
  • Giles C. Strong,
  • Pietro Vischia and
  • Haitham Zaraket

The TomOpt software package is designed to optimise the geometric configuration and the specifications of detectors intended for muon scattering tomography, an imaging technique exploiting cosmic-ray muons. The software employs an end-to-end differen...

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Particles - ISSN 2571-712X