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Novel Insight into High-Energy Physics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Physics General".

Deadline for manuscript submissions: 25 July 2025 | Viewed by 669

Special Issue Editor


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Guest Editor
Dipartimento di Fisica “Ettore Pancini”, Università Degli Studi di Napoli Federico II, Complesso Univ. Monte S. Angelo, Via Cinthia, 21-Edificio 6, 80126 Napoli, Italy
Interests: machine learning; LHC; high-energy physics; astroparticles; data analysis; reconstruction technique

Special Issue Information

Dear Colleagues,

The main intent of High-Energy Physics (HEP) is exploring the elementary constituents of matter and energy and their interactions, and the nature of space and time, through an extensive physics programme that promotes Energy, Intensity and Cosmic frontiers. Progresses in all these fields will require great effort from scientific community and the ongoing challenges demands innovations in both experimental and data analysis areas.

The goal of this Special Issue is to share and discuss the most promising insight into High-energy Physics, with a special attention to most recent achievements and possible future developments. The topics of interest include advanced reconstruction and data analysis techniques in offline and online domains. Original research and review articles are welcome.

Dr. Francesco Cirotto
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • machine learning
  • LHC
  • high-energy physics
  • astroparticles
  • data analysis
  • reconstruction technique

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Published Papers (1 paper)

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Research

14 pages, 13937 KiB  
Article
The Development and Application of Multi-Cell Elliptical Superconducting Cavity Pre-Tuning Equipment
by Ahong Li, Lin Meng, Huachang Liu, Yao Yang, Qiang Chen, Bo Li, Xiaolei Wu, Peihua Qu, Mengxu Fan, Wenzhong Zhou and Cong Zhang
Appl. Sci. 2025, 15(7), 3894; https://doi.org/10.3390/app15073894 - 2 Apr 2025
Viewed by 200
Abstract
Elliptical superconducting cavities are widely used in particle accelerators because they can provide stronger acceleration fields than regular cavities. Pre-tuning is required to improve their performance, but the process is time-consuming. This research introduces an automated pre-tuning system for multi-cell elliptical superconducting cavities. [...] Read more.
Elliptical superconducting cavities are widely used in particle accelerators because they can provide stronger acceleration fields than regular cavities. Pre-tuning is required to improve their performance, but the process is time-consuming. This research introduces an automated pre-tuning system for multi-cell elliptical superconducting cavities. This platform integrates three main components: real-time electric field measurements, data analysis based on tuning algorithms, and automated mechanical adjustment systems. During copper cavity tests, the system achieved an electric field flatness of 96.5%. Results show the system can accurately tune cavity frequencies while keeping electric fields uniform. This solves the problem of low efficiency in manual tuning. The new system improves cavity reliability and offers useful solutions for precise tuning needs. It also offers a foundational framework for analogous system development in future projects. Full article
(This article belongs to the Special Issue Novel Insight into High-Energy Physics)
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