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 737
Special Issue Editor
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
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Keywords
- machine learning
- LHC
- high-energy physics
- astroparticles
- data analysis
- reconstruction technique
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