Novel Insight into High-Energy Physics
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 20 December 2024 | Viewed by 48
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
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.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
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
