Innovative Techniques for Particle Physics in Space
A special issue of Particles (ISSN 2571-712X).
Deadline for manuscript submissions: closed (21 May 2024) | Viewed by 3403
Special Issue Editors
2. INFN-TIFPA, V. Sommarive 14, I-38123 Povo, Italy
Interests: particle and astroparticle physics; machine learning/deep learning applications to particle physics; particle detectors and particle detector simulations
Interests: astroparticle physics; dark matter; particle detectors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The exploration of space has always fascinated humanity, and particle physics has played an important role in exploring the mysteries of the universe. The study of energetic particles, such as cosmic rays, gammas and neutrinos, has provided valuable insights into the nature of our universe. On the other hand, the mechanisms of formation and accretion and the monitoring of particles trapped in the magnetic field at low energies are important as well. The detection particles in space and the modeling of their production mechanisms, their abundance, and their motion present unique challenges to the scientific community.
In both large-scale and small-scale space missions, particle detectors collect huge amounts of data that are used for observation and monitoring of the near Earth and cosmic environments. Moreover, the great statistical power coming from this data favors the application of new statistical methodologies and can be used to explore rare and complex phenomena and improve our understanding of the space environment.
This Special Issue will provide an opportunity for experts from various disciplines to share their ideas, concepts, and breakthroughs about new data analysis techniques and detector designs. The articles featured in this Special Issue may explore a wide array of topics, including, but not limited to, the following:
- Data analysis techniques: this Special Issue will focus on advances in data analysis techniques for space physics experiments, with topics including sophisticated algorithms, statistical techniques, and machine learning techniques designed to extract valuable information from the large amount of data collected by detectors in space;
- New detection methods: the contributions in this Special Issue will explore new methods of detection techniques in space physics;
- Analysis of new phenomena: analysis of scarcely explored space physics phenomena.
Dr. Francesco Maria Follega
Dr. Francesco Nozzoli
Guest Editors
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. Particles is an international peer-reviewed open access quarterly 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 1600 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
- particles
- astroparticle physics
- particle detectors
- cosmic rays
- trapped particles
- satellites
- space mission
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