Plasma Spectroscopy and Plasma Diagnostics: From Classical to Sophisticated Methods
A special issue of Atoms (ISSN 2218-2004).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 3825
Special Issue Editor
Interests: plasma physics; plasma spectroscopy; stark broadening; Zeeman effect; magnetic fusion; diagnostics; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The objective of this Special Issue of Atoms, entitled “Plasma Spectroscopy and Plasma Diagnostics: From Classical to Sophisticated Methods”, is to summarize in a single issue all the major techniques and methods which are used in spectroscopy and diagnostics of plasmas from traditional/classical methods to the latest and sophisticated ones, including those combining physical models with artificial intelligence, e.g., machine learning. It is intended to cover all kinds of plasmas, from astrophysical low-density low-temperature plasmas to high-density high-energy plasmas which are produced in laboratories using intense and ultra-fast laser beams. This Special Issue concerns both magnetized and non-magnetized plasmas, as well as plasmas at thermal equilibrium and those deviating from it. In addition to providing in a single issue/volume all major spectroscopic and diagnostics techniques used in various plasmas for researchers and students, this Special Issue has other aims. One of these aims is to increase the interactions between communities by sharing the various techniques and ideas related to plasma spectroscopy and plasma diagnostics between these various plasma communities and others, such as atomic physicists. The issue is not limited to plasma physicists but is open to other research and interdisciplinary fields if connected to the topics of this issue. Therefore, we welcome original manuscripts concerning plasma spectroscopy, plasma diagnostics, atomic physics in plasmas, as well as manuscripts connected to these fields. Manuscripts introducing machine learning in spectroscopic methods and other innovative spectroscopic methods will be appreciated, as well as those describing the state of the art of diagnostic or spectroscopic methods.
Dr. Mohammed Koubiti
Guest Editor
Manuscript Submission Information
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Keywords
- spectroscopic technics and methods
- plasma diagnostics
- atomic physics in plasmas
- modern diagnostic techniques
- low-density plasmas
- low-temperature plasmas
- high-energy density plasmas
- machine learning
- artificial intelligence
- magnetic fusion
- astrophysical plasmas
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