Solar and Stellar Activity: Exploring the Cosmic Nexus

A special issue of Universe (ISSN 2218-1997). This special issue belongs to the section "Space Science".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 518

Special Issue Editors


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Guest Editor
Department of Astronomy, Eötvös University, H-1117 Budapest, Hungary
Interests: astrophysical HD/MHD; solar physics; planetary systems

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Guest Editor
Department of Space Physics and Technology, Wigner Research Centre for Physics, H-1121 Budapest, Hungary
Interests: space plasma physics; space weather

Special Issue Information

Dear Colleagues,

Sun and the star activity is closely related to the cosmic environment in which they exist. This Special Issue on “Solar and Stellar Activity: Exploring the Cosmic Nexus” provides an opportunity to present the latest research on our Sun, its immediate environment (the heliosphere) and the activity of stars and its effects. Hence, the topic of this Special Issue is to review the variation and variability in various phenomena in space sciences. Sophisticated theoretical and numerical modeling techniques present a unique opportunity to combine several space and ground-based observations to understand the changes and connections in the surrounding space, from the nearest star (our Sun) to distant stars.

This following topics can be found in this Special Issue:

  • The observation of magnetic phenomena in our Sun and other stars and their origin and evolution;
  • The heating of solar and stellar coronae;
  • The impact of activity phenomena on their environment in the heliosphere or in the astrospheres;
  • Space weather prediction using coordinated observations of various spacecraft in the inner heliosphere, the vicinity of Earth and ongoing space missions at other planets;
  • The effects of space weather on planets, comets and exoplanets.

The aim of this comprehensive Special Issue is to introduce exciting new solar and stellar research that has been gaining ground in recent years. The papers published here present new directions and highlight recent advances in the field, offering deeper insights into the role of space weather in relation with the complexity of stellar dynamics.

Dr. Emese Forgacs-Dajka
Dr. Zsofia Bebesi
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. Universe is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. 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

  • astrophysical HD/MHD
  • solar and stellar activity
  • space weather
  • solar and stellar dynamo

Published Papers (1 paper)

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Research

20 pages, 3351 KiB  
Article
Combining Empirical and Physics-Based Models for Solar Wind Prediction
by Rob Johnson, Soukaina Filali Boubrahimi, Omar Bahri and Shah Muhammad Hamdi
Universe 2024, 10(5), 191; https://doi.org/10.3390/universe10050191 - 24 Apr 2024
Viewed by 295
Abstract
Solar wind modeling is classified into two main types: empirical models and physics-based models, each designed to forecast solar wind properties in various regions of the heliosphere. Empirical models, which are cost-effective, have demonstrated significant accuracy in predicting solar wind at the L1 [...] Read more.
Solar wind modeling is classified into two main types: empirical models and physics-based models, each designed to forecast solar wind properties in various regions of the heliosphere. Empirical models, which are cost-effective, have demonstrated significant accuracy in predicting solar wind at the L1 Lagrange point. On the other hand, physics-based models rely on magnetohydrodynamics (MHD) principles and demand more computational resources. In this research paper, we build upon our recent novel approach that merges empirical and physics-based models. Our recent proposal involves the creation of a new physics-informed neural network that leverages time series data from solar wind predictors to enhance solar wind prediction. This innovative method aims to combine the strengths of both modeling approaches to achieve more accurate and efficient solar wind predictions. In this work, we show the variability of the proposed physics-informed loss across multiple deep learning models. We also study the effect of training the models on different solar cycles on the model’s performance. This work represents the first effort to predict solar wind by integrating deep learning approaches with physics constraints and analyzing the results across three solar cycles. Our findings demonstrate the superiority of our physics-constrained model over other unconstrained deep learning predictive models. Full article
(This article belongs to the Special Issue Solar and Stellar Activity: Exploring the Cosmic Nexus)
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