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Fundamental plasma physics of the sun and heliosphere: Warwick CFSA Consolidated Grant Application

Lead Research Organisation: University of Warwick
Department Name: Physics

Abstract

Quantitative understanding of the fundamental physical processes acting in the Sun's corona and solar wind is essential not only to the physics of the Sun and its connection to the Earth's environment, but it also enhances our knowledge of astrophysical plasma processes in general. Coronal MHD waves are of direct relevance to much of the dynamics such as solar flares and eruptions and carry unique information about the plasma parameters and physical processes operating in it; coronal waves are capable of transferring energy and mechanical momentum from the convection zone into the corona and heliosphere and are associated with the development of plasma instabilities. The plasma flowing out from the sun generates a solar wind. The texture and dynamics of the solar wind is intimately connected to that of the solar corona and this highly variable plasma flow can lead to local heating which in turn accelerates the solar wind. The solar wind is accelerated to such an extent that it is in principle a turbulence laboratory so that quantifying its fluctuations has direct implications for our understanding of turbulence. Solar wind variability is thus a subtle interplay between variability originating in the corona, and turbulent evolution in-situ. Quantifying and understanding the fluctuating solar wind also provides an important input into models for the propagation of cosmic rays in the heliosphere, and for space weather for which the solar wind is the driver. The Sun's magnetic field is generated and maintained by a dynamo in the solar interior. Helioseismology offers a means by which we can probe beneath the visible surface of the Sun, discerning conditions in the Sun's convection zone, constraining uncertain dynamo models and providing vital insights into the internal magnetic field that is ultimately responsible for the more readily observable manifestations in the solar atmosphere and beyond. A quantitative understanding of these processes, closely coupled to observations, can be seen as either the means to understanding observed phenomena, or as using the observed phenomena as a strong drive to understanding new fundamental plasma physics. These ideas, techniques and expertise that underpin this programme are thus of impact beyond plasma astrophysics.

Publications

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Belov S (2024) Detecting Quasiperiodic Pulsations in Solar and Stellar Flares with a Neural Network in The Astrophysical Journal Supplement Series

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Holdsworth D (2024) TESS Cycle 2 observations of roAp stars with 2-min cadence data in Monthly Notices of the Royal Astronomical Society

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Jafarzadeh S (2025) Wave analysis tools in Nature Reviews Methods Primers

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Kolotkov D (2024) The centroid speed as a characteristic of the group speed of solar coronal fast magnetoacoustic wave trains in Monthly Notices of the Royal Astronomical Society

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Kolotkov D (2024) Effects of the photospheric cut-off on the p-mode frequency stability in Monthly Notices of the Royal Astronomical Society

 
Title SNB model of thermal transport 
Description Developed a simulation code able to include non-local transport in models of the solar corona 
Type Of Material Improvements to research infrastructure 
Year Produced 2025 
Provided To Others? No  
Impact Academic only impact in modelling waves in the solar corona. 
 
Title Polarisation of Decayless Kink Oscillations of Solar Coronal Loops 
Description Data and codes for set up geometrical model for 3D oscillating loop and their projections on different plane of sky, considering 5 types of polarisation. The make_loopdatacube.pro generates oscillating coronal loop, in 3D space, with different types of polarisation, see '*_R15_data.sav' for the results. The code loop_projection.pro generates 2D images which are projection of 3D loop based on two viewing line of sight (LoS), see the resulting datasets 'Projected_data_*_AIALoS*.sav' for AIA LoS, and 'Projected_data_*_HRILoS*.sav' for HRI LoS. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Polarisation_of_Decayless_Kink_Oscillations_of_...
 
Title Polarisation of Decayless Kink Oscillations of Solar Coronal Loops 
Description Data and codes for set up geometrical model for 3D oscillating loop and their projections on different plane of sky, considering 5 types of polarisation. The make_loopdatacube.pro generates oscillating coronal loop, in 3D space, with different types of polarisation, see '*_R15_data.sav' for the results. The code loop_projection.pro generates 2D images which are projection of 3D loop based on two viewing line of sight (LoS), see the resulting datasets 'Projected_data_*_AIALoS*.sav' for AIA LoS, and 'Projected_data_*_HRILoS*.sav' for HRI LoS. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://figshare.com/articles/dataset/Polarisation_of_Decayless_Kink_Oscillations_of_Solar_Coronal_L...
 
Title QPP-Detection 
Description This repository is for the paper "Detecting quasi-periodic pulsations in solar and stellar flares with a neural network" by Sergey Belov. It is associated with manuscript number AAS57014. QPP-Detection is the project to detect Quasi Periodic Pulsations (QPP) in solar and stellar flares. To detect QPPs, we used the Fully Convolutional Network (FCN) archtiecture proposed by Wang et al. (2017). The project consists of two main parts: Notebooks to generatate synthetic dataset and train the FCN (Notebooks folder) Streamlit browser application to use the FCN pretrained on the synthetic dataset for the QPP detection task on custom data (Application folder) 
Type Of Technology Software 
Year Produced 2024 
Open Source License? Yes  
URL https://zenodo.org/doi/10.5281/zenodo.13304522
 
Title QPP-Detection 
Description This repository is for the paper "Detecting quasi-periodic pulsations in solar and stellar flares with a neural network" by Sergey Belov. It is associated with manuscript number AAS57014. QPP-Detection is the project to detect Quasi Periodic Pulsations (QPP) in solar and stellar flares. To detect QPPs, we used the Fully Convolutional Network (FCN) archtiecture proposed by Wang et al. (2017). The project consists of two main parts: Notebooks to generatate synthetic dataset and train the FCN (Notebooks folder) Streamlit browser application to use the FCN pretrained on the synthetic dataset for the QPP detection task on custom data (Application folder) 
Type Of Technology Software 
Year Produced 2024 
Open Source License? Yes  
URL https://zenodo.org/doi/10.5281/zenodo.13304523