A5018318108- Solar and Space Plasma Dynamics
- Geomagnetism and Paleomagnetism Studies
- Ionosphere and magnetosphere dynamics
- Stellar, planetary, and galactic studies
- Solar Radiation and Photovoltaics
- Characterization and Applications of Magnetic Nanoparticles
- Magnetic Properties and Applications
- Historical Astronomy and Related Studies
- Engineering Structural Analysis Methods
- Smart Systems and Machine Learning
- Astro and Planetary Science
- Structural Health Monitoring Techniques
- Earthquake Detection and Analysis
- Photovoltaic System Optimization Techniques
- COVID-19 diagnosis using AI
- Image and Signal Denoising Methods
- CCD and CMOS Imaging Sensors
Institute of Astrophysics and Space Sciences
2022-2024
University of Coimbra
2022-2024
University of Sheffield
2023-2024
Université Grenoble Alpes
2022
Institut de Planétologie et d'Astrophysique de Grenoble
2022
Centre National de la Recherche Scientifique
2022
Data-driven simulations of the solar corona have gathered traction in recent years for modelling destabilisation magnetic flux ropes (MFRs). To correctly apply and interpret results from these efforts, it is crucial to understand how MFRs behave such why they exhibit certain behaviour. For example, one aspect what effect does evolution photospheric field on MFR system once has reached an already unstable state. probe data-driving, we first run a fully data-driven time-dependent...
Coronal jets are narrow eruptions observable across various wavelengths, primarily driven by magnetic activity. These phenomena may play a pivotal role in solar activity, which significantly impacts the dynamics of system, however they have not been studied depth thus far. This work employs machine learning, specifically, via random forest model, to enhance assembly dataset coronal jets. By combining data from two segmentation methods, semi-automated jet identification algorithm (SAJIA) and...
Abstract The implementation of automated methods for sunspot detection is essential to obtain better objectivity, efficiency, and accuracy in identifying sunspots analysing their morphological properties. A desired application the contouring sunspots. In this work, we construct contours from Solar Dynamics Observatory (SDO)/ Helioseismic Magnetic Imager intensity images by means an method based on development mathematical morphology. validated qualitatively – resulting accurately delimit...
Context. Constructing the relevant magnetic field lines from active region modelling data is crucial to understanding underlying instability mechanisms that trigger corresponding eruptions. Aims. We present a flux rope (FR) extraction tool for solar coronal builds upon recent methodology. The newly developed method then compared against its previous iteration. Furthermore, we apply scheme simulations of regions AR12473 (similar our study) and AR11176. compare predecessor study 3D movement...
To improve our understanding of how space weather affects near-Earth environment, magnetic field modelling solar eruptive structures is essential. In particular, flux ropes in a time-dependent manner to investigate their destabilization the low corona as well morphological evolution and propagation can yield important information about eruption's impact at Earth. However, finding tracking lines that pertain rope simulation data non-trivial task. Therefore, we developed methodology extract...
Modelling the early evolution of magnetic flux ropes (MFRs) in solar atmosphere is crucial for understanding their destabilization and eruption mechanism. Identifying relevant field lines simulation data, however, not straightforward. In previous work an extraction tracking method was developed to facilitate this task. Here, we present corresponding graphical user interface (GUI), called GUITAR (GUI Tracking Analysing Ropes), with aim offer a variety tools community identifying MFRs. The...
Understanding the flux rope eruptivity and effects of data driving in modelling solar eruptions is crucial for correctly applying different models interpreting their results. We aim to investigate these by analysing fully data-driven modelled eruption active regions (ARs) 12473 AR11176, as well preforming relaxation runs AR12473 (found be eruptive) where switched off systematically at time steps. intend analyse behaviour evolution fundamental quantities that are essential understanding...
We investigate the effect of data-driving on flux rope eruptivity in magnetic field simulations by analysing fully data-driven modelling results active region (AR) 12473 and AR11176, as well preforming relaxation runs for AR12473 (found to be eruptive). Here, driving is switched off systematically at different time steps. analyse behaviour fundamental quantities, essential understanding ropes (MFRs). The are carried out with time-dependent magnetofrictional model (TMFM) AR11176. For runs, we...
Extracting plasma structures in the solar corona (e.g. jets, loops, prominences) from spacecraft imagery data is essential order to ascertain their unique properties and for our understanding of evolution. Hence, aim detect all coronal off-limb over a cycle analyse statistical properties. In particular, we investigated intensity density evolution these structures, with specific focus on active longitudes corona, that is, longitudinal regions where activity unequivocally dominant. We...
Abstract A series of experiments have shown recently that several auroral lines are polarized, when observed from the ground. However, this polarization may be caused by indirect light sources (from ground or sky) scattered in lower atmosphere Rayleigh and Lorenz‐Mie scattering, during crossing ionospheric current sheets. Here, we present measurements blue (427.8 nm) purple (391.4 emissions a laboratory confined setting excludes any pollution scattering. We show both at level comparable to...
Data-driven coronal models are attracting increasing attention for their ability to accurately capture the pre-eruption magnetic field configuration of active regions. However, degree which current modelling techniques able provide information on loss stability and initial dynamics eruptions remains unclear. An interesting avenue probing this is by employing time-dependent such that dynamic data-driving switched-off at a given time. In study, we investigate what can learn from relaxation...
Mathematical Morphology (MM) is an effective method to identify different types of features visible on the solar surface such as sunspots, facular regions, and pre-eruptive configurations Coronal Mass Ejections (CMEs), which are important indicators Sun’s activity cycle.  On one hand, we determine sunspots areas in Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) intensity images with this MM method, compare obtained values existing databases (e.g.,...
We present a magnetic flux rope (FR) extraction tool for solar coronal field modelling data, which builds upon the methodology from Wagner et al. (2023). apply scheme to simulations of active regions AR12473 and AR11176. compare method its predecessor study 3D movement newly extracted FRs up heights 200 300 Mm, respectively. The is based on twist parameter variety mathematical morphology algorithms, including opening transform morphological gradient. highlight differences between methods by...