- Solar and Space Plasma Dynamics
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Gamma-ray bursts and supernovae
- Engineering Structural Analysis Methods
- Geological and Geophysical Studies
- Geophysics and Gravity Measurements
- Astronomy and Astrophysical Research
- Ionosphere and magnetosphere dynamics
- Currency Recognition and Detection
- Solar Radiation and Photovoltaics
- Geomagnetism and Paleomagnetism Studies
Hungarian Science and Technology Foundation
2022-2024
Eötvös Loránd University
2022-2024
Stellar flares are abundant in space photometric light curves. As they now available large enough numbers, the statistical study of their overall temporal morphology is timely. We use curves from Transiting Exoplanet Survey Satellite (TESS) to shapes stellar beyond a simple parameterization by duration and amplitude, we reveal possible connections astrophysical parameters. retrained used long-short term memory neural network find 2-min cadence TESS first five years mission (sectors 1--69)....
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...
Power-law distributions have been studied as a significant characteristic of non-linear dissipative systems. Since discovering the power-law distribution solar flares that was later extended to nano-flares and stellar flares, it has widely accepted different scales share same physical process. Here, we present newly developed Semi-Automated Jet Identification Algorithm (SAJIA) its application for detecting more than 1200 off-limb jets during Solar Cycle 24. revealed between intensity/energy...
Abstract Observational precursors of large solar flares provide a basis for future operational systems forecasting. Here, we study the evolution normalized emergence (EM), shearing (SH), and total (T) magnetic helicity flux components 14 flaring (with at least one X-class flare) nonflaring (<M5-class flares) active regions (ARs) using Space-weather Helioseismic Magnetic Imager Active Region Patches vector field data. Each selected ARs contain δ -type spot. The three these were analyzed...
Abstract The focus of this study is on the spatial and temporal distributions 2704 solar jets throughout Solar Cycle 24, from beginning to end. This work a follow-up paper by Liu et al. With extended data set, we have further confirmed two distinct coronal jets: one located in polar regions another at lower latitudes. Further analysis series revealed kink oscillations global magnetic field. Additionally, studying northern southern hemispheres separately showed an antiphase correlation that...
This work aims to investigate the long-period oscillations of NOAA12353 prior a series C-class flares and correlate findings with 3-5 minute that were previously studied in same active region. The objective this is elucidate presence various long periods lower solar atmosphere both before after flare events. Understanding relationship between regions their eruption activity essential. To detect emergence, shearing, total magnetic helicity flux components assessed from photosphere top...
Abstract Coronal jets are one of the most common eruptive activities in solar atmosphere. They related to rich physics processes, including, but not limited to, magnetic reconnection, flaring, instabilities, and plasma heating. Automated identification off-limb coronal has been difficult due their abundant nature, complex appearance, relatively small size compared other features corona. In this paper, we present an automated jet algorithm (AJIA) that utilizes true fake previously detected by...
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...
Context. Multiple studies have identified a range of oscillation periods in active regions, from 3−5 min to long-period oscillations that last tens minutes several hours. Recently, it was also suggested these are connected with eruptive activity the regions. Thus, is essential understand relation between solar regions and their eruption activity. Aims. We investigate NOAA 12353 prior series C-class flares correlate findings 3- 5-min were previously studied same region. The objective this...