activity
20202026
most citedMulti-channel coronal hole detection with convolutional neural networks

38 citations · 193 across the 24 of their papers we have counts for

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23 papers · 1 filter

astro-ph.SR2026

Chromospheric magnetic field extrapolations reveal the flux-rope configuration of a solar filament

Robert Jarolim, João M. da Silva Santos, Matthias Rempel +5

Solar eruptions are powered by the release of magnetic energy stored in the lower solar atmosphere, but the pre-eruptive magnetic configuration of filament channels remains difficu…

astro-ph.SR2026

Improving Solar Flare Soft X-ray Classification With FOXES: A Framework For Operational X-ray Emission Synthesis

Griffin T. Goodwin, Alison J. March, Jayant Biradar +5

The Geostationary Operational Environmental Satellite (GOES) solar soft X-ray (SXR) irradiance in the 1-8Å wavelength range is a long-standing measure of solar activity, used to de…

astro-ph.SR2026

Neural blind deconvolution to reconstruct high-resolution ground-based solar observations

Christoph Schirninger, Robert Jarolim, Astrid M. Veronig +2

Ground-based solar observations enable unprecedented spatial, spectral, and temporal resolution of the lower solar atmosphere, yet Earths turbulent atmosphere imposes significant l…

astro-ph.SR2025

New Bulgarian-Austrian project 'Joint observations and investigations of solar chromospheric and coronal activity'

Rositsa Miteva, Werner Pötzi, Astrid Veronig +9

We present the bilateral collaboration between Bulgarian and Austrian solar and space weather researchers on the topic of chromospheric and coronal activity. This new project will…

astro-ph.SR2025

FOXES: A Framework For Operational X-ray Emission Synthesis

Griffin T. Goodwin, Jayant Biradar, Alison J. March +4

Understanding solar flares is critical for predicting space weather, as their activity shapes how the Sun influences Earth and its environment. The development of reliable forecast…

astro-ph.SR2025

Image calibration between the Extreme Ultraviolet Imagers on Solar Orbiter and the Solar Dynamics Observatory

Christoph Schirninger, Robert Jarolim, Astrid M. Veronig +6

To study and monitor the Sun and its atmosphere, various space missions have been launched in the past decades. With the rapid improvement in technology and different mission requi…

astro-ph.SR2025

SuNeRF-CME: Physics-Informed Neural Radiance Fields for Tomographic Reconstruction of Coronal Mass Ejections

Robert Jarolim, Martin Sanner, Chia-Man Hung +8

Coronagraphic observations enable direct monitoring of coronal mass ejections (CMEs) through scattered light from free electrons, but determining the 3D plasma distribution from 2D…

astro-ph.SR2025

Magnetic structure and asymmetric eruption of a 500 Mm filament rooted in weak-field regions

Stefan Purkhart, Astrid M. Veronig, Robert Jarolim +2

We performed a detailed analysis of the magnetic structure and asymmetric eruption of a large (about 500 Mm) inverse S-shaped filament partially located in AR 13229 on February 24,…

astro-ph.SR2025★ 7 cited

Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations

Christoph Schirninger, Robert Jarolim, Astrid M. Veronig +1

Large aperture ground based solar telescopes allow the solar atmosphere to be resolved in unprecedented detail. However, observations are limited by Earths turbulent atmosphere, re…

astro-ph.SR2025★ 1 cited

PINN ME: A Physics-Informed Neural Network Framework for Accurate Milne-Eddington Inversions of Solar Magnetic Fields

Robert Jarolim, Momchil E. Molnar, Benoit Tremblay +2

Spectropolarimetric inversions of solar observations are fundamental for the estimation of the magnetic field in the solar atmosphere. However, instrumental noise, computational re…

astro-ph.SR2024★ 1 cited

Magnetic Field Evolution of the Solar Active Region 13664

Robert Jarolim, Astrid Veronig, Stefan Purkhart +2

On 2024 May 10/11, the strongest geomagnetic storm since November 2003 has occurred, with a peak Dst index of -412 nT. The storm was caused by NOAA Active Region (AR) 13664, which…

astro-ph.SR2024

Multipoint study of the rapid filament evolution during a confined C2 flare on 28 March 2022, leading to eruption

Stefan Purkhart, Astrid M. Veronig, Bernhard Kliem +5

We studied the rapid filament evolution in AR 12975 during a confined C2 flare on 28 March 2022, which led to an eruptive M4 flare 1.5 h later. It is characterized by the breakup o…

astro-ph.SR2024★ 28 cited

A Universal Method for Solar Filament Detection from H-alpha Observations using Semi-supervised Deep Learning

Andrea Diercke, Robert Jarolim, Christoph Kuckein +7

Filaments are omnipresent features in the solar atmosphere. Their location, properties and time evolution can provide information about changes in solar activity and assist the ope…

astro-ph.SR2024★ 9 cited

SuNeRF: 3D reconstruction of the solar EUV corona using Neural Radiance Fields

Robert Jarolim, Benoit Tremblay, Andrés Muñoz-Jaramillo +8

To understand its evolution and the effects of its eruptive events, the Sun is permanently monitored by multiple satellite missions. The optically-thin emission of the solar plasma…

astro-ph.SR2024★ 10 cited

Instrument-To-Instrument translation: Instrumental advances drive restoration of solar observation series via deep learning

Robert Jarolim, Astrid M. Veronig, Werner Pötzi +1

The constant improvement of astronomical instrumentation provides the foundation for scientific discoveries. In general, these improvements have only implications forward in time,…

astro-ph.SR2024★ 7 cited

The Link Between Non-Thermal Velocity and Free Magnetic Energy in Solar Flares

James McKevitt, Robert Jarolim, Sarah Matthews +5

The cause of excess spectral line broadening (non-thermal velocity) is not definitively known, but given its rise before and during flaring, the causal processes hold clues to unde…

astro-ph.SR2023

Advancing solar magnetic field extrapolations through multi-height magnetic field measurements

Robert Jarolim, Benoit Tremblay, Matthias Rempel +4

Non-linear force-free extrapolations are a common approach to estimate the 3D topology of coronal magnetic fields based on photospheric vector magnetograms. The force-free assumpti…

astro-ph.SR2023★ 18 cited

Multi-point study of the energy release and transport in the 28 March 2022, M4-flare using STIX, EUI, and AIA during the first Solar Orbiter nominal mission perihelion

Stefan Purkhart, Astrid M. Veronig, Ewan C. M. Dickson +6

We present a case study of an M4-class flare on 28 March 2022, near Solar Orbiter's first science perihelion (0.33 AU). Solar Orbiter was 83.5° west of the Sun-Earth line, making t…

astro-ph.SR2023★ 2 cited

CME Propagation Through the Heliosphere: Status and Future of Observations and Model Development

M. Temmer, C. Scolini, I. G. Richardson +31

The ISWAT clusters H1+H2 have a focus on interplanetary space and its characteristics, especially on the large-scale co-rotating and transient structures impacting Earth. SIRs, gen…

astro-ph.SR2022★ 3 cited

SuNeRF: Validation of a 3D Global Reconstruction of the Solar Corona Using Simulated EUV Images

Kyriaki-Margarita Bintsi, Robert Jarolim, Benoit Tremblay +8

Extreme Ultraviolet (EUV) light emitted by the Sun impacts satellite operations and communications and affects the habitability of planets. Currently, EUV-observing instruments are…

astro-ph.SR2021★ 38 cited

Multi-channel coronal hole detection with convolutional neural networks

R. Jarolim, A. M. Veronig, S. Hofmeister +4

We develop a reliable, fully automatic method for the detection of coronal holes, that provides consistent full-disk segmentation maps over the full solar cycle and can perform in…

astro-ph.SR2021★ 34 cited

The Observational Uncertainty of Coronal Hole Boundaries in Automated Detection Schemes

Martin A. Reiss, Karin Muglach, Christian Möstl +16

Coronal holes are the observational manifestation of the solar magnetic field open to the heliosphere and are of pivotal importance for our understanding of the origin and accelera…

astro-ph.SR2020★ 12 cited

Image Quality Assessment for Full-Disk Solar Observations with Generative Adversarial Networks

Robert Jarolim, Astrid Veronig, Werner Pötzi +1

In order to assure a stable series of recorded images of sufficient quality for further scientific analysis, an objective image quality measure is required. Especially when dealing…