activity
20192026
most citedSuNeRF: 3D reconstruction of the solar EUV corona using Neural Radiance Fields

9 citations · 16 across the 10 of their papers we have counts for

collaborators
Showing astro-ph.SRShow all

7 papers · 1 filter

astro-ph.SR2025

HiSAXy: A fast methodology for solar wind structure identification in millions of time series

Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +8

We present a hybridized unsupervised clustering algorithm Hisaxy as a novel way to identify frequently occurring magnetic structures embedded in the interplanetary magnetic field (…

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.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.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.SR2022★ 1 cited

Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures

Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +9

The solar wind consists of charged particles ejected from the Sun into interplanetary space and towards Earth. Understanding the magnetic field of the solar wind is crucial for pre…

astro-ph.SR2020★ 1 cited

RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks

J. Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan +6

Magnetic activity in stars manifests as dark spots on their surfaces that modulate the brightness observed by telescopes. These light curves contain important information on stella…

astro-ph.SR2019★ 2 cited

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses

Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney +7

Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation. Studies of the magnetic field of the Sun, and its influence on…