activity
20202026
most citedMachine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

A measurement-based approach to EPFD calculation, to quantify the impact of satellite mega-constellations on low-frequency radio astronomy

Steven J. Tingay, Gregory Hellbourg, Daniel Sheen +4

Context: Satellite mega-constellations generate Unintended Electro-Magnetic Radiation (UEMR) impacting low frequency radio astronomy. The Radio Regulations of the International Tel…

astro-ph.IM2026

Towards Genuine Coexistence: Per-Satellite Emission and Radiation Limits to Protect Radio Astronomy and Geodetic VLBI at 1-14 GHz from Satellite Constellations

Balthasar Indermuehle, Lucia McCallum, Emma van der Wateren +7

Geodetic very long baseline interferometry (VLBI) is a vulnerable application of the radio astronomy service (RAS): it provides the fundamental link between the celestial and terre…

astro-ph.IM2026

Can Dynamic Spectrum Sharing Protect Passive Radio Sciences?

Gregory Hellbourg

Dynamic Spectrum Sharing (DSS) is increasingly promoted as a key element of modern spectrum policy, driven by the rising demand from commercial wireless systems and advances in spe…

astro-ph.IM2025

Quiet Skies Report: A Primer on Protecting Radio Astronomy in the Age of Satellite Mega-Constellations

Gregory Hellbourg

The rapid expansion of satellite constellations is transforming the radio-frequency environment around the Earth. At the same time, radio astronomy is entering a new era of sensiti…

astro-ph.SR2020★ 9 cited

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations

Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38

The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…