84 citations · 136 across the 5 of their papers we have counts for
5 papers
Prediction of soft proton intensities in the near-Earth space using machine learning
Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher +14
The spatial distribution of energetic protons contributes towards the understanding of magnetospheric dynamics. Based upon 17 years of the Cluster/RAPID observations, we have deriv…
Prediction and understanding of soft proton contamination in XMM-Newton: a machine learning approach
E. A. Kronberg, F. Gastaldello, S. Haaland +10
One of the major and unfortunately unforeseen sources of background for the current generation of X-ray telescopes are few tens to hundreds of keV (soft) protons concentrated by th…
Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System
Gelu Nita, Rafal Angryk, Berkay Aydin +44
The authors of this report met on 28-30 March 2018 at the New Jersey Institute of Technology, Newark, New Jersey, for a 3-day workshop that brought together a group of data provide…
Defining and resolving current systems in geospace
N. Y. Ganushkina, M. W. Liemohn, S. Dubyagin +15
Electric currents flowing through near-Earth space ( 12 ) can support a highly distorted magnetic field topology, changing particle drift paths an…
A numerical study of the correspondence between paths in a causal set and geodesics in the continuum
Raluca Ilie, Gregory B. Thompson, David D. Reid
This paper presents the results of a computational study related to the path-geodesic correspondence in causal sets. For intervals in flat spacetimes, and in selected curved spacet…