activity
20192024
most citedAutomated classification of plasma regions using 3D particle energy distributions

34 citations · 59 across the 5 of their papers we have counts for

collaborators

5 papers

physics.space-ph2024★ 3 cited

Extent of the Magnetotail of Venus From the Solar Orbiter, Parker Solar Probe and BepiColombo Flybys

Niklas J. T. Edberg, David J. Andrews, J. Jordi Boldú +20

We analyze data from multiple flybys by the Solar Orbiter, BepiColombo, and Parker Solar Probe (PSP) missions to study the interaction between Venus' plasma environment and the sol…

physics.space-ph2024

Variability in Footpoint Mapping of BBFs Using Tsyganenko Models: Impact on Swarm Conjunctions

Vanina Lanabere, Andrew P. Dimmock, Louis Richard +3

Magnetospheric-ionospheric coupling studies often rely on multi-spacecraft conjunctions, which require accurate magnetic field mapping tools. For example, linking measurements from…

astro-ph.SR2023

Relativistic electron beams accelerated by an interplanetary shock

Immanuel C. Jebaraj, Nina Dresing, Vladimir Krasnoselskikh +16

Collisionless shock waves have long been considered amongst the most prolific particle accelerators in the universe. Shocks alter the plasma they propagate through and often exhibi…

physics.space-ph2023★ 22 cited

Backstreaming ions at a high Mach number interplanetary shock: Solar Orbiter measurements during the nominal mission phase

Andrew P. Dimmock, Michael Gedalin, Ahmad Lalti +9

Solar Orbiter, a mission developed by the European Space Agency, explores in situ plasma across the inner heliosphere while providing remote-sensing observations of the Sun. Our st…

physics.space-ph2019★ 34 cited

Automated classification of plasma regions using 3D particle energy distributions

Vyacheslav Olshevsky, Yuri V. Khotyaintsev, Ahmad Lalti +8

We investigate the properties of the ion sky maps produced by the Dual Ion Spectrometers (DIS) from the Fast Plasma Investigation (FPI). We have trained a convolutional neural netw…