activity
20172022
most citedThe Solar Orbiter Science Activity Plan: translating solar and heliospheric physics questions into action

112 citations · 300 across the 10 of their papers we have counts for

collaborators

16 papers

physics.space-ph2022

The essential role of multi-point measurements in investigations of turbulence, three-dimensional structure, and dynamics: the solar wind beyond single scale and the Taylor Hypothesis

W. H. Matthaeus, S. Adhikari, R. Bandyopadhyay +49

Space plasmas are three-dimensional dynamic entities. Except under very special circumstances, their structure in space and their behavior in time are not related in any simple way…

physics.plasm-ph20214 cited

The Plasma Universe: A Coherent Science Theme for Voyage 2050

D. Verscharen, R. T. Wicks, G. Branduardi-Raymont +13

In review of the White Papers from the Voyage 2050 process and after the public presentation of a number of these papers in October 2019 in Madrid, we as White Paper lead authors h…

physics.plasm-ph2021

Non-Maxwellianity of electron distributions near Earth's magnetopause

D. B. Graham, Yu. V. Khotyaintsev, M. André +6

Plasmas in Earth's outer magnetosphere, magnetosheath, and solar wind are essentially collisionless. This means particle distributions are not typically in thermodynamic equilibriu…

physics.plasm-ph20203 cited

In situ evidence of ion acceleration between consecutive reconnection jet fronts

Filomena Catapano, Alessandro Retino, Gaetano Zimbardo +21

Processes driven by unsteady reconnection can efficiently accelerate particles in many astrophysical plasmas. An example are the reconnection jet fronts in an outflow region. We pr…

astro-ph.SR2020112 cited

The Solar Orbiter Science Activity Plan: translating solar and heliospheric physics questions into action

I. Zouganelis, A. De Groof, A. P. Walsh +182

Solar Orbiter is the first space mission observing the solar plasma both in situ and remotely, from a close distance, in and out of the ecliptic. The ultimate goal is to understand…

physics.plasm-ph202046 cited

Automatic classification of plasma regions in near-Earth space with supervised machine learning: application to Magnetospheric Multi Scale 2016-2019 observations

Hugo Breuillard, Romain Dupuis, Alessandro Retino +3

The proper classification of plasma regions in near-Earth space is crucial to perform unambiguous statistical studies of fundamental plasma processes such as shocks, magnetic recon…