activity
20102024
most citedThe Evolution and Role of Solar Wind Turbulence in the Inner Heliosphere

270 citations · 3.9k across the 80 of their papers we have counts for

collaborators
Showing 2021Show all

11 papers · 1 filter

astro-ph.SR2021

Parker Solar Probe evidence for the absence of whistlers close to the Sun to scatter strahl and regulate heat flux

C. Cattell, A. Breneman, J. Dombeck +14

Using the Parker Solar Probe FIELDS bandpass filter data and SWEAP electron data from Encounters 1 through 9, we show statistical properties of narrowband whistlers from ~16 Rs to…

astro-ph.SR2021★ 32 cited

Exploring the Solar Wind from its Source on the Corona into the Inner Heliosphere during the First Solar Orbiter - Parker Solar Probe Quadrature

Daniele Telloni, Vincenzo Andretta, Ester Antonucci +68

This Letter addresses the first Solar Orbiter (SO) -- Parker Solar Probe (PSP) quadrature, occurring on January 18, 2021, to investigate the evolution of solar wind from the extend…

astro-ph.SR2021★ 74 cited

Characteristic scales of magnetic switchback patches near the Sun and their possible association with solar supergranulation and granulation

Naïs Fargette, Benoit Lavraud, Alexis Rouillard +16

Parker Solar Probe (PSP) data recorded within a heliocentric radial distance of 0.3 AU have revealed a magnetic field dominated by Alfvénic structures that undergo large local vari…

physics.space-ph2021★ 1 cited

A novel machine learning technique to identify and categorize plasma waves in spacecraft measurements

Daniel Vech, David M. Malaspina

The available magnetic field data from the terrestrial magnetosphere, solar wind and planetary magnetospheres exceeds over hours. Identifying plasma waves in these large dat…

astro-ph.SR2021

Ambipolar electric field and potential in the solar wind estimated from electron velocity distribution functions

Laura Bercic, Milan Maksimovic, Jasper S. Halekas +17

The solar wind escapes from the solar corona and is accelerated, over a short distance, to its terminal velocity. The energy balance associated with this acceleration remains poorl…

physics.space-ph2021★ 4 cited

A powerful machine learning technique to extract proton core, beam and alpha-particle parameters from velocity distribution functions in space plasmas

Daniel Vech, Michael L. Stevens, Kristoff W. Paulson +4

Context: The analysis of the thermal part of velocity distribution functions (VDF) is fundamentally important for understanding the kinetic physics that governs the evolution and d…