most citedUsing dimensionality reduction and clustering techniques to classify space plasma regimes

14 citations · 51 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.SR2022

Radial evolution of thermal and suprathermal electron populations in the slow solar wind from 0.13 to 0.5 au : Parker Solar Probe Observations

Joel B. Abraham, Christopher J Owen, Daniel Verscharen +8

We develop and apply a bespoke fitting routine to a large volume of solar wind electron distribution data measured by Parker Solar Probe (PSP) over its first five orbits, covering…

physics.plasm-ph2022

Direct evidence of magnetic reconnection onset via the tearing instability

Mayur R. Bakrania, I. Jonathan Rae, Andrew P. Walsh +4

Magnetic reconnection is a sporadic process responsible for energy release in space and laboratory plasmas. It is believed that the tearing mode instability may be responsible for…

astro-ph.SR2022★ 13 cited

The Stability of the Electron Strahl against the Oblique Fast-magnetosonic/Whistler Instability in the Inner Heliosphere

Seong-Yeop Jeong, Joel B. Abraham, Daniel Verscharen +8

We analyze the micro-kinetic stability of the electron strahl in the solar wind depending on heliocentric distance. The oblique fast-magnetosonic/whistler (FM/W) instability has em…

physics.space-ph2022★ 11 cited

The Kinetic Expansion of Solar-Wind Electrons: Transport Theory and Predictions for the very Inner Heliosphere

Seong-Yeop Jeong, Daniel Verscharen, Christian Vocks +9

We propose a transport theory for the kinetic evolution of solar-wind electrons in the heliosphere. We derive a gyro-averaged kinetic transport equation that accounts for the spher…

physics.plasm-ph2020★ 14 cited

Using dimensionality reduction and clustering techniques to classify space plasma regimes

Mayur R. Bakrania, I. Jonathan Rae, Andrew P. Walsh +2

Collisionless space plasma environments are typically characterised by distinct particle populations. Although moments of their velocity distribution functions help in distinguishi…

physics.space-ph2020★ 13 cited

Statistics of Solar Wind Electron Breakpoint Energies Using Machine Learning Techniques

Mayur R. Bakrania, I. Jonathan Rae, Andrew P. Walsh +4

Solar wind electron velocity distributions at 1 au consist of a thermal "core" population and two suprathermal populations: "halo" and "strahl". The core and halo are quasi-isotrop…