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A. K. Higginson

Aleida Higginson received her B.Sc. in astrophysics in 2011 from Florida Institute of Technology and is currently a Ph.D. candidate at the University of Michigan. She is physically located at NASA Goddard Space Flight Center and uses numerical simulations to research the origin of the slow solar wind.

Solar wind interacts with Venus's ionosphere to produce magnetotail.
Posted inResearch Spotlights

Solar Wind Disconnects Venus’s Magnetotail

by A. K. Higginson 27 June 201618 July 2023

Polarity reversals in the solar wind magnetic field disconnect the magnetic field trailing behind Venus, allowing ions from the atmosphere to escape.

Posted inResearch Spotlights

Patches of Low Electron Density Help to Heat the Ionosphere

by A. K. Higginson 23 June 201612 October 2022

Simulations show how changes in electron density can trap electromagnetic waves and heat electrons in the ionosphere.

A new study examines what past solar and space physics doctoral graduates have gone on to do.
Posted inResearch Spotlights

Can Solar and Space Physics Students Find Research Careers?

by A. K. Higginson 27 May 20168 October 2021

Research shows that 80% of graduate students who received their Ph.D. between 2001 and 2009 continued to publish for at least 3 years, and 60% are still publishing.

Posted inResearch Spotlights

Electrons Thrown Off Course in Near-Earth Magnetic Reconnection

by A. K. Higginson 26 April 201618 July 2023

NASA Magnetospheric Multiscale (MMS) mission detects energy differences in electrons scattered by magnetic reconnection.

Posted inResearch Spotlights

Half of Atmospheric Joule Heating Is Due to Small Oscillations

by A. K. Higginson 29 February 201624 October 2022

Scientists use sounding rockets to show that small oscillations in electric fields can be just as important for atmospheric Joule heating as the presence of the electric field itself.

Posted inResearch Spotlights

Sun's Magnetic Fields Best at Forecasting Solar Cycle Peaks

by A. K. Higginson 24 February 201627 March 2023

Models based on the Sun's polar magnetic fields performed best in simulating the solar cycle and predicting solar behavior.

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