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Peter A. Robinson

Researcher at University of Sydney

Publications -  495
Citations -  17549

Peter A. Robinson is an academic researcher from University of Sydney. The author has contributed to research in topics: Plasma oscillation & Wave packet. The author has an hindex of 61, co-authored 489 publications receiving 16034 citations. Previous affiliations of Peter A. Robinson include NASA Headquarters & University of Colorado Boulder.

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Maximum Langmuir Fields in Planetary Foreshocks Determined from the Electrostatic Decay Threshold

TL;DR: In this article, the maximum electric fields of Langmuir waves at planetary foreshocks were estimated from the threshold for electrostatic decay, assuming it saturates beam driven growth, and incorporating heliospheric variation of plasma density and temperature.
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Electromagnetic localization in dispersive stratified media with random loss and gain

TL;DR: In this paper, a theory of localization of waves in stratified weakly disordered dispersive media with random loss and gain is developed, where the authors consider a one-dimensional model of a random medium, consisting of a stack composed of an arbitrary number of layers of equal thickness having random refractive indices.
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Using geometry to uncover relationships between isotropy, homogeneity, and modularity in cortical connectivity

TL;DR: Model networks based on spherical geometry containing similar isotropic, homogeneous connection distributions to the experiment are shown to reproduce, interrelate, and explain key properties of experimentally derived networks, such as clustering coefficient (CC) and path length, mean degree, and modularity score.
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Modeling melanopsin‐mediated effects of light on circadian phase, melatonin suppression, and subjective sleepiness

TL;DR: A physiologically based model of arousal dynamics is improved to incorporate the effects of the light spectrum on circadian phase resetting, melatonin suppression, and subjective sleepiness and incorporating melanopic irradiance allowed simulation of wavelength‐dependent responses to light and could explain the majority of the observations.
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Low-temperature exchange coupling between Fe[sub 2]O[sub 3] and FeTiO[sub 3]: Insight into the mechanism of giant exchange bias in a natural nanoscale intergrowth

TL;DR: In this paper, Monte Carlo simulations of Fe2O3 lamellae with an exchange bias of 0.9 T at 10 K have been used to explore possible interface magnetic structures under the framework of a classical Heisenberg model.