@InProceedings{MedeirosSVSSAMJSDKBK:2019:NeNeAp,
author = "Medeiros, Cl{\'a}udia and Souza, Vitor Moura Cardoso e Silva and
Vieira, Lu{\'{\i}}s Eduardo Antunes and Sibeck, David G. and
Silva, Ligia Alves da and Alves, Livia Ribeiro and Marchezi,
Jos{\'e} Paulo and Jauer, Paulo Ricardo and Silva, Marlos
Rockenbach da and Dal Lago, Alisson and Kanekal, Shrikanth G. and
Baker, Dan N. and Kletzing, Craig",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {NASA Goddard Space Flight Center}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and NASA and {University of Colorado} and {University of
Iowa}",
title = "Neural Network Approaches To Find Evidences Of EMIC Waves And
Their Contribution To Pitch Angle Distribution Reconfiguration In
The Earth's Outer Van Allen Radiation Belts",
year = "2019",
organization = "AGU Fall Meeting",
abstract = "The evidences for ElectroMagnetic Ion Cyclotron (EMIC) waves as
responsible to reconfigure electron pitch angle distribution (PAD)
shapes in the outer Van Allen Radiation Belts were recently
endorsed in a case study reported by Medeiros et al. (2019). It
was shown that EMIC waves were contributing to further enhance the
reduction of the measured flux of relativistic electrons at higher
(>135º and < 45º) equatorial pitch angles, which in turn has been
claimed as the cause for a rearrangement of the previously
measured electron PAD shape into a peculiar butterfly-shaped PAD.
Several studies have been confirming the relevance of this
wave-particle interaction. The purpose of this study is try to
find evidences that corroborates with the Medeiros et al., (2019)
analysis by considering a longer time interval during the Van
Allen Probes era. To obtain such results a neural network-based
routine was developed to automatically (and successfully) find
EMIC waves in Van Allen Probes magnetometer data. The EMIC waves
occurrence pattern, as obtained by this neural network technique,
will then be used as input for another neural network-based
approach proposed by Souza et al. (2016) in order to correlate the
reconfiguration of electron PAD shapes with EMIC waves
occurrence.",
conference-location = "San Francisco, CA",
conference-year = "09-13 dec.",
language = "en",
targetfile = "medeiros_neural.pdf",
urlaccessdate = "23 abr. 2024"
}