@Article{BolzanEcheFranHajr:2022:IdPlMa,
author = "Bolzan, Maur{\'{\i}}cio Jos{\'e} Alves and Echer, Ezequiel and
Franco, Adriane Marques de Souza and Hajra, Rajkumar",
affiliation = "{Universidade Federal do Jata{\'{\i}} (UFJ)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Indian Institute of Technology
Indore}",
title = "Identification of the planetary magnetosphere boundaries with the
wavelet multi-resolution analysis",
journal = "Journal of Atmospheric and Solar-Terrestrial Physics",
year = "2022",
volume = "230",
pages = "e105842",
month = "Apr.",
keywords = "Haar wavelet, Planetary bow shocks, Planetary magnetopauses,
Planetary magnetosphere, Solar wind, Wavelet analysis.",
abstract = "The study of the properties and variations of planetary boundaries
such as magnetosheaths and bow shocks is an important subject for
magnetospheric dynamics and interaction with solar wind. The
identification of these boundaries is important for those studies.
Thus, the Haar wavelet decomposition technique is used to detect
the planetary magnetosphere boundaries and discontinuities. We use
the magnetometer data from the CASSINI and MESSENGER spacecraft to
identify the abrupt changes in the magnetic field when the
spacecraft crossed the magnetospheric bow shocks and magnetopauses
of Saturn and Mercury, respectively. The methodology based on
variance obtained by scale and edge identifications was shown to
be a simple tool to perform this task. The results confirm that
the Haar transform can efficiently identify the planetary
magnetosphere boundaries characterized by the abrupt magnetic
field changes. Due to this wavelet function to be a discrete
function it promotes the abrupt and sharp identification of the
boundaries. It is suggested that this technique can be applied to
detect the planetary boundaries as well as the discontinuities
such as the shock waves in the interplanetary space.",
doi = "10.1016/j.jastp.2022.105842",
url = "http://dx.doi.org/10.1016/j.jastp.2022.105842",
issn = "1364-6826",
language = "en",
targetfile = "bolzan_2022_identification.pdf",
urlaccessdate = "29 jun. 2024"
}