@InProceedings{FrancoEcheFraeBolz:2018:StStCo,
author = "Franco, Adriane Marques de Souza and Echer, Ezequiel and Fraenz,
Markus and Bolzan, Mauricio Jose Alves",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Max
Planck Institute for Solar System Research} and {Universidade
Federal de Goi{\'a}s (UFG)}",
title = "A statistical study of correlation length around Venus",
year = "2018",
organization = "Latin American Conference on Space Geophysics, 11. (COLAGE)",
abstract = "A statistical study of the correlation scale on structures around
Venus was developed using magnetic field and electron density data
obtained from the Magnetometer and the Analyzer of Space Plasmas
and Energetic Atoms (ASPERA-4) instruments (respectively), on
board of the mission Venus Express (VEX). The correlation scales
have been calculated by the correlation length, which is a
characteristic length over which fluctuations in a variable are
correlated. We limited the study to the frequency range 8 to 50
mHz because previous studies have shown that ULF (Ultra Low
Frequency) waves produced in the foreshock have highest power in
this range. Frequencies below 8mHz were filtered out using the
Fourier transform. In this study the correlation length was
calculated by an exponential fit employed to the autocorrelation
curve. The auto-correlation function was calculated lagged by a
time between 0 and 60 seconds and sliding a window of 120s width
across the data. We also converted the obtained correlation length
from temporal to spatial scale by multiplying by the solar wind
velocity. Here, the ASPERA-4/IMA (Ions Mass Analyzer) velocity was
used. In order to find the size of the structure in different
regions of the Venus magnetosphere, statistical maps showing the
median correlation length in spatial bins around Venus have been
produced covering the all data from the VEX mission (May 2006 to
September 2014).",
conference-location = "Buenos Aires, Argentina",
conference-year = "16-20 abr.",
language = "en",
urlaccessdate = "28 abr. 2024"
}