@InProceedings{CintraFernRosaSodr:2018:StStTy,
author = "Cintra, M. A. U. and Fernandes, F. C. R. and Rosa, Reinaldo
Roberto and Sodr{\'e}, Z. A. L.",
affiliation = "{Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and
{Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade do Vale
do Para{\'{\i}}ba (UNIVAP)}",
title = "Studying the stochasticity of type I solar storms with gradient
spectra",
year = "2018",
organization = "Latin American Conference on Space Geophysics, 11. (COLAGE)",
abstract = "It is known that Type I solar emissions are generated by
non-thermal electrons accelerated by structural variations in the
active regions magnetic configuration. Most of the Type I bursts
is recorded as a sequence of individual bursts characterizing the
so-called chains of Type I. They, also, could be associated with
solar flares. In this case, the flare dissipative energy is added
to the energy released by small changes in magnetic distribution,
which increases the duration of Type I storms. One of the major
challenges to this context is to characterize the underlying
stochastic process best suited to describe the noise patterns of
Type I storms. We consider that a first step in this direction is
to find or discard similarities with type 1/f noises. In this
work, by applying the Gradient Pattern Analysis (GPA), we compared
the gradient spectra of Type I storms with canonical gradient
spectra generated by White, Pink and Red Noises. The data are time
series of Type I bursts recorded in metric wavelengths (65 - 865
MHz) by the Compound Astronomical Low cost Low frequency
Instrument for Spectroscopy and Transportable Observatory
(CALLISTO) spectrographs. The results accurately indicate that the
gradient spectra of Type I solar noise storms captured from
CALLISTO are distinct from all type 1/f noises. Thus, considering
the results presented here, purely stochastic mechanisms can be
discarded as being the major underlying process associated with
the plasma dynamics of the phenomenon. In addition, we discuss,
from a technical perspective, the advantages of applying GPA over
Power Spectral Density (PSD) due to its greater robustness for
short series.",
conference-location = "Buenos Aires, Argentina",
conference-year = "16-20 abr.",
language = "en",
urlaccessdate = "27 abr. 2024"
}