Abstract
In the. present paper, we investigate the multifractality signatures in
hourly time series extracted from the CoRoTspacecraft database. Our
analysis is intended to highlight the possibility that astrophysical
time series can be members. of a particular class of complex and dynamic
processes, which require several photometric variability diagnostics to
characterize their structural and topological properties. To achieve
this goal, we search for contributions due to a. nonlinear temporal
correlation and effects caused by heavier tails than the Gaussian
distribution, using a detrending moving average algorithm for
one-dimensional multifractal signals (MFDMA). We observe that the
correlation structure is the main source of multifractality, while
heavy-tailed distribution plays a minor role in generating the
multifractal effects. Our work also reveals that the rotation period of
stars is inherently scaled by the degree of multifractality. As a
result, analyzing the multifractal degree of the. referred series, we
uncover an evolution of multifractality from shorter to larger periods.
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