The Astrophysical Journal Supplement Series · 2012 · 117 citations · 105 references
Natural SciencesAstronomyPhysicsAstrophysicsInfrared AstronomyObservational AstronomyExtragalactic Infrared AstronomyInfrared SpectroscopyNear-infrared AstronomyNear-infrared SpectroscopyNoise Power Spectral DensityPower Density DistributionPower Spectral DensityPower Spectral Density AnalysisPower Spectral Density EstimationRandom NoiseSgr A* VariabilitySpectral Flux Density
We present a comprehensive data description for Ks-band measurements of Sgr A*. We characterize the statistical properties of the variability of Sgr A* in the near-infrared, which we find to be consistent with a single-state process forming a power-law distribution of the flux density. We discover a linear rms-flux relation for the flux-density range up to 12 mJy on a timescale of 24 minutes. This and the power-law flux density distribution implies a phenomenological, formally non-linear statistical variability model with which we can simulate the observed variability and extrapolate its behavior to higher flux levels and longer timescales. We present reasons why data with our cadence cannot be used to decide on the question whether the power spectral density of the underlying random process shows more structure at timescales between 25 min and 100 min compared to what is expected from a red noise random process.
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Spectral Analysis and Time Series
David B. Preston · Technometrics · 1983 · 4.9K citations
Testing for nonlinearity in time series: the method of surrogate data
James Theiler, Stephen Eubank, André Longtin et al. · Physica D Nonlinear Phenomena · 1992 · 3.8K citations
MONITORING STELLAR ORBITS AROUND THE MASSIVE BLACK HOLE IN THE GALACTIC CENTER
S. Gillessen, F. Eisenhauer, Sascha Trippe et al. · The Astrophysical Journal · 2009 · 1.8K citations · Full text
Natural Sciences, Astronomy, Physics +17