X-ray Reverberation Mapping of Ark 564 using Gaussian Process Regression

Kavli Affiliate: Daniel R. Wilkins

| First 5 Authors: Collin D. Lewin, Erin Kara, Daniel R. Wilkins, Guglielmo Mastroserio, Javier A. GarcĂ­a

| Summary:

Ark 564 is an extreme high-Eddington Narrow-line Seyfert 1 galaxy, known for
being one of the brightest, most rapidly variable soft X-ray AGN, and for
having one of the lowest temperature coronae. Here we present a 410-ks NuSTAR
observation and two 115-ks XMM-Newton observations of this unique source, which
reveal a very strong, relativistically broadened iron line. We compute the
Fourier-resolved time lags by first using Gaussian processes to interpolate the
NuSTAR gaps, implementing the first employment of multi-task learning for
application in AGN timing. By fitting simultaneously the time lags and the flux
spectra with the relativistic reverberation model RELTRANS, we constrain the
mass at $2.3^{+2.6}_{-1.3} times 10^6M_odot$, although additional components
are required to describe the prominent soft excess in this source. These
results motivate future combinations of machine learning, Fourier-resolved
timing, and the development of reverberation models.

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