Gaussian process regression for astronomical time series

S Aigrain, D Foreman-Mackey - Annual Review of Astronomy …, 2023 - annualreviews.org
The past two decades have seen a major expansion in the availability, size, and precision of
time-domain data sets in astronomy. Owing to their unique combination of flexibility …

Active galactic nuclei: what's in a name?

P Padovani, DM Alexander, RJ Assef… - The Astronomy and …, 2017 - Springer
Active galactic nuclei (AGN) are energetic astrophysical sources powered by accretion onto
supermassive black holes in galaxies, and present unique observational signatures that …

Fast and scalable Gaussian process modeling with applications to astronomical time series

D Foreman-Mackey, E Agol… - The Astronomical …, 2017 - iopscience.iop.org
The growing field of large-scale time domain astronomy requires methods for probabilistic
data analysis that are computationally tractable, even with large data sets. Gaussian …

The man behind the curtain: X-rays drive the UV through NIR variability in the 2013 active galactic nucleus outburst in NGC 2617

BJ Shappee, JL Prieto, D Grupe… - The Astrophysical …, 2014 - iopscience.iop.org
ABSTRACT After the All-Sky Automated Survey for SuperNovae discovered a significant
brightening of the inner region of NGC 2617, we began a∼ 70 day photometric and …

A characteristic optical variability time scale in astrophysical accretion disks

CJ Burke, Y Shen, O Blaes, CF Gammie, K Horne… - Science, 2021 - science.org
Accretion disks around supermassive black holes in active galactic nuclei produce
continuum radiation at ultraviolet and optical wavelengths. Physical processes in the …

LSST: from science drivers to reference design and anticipated data products

Ž Ivezić, SM Kahn, JA Tyson, B Abel… - The Astrophysical …, 2019 - iopscience.iop.org
Major advances in our understanding of the universe have historically arisen from dramatic
improvements in our ability to “see.” We have developed progressively larger telescopes …

[图书][B] Statistics, data mining, and machine learning in astronomy: a practical Python guide for the analysis of survey data

Ž Ivezić, AJ Connolly, JT VanderPlas, A Gray - 2014 - books.google.com
As telescopes, detectors, and computers grow ever more powerful, the volume of data at the
disposal of astronomers and astrophysicists will enter the petabyte domain, providing …

The Sloan Digital Sky Survey reverberation mapping project: Hα and Hβ reverberation measurements from first-year spectroscopy and photometry

CJ Grier, JR Trump, Y Shen, K Horne… - The Astrophysical …, 2017 - iopscience.iop.org
We present reverberation mapping results from the first year of combined spectroscopic and
photometric observations of the Sloan Digital Sky Survey Reverberation Mapping Project …

A systematic search for close supermassive black hole binaries in the Catalina Real-time Transient Survey

MJ Graham, SG Djorgovski, D Stern… - Monthly Notices of …, 2015 - academic.oup.com
Hierarchical assembly models predict a population of supermassive black hole (SMBH)
binaries. These are not resolvable by direct imaging but may be detectable via periodic …

A possible close supermassive black-hole binary in a quasar with optical periodicity

MJ Graham, SG Djorgovski, D Stern, E Glikman… - Nature, 2015 - nature.com
Quasars have long been known to be variable sources at all wavelengths. Their optical
variability is stochastic and can be due to a variety of physical mechanisms; it is also well …