Latent stochastic differential equations for modeling quasar variability
and inferring black hole properties
Fagin, J., Park, J.W., et al., arXiv:2304.04277, accepted at the ICLR 2023 Workshop on Physics for Machine Learning
Active galactic nuclei (AGN) are believed to be powered by the accretion of matter around supermassive black holes at the centers of galaxies. The variability of an AGN's brightness over time can reveal important information about the physical properties of the underlying black hole. The temporal variability is believed to follow a stochastic process, often represented as a damped random walk described by a stochastic differential equation (SDE). With upcoming wide-field surveys set to observe 100 million AGN in multiple bandpass filters, there is a need for efficient and automated modeling techniques that can handle the large volume of data...
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A light in the dark: searching for electromagnetic counterparts to black hole-black hole mergers in LIGO/Virgo O3 with the Zwicky Transient Facility
Graham, M.J. et al., ApJ, 2023, 942, 9
The accretion disks of active galactic nuclei (AGN) are promising locations for the merger of compact objects detected by gravitational wave (GW) observatories. Embedded within a baryon-rich, high density environment, mergers within AGN are the only GW channel where an electromagnetic (EM) counterpart must occur (whether detectable or not). Considering AGN with unusual flaring activity observed by the Zwicky Transient Facility (ZTF), we describe a search for candidate EM counterparts to binary black hole (BBH) mergers detected by LIGO/Virgo in O3. After removing probable false positives, we find nine candidate counterparts to black hole mergers mergers during O3 (seven in O3a, two in O3b) with...
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The Type 1 and Type 2 AGN dichotomy according to their ZTF
optical variability
Lopez-Navas, E., et al., 2023, MNRAS, 518, 1531
The scarce optical variability studies in spectrally classified Type 2
active galactic nuclei (AGNs) have led to the discovery of anomalous
objects that are incompatible with the simplest unified models
(UM). This paper focuses on the exploration of different variability
features that allows to separate between obscured, Type 2 AGNs, and
the variable, unobscured Type 1s. We analyse systematically the
Zwicky Transient Facility, 2.5 years long light curves of ~ 15000
AGNs from the Sloan Digital Sky Survey Data Release 16, which are
generally considered Type 2s due to the absence of strong broad
emission lines (BELs). Consistently with the expectations from the
UM, the variability features are distributed differently for
distinct populations, with spectrally classified weak Type 1s
showing 1 order of magnitude...
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