The Astrophysical Journal (Jan 2024)

Reliable Identification of Binary Supermassive Black Holes from Rubin Observatory Time-domain Monitoring

  • Megan C. Davis,
  • Kaylee E. Grace,
  • Jonathan R. Trump,
  • Jessie C. Runnoe,
  • Amelia Henkel,
  • Laura Blecha,
  • W. N. Brandt,
  • J. Andrew Casey-Clyde,
  • Maria Charisi,
  • Caitlin A. Witt

DOI
https://doi.org/10.3847/1538-4357/ad276e
Journal volume & issue
Vol. 965, no. 1
p. 34

Abstract

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Periodic signatures in time-domain observations of quasars have been used to search for binary supermassive black holes (SMBHs). These searches, across existing time-domain surveys, have produced several hundred candidates. The general stochastic variability of quasars, however, can masquerade as a false-positive periodic signal, especially when monitoring cadence and duration are limited. In this work, we predict the detectability of binary SMBHs in the upcoming Rubin Observatory Legacy Survey of Space and Time (LSST). We apply computationally inexpensive sinusoidal curve fits to millions of simulated LSST Deep Drilling Field light curves of both single, isolated quasars and binary quasars. The period and phase of simulated binary signals can generally be disentangled from quasar variability. Binary amplitude is overestimated and poorly recovered for two-thirds of potential binaries due to quasar accretion variability. Quasars with strong intrinsic variability can obscure a binary signal too much for recovery. We also find that the most luminous quasars mimic current binary candidate light curves and their properties: The false-positive rates are 60% for these quasars. The reliable recovery of binary period and phase for a wide range of input binary LSST light curves is promising for multi-messenger characterization of binary SMBHs. However, pure electromagnetic detections of binaries using photometric periodicity with amplitude greater than 0.1 mag will result in samples that are overwhelmed by false positives. This paper represents an important and computationally inexpensive way forward for understanding the true and false-positive rates for binary candidates identified by Rubin.

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