Likelihood for Detection of Sub-parsec Supermassive Black Hole Binaries in Spectroscopic Surveys
Bryan J. Pflueger (1), Khai Nguyen (1), Tamara Bogdanovic (1), Michael, Eracleous (2), Jessie C. Runnoe (3), Steinn Sigurdsson (2), and Todd Boroson, (4) ((1) Georgia Institute of Technology, (2) Pennsylvania State University,, (3) University of Michigan

TL;DR
This paper presents an analytic model to estimate the likelihood of detecting sub-parsec supermassive black hole binaries in spectroscopic surveys, considering orbital evolution, survey selection effects, and emission line signatures.
Contribution
It introduces a modular analytic framework combining orbital evolution and survey effects to predict detection probabilities of SBHBs in spectroscopic data.
Findings
Detection likelihood depends on orbital evolution speed and survey cadence.
Spectroscopic surveys are sensitive to binaries with separations less than a few times 10^4 r_g.
For every detected SBHB, there are over 200 similar systems at larger separations.
Abstract
Motivated by observational searches for sub-parsec supermassive black hole binaries (SBHBs) we develop a modular analytic model to determine the likelihood for detection of SBHBs by ongoing spectroscopic surveys. The model combines the parametrized rate of orbital evolution of SBHBs in circumbinary disks with the selection effects of spectroscopic surveys and returns a multivariate likelihood for SBHB detection. Based on this model we find that in order to evolve into the detection window of the spectroscopic searches from larger separations in less than a Hubble time, SBHBs must, on average, experience angular momentum transport faster than that provided by a disk with accretion rate . Spectroscopic searches with yearly cadence of observations are in principle sensitive to binaries with orbital separations (…
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Taxonomy
TopicsAstronomical Observations and Instrumentation · Astrophysical Phenomena and Observations · Pulsars and Gravitational Waves Research
