Identifying massive black hole binaries via light curve variability in optical time-domain surveys

Accreting massive black hole binaries (MBHBs) often display periodic variations in their emitted radiation, thus providing a distinctive signature for their identification. For this work we explored the identification of MBHBs via optical variability studies by simulating the observations of the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). To this end, we generated a population of MBHBs using the <ns0:monospace>L-Galaxies</ns0:monospace> semi-analytical model, focusing on systems with observed orbital periods ≤5 years. This ensures that at least two complete cycles of emission could be observed within the ten-year mission of LSST. To construct mock optical light curves, we first calculated the MBHB average magnitudes in each LSST filter by constructing a self-consistent spectral energy distribution that accounts for the binary accretion history and the emission from a circumbinary disc and mini-discs. We then added variability modulations by using six 3D hydrodynamic simulations of accreting MBHBs with different eccentricities and mass ratios as templates. To make the light curves more realistic, we mimicked the LSST observation patterns and cadence, and we included stochastic variability and LSST photometric errors. Our results show from 10−2 to 10−1 MBHBs per square degree, with light curves that are potentially detectable by LSST. These systems are mainly low-redshift (z ≲ 1.5), massive (M ≳ 107 M⊙), of equal mass (q ≈ 0.9), and relatively eccentric (e ≈ 0.6), and have modulation periods of around 3.5 years. Using periodogram analysis, we find that LSST variability studies have a higher success rate (≳50%) for systems with high eccentricities (e ≳ 0.6). Additionally, at fixed eccentricity, detections tend to favour systems with more unequal mass ratios. The false alarm probability (FAP) shows similar trends. Circular binaries systematically feature high FAP values (≳10−1). Eccentric systems have low-FAP tails, down to ≈10−8.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-27
DOI
https://doi.org/10.1051/0004-6361/202557029/pdf
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying massive black hole binaries via light curve variability in optical time-domain surveys

Alfredo C. Chiesa, David Izquierdo–Villalba, Daniele Spinoso, Fabiola Cocchiararo et al.
Springer Link (Chiba Institute of Technology)
Astrophysical Phenomena and Observations
article

Identifying massive black hole binaries via light curve variability in optical time-domain surveys

Alfredo C. Chiesa, David Izquierdo–Villalba, Daniele Spinoso, Fabiola Cocchiararo, Alberto Sesana, Silvia Bonoli, Alessia Franchini
article en

Abstract

Accreting massive black hole binaries (MBHBs) often display periodic variations in their emitted radiation, thus providing a distinctive signature for their identification. For this work we explored the identification of MBHBs via optical variability studies by simulating the observations of the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). To this end, we generated a population of MBHBs using the <ns0:monospace>L-Galaxies</ns0:monospace> semi-analytical model, focusing on systems with observed orbital periods ≤5 years. This ensures that at least two complete cycles of emission could be observed within the ten-year mission of LSST. To construct mock optical light curves, we first calculated the MBHB average magnitudes in each LSST filter by constructing a self-consistent spectral energy distribution that accounts for the binary accretion history and the emission from a circumbinary disc and mini-discs. We then added variability modulations by using six 3D hydrodynamic simulations of accreting MBHBs with different eccentricities and mass ratios as templates. To make the light curves more realistic, we mimicked the LSST observation patterns and cadence, and we included stochastic variability and LSST photometric errors. Our results show from 10−2 to 10−1 MBHBs per square degree, with light curves that are potentially detectable by LSST. These systems are mainly low-redshift (z ≲ 1.5), massive (M ≳ 107 M⊙), of equal mass (q ≈ 0.9), and relatively eccentric (e ≈ 0.6), and have modulation periods of around 3.5 years. Using periodogram analysis, we find that LSST variability studies have a higher success rate (≳50%) for systems with high eccentricities (e ≳ 0.6). Additionally, at fixed eccentricity, detections tend to favour systems with more unequal mass ratios. The false alarm probability (FAP) shows similar trends. Circular binaries systematically feature high FAP values (≳10−1). Eccentric systems have low-FAP tails, down to ≈10−8.

Springer Link (Chiba Institute of Technology)
European Commission, Ministerio de Ciencia e Innovación, Horizon 2020 Framework Programme
Affordable and clean energy
Openalex Percentile: Top 47%
Astrophysical Phenomena and Observations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.