A catalogue of candidate milli-parsec separation massive black hole binaries from long term optical photometric monitoring

TL;DR

This study identifies 36 candidate massive black hole binaries with periodic optical variability using long-term survey data, providing a valuable catalogue for understanding black hole mergers and evolution.

Contribution

The paper presents a new catalogue of 36 candidate massive black hole binaries identified through long-term optical monitoring, incorporating rigorous analysis to distinguish true periodicity from red noise.

Findings

36 MBBH candidates with sinusoidal variability identified

Periodicities confirmed with Lomb-Scargle analysis and red noise modeling

A catalogue of 221 weaker candidates for future validation

Abstract

The role of mergers in the evolution of massive black holes is still unclear, and their dynamical evolution, from the formation of pairs to binaries and the final coalescence, carries large physical uncertainties. The identification of the elusive population of close massive binary black holes (MBBHs) is crucial to understand the importance of mergers in the formation and evolution of supermassive black holes. It has been proposed that MBBHs may display periodic optical/ultra-violet variability. Optical surveys provide photometric measurements of a large variety of objects, over decades and searching for periodicities coming from galaxies in their long-term optical/UV lightcurves may help identify new MBBH candidates. Using the Catalina Real-Time Transient Survey (CRTS) and Zwicky Transient Facility (ZTF) data, we studied the long-term periodicity of variable sources in the centre of galaxies identified using the galaxy catalogue Glade+. We report 36 MBBHs candidates, with sinusoidal variability with amplitudes between 0.1 and 0.8 magnitudes over 3-5 cycles, through fitting 15 years of data. The periodicities are also detected when adding a red noise contribution to the sine model. Moreover, the periodicities are corroborated through Generalized Lomb Scargle (GLS) periodograms analysis, providing supplementary evidence for the observed modulation. We also indicate 58 objects, that were previously proposed to be MBBH candidates from analysis of CRTS data only. Adding ZTF data clearly shows that the previously claimed modulation is due to red noise. We also created a catalogue of 221 weaker candidates which require further observations over the coming years to help validate their nature. Based on our 36 MBBHs candidates, we expect ~20 MBBHs at z<1, which is commensurate with simulations. Further observations will help confirm these results.