Searching for Intermediate Mass Black Holes in galaxies with Low Luminosity AGN: A multiple-method approach
Filippos Koliopanos, Bogdan C. Ciambur, Alister W. Graham, Natalie A., Webb, Mickael Coriat, Burcin Mutlu-Pakdil, Benjamin L. Davis, Olivier Godet,, Didier Barret, Marc S. Seigar

TL;DR
This study employs multiple scaling relations and the fundamental plane to estimate black hole masses in low luminosity AGN, finding they are low-mass but not intermediate-mass black holes, and demonstrating the robustness of a multi-method approach.
Contribution
It introduces a multi-method approach combining various scaling relations and the fundamental plane to reliably estimate black hole masses in LLAGN.
Findings
All studied LLAGN have low-mass black holes (~10^6.5 M_sun)
Methods produced consistent mass estimates within 1-sigma
Identified a bulge-less galaxy and questioned previous AGN classifications
Abstract
Aims: This work is the first stage of a campaign to search for IMBHs, in low luminosity AGN (LLAGN) and dwarf galaxies. An additional, and equally important, aim of this pilot study is to investigate the consistency between the predictions of several BH scaling relations and the fundamental plane of black hole activity (FP-BH). Methods: We use X-ray and radio luminosity relations in accreting BHs, along with the latest scaling relations between the mass of the central black hole (MBH) and the properties of its host spheroid, to predict MBH in seven LLAGN, that were previously reported to be in the IMBH regime. Namely, we use the recently re-evaluated MBH - Msph (Msph : spheroid absolute magnitude at 3.6 microm) scaling relation for spiral galaxies, the MBH - nsph (nsph : major axis Sersic index of the bulge) relation, the MBH - PA (PA: pitch angle) relation and the FP-BH for weakly…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
