TL;DR
WISE2MBH is an efficient algorithm that estimates supermassive black hole masses using WISE infrared data, enabling large-scale galaxy and black hole demographic studies with high accuracy up to redshift 0.5.
Contribution
This work introduces WISE2MBH, a novel scaling-based method that derives black hole and galaxy parameters from WISE catalogues, including morphological classification and bulge-to-total ratios.
Findings
Achieves a Spearman correlation of ~0.8 with existing $M_{BH}$ measurements.
Provides ~1.9 million $M_{BH}$ estimates for the ETHER sample, mostly new.
Derives a local black hole mass function consistent with literature.
Abstract
Supermassive Black Holes (SMBHs) are commonly found at the centers of massive galaxies. Estimating their masses () is crucial for understanding galaxy-SMBH co-evolution. We present WISE2MBH, an efficient algorithm that uses cataloged Wide-field Infrared Survey Explorer (WISE) magnitudes to estimate total stellar mass () and scale this to bulge mass (), and , estimating the morphological type () and bulge fraction () in the process. WISE2MBH uses scaling relations from the literature or developed in this work, providing a streamlined approach to derive these parameters. It also distinguishes QSOs from galaxies and estimates the galaxy using WISE colors with a relation trained with galaxies from the 2MASS Redshift Survey. WISE2MBH performs well up to thanks to K-corrections in magnitudes and…
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