Estimation of the size and structure of the broad line region using Bayesian approach
Amit Kumar Mandal, Suvendu Rakshit, C. S. Stalin, R. G. Petrov,, Blesson Mathew, Ram Sagar

TL;DR
This study uses Bayesian reverberation mapping to analyze the geometry and size of the broad line region in 57 AGN, revealing diverse structures and refining black hole mass estimates.
Contribution
It introduces a Bayesian modeling approach for BLR geometry using MCMC, applied to a large AGN sample, providing new insights into BLR structures and dynamics.
Findings
BLR transfer functions vary in shape, indicating diverse geometries.
BLR size correlates with luminosity with a slope around 0.58.
Non-linear emission line response observed in 93% of objects.
Abstract
Understanding the geometry and kinematics of the broad line region (BLR) of active galactic nuclei (AGN) is important to estimate black hole masses in AGN and study the accretion process. The technique of reverberation mapping (RM) has provided estimates of BLR size for more than 100 AGN now, however, the structure of the BLR has been studied for only a handful number of objects. Towards this, we investigated the geometry of the BLR for a large sample of 57 AGN using archival RM data. We performed systematic modeling of the continuum and emission line light curves using a Markov Chain Monte Carlo method based on Bayesian statistics implemented in PBMAP (Parallel Bayesian code for reverberation-MAPping data) code to constrain BLR geometrical parameters and recover velocity integrated transfer function. We found that the recovered transfer functions have various shapes such as…
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