7 papers
The Information Content of Quasar Variability Light Curves: How Well Can we Infer Stochastic Model Parameters?
Brendon J. Brewer, Geraint F. Lewis, Xiang Yu +1
Quasar variability, driven by multi-scale physical processing within a relativistic accretion disk, is commonly modelled with stochastic time series models. The simplest of these i…
Bayesian Hierarchical Models and the Maximum Entropy Principle
Brendon J. Brewer
Bayesian hierarchical models are frequently used in practical data analysis contexts. One interpretation of these models is that they provide an indirect way of assigning a prior f…
Can BLR line profile shape improve single-epoch black hole mass estimates?
Lizvette Villafaña, Tommaso Treu, Shu Wang +7
The virial coefficient (), which is meant to encapsulate broad-line region (BLR) geometry and kinematics, remains one of the largest sources of systematic uncertainty in black h…
A Bayesian Exploration of the Mass of Ursa Major III: Kinematics, Rotation and their influence on the Mass to Light Ratio
T. R. Adams, B. J. Brewer, G. F. Lewis
We investigate the kinematics of the potential ultra-faint dwarf galaxy (UFD) UMa III/U1 using Bayesian inference to search for the signal of any potential intrinsic rotation. The…
Rotational Kinematics in the Globular Cluster System of M31: Insights from Bayesian Inference
Yuan Li, Brendon J. Brewer, Geraint F. Lewis +1
As ancient stellar systems, globular clusters (GCs) offer valuable insights into the dynamical histories of large galaxies. Previous studies of GC populations in the inner and oute…
Revisiting The Cosmological Time Dilation of Distant Quasars: Influence of Source Properties and Evolution
Brendon J. Brewer, Geraint F. Lewis, Yuan Li
After decades of searching, cosmological time dilation was recently identified in the timescale of variability seen in distant quasars. Here, we expand on the previous analysis to…