2.1k citations · 4k across the 34 of their papers we have counts for
19 papers · 1 filter
Mapping the Milky Way in 5-D with 170 Million Stars
Joshua S. Speagle, Catherine Zucker, Ana Bonaca +18
We present "augustus", a catalog of distance, extinction, and stellar parameter estimates to 170 million stars from and with dr…
Deep HST/UVIS imaging of the candidate dark galaxy CDG-1
Pieter van Dokkum, Dayi David Li, Roberto Abraham +4
CDG-1 is a tight grouping of four likely globular clusters in the Perseus cluster, and a candidate dark galaxy with little or no diffuse light. Here we provide new constraints on t…
Statistical association between the candidate repeating FRB 20200320A and a galaxy group
Masoud Rafiei-Ravandi, Kendrick M. Smith, D. Michilli +17
We present results from angular cross-correlations between select samples of CHIME/FRB repeaters and galaxies in three photometric galaxy surveys, which have shown correlations wit…
Galactic properties that favour star cluster formation: a statistical view
Samantha C. Berek, Marta Reina-Campos, Gwendolyn Eadie +1
The presence or absence of star clusters in galaxies, and the properties of star cluster populations compared to their host galaxy properties, are important observables for validat…
The HERBAL model: A hierarchical errors-in-variables Bayesian lognormal hurdle model for galactic globular cluster populations
Samantha C. Berek, Gwendolyn M. Eadie, Joshua S. Speagle +1
Galaxy stellar mass is known to be monotonically related to the size of the galaxy's globular cluster (GC) population for Milky Way sized and larger galaxies. However, the relation…
An FRB Sent Me a DM: Constraining the Electron Column of the Milky Way Halo with Fast Radio Burst Dispersion Measures from CHIME/FRB
Amanda M. Cook, Mohit Bhardwaj, B. M. Gaensler +25
The CHIME/FRB project has detected hundreds of fast radio bursts (FRBs), providing an unparalleled population to probe statistically the foreground media that they illuminate. One…
Poisson Cluster Process Models for Detecting Ultra-Diffuse Galaxies
Dayi Li, Alex Stringer, Patrick E. Brown +2
We propose a novel set of Poisson Cluster Process (PCP) models to detect Ultra-Diffuse Galaxies (UDGs), a class of extremely faint, enigmatic galaxies of substantial interest in mo…
Light from the Darkness: Detecting Ultra-Diffuse Galaxies in the Perseus Cluster through Over-densities of Globular Clusters with a Log-Gaussian Cox Process
Dayi Li, Gwendolyn M. Eadie, Roberto G. Abraham +6
We introduce a new method for detecting ultra-diffuse galaxies by searching for over-densities in intergalactic globular cluster populations. Our approach is based on an applicatio…
The Mass of the Milky Way from the H3 Survey
Jeff Shen, Gwendolyn M. Eadie, Norman Murray +8
The mass of the Milky Way is a critical quantity which, despite decades of research, remains uncertain within a factor of two. Until recently, most studies have used dynamical trac…
Clearing the hurdle: The mass of globular cluster systems as a function of host galaxy mass
Gwendolyn M. Eadie, William E. Harris, Aaron Springford
Current observational evidence suggests that all large galaxies contain globular clusters (GCs), while the smallest galaxies do not. Over what galaxy mass range does the transition…
Functional Data Analysis for Extracting the Intrinsic Dimensionality of Spectra: Application to Chemical Homogeneity in the Open Cluster M67
Aarya A. Patil, Jo Bovy, Gwendolyn Eadie +1
High-resolution spectroscopic surveys of the Milky Way have entered the Big Data regime and have opened avenues for solving outstanding questions in Galactic archaeology. However,…
Bayesian Inference of Globular Cluster Properties Using Distribution Functions
Gwendolyn M. Eadie, Jeremy J. Webb, Jeffrey S. Rosenthal
We present a Bayesian inference approach to estimating the cumulative mass profile and mean squared velocity profile of a globular cluster given the spatial and kinematic informati…
Galactic Mass Estimates using Dwarf Galaxies as Kinematic Tracers
Anika Slizewski, Xander Dufresne, Keslen Murdock +4
New mass estimates and cumulative mass profiles with Bayesian credible regions (c.r.) for the Milky Way (MW) are found using the Galactic Mass Estimator (GME) code and dwarf galaxy…
Estimating the Milky Way's Mass via Hierarchical Bayes: A Blind Test on MUGS2 Simulated Galaxies
Gwendolyn M. Eadie, Benjamin W. Keller, William E. Harris
In a series of three papers, Eadie et al. developed a hierarchical Bayesian method to estimate the Milky Way Galaxy's mass given a physical model for the potential, a measurement m…
The cumulative mass profile of the Milky Way as determined by globular cluster kinematics from Gaia DR2
Gwendolyn Eadie, Mario Jurić
We present new mass estimates and cumulative mass profiles (CMPs) with Bayesian credible regions for the Milky Way (MW) Galaxy, given the kinematic data of globular clusters as pro…
Globular Cluster Systems in Brightest Cluster Galaxies. III: Beyond Bimodality
W. E. Harris, S. M. Ciccone, G. M. Eadie +4
We present new deep photometry of the rich globular cluster (GC) systems around the Brightest Cluster Galaxies UGC 9799 (Abell 2052) and UGC 10143 (Abell 2147), obtained with the H…
Bayesian Mass Estimates of the Milky Way: including measurement uncertainties with hierarchical Bayes
Gwendolyn Eadie, Aaron Springford, William Harris
We present a hierarchical Bayesian method for estimating the total mass and mass profile of the Milky Way Galaxy. The new hierarchical Bayesian approach further improves the framew…
Bayesian Mass Estimates of the Milky Way II: The dark and light sides of parameter assumptions
Gwendolyn M. Eadie, William Harris
We present mass and mass profile estimates for the Milky Way Galaxy using the Bayesian analysis developed by Eadie et al (2015b) and using globular clusters (GCs) as tracers of the…
Estimating the Galactic Mass Profile in the Presence of Incomplete Data
Gwendolyn M. Eadie, William E. Harris, Lawrence M. Widrow
A powerful method to measure the mass profile of a galaxy is through the velocities of tracer particles distributed through its halo. Transforming this kind of data accurately to a…