activity
20152025
most citedThe Zwicky Transient Facility: System Overview, Performance, and First Results

2.1k citations · 4k across the 34 of their papers we have counts for

collaborators

34 papers

astro-ph.GA2025★ 5 cited

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…

astro-ph.GA2024★ 3 cited

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…

astro-ph.HE2023

Updating the first CHIME/FRB catalog of fast radio bursts with baseband data

FRB Collaboration, Mandana Amiri, Bridget C. Andersen +57

In 2021, a catalog of 536 fast radio bursts (FRBs) detected with the Canadian Hydrogen Intensity Mapping Experiment (CHIME) radio telescope was released by the CHIME/FRB Collaborat…

astro-ph.GA2023

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…

astro-ph.GA2023★ 3 cited

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…

astro-ph.HE2023

A CHIME/FRB study of burst rate and morphological evolution of the periodically repeating FRB 20180916B

Ketan R. Sand, Daniela Breitman, Daniele Michilli +31

FRB 20180916B is a repeating Fast Radio Burst (FRB) with a 16.3-day periodicity in its activity. In this study, we present morphological properties of 60 FRB 20180916B bursts detec…

astro-ph.HE2023★ 1 cited

Do All Fast Radio Bursts Repeat? Constraints from CHIME/FRB Far Side-Lobe FRBs

Hsiu-Hsien Lin, Paul Scholz, Cherry Ng +46

We report ten fast radio bursts (FRBs) detected in the far side-lobe region (i.e., off-meridian) of the Canadian Hydrogen Intensity Mapping Experiment (CHIME) from 2…

astro-ph.GA2023★ 8 cited

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…

astro-ph.IM2023★ 8 cited

Practical Guidance for Bayesian Inference in Astronomy

Gwendolyn M. Eadie, Joshua S. Speagle, Jessi Cisewski-Kehe +5

In the last two decades, Bayesian inference has become commonplace in astronomy. At the same time, the choice of algorithms, terminology, notation, and interpretation of Bayesian i…

astro-ph.GA2023★ 68 cited

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…

astro-ph.GA2023★ 3 cited

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…

astro-ph.HE2022★ 10 cited

Power-law distribution and scale-invariant structure from the first CHIME/FRB Fast Radio Burst catalog

Zi-Han Wang, Yu Sang, Xue Zhang

We study the statistical property of fast radio bursts (FRBs) based on a selected sample of 190 one-off FRBs in the first CHIME/FRB catalog. Three power law models are used in the…

astro-ph.IM2022★ 3 cited

Improving Power Spectrum Estimation using Multitapering: Efficient asteroseismic analyses for understanding stars, the Milky Way, and beyond

Aarya A. Patil, Gwendolyn M. Eadie, Joshua S. Speagle +1

Asteroseismic time-series data have imprints of stellar oscillation modes, whose detection and characterization through time-series analysis allows us to probe stellar interior phy…

astro-ph.GA2022★ 10 cited

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…

astro-ph.GA2021★ 48 cited

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…

astro-ph.GA2021★ 39 cited

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…

astro-ph.GA2021

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,…

astro-ph.GA2021★ 2 cited

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…

astro-ph.GA2021★ 14 cited

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…

astro-ph.HE2021★ 484 cited

The First CHIME/FRB Fast Radio Burst Catalog

FRB Collaboration, Mandana Amiri, Bridget C. Andersen +73

We present a catalog of 536 fast radio bursts (FRBs) detected by the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst (CHIME/FRB) Project between 400 and 800 MHz fro…

astro-ph.SR2020★ 7 cited

13 Years of P Cygni Spectropolarimetry: Investigating Mass-loss Through H, Periodicity, and Ellipticity

Keyan Gootkin, Trevor Dorn-Wallenstein, Jamie R. Lomax +7

We report on over 13 years of optical and near-ultraviolet spectropolarimetric observations of the famous Luminous Blue Variable (LBV), P Cygni. LBVs are a critical transitional ph…

astro-ph.IM2019

Opportunities and Outcomes for Postdocs in Canada

Henry Ngo, Helen Kirk, Toby Brown +4

Currently, postdoctoral fellow (PDF) researchers in Canada face challenges due to the precarious nature of their employment and their overall low compensation and benefits coverage…

astro-ph.IM2019

LRP2020: Astrostatistics in Canada

Gwendolyn Eadie, Arash Bahramian, Pauline Barmby +16

(Abridged from Executive Summary) This white paper focuses on the interdisciplinary fields of astrostatistics and astroinformatics, in which modern statistical and computational me…

astro-ph.IM2019★ 2 cited

LRP2020: Machine Learning Advantages in Canadian Astrophysics

K. A. Venn, S. Fabbro, A Liu +12

The application of machine learning (ML) methods to the analysis of astrophysical datasets is on the rise, particularly as the computing power and complex algorithms become more po…