activity
20232026
most citedDisentangling the Black Hole Mass Spectrum with Photometric Microlensing Surveys

12 citations · 14 across the 10 of their papers we have counts for

collaborators

10 papers

astro-ph.SR2026

Black hole astrometric binaries in the Roman Galactic Bulge Time Domain Survey

Casey Y. Lam, Jessica R. Lu, Kareem El-Badry +6

The Nancy Grace Roman Space Telescope (Roman), NASA's next flagship mission, is currently scheduled to launch in August 2026. As part of its mission, Roman will conduct the Galacti…

astro-ph.GA2026

An Updated SynthPop Model for Microlensing Simulations I: Model Description & Evaluation

Macy J. Huston, Alison L. Crisp, Marz Newman +21

The optimization and interpretation of microlensing surveys depends on having an accurate model of the Milky Way. However, existing population synthesis Galactic modeling tools oft…

astro-ph.HE2026

Astrometric microlensing probes of the isolated neutron star population with Roman

Zofia Kaczmarek, Abby Halasi-Kun, Peter McGill +2

Notoriously hard to detect and study, isolated neutron stars (NS) could provide valuable answers to fundamental questions about stellar evolution and explosion physics. With the up…

astro-ph.GA2025

Hints of an Anomalous Lens Population towards the Galactic Bulge

Scott E. Perkins, Peter McGill, William A. Dawson +4

The dark and dynamic parts of the Galaxy, including the bulk shape and movement of the Galactic Bulge and characteristics of dark compact object populations, such as a hypothetical…

astro-ph.SR2024

On Finding Black Holes in Photometric Microlensing Surveys

Zofia Kaczmarek, Peter McGill, Scott E. Perkins +5

There are expected to be millions of isolated black holes in the Galaxy resulting from the death of massive stars. Measuring the abundance and properties of this remnant population…

astro-ph.IM2024

popclass: a python package for classifying microlensing events

Greg Sallaberry, Zofia Kaczmarek, Peter McGill +3

popclass is a python package that provides a flexible, probabilistic framework for classifying the lens of a gravitational microlensing event. popclass allows a user to match chara…

astro-ph.HE2024

Investigating the mixing between two black hole populations in LIGO-Virgo-KAGRA GWTC-3

Ming-Feng Ho, Scott Ellis Perkins, Simeon Bird +4

We introduce a population model to analyze the mixing between hypothesised power-law and Gaussian bump black hole populations in the latest gravitational wave cat…

astro-ph.GA2023★ 2 cited

Astrometric Microlensing by Primordial Black Holes with The Roman Space Telescope

James Fardeen, Peter McGill, Scott E. Perkins +5

Primordial Black Holes (PBHs) could explain some fraction of dark matter and shed light on many areas of early-universe physics. Despite over half a century of research interest, a…

astro-ph.GA2023

Spatially resolved microlensing timescale distributions across the Galactic bulge with the VVV survey

Zofia Kaczmarek, Peter McGill, N. Wyn Evans +5

We analyze 1602 microlensing events found in the VISTA Variables in the Via Lactea (VVV) near-infrared (NIR) survey data. We obtain spatially-resolved, efficiency-corrected timesca…

astro-ph.IM2023★ 12 cited

Disentangling the Black Hole Mass Spectrum with Photometric Microlensing Surveys

Scott Ellis Perkins, Peter McGill, William Dawson +8

From the formation mechanisms of stars and compact objects to nuclear physics, modern astronomy frequently leverages surveys to understand populations of objects to answer fundamen…