activity
20242026
collaborators

5 papers

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…