7 papers
Snapshots of r-process production in the Milky Way disk
Sarah G. Kane, Stephanie Monty, Madeleine McKenzie +9
Stars enhanced in heavy neutron capture elements like europium (Eu) provide a window into the rarest and most exotic nucleosynthetic events. Most Eu-enhanced stars discovered thus…
Predictions for astrometric microlensing in Gaia
Zofia Kaczmarek, David Sweeney, Łukasz Wyrzykowski +1
ESA's astrometric space mission Gaia is uniquely positioned for microlensing studies thanks to its all-sky coverage and simultaneous astrometric and photometric observations. In Ga…
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…
A value-added catalogue of neural network-based europium abundances for GALAH DR4
Sarah G. Kane, Zofia Kaczmarek, Andrew Garner +3
The rapid neutron-capture (-process) element europium (Eu) is a valuable tracer of neutron star mergers and other rare nucleosynthetic events. The stellar spectroscopic survey G…
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…
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…
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…