From the 1 of 5 linked papers with an AI index.
5 papers
Charting the Galactic Underworld I: Comprehensive simulations of the kinematics, rates, and demographics of Milky Way black holes
Tom Wagg, Katelyn Breivik, Adrian M. Price-Whelan +3
With upcoming data from Roman, Gaia DR4, and spectroscopic surveys, we will soon have an unprecedented dataset of Milky Way black holes (BHs) to constrain their formation and evolu…
Expanding the SPISEA Stellar Population Synthesis Software to the Substellar Regime
Caitlin Begbie, Rachel Street, Katarzyna Kruszynska +4
The paper extends the SPISEA stellar population synthesis software to include brown dwarfs, providing updated substellar initial mass functions, atmospheric models, and evolutionar…
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…
Modeling Binary Lenses and Sources with the BAGLE Python Package
T. Dex Bhadra, J. R. Lu, Natasha S. Abrams +4
Gravitational microlensing is a powerful tool that can be used to find and measure the mass of isolated and dark compact objects. In many microlensing events, the lens, the source,…
The BAGLE Python Package for Bayesian Analysis of Gravitational Lensing Events
J. R. Lu, M. Medford, C. Y. Lam +8
We present the open-source Python package, BAGLE (Bayesian Analysis of Gravitational Lensing Events), which enables modeling and joint fitting of photometric and astrometric data s…