collaborators

5 papers

astro-ph.GA2019

Searching for Solar Siblings in APOGEE and DR2 with N-body Simulations

Jeremy J. Webb, Natalie Price-Jones, Jo Bovy +4

We make use of APOGEE and data to identify stars that are consistent with being born in the same association or star cluster as the Sun. We limit our analysis to stars that…

astro-ph.GA2019

Life in the fast lane: a direct view of the dynamics, formation, and evolution of the Milky Way's bar

Jo Bovy, Henry W. Leung, Jason A. S. Hunt +3

Studies of the ages, abundances, and motions of individual stars in the Milky Way provide one of the best ways to study the evolution of disk galaxies over cosmic time. The formati…

astro-ph.GA2019

Simultaneous calibration of spectro-photometric distances and the Gaia DR2 parallax zero-point offset with deep learning

Henry W. Leung, Jo Bovy

Gaia measures the five astrometric parameters for stars in the Milky Way, but only four of them (positions and proper motion, but not parallax) are well measured beyond a few kpc f…

astro-ph.GA2019

Dynamical heating across the Milky Way disc using APOGEE and

J. Ted Mackereth, Jo Bovy, Henry W. Leung +14

The kinematics of the Milky Way disc as a function of age are well measured at the solar radius, but have not been studied over a wider range of Galactocentric radii. Here, we meas…

astro-ph.GA2018

Deep learning of multi-element abundances from high-resolution spectroscopic data

Henry W. Leung, Jo Bovy

Deep learning with artificial neural networks is increasingly gaining attention, because of its potential for data-driven astronomy. However, this methodology usually does not prov…