218 citations · 1k across the 15 of their papers we have counts for
16 papers
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles +26
We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, the MU…
Estimating Probability Densities with Transformer and Denoising Diffusion
Henry W. Leung, Jo Bovy, Joshua S. Speagle
Transformers are often the go-to architecture to build foundation models that ingest a large amount of training data. But these models do not estimate the probability density distr…
Towards an astronomical foundation model for stars with a Transformer-based model
Henry W. Leung, Jo Bovy
Rapid strides are currently being made in the field of artificial intelligence using Transformer-based models like Large Language Models (LLMs). The potential of these methods for…
Decoding the age-chemical structure of the Milky Way disk: An application of Copulas and Elicitable Maps
Aarya A. Patil, Jo Bovy, Sebastian Jaimungal +2
In the Milky Way, the distribution of stars in the vs. and vs. age planes holds essential information about the history of sta…
A variational encoder-decoder approach to precise spectroscopic age estimation for large Galactic surveys
Henry W. Leung, Jo Bovy, J. Ted Mackereth +1
Constraints on the formation and evolution of the Milky Way Galaxy require multi-dimensional measurements of kinematics, abundances, and ages for a large population of stars. Ages…
Bouncing inside the horizon and scrambling delays
Gary T. Horowitz, Henry Leung, Leonel Queimada +1
We study charged perturbations of the thermofield double state dual to a charged AdS black hole. We model the perturbation by a massless charged shell in the bulk. Unlike the neutr…
A direct measurement of the distance to the Galactic center using the kinematics of bar stars
Henry W. Leung, Jo Bovy, J. Ted Mackereth +3
The distance to the Galactic center is a fundamental parameter for understanding the Milky Way, because all observations of our Galaxy are made from our heliocentric referenc…
The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data
Abdurro'uf, Katherine Accetta, Conny Aerts +337
This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete…
Chemical Cartography with APOGEE: Mapping Disk Populations with a Two-Process Model and Residual Abundances
David H. Weinberg, Jon A. Holtzman, Jennifer A. Johnson +33
We apply a novel statistical analysis to measurements of 16 elemental abundances in 34,410 Milky Way disk stars from the final data release (DR17) of APOGEE-2. Building on recent w…
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…
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…
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…
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…
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…
Studies of the Long Secondary Periods in Pulsating Red Giants. II. Lower-Luminosity Stars
John R. Percy, Henry Leung
We have used AAVSO visual and photoelectric V data, and the AAVSO time-series package VSTAR and the Lomb-Scargle time-series algorithm to determine improved pulsation periods, "lon…
Studies of the Long Secondary Periods in Pulsating Red Giants
John R. Percy, Emily Deibert
We have used systematic, sustained visual observations from the AAVSO International Database, and the AAVSO time-series analysis package VSTAR to study the unexplained "long second…