David Hogg

About

David W. Hogg is a Professor of Physics and Data Science in the Center for Cosmology and Particle Physics within the Department of Physics at New York University. He also serves as a Senior Research Scientist in the Astronomical Data Group at the Center for Computational Astrophysics of the Flatiron Institute and holds an affiliation with the Max-Planck-Institut für Astronomie. His main research interests are in observational cosmology, with a focus on approaches that utilize galaxies to infer the physical properties of the Universe. Additionally, he works on the properties and kinematics of stars in the Galaxy, as well as the measurement and discovery of planets around other stars. Throughout his work, he emphasizes the development of engineering systems that enable these scientific projects.

Research topics

• Computer Science
• Astrophysics
• Astronomy
• Physics
• Geology
• Remote sensing
• Meteorology
• Geography
• Operating system
• Chemistry

Selected publications

• The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

  The Astrophysical Journal Supplement Series · 2020 · 1323 citations

  Abstract This paper documents the 16th data release (DR16) from the Sloan Digital Sky Surveys (SDSS), the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the Southern Hemisphere survey of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2); new data from APOGEE-2 North are also included. DR16 is also notable as the final data release for the main cosmological program of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS)…

  DOI

• The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data

  The Astrophysical Journal Supplement Series · 2022 · 1188 citations

  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 release of the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, which reached its goal of surveying over 10,000 nearby galaxies. The complete release of the MaNGA Stellar Library accompanies this data, providing observations of almost 30,000 stars through the MaNGA instrument during bright time. DR1…

  DOI

• The Eighteenth Data Release of the Sloan Digital Sky Surveys: Targeting and First Spectra from SDSS-V

  The Astrophysical Journal Supplement Series · 2023 · 249 citations

  Abstract The eighteenth data release (DR18) of the Sloan Digital Sky Survey (SDSS) is the first one for SDSS-V, the fifth generation of the survey. SDSS-V comprises three primary scientific programs or “Mappers”: the Milky Way Mapper (MWM), the Black Hole Mapper (BHM), and the Local Volume Mapper. This data release contains extensive targeting information for the two multiobject spectroscopy programs (MWM and BHM), including input catalogs and selection functions for their numerous scientific ob…

  DOI

• Iron Snails: Nonequilibrium Dynamics and Spiral Abundance Patterns

  The Astrophysical Journal · 2025-06-30 · 8 citations

  articleOpen access

  Abstract Galaxies are not in a dynamical steady state: they continually undergo perturbations, e.g., from infalling dwarf galaxies and dark matter substructure. After a dynamical perturbation, stars phase mix toward a new steady state; in so doing, they generally form spiral structures, such as spiral density waves in galaxy disks and the Gaia Snail observed in the vertical phase-space density in the solar neighborhood. Structures in phase-space density can be hard to measure accurately, because…

  PublisherDOI

• Identification of 30,000 White Dwarf–Main-sequence Binary Candidates from Gaia DR3 BP/RP (XP) Low-resolution Spectra

  The Astrophysical Journal Supplement Series · 2025-07-31 · 5 citations

  articleOpen access

  Abstract White dwarf–main-sequence (WD–MS) binary systems are essential probes for understanding binary stellar evolution and play a pivotal role in constraining theoretical models of various transient phenomena. In this study, we construct a catalog of WD–MS binaries using Gaia DR3’s low-resolution BP/RP (XP) spectra. Our approach integrates a model-independent neural network for spectral modeling with Gaussian process classification to accurately identify WD–MS binaries among over 10 million s…

  PublisherDOI

Recent grants

• ITR - ASE - int+dmc+soc: Automated Astrometry for Time-Domain and Distributed Astrophysics

  NSF · $504k · 2004–2007

• Dynamical Models from Kinematic Data: The Milky Way Disk and Halo

  NSF · $147k · 2009–2011

• New Probabilistic Methods for Observational Cosmology

  NSF · $328k · 2015–2019

Frequent coauthors

• Hans‐Walter Rix

  Max Planck Institute for Astronomy

  172 shared

• Michael R. Blanton

  New York University

  166 shared

• Daniel Foreman-Mackey

  165 shared

• Adrian M. Price-Whelan

  151 shared

• Melissa Ness

  Columbia University

  146 shared

• David J. Schlegel

  122 shared

• Daniel J. Eisenstein

  Center for Astrophysics Harvard & Smithsonian

  102 shared

• Donald P. Schneider

  99 shared

Labs

• The Center for Cosmology and Particle PhysicsPI

Education

• PhD, Physics

  California Institute of Technology

  1998

• SB, Physics

  Massachusetts Institute of Technology

  1992

Similar researchers at New York University

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• David Heegerh-95
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