publications

Publications by categories in reversed chronological order.

2024

  1. How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
    Tri Nguyen, Francisco Villaescusa-Navarro, Siddharth Mishra-Sharma, and 16 more authors
    arXiv e-prints, Sep 2024
  2. FLORAH: a generative model for halo assembly histories
    Tri Nguyen, Chirag Modi, L. Y. Aaron Yung, and 1 more author
    Monthly Notices of the Royal Astronomical Society, Sep 2024
  3. Synthetic Gaia DR3 Surveys from the FIRE Cosmological Simulations of Milky Way-mass Galaxies
    Tri Nguyen, Xiaowei Ou, Nondh Panithanpaisal, and 4 more authors
    The Astrophysical Journal, May 2024
  4. Characterizing ultra-high-redshift dark matter halo demographics and assembly histories with the GUREFT simulations
    L. Y. Aaron Yung, Rachel S. Somerville, Tri Nguyen, and 3 more authors
    Monthly Notices of the Royal Astronomical Society, Jun 2024
  5. Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations
    Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro, and 27 more authors
    arXiv e-prints, May 2024
  6. The Escape Velocity Profile of the Milky Way from Gaia DR3
    Cian Roche, Lina Necib, Tongyan Lin, and 2 more authors
    arXiv e-prints, Jan 2024

2023

  1. Uncovering dark matter density profiles in dwarf galaxies with graph neural networks
    Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, and 1 more author
    Physics Review D, Feb 2023
  2. Demonstration of Machine Learning-assisted real-time noise regression in gravitational wave detectors
    Muhammed Saleem, Alec Gunny, Chia-Jui Chou, and 17 more authors
    arXiv e-prints, Jun 2023
  3. GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run
    R. Abbott, T. D. Abbott, F. Acernese, and 1657 more authors
    Physical Review X, Oct 2023

2022

  1. Hardware-accelerated inference for real-time gravitational-wave astronomy
    Alec Gunny, Dylan Rankin, Jeffrey Krupa, and 7 more authors
    Nature Astronomy, May 2022

2021

  1. Enhancing gravitational-wave science with machine learning
    Elena Cuoco, Jade Powell, Marco Cavaglià, and 23 more authors
    Machine Learning: Science and Technology, Jan 2021

2020

  1. Noise reduction in gravitational-wave data via deep learning
    Rich Ormiston, Tri Nguyen, Michael Coughlin, and 2 more authors
    Physical Review Research, Jul 2020