The Astrophysical Journal (Jan 2025)
Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine Learning and Simulations
- Jonah C. Rose,
- Paul Torrey,
- Francisco Villaescusa-Navarro,
- Mariangela Lisanti,
- Tri Nguyen,
- Sandip Roy,
- Kassidy E. Kollmann,
- Mark Vogelsberger,
- Francis-Yan Cyr-Racine,
- Mikhail V. Medvedev,
- Shy Genel,
- Daniel Anglés-Alcázar,
- Nitya Kallivayalil,
- Bonny Y. Wang,
- Belén Costanza,
- Stephanie O’Neil,
- Cian Roche,
- Soumyodipta Karmakar,
- Alex M. Garcia,
- Ryan Low,
- Shurui Lin,
- Olivia Mostow,
- Akaxia Cruz,
- Andrea Caputo,
- Arya Farahi,
- Julian B. Muñoz,
- Lina Necib,
- Romain Teyssier,
- Julianne J. Dalcanton,
- David Spergel
Affiliations
- Jonah C. Rose
- ORCiD
- Department of Astronomy, University of Florida , Gainesville, FL 32611, USA ; [email protected]; Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA
- Paul Torrey
- ORCiD
- Department of Astronomy, University of Virginia , Charlottesville, VA 22904, USA
- Francisco Villaescusa-Navarro
- ORCiD
- Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA; Department of Astrophysical Sciences, Princeton University , Peyton Hall, Princeton, NJ 08544, USA
- Mariangela Lisanti
- ORCiD
- Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA; Department of Physics, Princeton University , Princeton, NJ 08544, USA
- Tri Nguyen
- ORCiD
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139, USA; The NSF AI Institute for Artificial Intelligence and Fundamental Interactions , Cambridge, MA 02139, USA
- Sandip Roy
- ORCiD
- Department of Physics, Princeton University , Princeton, NJ 08544, USA
- Kassidy E. Kollmann
- ORCiD
- Department of Physics, Princeton University , Princeton, NJ 08544, USA
- Mark Vogelsberger
- ORCiD
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139, USA; The NSF AI Institute for Artificial Intelligence and Fundamental Interactions , Cambridge, MA 02139, USA
- Francis-Yan Cyr-Racine
- ORCiD
- Department of Physics and Astronomy, University of New Mexico , 210 Yale Boulevard NE, Albuquerque, NM 87106, USA
- Mikhail V. Medvedev
- ORCiD
- Department of Astrophysical Sciences, Princeton University , Peyton Hall, Princeton, NJ 08544, USA; Institute for Advanced Study , School for Natural Sciences, Princeton, NJ 08540, USA; Institute for Theory and Computation, Harvard University , Cambridge, MA 02138, USA; Department of Physics and Astronomy, University of Kansas , Lawrence, KS 66045, USA; Laboratory for Nuclear Science, Massachusetts Institute of Technology , Cambridge, MA 02139, USA
- Shy Genel
- ORCiD
- Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA; Columbia Astrophysics Laboratory, Columbia University , 550 West 120th Street, New York, NY 10027, USA
- Daniel Anglés-Alcázar
- ORCiD
- Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA; Department of Physics, University of Connecticut , 196 Auditorium Road, U-3046, Storrs, CT 06269-3046, USA
- Nitya Kallivayalil
- ORCiD
- Department of Astronomy, University of Virginia , Charlottesville, VA 22904, USA
- Bonny Y. Wang
- ORCiD
- McWilliams Center for Cosmology and Astrophysics, Carnegie Mellon University , Pittsburgh, PA 15213, USA
- Belén Costanza
- ORCiD
- Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata , Observatorio Astronómico, Paseo del Bosque, B1900FWA La Plata, Argentina
- Stephanie O’Neil
- ORCiD
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139, USA
- Cian Roche
- ORCiD
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139, USA
- Soumyodipta Karmakar
- ORCiD
- Department of Physics and Astronomy, University of New Mexico , 210 Yale Boulevard NE, Albuquerque, NM 87106, USA
- Alex M. Garcia
- ORCiD
- Department of Astronomy, University of Virginia , Charlottesville, VA 22904, USA
- Ryan Low
- ORCiD
- Department of Physics and Astronomy, University of Kansas , Lawrence, KS 66045, USA
- Shurui Lin
- ORCiD
- Department of Astronomy, School of Physical Sciences, University of Science and Technology of China , Hefei, Anhui 230026, People’s Republic of China; CAS Key Laboratory for Researches in Galaxies and Cosmology, School of Astronomy and Space Science, University of Science and Technology of China , Hefei, Anhui 230026, People’s Republic of China
- Olivia Mostow
- ORCiD
- Department of Astronomy, University of Virginia , Charlottesville, VA 22904, USA
- Akaxia Cruz
- ORCiD
- Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA; Department of Physics, Princeton University , Princeton, NJ 08544, USA
- Andrea Caputo
- ORCiD
- Theoretical Physics Department, CERN , 1211 Geneva 23, Switzerland
- Arya Farahi
- ORCiD
- Departments of Statistics and Data Science, University of Texas at Austin , Austin, TX 78757, USA; The NSF-Simons AI Institute for Cosmic Origins, University of Texas at Austin , Austin, TX 78712, USA
- Julian B. Muñoz
- ORCiD
- Department of Astronomy, University of Texas at Austin , Austin, TX 78757, USA
- Lina Necib
- ORCiD
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139, USA; The NSF AI Institute for Artificial Intelligence and Fundamental Interactions , Cambridge, MA 02139, USA
- Romain Teyssier
- ORCiD
- Department of Astrophysical Sciences, Princeton University , Peyton Hall, Princeton, NJ 08544, USA
- Julianne J. Dalcanton
- ORCiD
- Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA; Department of Astronomy, University of Washington , Box 351580, Seattle, WA 98195, USA
- David Spergel
- ORCiD
- Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010, USA
- DOI
- https://doi.org/10.3847/1538-4357/adb8e5
- Journal volume & issue
-
Vol. 982,
no. 2
p. 68
Abstract
We introduce the DaRk mattEr and Astrophysics with Machine learning and Simulations (DREAMS) project, an innovative approach to understanding the astrophysical implications of alternative dark matter (DM) models and their effects on galaxy formation and evolution. The DREAMS project will ultimately comprise thousands of cosmological hydrodynamic simulations that simultaneously vary over DM physics, astrophysics, and cosmology in modeling a range of systems—from galaxy clusters to ultra-faint satellites. Such extensive simulation suites can provide adequate training sets for machine-learning-based analyses. This paper introduces two new cosmological hydrodynamical suites of warm dark matter (WDM), each comprising 1024 simulations generated using the arepo code. One suite consists of uniform-box simulations covering a ${(25\,{h}^{-1}\,{\rm{Mpc}})}^{3}$ volume, while the other consists of Milky Way zoom-ins with sufficient resolution to capture the properties of classical satellites. For each simulation, the WDM particle mass is varied along with the initial density field and several parameters controlling the strength of baryonic feedback within the IllustrisTNG model. We provide two examples, separately utilizing emulators and convolutional neural networks, to demonstrate how such simulation suites can be used to disentangle the effects of DM and baryonic physics on galactic properties. The DREAMS project can be extended further to include different DM models, galaxy formation physics, and astrophysical targets. In this way, it will provide an unparalleled opportunity to characterize uncertainties on predictions for small-scale observables, leading to robust predictions for testing the particle physics nature of DM on these scales.
Keywords
- Cosmological parameters
- Galactic and extragalactic astronomy
- Warm dark matter
- Magnetohydrodynamical simulations
