Collaborative Research: Reconstructing Primordial Density Fluctuations using Near-Field Cosmology

Information

  • NSF Award
  • 2407379
Owner
  • Award Id
    2407379
  • Award Effective Date
    11/15/2024 - a month ago
  • Award Expiration Date
    10/31/2027 - 2 years from now
  • Award Amount
    $ 419,979.00
  • Award Instrument
    Standard Grant

Collaborative Research: Reconstructing Primordial Density Fluctuations using Near-Field Cosmology

Faint dwarf galaxies are sensitive to dark matter and early universe physics. The investigators will develop a model that comprehensively predicts the population of dwarf galaxies surrounding the Milky Way as a function of dark matter properties and early universe dynamics. Comparing these predictions to the data will yield constraints on dark matter particle models and cosmic inflation. The key product of this work is an efficient and accurate model for the Milky Way’s dwarf galaxy population in non-standard cosmologies. This work will train early career researchers in broadly-applicable computational methods and support undergraduates from underrepresented groups in physics through the National Society of Black Physicists and Society for the Advancement of Chicanos/Hispanics and Native Americans in Science programs. <br/><br/>Dwarf galaxies occupy the smallest dark matter halos that can form stars. These systems are extremely sensitive to unknown dark matter and early universe physics. To date, the faintest dwarf galaxies have exclusively been detected as satellites of the Milky Way. This situation presents a theoretical challenge: to discover fundamental physics in these data, we must model the specific formation history of our Galaxy’s dark matter halo and satellite population. The investigators will perform new suites of cosmological simulations constrained to match the Milky Way, with initial conditions appropriate for a variety of dark matter and early-universe scenarios, which will be used to calibrate the Galacticus galaxy formation model. The calibrated model, Galacticus-MW, will rapidly and accurately predict the Milky Way satellite population as a function of the beyond-CDM linear matter power spectrum. Comparing these predictions to the data will yield the first near-field measurement of small-scale matter clustering, along with constraints on dark matter properties (including its particle mass, interactions, and production mechanism) and on cosmic inflation. This work will enable cosmological inference using dwarf galaxy populations detected by Stage IV surveys over the next decade.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    ANDREAS BERLINDaberlind@nsf.gov7032925387
  • Min Amd Letter Date
    8/30/2024 - 4 months ago
  • Max Amd Letter Date
    8/30/2024 - 4 months ago
  • ARRA Amount

Institutions

  • Name
    Carnegie Institution of Washington
  • City
    WASHINGTON
  • State
    DC
  • Country
    United States
  • Address
    5241 BROAD BRANCH RD NW
  • Postal Code
    200151305
  • Phone Number
    2023876400

Investigators

  • First Name
    Ethan
  • Last Name
    Nadler
  • Email Address
    enadler@carnegiescience.edu
  • Start Date
    8/30/2024 12:00:00 AM
  • First Name
    Andrew
  • Last Name
    Benson
  • Email Address
    abenson@obs.carnegiescience.edu
  • Start Date
    8/30/2024 12:00:00 AM

Program Element

  • Text
    EXTRAGALACTIC ASTRON & COSMOLO
  • Code
    121700

Program Reference

  • Text
    THEORETICAL & COMPUTATIONAL ASTROPHYSICS
  • Code
    1206
  • Text
    OBSERVATIONAL ASTRONOMY
  • Code
    1207