Collaborative Research: WoU-MMA: Surveying black hole growth history through accretion and mergers

Information

  • NSF Award
  • 2407751
Owner
  • Award Id
    2407751
  • Award Effective Date
    9/1/2024 - 2 months ago
  • Award Expiration Date
    8/31/2027 - 2 years from now
  • Award Amount
    $ 588,357.00
  • Award Instrument
    Standard Grant

Collaborative Research: WoU-MMA: Surveying black hole growth history through accretion and mergers

This project aims to uncover the secrets behind the growth of supermassive black holes (SMBH) located at the centers of galaxies. These enormous black holes are crucial for understanding the evolution of the Universe, as they significantly influence their host galaxies by affecting star formation and the development of galactic structures. The primary focus is to explore how SMBHs grow, either through the accumulation of matter or by merging with other black holes. The research will also provide educational opportunities and foster diversity within the scientific community. By engaging with the Native Hawaiian community and other underrepresented groups, the project aims to inspire and nurture the next generation of scientists.<br/><br/>The project's main goal is to understand the growth mechanisms of supermassive black holes. It has three specific objectives: 1) to determine the merger rates of SMBHs and relate these to gravitational wave observations; 2) to investigate the growth of SMBHs during the peak period of black hole activity (known as cosmic noon) and its connection to accretion rates; and 3) to map the complete history of SMBH accretion. The research employs a multiwavelength survey approach, leveraging optical, infrared, and X-ray observations to minimize bias against obscured black holes. Advanced AI techniques will be used to analyze large imaging surveys, identifying dual active galactic nuclei (AGN) and galaxy mergers. This will help predict gravitational wave events and measure black hole masses and luminosities. Data will be collected using various observatories, including privileged access to Euclid data and several ground-based telescopes. Results will be shared through AGN-DB, an AI-managed database, and supported by tools like THALES and AGNFinder for comprehensive data integration. The project also includes significant educational outreach and diversity initiatives, providing research experiences and professional development for underrepresented students in astronomy.<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
    Joseph E. Pescejpesce@nsf.gov7032927373
  • Min Amd Letter Date
    8/5/2024 - 3 months ago
  • Max Amd Letter Date
    8/5/2024 - 3 months ago
  • ARRA Amount

Institutions

  • Name
    Yale University
  • City
    NEW HAVEN
  • State
    CT
  • Country
    United States
  • Address
    150 MUNSON ST
  • Postal Code
    065113572
  • Phone Number
    2037854689

Investigators

  • First Name
    Claudia
  • Last Name
    Urry
  • Email Address
    meg.urry@yale.edu
  • Start Date
    8/5/2024 12:00:00 AM

Program Element

  • Text
    WoU-Windows on the Universe: T

Program Reference

  • Text
    Windows on the Universe (WoU)
  • Text
    Artificial Intelligence (AI)
  • Text
    THEORETICAL & COMPUTATIONAL ASTROPHYSICS
  • Code
    1206
  • Text
    OBSERVATIONAL ASTRONOMY
  • Code
    1207