Toward a Complete Census of Galactic Supernova Remnants

Information

  • NSF Award
  • 2307176
Owner
  • Award Id
    2307176
  • Award Effective Date
    9/1/2023 - a year ago
  • Award Expiration Date
    8/31/2026 - a year from now
  • Award Amount
    $ 331,170.00
  • Award Instrument
    Standard Grant

Toward a Complete Census of Galactic Supernova Remnants

A massive star ends its life by exploding violently as a supernova. After a supernova explosion, the debris left behind glows. This debris is called a supernova remnant (SNR). Compared to the short-duration flash of a supernova, SNRs last much longer, many thousands of years. Studying SNRs provides a window into the population of massive stars in a galaxy and the energy injected by them at the end of their lives. Despite their importance, the census of SNRs in the Milky Way is severely incomplete. This incompleteness is caused by difficulties locating Galactic SNRs in confusing parts of the Galaxy and a lack of sensitive data. The investigators will use new data sets to create a catalog of new SNRs across the Milky Way. They will expand the “West Virginia SPOT” program, which trains college STEM majors to give scientific presentations to public school children and then supports these presentations. In this program, they will develop a new feature SPOT presentation on SNRs. <br/><br/>This research program is based on observations with the NSF’s Very Large Array (VLA) Radio Telescope, combined with space-based infrared observations and further enhanced by new radio continuum data from the South African MeerKAT telescope. SNRs are bright at radio wavelengths and can be distinguished from other types of objects using ancillary data. The researchers will verify the identified candidates using machine-learning, comparing the appearance of known SNRs with that of the SNR candidates. Based on previous searches and the results from a test field, this search is expected to double the known SNR population. This would bring the expected and known SNR populations close together and would provide a wealth of new objects for follow up studies.<br/><br/>This project is jointly funded by the Astronomy and Astrophysics Research Grants Program and the Established Program to Stimulate Competitive Research (EPSCoR).<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
    Glen Langstonglangsto@nsf.gov7032924937
  • Min Amd Letter Date
    8/8/2023 - a year ago
  • Max Amd Letter Date
    8/8/2023 - a year ago
  • ARRA Amount

Institutions

  • Name
    West Virginia University Research Corporation
  • City
    MORGANTOWN
  • State
    WV
  • Country
    United States
  • Address
    886 CHESTNUT RIDGE ROAD
  • Postal Code
    265052742
  • Phone Number
    3042933998

Investigators

  • First Name
    Loren
  • Last Name
    Anderson
  • Email Address
    loren.anderson@mail.wvu.edu
  • Start Date
    8/8/2023 12:00:00 AM

Program Element

  • Text
    GALACTIC ASTRONOMY PROGRAM
  • Code
    1216
  • Text
    EPSCoR Co-Funding
  • Code
    9150

Program Reference

  • Text
    Artificial Intelligence (AI)
  • Text
    Machine Learning Theory
  • Text
    THEORETICAL & COMPUTATIONAL ASTROPHYSICS
  • Code
    1206
  • Text
    OBSERVATIONAL ASTRONOMY
  • Code
    1207
  • Text
    BROADENING PARTICIPATION
  • Code
    7487
  • Text
    EXP PROG TO STIM COMP RES
  • Code
    9150