Project Grant 2239364

Award Date 8/15/23
Completion Date 7/31/28
Dollars Obligated $718K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Urbana, IL 61801, USA
Similar Awards
This $325,777 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support a collaborative research effort to study nearby cosmic explosions, known as supernovae, from their earliest moments. The research team will enhance its rapid survey capabilities to promptly identify and study new supernovae in nearby galaxies, taking advantage of a network of small telescopes. This will enable the discovery of...
The University of Illinois, Urbana-Champaign will undertake a project funded by a $328,618 Project Grant from the National Science Foundation Division of Astronomical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The university will characterize enigmatic transient astrophysical events through observations from its new Young Supernova Experiment survey, which aims to identify rare and unusual transients. It will detail the progenitors and explosions...
This $258,736 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support a collaborative research project to study nearby cosmic explosions, known as supernovae, from their earliest moments. The research team at Rutgers, The State University will enhance its rapid survey for the nearest and brightest supernovae, incorporating new infrastructure to identify even younger nearby supernovae. As part of this work, three...
The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $497,792 Project Grant to the University of Arizona (doing business as the Arizona Board of Regents) to support research under the NSF's Mathematical and Physical Sciences program (CFDA 47.049). The grant aims to develop advanced machine learning techniques to extract cosmological information from mass maps generated by observing the gravitational lensing effects of dark matter. This research will enable more...
This $239,093 project grant from the National Science Foundation Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund collaborative research between the University of Virginia and Michigan State University to analyze data and model stripped supernovae explosions. The researchers will study at least 185 stripped supernovae, the largest data set in the world, to quantify uncertainties in modeling these explosions and transition the...
This $484,024 Project Grant award, funded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program, supports a 4-year collaborative research program led by investigators at Louisiana State University, Harvard University, University of Minnesota-Twin Cities, and University of Maryland, College Park. The research aims to improve understanding of explosive transient astronomical events by combining observations from the Vera C. Rubin Observatory,...
This $355,665 project grant from the National Science Foundation's Mathematical and Physical Sciences program will fund research at The Johns Hopkins University to improve characterization of Type IA supernova host galaxy properties. The university will compile an extensive multi-wavelength dataset leveraging existing optical data and upcoming infrared archives to recover star formation histories through non-parametric fitting and determine stellar masses and formation rates for supernova host...
The University of California, Davis received a $531,469 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to enhance its rapid survey for the nearest and brightest supernovae in the sky. The 3-year award will support the team's efforts to incorporate new infrastructure to find even younger nearby supernovae, with the goal of discovering 30 very young nearby supernovae over the project period. This includes 12 thermonuclear Type Ia...
This $303,516 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support a 4-year research program led by investigators at the University of North Carolina at Chapel Hill, Harvard University, University of Minnesota-Twin Cities, and University of Maryland, College Park. The research aims to improve understanding of explosive transients, such as gamma-ray bursts and supernovae, by combining observations from the Vera C....
This $605,057 federal Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) to Northeastern University will fund research to advance the understanding of astrophysical processes and observational uncertainties for the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). The project will pursue several linked themes to enable robust, sophisticated cosmological analyses of LSST data, including developing innovative simulation and...

This $717,600 National Science Foundation project grant, funded under the Mathematical and Physical Sciences program (CFDA 47.049), supports research to better understand the nature of dark energy and the expansion of the universe. The principal investigator will use the Young Supernova Experiment to measure a uniform sample of Type Ia supernovae in the nearby universe and develop novel methods for determining cosmological parameters. They will also identify Type Ia supernovae in distant observations from the Vera C. Rubin Observatory's Legacy Survey of Space and Time, which is expected to discover hundreds of thousands of supernovae. Involving schools and citizen scientists, the investigator will place observations on the Zooniverse platform and create instructional Jupyter notebooks. They aim to recruit underserved students for machine learning and data science training using research materials. Combining data from both surveys, the investigator expects 1.6% measurement accuracy for the Hubble constant and sub-percent accuracy for the dark energy equation of state, connecting the nearby and distant universe. Citizen science is central, with the Zooniverse used to identify host galaxies and validate automated algorithms. The University of Illinois is the awardee.

Generated 1/6/24, 9:50 PM