This Project Grant from the National Science Foundation Division of Mathematical Sciences provides $240,000 to President and Fellows of Harvard College from July 2021 through June 2024. The funding supports collaborative research to advance statistical foundations and address emerging data challenges in astronomy under the Mathematical and Physical Sciences program (CFDA 47.049). This program aims to strengthen the Nation's scientific enterprise through progress in mathematical and physical...
The National Science Foundation (NSF) awarded a $207,876 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to President and Fellows of Harvard College. This grant will support the development, testing, and application of machine learning (ML) algorithms and pipelines for the photometric classification of optical transients from current and future astronomical surveys. The key products and services to be delivered under this project include: (i) combining...
The National Science Foundation Division of Astronomical Sciences awarded a $570,000 project grant to the President And Fellows Of Harvard College for the project "THE H3 SPECTROSCOPIC SURVEY AND THE ORIGIN OF THE GALAXY." The grant period runs from September 1, 2021 through August 31, 2024. Under the Mathematical and Physical Sciences program (CFDA 47.049), this project grant will fund a spectroscopic survey of galaxies using the H3 instrument. The survey aims to advance understanding...
The National Science Foundation's Directorate for Mathematical and Physical Sciences awarded a $1 million project grant to the President and Fellows of Harvard College on September 1, 2021 through the Mathematical and Physical Sciences program (CFDA 47.049). The five-year project grant will support research advancing the Mathematical and Physical Sciences program's goals of strengthening the nation's scientific enterprise and increasing knowledge of major problems. Specifically, funding will...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $436,310 to President and Fellows of Harvard College to develop advanced statistical techniques and tools for analyzing the unprecedented volume of supernova data expected from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). The award aims to improve understanding of the progenitor systems and properties of rare, exceptionally bright...
The National Science Foundation (NSF) awarded a $522,928 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to President and Fellows of Harvard College. The grant will fund a legacy spectral line survey of 40 protoplanetary disks using the Submillimeter Array (SMA). The research team will survey 120 GHz of bandwidth between 210 and 370 GHz at high spectral resolution to study the chemistry of the outer disk regions, beyond the water snowline, where comets and most...
This three-year project grant from the National Science Foundation Division of Astronomical Sciences totals $360,645 to develop new statistical and machine learning methods and software to improve the detection, characterization, and classification of astrophysical objects using multi-epoch imaging survey data. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), key products include new algorithms for classifying variable and transient objects based on light curves...
This Project Grant award of $120,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) supports the development of a novel computational framework for leveraging geometric structure in data for more efficient and sustainable machine learning methods. The project aims to identify, characterize, and leverage inherent structure in scientific and industrial data, such as relational, hierarchical, and symmetrical patterns, to advance machine...
This three-year, $110,972 Project Grant from the National Science Foundation's Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will support the development of new statistical and machine learning methods and software to improve the detection, characterization, and classification of astrophysical objects using multi-epoch imaging survey data. The California Institute of Technology will apply innovative algorithms to optimize the discovery...
The National Science Foundation awarded a $280,576 Project Grant to Princeton University under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of September 1, 2021 through August 31, 2024. The grant will support collaborative research on "COSMOLOGY AND ASTROPHYSICS WITH MACHINE LEARNING SIMULATIONS (CAMELS) TO MAXIMIZE THE SCIENCE RETURN OF NEXT-GENERATION COSMOLOGICAL EXPERIMENTS." Specifically, Princeton University will leverage machine learning techniques...