This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop new artificial intelligence (AI) models and methods to analyze and interpret stellar spectra more effectively. The $271,969 award to The Ohio State University, with a project period from September 1, 2024 to August 31, 2027, will fund research to create "spectral foundational models" - robust AI models pre-trained on simplified stellar spectral data. These models will capture the underlying physics of stellar atmospheres to enable more nuanced analysis of the vast number of stellar spectra collected. The research will focus on two key science cases: elucidating star-spot distributions using Sloan Digital Sky Survey V data, and inferring characteristics of stellar populations from Dark Energy Spectroscopic Instrument galaxy spectra. This work seeks to advance the use of AI to accelerate progress in astrophysics research and train a new generation of experts versed in both scientific research and AI.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $272.0k | 8/21/24 |