The National Science Foundation (NSF) awarded a $421,175 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Massachusetts (UMass) for their research project "The Emergence of Star Clusters: Insights from Artificial Intelligence". The key objectives of this 2-year project are to:
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Observe a large number of stellar clusters in nearby galaxies using data from the Atacama Large Millimeter Array (ALMA) and the James Webb Space Telescope (JWST) to accurately estimate the timeframes for star cluster formation.
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Integrate new artificial intelligence (AI) frameworks to automate the identification and labeling of young star clusters, reducing the effort required by 50-fold.
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Use the comprehensive datasets of gas clouds and star clusters to analyze the timescales and physical mechanisms underlying the clearing of natal gas from star-forming regions.
The results from this research project are expected to inform models and simulations of galaxy evolution, the interplay between galaxies and their surrounding environment, and the conditions enabling galaxies to emit ionizing radiation. The research team also plans to incorporate research experiences for local K-12 teachers to develop science education modules that can inspire students, particularly from minority-dominated school districts, to pursue STEM careers.
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