Student PI: Keyi Ding (Computer Science and Physics major)
Mentor: Kevin C. Schlaufman

We propose to determine the stellar physical properties of stars in open clusters using the Isochrones Python package to execute with MultiNest, a Bayesian fit of the MESA Isochrones Stellar Tracks (MIST) isochrone grid to parallax and multiwavelength photometry data for open cluster stars of known metallicities and ages. Stars in open clusters are stars with similar ages and metallicities, and their physical properties provide valuable insight into the study of stellar evolution and exoplanets. We will apply our data science approach of determining stellar properties of stars in open clusters with photometric data and verify that our methodology provides accurate and precise results. Once verified, the result of this project will be valuable to researchers studying galactic astronomy and exoplanets in determining the physical parameters of stars through a data science approach.