School of Physics Thesis Dissertation Defense
Corey Brummel-Smith
Advisor: Dr. John Wise, School of Physics, Georgia Institute of Technology
From Particles to Prints: Simulating Cosmic Dawn and the Children of the First Stars
Thursday, November 21, 2024
2:00 p.m.
Howey Physics Building, Room N201/202
Zoom link: https://gatech.zoom.us/j/91065330951?pwd=lH8GaXv8gQEXIq7KjOM4orXq0d2SmT.1
Meeting ID: 910 6533 0951
Passcode: 090306
Committee Members:
Dr. David Ballantyne, School of Physics, Georgia Institute of Technology
Dr. Gongjie Li, School of Physics, Georgia Institute of Technology
Dr. Sabetta Matsumoto, School of Physics, Georgia Institute of Technology
Dr. Amit S. Jariwala, School of Mechanical Engineering, Georgia Institute of Technology
Abstract:
The James Webb Space Telescope (JWST) has captured images of some of the universe's earliest galaxies, formed just 300 million years after the Big Bang. However, direct observation of the first stars (Population III) is currently impossible, with only indirect evidence found through the chemical signatures in their metal-poor descendants (Population II). We present simulations of triggered star formation, examining whether supernovae from Population III stars could compress nearby molecular clouds, potentially inducing Population II star formation. Additionally, we introduce Monte Carlo tracer particles in the Enzo astrophysics code to track metals dispersed by Population III supernovae. This tool enables precise tracing of individual progenitors' metal contributions, providing insights into the enrichment history of second-generation stars and expanding Enzo's capability to study processes where tracking fluid history is essential. Furthermore, we analyze high-redshift galaxies observed by JWST, fitting spectral energy distributions to photometry to infer stellar masses, star formation histories, and the potential presence of active galactic nuclei and Population III stars. Finally, we explore a novel approach to visualizing astrophysical data by transforming simulations into tangible 3D-printed models, creating accessible and interactive tools for public engagement and scientific outreach. Overall, this work combines novel computational models and observational data to deepen our understanding of the formation and enrichment of the first stars and galaxies in the high-redshift universe.