Speaker
Description
Feedback from supernovae and radiation emitted by stars plays a pivotal role in shaping the early universe. These feedback processes have a direct influence on gas and stellar dynamics, leaving discernible traces in observational data. I introduce SPICE, a novel suite of radiation-hydrodynamical simulations targeting cosmic reionization. SPICE uses RAMSES-RT to track the propagation of radiation from stars and employs a state-of-the-art galaxy formation model with a focus on resolving the multiphase interstellar medium down to 30 pc scales. The goal of these simulations is to systematically probe a variety of stellar feedback models, including "bursty" and "smooth" modes of supernova energy injections. SPICE shows that subtle difference in the behavior of supernova feedback can drive profound difference in reionisation histories with burstier forms of feedback causing earlier reionisation. SPICE highlights that stellar feedback and its strength determine the morphological mix of galaxies emerging by z=5. While star-forming disks are prevalant if supernova feedback is smooth, bursty feedback generates dispersion dominated systems. I present a strong correlation between galaxy morphology and lyman continuum escape fractions of galaxies where dispersion supported galaxies show 20-50 times higher escape fractions as compared to their rotation dominated counterparts. Finally, I validate the observational signatures of different feedback models, as demonstrated by SPICE, against the latest data from JWST and ALMA observations.
