Title
(G)old mining in high-redshift galaxies: Application of SED fitting in the era of JWST
Abstract
With recent progress in observational astronomy, we are now able to characterize spectral energy distributions (SEDs) of high-redshift galaxies well. Constraining galaxy SEDs is critically important, as they can be used to infer not only current properties but past evolutionary histories too. However, results from this technique need to be carefully assessed, as they may only represent a subset of the intrinsic distribution depending on e.g., data quality, underlying assumptions, and fitting methodology. With this in mind, in this seminar I will start by presenting our recent effort in inferring formation histories of massive galaxies at z~2 using deep grism datasets taken in multiple HST programs, aiming to understand galaxy mass assembly and quenching at high redshifts. I will then introduce our JWST ERS program, and discuss how we should utilize this new dataset to advance our understanding of galaxy evolution in the first billion years of the universe.
