Abstract：Extracting physical information from the integrated spectra of unresolved stellar populations is key to understanding galaxy evolution. Modeling the time evolution of a galaxy’s metal content is fundamental to this task, yet it is often overlooked or treated separately for gas and stars. In this talk, I introduce a novel semi-analytic spectral fitting approach designed to jointly infer stellar and gas-phase chemical evolution in a self-consistent manner. Our model accounts for gas inflow, outflow, and star formation processes, and is fitted directly to galaxy absorption-line spectra, with emission-line diagnostics constraining present-day gas-phase metallicity. Applying this method to galaxies from the local universe (SDSS-IV/MaNGA) and at intermediate redshifts (LEGA-C&COSMOS-WALL), we successfully reconstruct their star formation and chemical enrichment histories. The results allow us to explore how gas accretion, feedback from AGN and supernova, and environmental effects shape galaxy evolution across cosmic time. I will also discuss how upcoming surveys such as WEAVE and 4MOST will provide critical data to further test these scenarios.
Bio：Dr.Shuang Zhou obtained his PhD from Tsinghua university, Beijing in 2019. After a short postdoc period in Tsinghua university, he moved to the University of Nottingham in 2021. He joined INAF-OAB in 2023 as a postdoc working on science related to WEAVE-StePS and 4MOST/WAVES surveys. His research interests focus on understanding the formation and evolution of galaxies, especially through analysing their spectra and multi-band spectral energy distributions.