Modelling edge-on barred galaxies through a population-orbit superposition method

Barred galaxies are an important branch of the Hubble sequence. In the past decades, significant efforts have been made to understanding the formation and evolution of barred galaxies. We develop a population-orbit superposition method, which can fully utilize stellar kinematics and stellar populations obtained from MUSE-like IFS data, to construct 3D models of edge-on barred galaxies. This method can: (1) recover the pattern speed of edge-on barred galaxies; (2) decompose galaxy structures (e.g. bulge/bar/disk/halo) based on stellar orbits; (3) recover the stellar populations of different structures. We validate this method using simulated galaxies from the Auriga simulations, and confirm its reliability for application to edge-on barred galaxies in real observations (e.g. the GECKOS survey). By linking dynamics and stellar populations, our work provides new tools for understanding the formation and evolution of barred galaxies.