Mentari: A pipeline to model the galaxy SED using semi analytic models

TL;DR

Mentari provides a comprehensive pipeline that models the evolution of galaxy spectral energy distributions by integrating semi-analytic galaxy formation models with stellar population synthesis, enabling detailed comparisons with observational data.

Contribution

This work introduces a novel pipeline combining semi-analytic models with stellar population synthesis to predict galaxy SED evolution across cosmic time.

Findings

Synthetic SEDs cover UV to infrared wavelengths.

Pipeline enables reverse engineering of galaxy evolution processes.

Simulated galaxy data can be directly compared with telescope observations.

Abstract

We build a theoretical picture of how the light from galaxies evolves across cosmic time. In particular, we predict the evolution of the galaxy spectral energy distribution (SED) by carefully integrating the star formation and metal enrichment histories of semi-analytic model (SAM) galaxies and combining these with stellar population synthesis models which we call mentari. Our SAM combines prescriptions to model the interplay between gas accretion, star formation, feedback process, and chemical enrichment in galaxy evolution. From this, the SED of any simulated galaxy at any point in its history can be constructed and compared with telescope data to reverse engineer the various physical processes that may have led to a particular set of observations. The synthetic SEDs of millions of simulated galaxies from mentari can cover wavelengths from the far UV to infrared, and thus can tell a near complete story of the history of galaxy evolution. \keywords{galaxies: evolution - galaxies: stellar content - galaxies.}