AAS Journals

There is a newer version of the record available.

Published July 22, 2026 | Version v0.1.5
Software Open

GalSyn (Galaxy Synthesizer), a Forward-Modeling Software for Synthetic Galaxy Observations from Hydrodynamical Simulations

Contributors

  • 1. ROR icon Swinburne University of Technology

Description

GalSyn (Galaxy Synthesizer) is a modular and flexible Python package for generating synthetic spectrophotometric observations from hydrodynamical galaxy simulations. GalSyn employs a particle-by-particle spectral modeling approach that enables the rapid production of large synthetic datasets required for statistical population studies, offering a computationally efficient alternative to full radiative transfer codes. Users have full control over the spectral modeling choices, including the choice of stellar population synthesis engine, stellar isochrones, spectral libraries, and initial mass functions. Dust attenuation is modeled at the spatially resolved level via a line-of-sight column density method, with a comprehensive suite of fixed and adaptive attenuation laws. A decoupled kinematics model independently Doppler-shifts the stellar and nebular components, enabling realistic synthetic IFU data cubes. It also provides features to add observational realism, including PSF convolution and multi-component noise simulation. Beyond imaging and spectroscopic data cubes, GalSyn reconstructs spatially resolved physical property maps and star formation histories.

Files

aabdurrouf/GalSyn-v0.1.5.zip

Files (21.0 MB)

Name Size
md5:81471179b9eaff5aea64a4ef47194169
21.0 MB Preview Download

Additional details

Related works

Is described by
Preprint: arXiv:2603.23986 (arXiv)
Is supplement to
Software: https://github.com/aabdurrouf/GalSyn/tree/v0.1.5 (URL)

Dates

Issued
2026-07-22

Software

Repository URL
https://github.com/aabdurrouf/GalSyn