Synthesizer: a Software Package for Synthetic Astronomical Observables
Christopher C. Lovell, William J. Roper, Aswin P. Vijayan, Stephen M. Wilkins, Sophie Newman, Louise Seeyave

TL;DR
Synthesizer is a versatile, modular software platform for generating and analyzing synthetic astrophysical observables, aiding in modeling, testing, and inference in galaxy formation and active galactic nuclei studies.
Contribution
It introduces a flexible, extensible platform with pre-built models for simulating diverse astrophysical observables from various galaxy formation simulations.
Findings
Supports analytical and numerical galaxy models
Enables rapid exploration of parameter spaces
Provides tools for forward and inverse modeling
Abstract
We present Synthesizer, a fast, flexible, modular and extensible platform for modelling synthetic astrophysical observables. Synthesizer can be used for a number of applications, but is predominantly designed for generating mock observables from analytical and numerical galaxy formation simulations. These use cases include (but are not limited to) analytical modelling of the star formation and metal enrichment histories of galaxies, the creation of mock images and integral field unit observations from particle based simulations, detailed photoionisation modelling of the central regions of active galactic nuclei, and spectro-photometric fitting. We provide a number of stellar population synthesis models, photoionisation code configurations, dust models, and imaging configurations that can be used 'out-of-the-box' interactively. The code can be used to quantitatively test the dependence…
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