most citedSynthesizer: a Software Package for Synthetic Astronomical Observables

9 citations · 13 across the 5 of their papers we have counts for

collaborators

8 papers

astro-ph.GA2025

Resolving the ionizing photon budget crisis with JWST/NIRCam HII clumping constraints at z=6

Duncan Austin, Thomas Harvey, Christopher J. Conselice +18

We present a comprehensive study of the ionizing properties of 1721 galaxies at using deep JWST/NIRCam photometric imaging from the NEP, JADES, and PRIMER surveys spann…

astro-ph.GA20251 cited

First Light And Reionisation Epoch Simulations (FLARES) XX: Comparing semi-analytic models at high-redshift

Louise T. C. Seeyave, Carlton M. Baugh, Angel Chandro-Gomez +13

We explore how the choice of galaxy formation model affects the predicted properties of high-redshift galaxies. Using the FLARES zoom resimulation strategy, we compare the EAGLE hy…

astro-ph.GA2025

The Nature of High-Redshift Massive Quiescent Galaxies -- Searching for RUBIES-UDS-QG-z7 in FLARES

Jack C. Turner, Will J. Roper, Aswin P. Vijayan +5

RUBIES-UDS-QG-z7 (RQG) is the earliest massive quiescent galaxy identified to date, inferred to have formed its abundant stellar mass in a single burst that ceases rapidly before $…

astro-ph.IM20259 cited

Synthesizer: a Software Package for Synthetic Astronomical Observables

Christopher C. Lovell, William J. Roper, Aswin P. Vijayan +3

We present Synthesizer, a fast, flexible, modular and extensible platform for modelling synthetic astrophysical observables. Synthesizer can be used for a number of applications, b…

astro-ph.GA2025

Interpreting nebular emission lines in the high-redshift Universe

Aswin P. Vijayan, Robert M. Yates, Christopher C. Lovell +7

One of the most remarkable outcomes from \textit{JWST} has been the exquisite UV-optical spectroscopic data for galaxies in the high-redshift Universe (), enabling the us…

astro-ph.IM20252 cited

Synthesizer: Synthetic Observables For Modern Astronomy

Will J. Roper, Christopher Lovell, Aswin Vijayan +12

Synthesizer is a fast, flexible, modular, and extensible Python package that empowers astronomers to turn theoretical galaxy models into realistic synthetic observations - includin…