9 citations · 11 across the 4 of their papers we have counts for
6 papers
Stellar photoionisation modelling in SYNTHESIZER
Aswin P. Vijayan, Stephen M. Wilkins, Sophie L. Newman +5
Emission from photoionised gas surrounding young stellar populations ( regions) provides critical diagnostics of the physical conditions in star forming galaxies. This…
CROCS Data Release I: Constraints on the Hubble Constant
Luke Weisenbach, Sophie L. Newman, Kieran Graham +5
Recent cosmological surveys and datasets have highlighted a variety of tensions to the concordance model of our universe, CDM. Of particular interest is the Hubble tension, the…
Flexible Simulation Based Inference for Galaxy Photometric Fitting with Synthesizer
Thomas Harvey, Christopher C. Lovell, Sophie Newman +13
We introduce Synference, a new, flexible Python framework for galaxy SED fitting using simulation-based inference (SBI). Synference leverages the Synthesizer package for flexible f…
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…
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…
COSMOS-Web: Estimating Physical Parameters of Galaxies Using Self-Organizing Maps
Fatemeh Abedini, Ghassem Gozaliasl, Akram Hasani Zonoozi +38
The COSMOS-Web survey, with its unparalleled combination of multiband data, notably, near-infrared imaging from JWST's NIRCam (F115W, F150W, F277W, and F444W), provides a transform…