From the 1 of 6 linked papers with an AI index.
6 papers
Stellar photoionisation modelling in SYNTHESIZER
Aswin P. Vijayan, Stephen M. Wilkins, Sophie L. Newman +5
The paper introduces photoionised gas emission modeling into the SYNTHESIZER code, allowing realistic stellar and nebular spectra to be generated for galaxy formation studies.
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…
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…
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…