1.6k citations · 17.3k across the 245 of their papers we have counts for
246 papers
Merger Histories and Environments of Dwarf AGN in IllustrisTNG
Mikkel T Kristensen, Kevin Pimbblet, Brad Gibson +2
The relationship between active galactic nuclei activity and environment has been long discussed, but it is unclear if these relations extend into the dwarf galaxy mass regime -- i…
A Large-scale Approach to Modelling Molecular Biosignatures: The Diatomics
Thomas M. Cross, David M. Benoit, Marco Pignatari +1
This work presents the first steps to modelling synthetic rovibrational spectra for all molecules of astrophysical interest using a new approach implemented in the Prometheus code.…
Project ThaiPASS: International Outreach Blending Astronomy and Python
James D. Keegans, Richard J. Stancliffe, Lawrence E. Bilton +8
(ThaiPASS), a collaborative project comprising UK and Thai institutions and assess its impact and possible application to scho…
The -Process Alliance: Fourth Data Release from the Search for -Process-Enhanced Stars in the Galactic Halo
Erika M. Holmbeck, Terese T. Hansen, Timothy C. Beers +22
This compilation is the fourth data release from the -Process Alliance (RPA) search for -process-enhanced stars, and the second release based on "snapshot" high-resolution ($…
The Horizon Run 5 Cosmological Hydrodynamic Simulation: Probing Galaxy Formation from Kilo- to Giga-parsec Scales
Jaehyun Lee, Jihye Shin, Owain N. Snaith +12
Horizon Run 5 (HR5) is a cosmological hydrodynamical simulation which captures the properties of the Universe on a Gpc scale while achieving a resolution of 1kpc. Inside the simula…
The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks
G. Guiglion, G. Matijevic, A. B. A. Queiroz +22
In the context of large spectroscopic surveys of stars, data-driven methods are key in deducing physical parameters for millions of spectra in a short time. Convolutional neural ne…