activity
20152023
most citedIdentifying Galaxy Mergers in Observations and Simulations with Deep Learning

87 citations · 536 across the 15 of their papers we have counts for

collaborators

29 papers

cs.SD20231 cited

Introducing STRAUSS: A flexible sonification Python package

James W. Trayford, Chris M. Harrison

We introduce STRAUSS (Sonification Tools and Resources for Analysis Using Sound Synthesis) a modular, self-contained and flexible Python sonification package, operating in a free a…

astro-ph.IM20228 cited

Evaluating the efficacy of sonification for signal detection in univariate, evenly sampled light curves using astronify

J. Tucker Brown, C. M. Harrison, A. Zanella +1

Sonification is the technique of representing data with sound, with potential applications in astronomy research for aiding discovery and accessibility. Several astronomy-focused s…

astro-ph.GA202225 cited

High-resolution synthetic UV-submm images for Milky Way-mass simulated galaxies from the ARTEMIS project

Peter Camps, Anand Utsav Kapoor, Ana Trčka +4

We present redshift-zero synthetic dust-aware observations for the 45 Milky Way-mass simulated galaxies of the ARTEMIS project, calculated with the SKIRT radiative transfer code. T…

astro-ph.GA2020

The MAGPI Survey -- science goals, design, observing strategy, early results and theoretical framework

C. Foster, J. T. Mendel, C. D. P. Lagos +40

We present an overview of the Middle Ages Galaxy Properties with Integral Field Spectroscopy (MAGPI) survey, a Large Program on ESO/VLT. MAGPI is designed to study the physical dri…

astro-ph.GA202022 cited

Infrared luminosity functions and dust mass functions in the EAGLE simulation

Maarten Baes, Ana Trčka, Peter Camps +6

We present infrared luminosity functions and dust mass functions for the EAGLE cosmological simulation, based on synthetic multi-wavelength observations generated with the SKIRT ra…

astro-ph.GA2020

Reproducing the Universe: a comparison between the EAGLE simulations and the nearby DustPedia galaxy sample

Ana Trčka, Maarten Baes, Peter Camps +17

We compare the spectral energy distributions (SEDs) and inferred physical properties for simulated and observed galaxies at low redshift. We exploit UV-submillimetre mock fluxes of…