activity
20122024
most citedThe Herschel Multi-tiered Extragalactic Survey: HerMES

800 citations · 2.9k across the 33 of their papers we have counts for

collaborators

33 papers

astro-ph.GA2024★ 9 cited

Probabilistic and progressive deblended far-infrared and sub-millimetre point source catalogues I. Methodology and first application in the COSMOS field

Lingyu Wang, Antonio La Marca, Fangyou Gao +12

Single-dish far-infrared (far-IR) and sub-millimetre (sub-mm) point source catalogues and their connections with catalogues at other wavelengths are of paramount importance. Howeve…

astro-ph.GA2021★ 11 cited

Getting ready for the LSST data -- estimating the physical properties of main sequence galaxies

Gabriele Riccio, Katarzyna Małek, Ambra Nanni +8

In this work we study how to employ the upcoming Legacy Survey of Space and Time (LSST) data to constrain physical properties of normal, star forming galaxies. We use simulated LSS…

astro-ph.GA2021★ 46 cited

Deep Extragalactic VIsible Legacy Survey (DEVILS): Consistent multi-wavelength photometry for the DEVILS regions (COSMOS, XMMLSS & ECDFS)

L. J. M. Davies, J. E. Thorne, A. S. G. Robotham +23

The Deep Extragalactic VIsible Legacy Survey (DEVILS) is an ongoing high-completeness, deep spectroscopic survey of 60,000 galaxies to Y21.2 mag, over 6 deg2 in thre…

astro-ph.GA2021★ 96 cited

HELP: The Herschel Extragalactic Legacy Project

R. Shirley, K. Duncan, M. C. Campos Varillas +29

We present the Herschel Extragalactic Legacy Project (HELP). This project collates, curates, homogenises, and creates derived data products for most of the premium multi-wavelength…

astro-ph.GA2021★ 19 cited

A hyperluminous obscured quasar at a redshift of z ~ 4.3

Andreas Efstathiou, Katarzyna Malek, Denis Burgarella +9

In this work we report the discovery of the hyperluminous galaxy HELP_J100156.75+022344.7 at the photometric redshift of z ~ 4.3. The galaxy was discovered in the Cosmological Evol…

physics.ao-ph2020★ 1 cited

An empirical, Bayesian approach to modelling the impact of weather on crop yield: maize in the US

Raphael Shirley, Edward Pope, Myles Bartlett +8

We apply an empirical, data-driven approach for describing crop yield as a function of monthly temperature and precipitation by employing generative probabilistic models with param…