activity
19972023
most citedLOFAR: The LOw-Frequency ARray

2.7k citations · 19.2k across the 178 of their papers we have counts for

collaborators

179 papers

astro-ph.GA2023★ 27 cited

Cosmic evolution of radio-AGN feedback: confronting models with data

R. Kondapally, P. N. Best, M. Raouf +11

Radio-mode feedback is a key ingredient in galaxy formation and evolution models, required to reproduce the observed properties of massive galaxies in the local Universe. We study…

astro-ph.GA2023★ 9 cited

LOFAR Deep Fields: Probing faint Galactic polarised emission in ELAIS-N1

Iva Šnidarić, Vibor Jelić, Maaijke Mevius +13

We present the first deep polarimetric study of Galactic synchrotron emission at low radio frequencies. Our study is based on 21 observations of the European Large Area Infrared Sp…

astro-ph.GA2023★ 11 cited

Revisiting the alignment of radio galaxies in the ELAIS-N1 field

Marco Simonte, Heinz Andernach, Marcus Brueggen +2

Aims. Previous studies reported an alignment of the major axes of radio galaxies on various angular scales. Here, we study the alignment of radio galaxies in the ELAIS-N1 Low Frequ…

astro-ph.GA2023★ 34 cited

A Global Inventory of Feedback

Timothy M. Heckman, Philip N. Best

Feedback from both supermassive black holes and massive stars plays a fundamental role in the evolution of galaxies and the inter-galactic medium. In this paper we use available da…

astro-ph.IM2022★ 211 cited

The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation

Shoko Jin, Scott C. Trager, Gavin B. Dalton +212

WEAVE, the new wide-field, massively multiplexed spectroscopic survey facility for the William Herschel Telescope, will see first light in late 2022. WEAVE comprises a new 2-degree…

astro-ph.IM2022★ 14 cited

Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

Rafaël I. J. Mostert, Kenneth J. Duncan, Lara Alegre +5

Radio loud active galactic nuclei (RLAGNs) are often morphologically complex objects that can consist of multiple, spatially separated, components. Astronomers often rely on visual…