X-ray and near-infrared observations of the middle-aged pulsar B1055-52, its multiwavelength spectrum, and proper motion

(2023)

Authors:

B Posselt, GG Pavlov, O Kargaltsev, J Hare

Studying the link between radio galaxies and AGN fuelling with relativistic hydrodynamic simulations of flickering jets

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 523:2 (2023) 2478-2497

Authors:

Henry W Whitehead, James H Matthews

Testing AGN outflow and accretion models with C iv and He ii emission line demographics in z ≈ 2 quasars

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 523:1 (2023) 646-666

Authors:

Matthew J Temple, James H Matthews, Paul C Hewett, Amy L Rankine, Gordon T Richards, Manda Banerji, Gary J Ferland, Christian Knigge, Matthew Stepney

The Spitzer Extragalactic Representative Volume Survey and DeepDrill extension: clustering of near-infrared galaxies

Monthly Notices of the Royal Astronomical Society Oxford University Press 523:1 (2023) 251-269

Authors:

Eelco van Kampen, Mark Lacy, Duncan Farrah, Claudia del P Lagos, Matthew Jarvis, Claudia Maraston, Kristina Nyland, Seb Oliver, Jason Surace, Jessica Thorne

Abstract:

We have measured the angular autocorrelation function of near-infrared galaxies in SERVS + DeepDrill, the Spitzer Extragalactic Representative Volume Survey and its follow-up survey of the Deep Drilling Fields, in three large fields totalling over 20 deg2 on the sky, observed in two bands centred on 3.6 and 4.5 μm. We performed this analysis on the full sample as well as on sources selected by [3.6]–[4.5] colour in order to probe clustering for different redshift regimes. We estimated the spatial correlation strength as well, using the redshift distribution from S-COSMOS with the same source selection. The strongest clustering was found for our bluest subsample, with 〈z〉 ∼ 0.7, which has the narrowest redshift distribution of all our subsamples. We compare these estimates to previous results from the literature, but also to estimates derived from mock samples, selected in the same way as the observational data, using deep light-cones generated from the SHARK semi-analytical model of galaxy formation. For all simulated (sub)samples, we find a slightly steeper slope than for the corresponding observed ones, but the spatial clustering length is comparable in most cases.

Spectral age distribution for radio-loud active galaxies in the XMM-LSS field

Monthly Notices of the Royal Astronomical Society Oxford University Press 523:1 (2023) 620-639

Authors:

Siddhant Pinjarkar, Martin J Hardcastle, Jeremy J Harwood, Dharam V Lal, Peter W Hatfield, Matt J Jarvis, Zara Randriamanakoto, Imogen H Whittam

Abstract:

Jets of energetic particles, as seen in FR type-I and FR type-II sources, ejected from the centre of radio-loud AGN affect the sources surrounding the intracluster medium/intergalactic medium. Placing constraints on the age of such sources is important in order to measure the jet powers and determine the effects on feedback. To evaluate the age of these sources using spectral age models, we require high-resolution multiwavelength data. The new sensitive and high-resolution MIGHTEE survey of the XMM-LSS field, along with data from the Low Frequency Array (LOFAR) and the Giant Metrewave Radio Telescope (GMRT) provide data taken at different frequencies with similar resolution, which enables us to determine the spectral age distribution for radio-loud AGN in the survey field. In this study, we present a sample of 28 radio galaxies with their best-fitting spectral age distribution analysed using the Jaffe–Perola (JP) model on a pixel-by-pixel basis. Fits are generally good, and objects in our sample show maximum ages within the range of 2.8 to 115 Myr with a median of 8.71 Myr. High-resolution maps over a range of frequencies are required to observe detailed age distributions for small sources, and high-sensitivity maps will be needed in order to observe fainter extended emission. We do not observe any correlation between the total physical size of the sources and their age, and we speculate that both dynamical models and the approach to spectral age analysis may need some modification to account for our observations.