Deep extragalactic visible legacy survey (DEVILS): stellar mass growth by morphological type since z=1

Monthly Notices of the Royal Astronomical Society Royal Astronomical Society 505:1 (2021) 136-160

Authors:

Abdolhosein Hashemizadeh, Simon P Driver, Luke JM Davies, Aaron SG Robotham, Sabine Bellstedt, Rogier A Windhorst, Malcolm Bremer, Steven Phillipps, Matt Jarvis, Benne W Holwerda, Claudia del P Lagos, Soheil Koushan, Malgorzata Siudek, Natasha Maddox, Jessica E Thorne, Pascal Elahi

Abstract:

Using high-resolution Hubble Space Telescope imaging data, we perform a visual morphological classification of ∼36 000 galaxies at z < 1 in the deep extragalactic visible legacy survey/cosmological evolution survey region. As the main goal of this study, we derive the stellar mass function (SMF) and stellar mass density (SMD) sub-divided by morphological types. We find that visual morphological classification using optical imaging is increasingly difficult at z > 1 as the fraction of irregular galaxies and merger systems (when observed at rest-frame UV/blue wavelengths) dramatically increases. We determine that roughly two-thirds of the total stellar mass of the Universe today was in place by z ∼ 1. Double-component galaxies dominate the SMD at all epochs and increase in their contribution to the stellar mass budget to the present day. Elliptical galaxies are the second most dominant morphological type and increase their SMD by ∼2.5 times, while by contrast, the pure-disc population significantly decreases by ∼85 per cent⁠. According to the evolution of both high- and low-mass ends of the SMF, we find that mergers and in situ evolution in discs are both present at z < 1, and conclude that double-component galaxies are predominantly being built by the in situ evolution in discs (apparent as the growth of the low-mass end with time), while mergers are likely responsible for the growth of ellipticals (apparent as the increase of intermediate/high-mass end).

The radio galaxy population in the SIMBA simulations

Monthly Notices of the Royal Astronomical Society Royal Astronomical Society 503:3 (2021) 3492-3509

Authors:

Nicole Thomas, Romeel Davé, Matt J Jarvis, Daniel Anglés-Alcázar

Abstract:

We examine the 1.4 GHz radio luminosities of galaxies arising from star formation and active galactic nuclei (AGNs) within the state-of-the-art cosmological hydrodynamic simulation SIMBA. SIMBA grows black holes via gravitational torque limited accretion from cold gas and Bondi accretion from hot gas, and employs AGN feedback including jets at low Eddington ratios. We define a population of radio loud AGNs (RLAGNs) based on the presence of ongoing jet feedback. Within RLAGN, we define high and low excitation radio galaxies (HERGs and LERGs) based on their dominant mode of black hole accretion: torque limited accretion representing feeding from a cold disc, or Bondi representing advection-dominated accretion from a hot medium. SIMBA predicts good agreement with the observed radio luminosity function (RLF) and its evolution, overall as well as separately for HERGs and LERGs. Quiescent galaxies with AGN-dominated radio flux dominate the RLF at ≳1022−23 W Hz−1, while star formation dominates at lower radio powers. Overall, RLAGNs have higher black hole accretion rates and lower star formation rates than non-RLAGN at a given stellar mass or velocity dispersion, but have similar black hole masses. SIMBA predicts an LERG number density of 8.53 Mpc−3, ∼10× higher than for HERGs, broadly as observed. While LERGs dominate among most massive galaxies with the largest black holes and HERGs dominate at high specific star formation rates, they otherwise largely populate similar-sized dark matter haloes and have similar host galaxy properties. SIMBA thus predicts that deeper radio surveys will reveal an increasing overlap between the host galaxy demographics of HERGs and LERGs.

A Complete 16 micron-Selected Galaxy Sample at $z\sim1$: Mid-infrared Spectral Energy Distributions

(2021)

Authors:

J-S Huang, Y-S Dai, SP Willner, SM Faber, C Cheng, H Xu, S Wu, X Shao, C Hao, X Xia, D Rigopoulou, M Pereira Santaella, G Magdis, I Cortzen, H Yan, G Fazio, P Assmann, N Araneda, L Fan, M Musin, Z Wang, KC Xu, C He, A Esamdin

Australian square kilometre array pathfinder: I. system description

Publications of the Astronomical Society of Australia Astronomical Society of Australia 38 (2021) e009

Authors:

Aw Hotan, Jd Bunton, Ap Chippendale, M Whiting, J Tuthill, Va Moss, D McConnell, Sw Amy, Mt Huynh, Jr Allison, Cs Anderson, Kw Bannister, E Bastholm, R Beresford, Dc-J Bock, R Bolton, Jm Chapman, K Chow, Jd Collier, Fr Cooray, Tj Cornwell, Pj Diamond, Pg Edwards, Ij Feain, Tmo Franzen, D George, N Gupta, Ga Hampson, L Harvey-Smith, Db Hayman, I Heywood, C Jacka, Ca Jackson, S Jackson, K Jeganathan, S Johnston, M Kesteven, D Kleiner, Bs Koribalski, K Lee-Waddell, E Lenc, Es Lensson, S Mackay, Ek Mahony, Nm McClure-Griffiths, R McConigley, P Mirtschin, Ak Ng, Rp Norris

Abstract:

In this paper, we describe the system design and capabilities of the Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope at the conclusion of its construction project and commencement of science operations. ASKAP is one of the first radio telescopes to deploy phased array feed (PAF) technology on a large scale, giving it an instantaneous field of view that covers 31 deg2 at 800 MHz. As a two-dimensional array of 36x12 m antennas, with baselines ranging from 22 m to 6 km, ASKAP also has excellent snapshot imaging capability and 10 arcsec resolution. This, combined with 288 MHz of instantaneous bandwidth and a unique third axis of rotation on each antenna, gives ASKAP the capability to create high dynamic range images of large sky areas very quickly. It is an excellent telescope for surveys between 700 and 1800 MHz and is expected to facilitate great advances in our understanding of galaxy formation, cosmology, and radio transients while opening new parameter space for discovery of the unknown.

First and second-generation black hole and neutron star mergers in 2+2 quadruples: population statistics

(2021)

Authors:

Adrian S Hamers, Giacomo Fragione, Patrick Neunteufel, Bence Kocsis