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

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

Giant molecular cloud catalogues for PHANGS-ALMA: Methods and initial results

Monthly Notices of the Royal Astronomical Society 502:1 (2021) 1218-1245

Authors:

E Rosolowsky, A Hughes, AK Leroy, J Sun, M Querejeta, A Schruba, A Usero, CN Herrera, D Liu, J Pety, T Saito, I Bešlić, F Bigiel, G Blanc, M Chevance, DA Dale, S Deger, CM Faesi, SCO Glover, JD Henshaw, RS Klessen, JMD Kruijssen, K Larson, J Lee, S Meidt, A Mok, E Schinnerer, DA Thilker, TG Williams

Abstract:

We present improved methods for segmenting CO emission from galaxies into individual molecular clouds, providing an update to the cprops algorithms presented by Rosolowsky & Leroy. The new code enables both homogenization of the noise and spatial resolution among data, which allows for rigorous comparative analysis. The code also models the completeness of the data via false source injection and includes an updated segmentation approach to better deal with blended emission. These improved algorithms are implemented in a publicly available Python package, pycprops. We apply these methods to 10 of the nearest galaxies in the PHANGS-ALMA survey, cataloguing CO emission at a common 90 pc resolution and a matched noise level. We measure the properties of 4986 individual clouds identified in these targets. We investigate the scaling relations among cloud properties and the cloud mass distributions in each galaxy. The physical properties of clouds vary among galaxies, both as a function of galactocentric radius and as a function of dynamical environment. Overall, the clouds in our target galaxies are well-described by approximate energy equipartition, although clouds in stellar bars and galaxy centres show elevated line widths and virial parameters. The mass distribution of clouds in spiral arms has a typical mass scale that is 2.5× larger than interarm clouds and spiral arms clouds show slightly lower median virial parameters compared to interarm clouds (1.2 versus 1.4).