MIGHTEE-H I: the first MeerKAT H I mass function from an untargeted interferometric survey

Monthly Notices of the Royal Astronomical Society Oxford University Press 522:4 (2023) 5308-5319

Authors:

Anastasia A Ponomareva, Matt J Jarvis, Hengxing Pan, Natasha Maddox, Michael G Jones, Bradley S Frank, Sambatriniaina HA Rajohnson, Wanga Mulaudzi, Martin Meyer, Elizabeth AK Adams, Maarten Baes, Kelley M Hess, Sushma Kurapati, Isabella Prandoni, Francesco Sinigaglia, Kristine Spekkens, Madalina Tudorache, Ian Heywood, Jordan D Collier, Srikrishna Sekhar

Abstract:

We present the first measurement of the H I mass function (HIMF) using data from MeerKAT, based on 276 direct detections from the MeerKAT International GigaHertz Tiered Extragalactic Exploration (MIGHTEE) Survey Early Science data covering a period of approximately a billion years (0 ≤ z ≤ 0.084). This is the first HIMF measured using interferometric data over non-group or cluster field, i.e. a deep blank field. We constrain the parameters of the Schechter function that describes the HIMF with two different methods: 1/Vmax and modified maximum likelihood (MML). We find a low-mass slope α=−1.29+0.37−0.26 , ‘knee’ mass log10(M∗/M⊙)=10.07+0.24−0.24 and normalization log10(ϕ∗/Mpc−3)=−2.34+0.32−0.36 (H0 = 67.4 km s−1 Mpc−1) for 1/Vmax , and α=−1.44+0.13−0.10 , ‘knee’ mass log10(M∗/M⊙)=10.22+0.10−0.13 and normalization log10(ϕ∗/Mpc−3)=−2.52+0.19−0.14 for MML. When using 1/Vmax we find both the low-mass slope and ‘knee’ mass to be consistent within 1σ with previous studies based on single-dish surveys. The cosmological mass density of H I is found to be slightly larger than previously reported: ΩHI=5.46+0.94−0.99×10−4h−167.4 from 1/Vmax and ΩHI=6.31+0.31−0.31×10−4h−167.4 from MML but consistent within the uncertainties. We find no evidence for evolution of the HIMF over the last billion years.

Spectroscopic confirmation of four metal-poor galaxies at z = 10.3–13.2

Nature Astronomy Springer Nature 7:5 (2023) 622-632

Authors:

Emma Curtis-Lake, Stefano Carniani, Alex Cameron, Stephane Charlot, Peter Jakobsen, Roberto Maiolino, Andrew Bunker, Joris Witstok, Renske Smit, Jacopo Chevallard, Chris Willott, Pierre Ferruit, Santiago Arribas, Nina Bonaventura, Mirko Curti, Francesco D’Eugenio, Marijn Franx, Giovanna Giardino, Tobias J Looser, Nora Lützgendorf, Michael V Maseda, Tim Rawle, Hans-Walter Rix, Bruno Rodríguez del Pino, Hannah Übler, Marco Sirianni, Alan Dressler, Eiichi Egami, Daniel J Eisenstein, Ryan Endsley, Kevin Hainline, Ryan Hausen, Benjamin D Johnson, Marcia Rieke, Brant Robertson, Irene Shivaei, Daniel P Stark, Sandro Tacchella, Christina C Williams, Christopher NA Willmer, Rachana Bhatawdekar, Rebecca Bowler, Kristan Boyett, Zuyi Chen, Anna de Graaff, Jakob M Helton, Raphael E Hviding, Gareth C Jones, Nimisha Kumari, Jianwei Lyu, Erica Nelson, Michele Perna, Lester Sandles, Aayush Saxena, Katherine A Suess, Fengwu Sun, Michael W Topping, Imaan EB Wallace, Lily Whitler

Zoobot: Adaptable Deep Learning Models for GalaxyMorphology

The Journal of Open Source Software The Open Journal 8:85 (2023) 5312

Authors:

Mike Walmsley, Campbell Allen, Ben Aussel, Micah Bowles, Kasia Gregorowicz, Inigo Val Slijepcevic, Chris J Lintott, Anna MM Scaife, Maja Jabłońska, Kosio Karchev, Denise Lanzieri, Devina Mohan, David O’Ryan, Bharath Saiguhan, Crisel Suárez, Nicolás Guerra-Varas, Renuka Velu

MaNGA DynPop – I. Quality-assessed stellar dynamical modelling from integral-field spectroscopy of 10K nearby galaxies: a catalogue of masses, mass-to-light ratios, density profiles, and dark matter

Monthly Notices of the Royal Astronomical Society Oxford University Press 522:4 (2023) 6326-6353

Authors:

Kai Zhu, Shengdong Lu, Michele Cappellari, Ran Li, Shude Mao, Liang Gao

Abstract:

This is the first paper in our series on the combined analysis of the Dynamics and stellar Population (DynPop) for the MaNGA survey in the final SDSS Data Release 17 (DR17). Here, we present a catalogue of dynamically determined quantities for over 10 000 nearby galaxies based on integral-field stellar kinematics from the MaNGA survey. The dynamical properties are extracted using the axisymmetric Jeans Anisotropic Modelling (JAM) method, which was previously shown to be the most accurate for this kind of study. We assess systematic uncertainties using eight dynamical models with different assumptions. We use two orientations of the velocity ellipsoid: either cylindrically aligned JAMcyl or spherically aligned JAMsph. We also make four assumptions for the models’ dark versus luminous matter distributions: (1) mass-follows-light, (2) free NFW dark halo, (3) cosmologically constrained NFW halo, (4) generalized NFW dark halo, i.e. with free inner slope. In this catalogue, we provide the quantities related to the mass distributions (e.g. the density slopes and enclosed mass within a sphere of a given radius for total mass, stellar mass, and dark matter mass components). We also provide the complete models which can be used to compute the full luminous and mass distribution of each galaxy. Additionally, we visually assess the qualities of the models to help with model selections. We estimate the observed scatter in the measured quantities which decreases as expected with improvements in quality. For the best data quality, we find a remarkable consistency of measured quantities between different models, highlighting the robustness of the results.

The LOFAR Two-metre Sky Survey: Deep Fields data release 1. V. Survey description, source classifications, and host galaxy properties

Monthly Notices of the Royal Astronomical Society Oxford University Press 523:2 (2023) 1729-1755

Authors:

Pn Best, R Kondapally, Wl Williams, Rk Cochrane, Kj Duncan, Cl Hale, P Haskell, K Małek, I McCheyne, Djb Smith, L Wang, A Botteon, M Bonato, M Bondi, G Calistro Rivera, F Gao, G Gürkan, Mj Hardcastle, Matthew J Jarvis, B Mingo, H Miraghaei, Lk Morabito, D Nisbet, I Prandoni, Hja Röttgering, J Sabater, T Shimwell, C Tasse, R van Weeren

Abstract:

Source classifications, stellar masses, and star-formation rates are presented for ≈80 000 radio sources from the first data release of the Low Frequency Array Two-metre Sky Survey (LoTSS) Deep Fields, which represents the widest deep radio survey ever undertaken. Using deep multi-wavelength data spanning from the ultraviolet to the far-infrared, spectral energy distribution (SED) fitting is carried out for all of the LoTSS Deep host galaxies using four different SED codes, two of which include modelling of the contributions from an active galactic nucleus (AGN). Comparing the results of the four codes, galaxies that host a radiative AGN are identified, and an optimized consensus estimate of the stellar mass and star-formation rate for each galaxy is derived. Those galaxies with an excess of radio emission over that expected from star formation are then identified, and the LoTSS Deep sources are divided into four classes: star-forming galaxies, radio-quiet AGN, and radio-loud high-excitation and low-excitation AGN. Ninety-five per cent of the sources can be reliably classified, of which more than two-thirds are star-forming galaxies, ranging from normal galaxies in the nearby Universe to highly-starbursting systems at z > 4. Star-forming galaxies become the dominant population below 150-MHz flux densities of ≈1 mJy, accounting for 90 per cent of sources at S150MHz ∼ 100 μJy. Radio-quiet AGN comprise ≈10 per cent of the overall population. Results are compared against the predictions of the SKADS and T-RECS radio sky simulations, and improvements to the simulations are suggested.