Optimal Inflationary Potentials

ArXiv 2310.16786 (2023)

Authors:

Tomás Sousa, Deaglan J Bartlett, Harry Desmond, Pedro G Ferreira

On the Origin of the Variety of Velocity Dispersion Profiles of Galaxies

(2023)

Authors:

San Han, Sukyoung K Yi, Sree Oh, Mina Pak, Scott M Croom, Julien Devriendt, Yohan Dubois, Taysun Kimm, Katarina Kraljic, Christophe Pichon, Marta Volonteri

MaNGA DynPop – III. Stellar dynamics vs. stellar population relations in 6000 early-type and spiral galaxies: fundamental plane, mass-to-light ratios, total density slopes, and dark matter fractions

Monthly Notices of the Royal Astronomical Society Oxford University Press 527:1 (2023) 706-730

Authors:

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

Abstract:

We present dynamical scaling relations, combined with the stellar population properties, for a subsample of about 6000 nearby galaxies with the most reliable dynamical models extracted from the full Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) sample of 10 000 galaxies. We show that the inclination-corrected mass plane for both early-type galaxies (ETGs) and late-type galaxies (LTGs), which links dynamical mass, projected half-light radius Re, and the second stellar velocity moment σe within Re, satisfies the virial theorem and is even tighter than the uncorrected one. We find a clear parabolic relation between lg(M/L)e, the total mass-to-light ratio (M/L) within a sphere of radius Re, and lg σe, with the M/L increasing with σe and for older stellar populations. However, the relation for ETGs is linear and the one for the youngest galaxies is constant. We confirm and improve the relation between mass-weighted total density slopes γT and σe: γT become steeper with increasing σe until lg(σe/km s−1) ≈ 2.2 and then remain constant around γT ≈ 2.2. The γT –σe variation is larger for LTGs than ETGs. At fixed σe the total density profiles steepen with galaxy age and for ETGs. We find generally low dark matter fractions, median fDM(

The formation of cores in galaxies across cosmic time -- the existence of cores is not in tension with the LCDM paradigm

(2023)

Authors:

RA Jackson, S Kaviraj, SK Yi, S Peirani, Y Dubois, G Martin, JEG Devriendt, A Slyz, C Pichon, M Volonteri, T Kimm, K Kraljic

Cosmology from LOFAR Two-metre Sky Survey data release 2: angular clustering of radio sources

Monthly Notices of the Royal Astronomical Society Oxford University Press 527:3 (2023) 6540-6568

Authors:

Cl Hale, Dj Schwarz, Pn Best, Sj Nakoneczny, David Alonso, D Bacon, L Böhme, N Bhardwaj, M Bilicki, S Camera, Cs Heneka, M Pashapour-Ahmadabadi, P Tiwari, J Zheng, Kj Duncan, Mj Jarvis, R Kondapally, M Magliocchetti, Hja Rottgering, Tw Shimwell

Abstract:

Covering ∼ 5600 deg2 to rms sensitivities of ∼70−100 μJy beam−1, the LOFAR Two-metre Sky Survey Data Release 2 (LoTSS-DR2) provides the largest low-frequency (∼150 MHz) radio catalogue to date, making it an excellent tool for large-area radio cosmology studies. In this work, we use LoTSS-DR2 sources to investigate the angular two-point correlation function of galaxies within the survey. We discuss systematics in the data and an improved methodology for generating random catalogues, compared to that used for LoTSS-DR1, before presenting the angular clustering for ∼900 000 sources ≥1.5 mJy and a peak signal-to-noise ≥ 7.5 across ∼80 per cent of the observed area. Using the clustering, we infer the bias assuming two evolutionary models. When fitting angular scales of 0.5 ≤ θ < 5◦, using a linear bias model, we find LoTSS-DR2 sources are biased tracers of the underlying matter, with a bias of bC = 2.14+0.22 −0.20 (assuming constant bias) and bE(z = 0) = 1.79+0.15 −0.14 (for an evolving model, inversely proportional to the growth factor), corresponding to bE = 2.81+0.24 −0.22 at the median redshift of our sample, assuming the LoTSS Deep Fields redshift distribution is representative of our data. This reduces to bC = 2.02+0.17 −0.16 and bE(z = 0) = 1.67+0.12 −0.12 when allowing preferential redshift distributions from the Deep Fields to model our data. Whilst the clustering amplitude is slightly lower than LoTSS-DR1 (≥2 mJy), our study benefits from larger samples and improved redshift estimates.