galaxies

Black hole mergers as tracers of spinning massive black hole and galaxy populations in the Obelisk simulation

First author: C. A. Dong-Páez Massive black hole (BH) mergers will be key targets of future gravitational wave and electromagnetic observational facilities. In order to constrain BH evolution with the information extracted from BH mergers, one must take into account the complex relationship between the population of merging BHs and the global BH population. We analyse the high-resolution cosmological radiation-hydrodynamics simulation Obelisk, run to redshift $z=3.5$, to study the properties of the merging BH population, and its differences with the underlying global BH population in terms of BH and galaxy properties.

Census of Gaseous Satellites around Local Spiral Galaxies

First author: Jingyao Zhu We present a search for gas-containing dwarf galaxies as satellite systems around nearby spiral galaxies using 21 cm neutral hydrogen (HI) data from the Arecibo Legacy Fast ALFA (ALFALFA) Survey. We have identified 15 spiral `primary’ galaxies in a local volume of 10 Mpc with a range of total masses, and have found 19 gas-containing dwarf satellite candidates within the primaries’ virial volumes ($R_{200}$) and 46 candidates within $2R_{200}$.

Harnessing the Hubble Space Telescope Archives: A Catalogue of 21,926 Interacting Galaxies

First author: David O’Ryan Mergers play a complex role in galaxy formation and evolution. Continuing to improve our understanding of these systems require ever larger samples, which can be difficult (even impossible) to select from individual surveys. We use the new platform ESA Datalabs to assemble a catalogue of interacting galaxies from the Hubble Space Telescope science archives; this catalogue is larger than previously published catalogues by nearly an order of magnitude.

Impact of Galaxy Mergers on Stellar Population Profiles of Early-type Galaxies

First author: Yongmin Yoon We study the impact of galaxy mergers on stellar population profiles/gradients of early-type galaxies (ETGs) using ETGs at $z<0.055$ in the Stripe 82 region of the Sloan Digital Sky Survey and MaNGA integral field unit spectroscopic data. Tidal features around ETGs, which are detected from deep coadded images, are regarded as direct observational evidence for recent mergers. We find that ETGs with tidal features have less negative metallicity gradients and more positive age gradients than ETGs without tidal features at $M_\mathrm{star}\gtrsim10^{10.

Misaligned gas accretion as a formation pathway of S0 galaxies

First author: Yuren Zhou We select 753 S0 galaxies from the internal Product Lauch-10 of MaNGA survey (MPL-10) and find that $\sim$11% of S0 galaxies show gas-star kinematic misalignments, which is higher than the misaligned fraction in spiral ($\sim$1%) and elliptical galaxies ($\sim$6%) in MPL-10. If we only consider the emission-line galaxies (401 emission-line S0s), the misaligned fraction in S0s increases to $\sim$20%. In S0s, the kinematic misalignments are more common than the merger remnant features ($\sim$8%).

Revisiting the alignment of radio galaxies in the ELAIS-N1 field

First author: Marco Simonte Aims. Previous studies reported an alignment of the major axes of radio galaxies on various angular scales. Here, we study the alignment of radio galaxies in the ELAIS-N1 Low Frequency ARray (LOFAR) deep field, which covers an area of 25 $\rm deg^2$. \newline Methods. The low noise level of about 20$ \rm ~ \mu Jy/beam$ of the LOFAR deep field observations at 150 MHz enabled the identification of 447 extended ($> 30 \rm ‘’$) radio galaxies for which we have measured the major axis position angle.

Searching for galaxy-scale strong-lenses in galaxy clusters with deep networks -- I: methodology and network performance

First author: G. Angora Galaxy-scale strong lenses in galaxy clusters provide a unique tool to investigate their inner mass distribution and the sub-halo density profiles in the low-mass regime, which can be compared with the predictions from cosmological simulations. We search for galaxy-galaxy strong-lensing systems in HST multi-band imaging of galaxy cluster cores from the CLASH and HFF programs by exploring the classification capabilities of deep learning techniques. Convolutional neural networks are trained utilising highly-realistic simulations of galaxy-scale strong lenses injected into the HST cluster fields around cluster members.

Systematically Measuring Ultra-Diffuse Galaxies (SMUDGes). IV. Ultra-Diffuse Satellites of Milky Way Analogs

First author: Hina Goto To better understand the formation of large, low surface brightness galaxies, we measure the correlation function between ultra-diffuse galaxy (UDG) candidates and Milky Way analogs (MWAs). We find that (1) the projected radial distribution of UDG satellites (projected surface density $\propto r^{-0.84\pm0.06}$) is consistent with that of normal satellite galaxies, (2) the number of UDG satellites per MWA ($S_{\rm UDG}$) is $\sim 0.5\pm0.1$ over projected radii from 20 to 250 kpc and $-17< M_r < -13.

A universal equation to predict $Ω_{\rm m}$ from halo and galaxy catalogues

First author: Helen Shao We discover analytic equations that can infer the value of $\Omega_{\rm m}$ from the positions and velocity moduli of halo and galaxy catalogues. The equations are derived by combining a tailored graph neural network (GNN) architecture with symbolic regression. We first train the GNN on dark matter halos from Gadget N-body simulations to perform field-level likelihood-free inference, and show that our model can infer $\Omega_{\rm m}$ with $\sim6%$ accuracy from halo catalogues of thousands of N-body simulations run with six different codes: Abacus, CUBEP$^3$M, Gadget, Enzo, PKDGrav3, and Ramses.

Deep Synoptic Array science: A massive elliptical host among two galaxy-cluster fast radio bursts

First author: Kritti Sharma The stellar population environments associated with fast radio burst (FRB) sources provide important insights for developing their progenitor theories. We expand the diversity of known FRB host environments by reporting two FRBs in massive galaxy clusters discovered by the Deep Synoptic Array (DSA-110) during its commissioning observations. FRB 20220914A has been localized to a star-forming, late-type galaxy at a redshift of 0.1139 with multiple starbursts at lookback times less than $\sim$3.