365 papers
This paper presents a systematic method using astrometric data to identify 4,062 new quasar pair candidates within 100 kpc of known quasars, significantly expanding the available sample for studying quasar interactions and galaxy evolution.
This paper presents a statistically significant sample of 1,220 quasar pairs and candidates compiled from DESI DR1, which includes 1,020 confirmed pairs and a notable wide-separation quadruply lensed quasar candidate, providing a crucial dataset for studying galaxy mergers and black hole growth.
JWST observations of the massive ultra-compact galaxy GS-9209 at reveal it to be a fast-rotating system with low dark matter content, suggesting that early quenching was a dynamically gentle process that preserved stellar discs in these rare objects.
The paper introduces AGNBoost, an efficient XGBoostLSS-based machine learning framework that leverages JWST NIRCam and MIRI photometry to robustly identify active galactic nuclei and estimate redshifts, demonstrating high accuracy and generalizability across simulated, template-based, and real observational datasets.
This paper presents a deep learning pipeline based on a ConvLSTM2D architecture that effectively detects strongly lensed Type Ia supernovae in multi-band time-series imaging data, achieving high true-positive rates with low false-positive rates by the 7th to 9th observation to enable timely follow-up for upcoming surveys like LSST.
By analyzing a unique high-redshift system where a massive quiescent galaxy's neutral outflow is observed against a background quasar, this study derives empirical calibrations for converting trace element column densities to hydrogen, confirming that local relations for Na I are applicable for estimating gas outflows driving galaxy quenching while revealing significant discrepancies for Mg II likely due to dust depletion variations.
This paper proposes that "little red dots" are supermassive stars surrounded by massive self-gravitating accretion discs formed during galaxy mergers, a model that successfully reproduces their observed spectral features and suggests they are progenitors to massive black holes consistent with current luminosity and abundance constraints.
By combining deep LegacySurvey imaging with MaNGA spectroscopy, this study reveals that the assembly history of low-redshift massive early-type galaxies is intricately linked to their central gravitational potential and outer stellar halos, demonstrating that distinct imprints of both in-situ star formation and ex-situ accretion shape their stellar populations beyond simple scaling relations.
Using CLASH-VLT data, this study reveals that while the average velocity anisotropy profile of massive galaxy clusters aligns with cosmological simulations, significant individual variance exists that reflects unique merging histories and cannot be explained by a single universal profile.
Using direct N-body and Monte Carlo simulations, this study demonstrates that extremely dense, low-metallicity young massive clusters observed by JWST inevitably undergo runaway stellar collisions to form very massive stars, which rapidly collapse into intermediate-mass black hole seeds of $10^310^5 M_\odot$, providing a viable pathway for early black hole formation and explaining high-redshift nitrogen abundances.
This study simulates the detection of massive black hole binaries in the LSST survey by generating realistic optical light curves from hydrodynamic accretion models, revealing that LSST can identify approximately 0.01–0.1 such systems per square degree, with periodogram analysis showing a higher success rate for detecting binaries with high eccentricities and unequal mass ratios.
This study demonstrates that while an anti-de Sitter vacuum in the dark energy sector can enhance early structure formation, it fails to simultaneously explain the JWST high-redshift galaxy excess and satisfy cosmological constraints from the CMB and low-redshift probes, thereby reinforcing the necessity of evolving astrophysical properties to resolve the tension.
This study analyzes COSMOS-Web galaxy groups from z=0 to z=3.7 using machine learning and multi-method approaches to reveal that quiescent galaxy fractions build up steadily from z=1.5–2 with earlier growth in richer groups, identifies a rare overdensity at z=3.4, and finds that while X-ray faint groups have lower quiescent fractions, the red sequence's slope and scatter remain stable over approximately 12 billion years.
This study quantifies how stochastic star-formation histories and dust influence the photometric selection and physical characterization of quiescent galaxy candidates using JWST/MIRI data, challenging the assumption that these galaxies are uniformly dust-free.
This study identifies two RQG-like massive quiescent galaxies in the FLARES simulations, revealing that AGN-driven feedback drives their rapid quenching and super-solar metallicity while suggesting that systematic errors and enhanced AGN accretion rates are needed to reconcile observed and predicted number densities.
This study utilizes Self-Organizing Maps on VISTA near- and mid-infrared images of approximately 10,000 Young Stellar Objects in the Orion complex to create a non-theoretical, data-driven grid of morphological prototypes and probabilistic maps linking these morphologies to evolutionary stages, thereby establishing a foundation for a novel spectro-morphological classification scheme.
This paper presents and validates a non-explosive pre-supernova (NEPS) feedback module within the COLIBRE galaxy formation model, demonstrating that incorporating momentum injection and photoheating from young massive stars effectively regulates star formation, improves numerical convergence, and synergistically enhances the efficacy of subsequent supernova feedback.
Analysis of deep JWST spectra of the luminous Little Red Dot FRESCO-GN-9771 reveals that its distinctive spectral features, including strong Balmer breaks, collisional Balmer lines with scattering wings, and optical [Fe II] emission, originate from a dense, warm, outflowing gas layer that obscures the central black hole and suggests its mass is significantly lower than virial estimates indicate.
This paper presents the discovery of 289 high-redshift () Lyman-break galaxies using UltraVISTA and Euclid imaging in the COSMOS field, which are used to constrain the rest-frame UV luminosity function and demonstrate the synergistic potential of combining these datasets for identifying extreme sources in the Epoch of Reionization.
Using the IllustrisTNG cosmological simulations, this study reveals that counterrotating stellar disks are rare but diverse structures in Milky Way-mass galaxies, primarily formed through the accretion of misaligned gas that triggers bursty in-situ star formation, thereby serving as valuable tracers of a galaxy's accretion history.