318 papers
This paper presents a comprehensive catalog of over 1.1 million massive star candidates across 26 nearby galaxies, generated using a machine-learning classifier on Spitzer and Pan-STARRS1 photometry, which identifies nearly 120,500 red supergiants and other evolved massive stars to facilitate studies on mass loss, metallicity effects, and luminosity limits.
This paper demonstrates that Fuzzy Dark Matter with non-zero quartic self-interaction (SFDM) can simultaneously fit the rotation curves of 17 SPARC galaxies with a single set of boson mass and self-coupling parameters, enabling the successful dynamical reconstruction of their host halos through numerical merger simulations.
This paper proposes that high-redshift "little blue dots" are infant black holes undergoing super-Eddington accretion within geometrically thick disks, where a collimated "searchlight" radiation field and equatorial shadowing naturally explain their observed faint high-ionization lines, strong Balmer emission, and rapid growth potential.
Using multi-spacecraft observations from Earth's magnetosheath, this study provides the first quantitative evidence that compressible MHD turbulence exhibits a weak-to-strong transition specifically in slow modes, while fast modes remain weakly turbulent, thereby offering a comprehensive characterization of spatiotemporal properties across different turbulence regimes.
This paper introduces CODES, a principled framework for systematically optimizing and benchmarking neural surrogate models for nonequilibrium chemistry, revealing distinct accuracy-efficiency trade-offs across architectures while providing public tools for reproducible astrochemical simulations.
This paper presents high-resolution 5 GHz e-MERLIN observations of a statistically complete sample of nearby galaxies, revealing that compact radio cores and jets are the primary manifestation of black hole activity in the local Universe, with up to 30% of galaxies hosting such radio-active nuclei.
This study uses thermochemical modeling to demonstrate that dust-depleted inner regions of protoplanetary disks around Herbig stars are molecular-rich environments where dust sublimation significantly enhances SiO abundance, making CO and SiO overtone lines key tracers for understanding terrestrial planet formation.
This paper presents a supervised machine learning framework using Extreme Gradient Boosting (XGBoost) to accurately predict the future 3D evolution and collapse of prestellar cores within magnetized molecular clouds by mapping instantaneous gas phase-space states, offering a computationally efficient alternative to traditional sink-particle algorithms.
This paper introduces a new discretized grain size evolution model within the FIRE-3 framework that reveals a bimodal dust size distribution and demonstrates how the interplay between dust growth, destruction, and coagulation processes shapes Local Group dust abundances and extinction curve properties, while highlighting the need for alternative mechanisms like top-down PAH formation to explain observed infrared emission features.
This study utilizes 3D magnetohydrodynamic simulations to demonstrate that the structure and mechanical feedback of massive star cluster winds are determined by the surrounding cavity's density and pressure, enabling a novel, computationally efficient method to model wind termination shocks across different cluster ages and validate them with a semi-analytical approach.
This paper addresses the biases in traditional ellipticity measurements of globular clusters by developing and validating a robust method using ground-based and space-based photometry, which reveals that rotation is the primary driver of flattening in ten specific Galactic clusters while also highlighting the roles of velocity anisotropy and tides.
This paper proposes that a reaction-diffusion model featuring a moving reaction front driven by protostellar outflows explains the observed evolutionary transition of young stellar disks from structureless Class 0 systems to ring-gap structured Class II systems.
The JWST POPPIES program has identified CGG-z7, a unique pre-virialized galaxy group at consisting of six compact members undergoing a major merger, which exhibits extreme ionization and a high stellar-to-dynamical mass ratio indicative of rapid, chaotic assembly toward forming a massive "Red Nugget."
This paper utilizes JWST/NIRCam photometry to identify a large sample of contamination-free Red Supergiant candidates across five metal-poor Local Group galaxies by establishing an optimal color-color diagram, thereby demonstrating JWST's superior capability to construct more complete stellar censuses than previous studies.
This study combines simulated mock observations and SAMI survey data to demonstrate that stellar bar formation reduces galaxy spin proxies and that weakly barred galaxies exhibit younger stellar populations and higher spin values, suggesting they are in a rapid formation phase compared to the slower secular evolution of strongly barred galaxies.
This paper introduces the Galaxy Replacement Technique (GRT), a high-resolution -body simulation framework designed to efficiently model the gravitational evolution of stellar components and Low-Surface-Brightness (LSB) structures, thereby providing a theoretical foundation for interpreting upcoming deep imaging data from the K-DRIFT telescope.
Using VISTA near-infrared photometry of red giant stars, this study reveals a systematic age gradient in the Galactic Bulge where stellar populations become significantly older with increasing galactic latitude, suggesting a dual origin involving a younger pseudo-bulge formed by disk/bar processes near the plane and an older spheroidal component from early collapse or mergers at higher latitudes.
This paper presents a refined sample of 15 new high-probability Spiral Double Radio Active Galactic Nuclei (SDRAGNs) identified through Radio Galaxy Zoo and Hubble Space Telescope observations, revealing that these rare hosts of large FR II radio sources are preferentially edge-on, harbor pseudobulges, exhibit diverse nuclear activity including star formation, and reside in significant galaxy overdensities.
This paper presents multi-epoch optical spectroscopy of the interstellar comet 3I/ATLAS from late 2025 to early 2026, revealing post-perihelion compositional shifts—including enhanced metal and CO production and a gradual volatile decline—that suggest the activation of subsurface material, seasonal heterogeneity, and potential metal carbonyl chemistry.
This study demonstrates that convolutional neural networks can accurately predict star cluster ages from broadband imaging by identifying physically meaningful, age-dependent environmental cues in the surrounding interstellar medium, particularly for young clusters where traditional color-based methods face limitations.