317 papers
This study utilizes GALEX UV and WISE infrared imaging to analyze star formation in the dwarf galaxy DDO 43, revealing a general correlation between UV and IR fluxes indicative of coherent star formation while identifying specific regions with elevated IR but low UV emission that suggest localized, dust-obscured star formation.
Using high-resolution simulations, this study reveals that kinetic energy dissipation in subsonic turbulence is vorticity-dominated, localized on small scales, and lags energy injection by approximately 1.64 turnover times, whereas supersonic dissipation is density-correlated, spans multiple scales via shocks and vorticity, and lags by only 0.48 turnover times, with distinct fractal structures identified in both regimes.
This paper introduces NEST, a model-driven deep learning framework that rapidly estimates stellar ages for over 1.3 million stars across multiple evolutionary grids with high accuracy and a 60,000-fold speedup compared to traditional Bayesian methods, thereby enabling large-scale galactic archeology studies.
This paper utilizes new ASKAP radio polarimetry data alongside archival multiwavelength observations to characterize the complex morphology and highly ordered magnetic field of the supernova remnant G309.8-2.6, revealing an extended relic pulsar wind nebula and proposing scenarios to explain its peculiar S-shaped structure.
This paper presents a data-driven method using Non-negative Matrix Factorization to accurately estimate spectroscopic redshifts for MUSE galaxy spectra with a 93.7% success rate, while also enabling the separation of true sources and detection of blended objects.
This paper develops a refined theoretical and statistical framework to test screened modified gravity theories using strongly lensed gravitational waves, demonstrating that future next-generation detectors can provide stringent constraints on the post-Newtonian parameter and detect deviations from General Relativity on kpc-Mpc scales by leveraging precise time delay measurements to resolve mass-sheet degeneracy.
This study analyzes the Indus stellar stream using Gaia data and N-body simulations to demonstrate that its observed longitudinal density fluctuations are primarily caused by natural epicyclic motions from tidal disruption rather than dark matter subhalo interactions, with the moderate sharpness of these peaks suggesting the progenitor dwarf galaxy originally possessed a cuspy dark matter halo.
This study reveals that optical quasi-periodic oscillations (QPOs) in the quasar 4C 50.43 exhibit distinct periodicities of 1124 and 513 days in different survey light curves, a discrepancy attributed to red noise and observational factors that cautions against the uncritical interpretation of optical QPOs as definitive indicators of binary black holes in active galactic nuclei.
This paper presents the first systematic search for low-mass-ratio planets () in the re-reduced 2023 KMTNet microlensing data, identifying three strong planet candidates including KMT-2023-BLG-0164, whose host system was characterized via spectroscopy despite being projected on a bright foreground star.
This study presents HI observations of 19 giant low surface brightness galaxies, revealing asymmetric gas disks and low gas content that, when compared with NIHAO simulations showing similar features in merger remnants, suggests these galaxies' extended optical disks may have formed following recent major mergers.
This paper summarizes the outcomes of a workshop held at the Lorentz Center seven years after the discovery of the Gaia Phase Spiral, aiming to consolidate current knowledge, identify open questions regarding the Galactic disk's response to perturbations, and invite the broader community to collaborate on ongoing research projects.
This paper presents a new image-segmentation methodology to construct homogeneous HII region catalogues in NGC 2403 and NGC 628, revealing low volume filling factors and tentative scaling relations between electron densities and galaxy properties that offer new constraints for massive cluster formation models and high-redshift interpretations.
Using tailored N-body simulations across various Milky Way mass models, this study reconstructs the infall mass of the Sextans dwarf spheroidal galaxy to range between $1.223.14\times10^9\rm\,M_\odot$, demonstrating that its current stellar kinematics provide robust dynamical constraints while its dark matter tidal loss is primarily driven by the host galaxy's mass.
By applying self-supervised contrastive learning and spectral energy distribution fitting to DESI Legacy Survey images, researchers overcame the challenge of foreground contamination to identify and spectroscopically confirm 16 new high-redshift quasars (–6.45), including three missed by traditional methods, thereby demonstrating a scalable framework for uncovering rare early-universe sources.
By analyzing all-sky kinematics of outer halo stars out to 160 kpc using Simulation Based Inference on 32,000 rigid MW-LMC simulations, this study quantifies the Milky Way's and LMC's masses while characterizing the reflex motion induced by the LMC's recent pericentric passage, revealing that the LMC's mass is at least 20% of the Milky Way's and that neglecting this interaction biases mass estimates.
The paper introduces **unxt**, a Python package built on the **quax** framework that integrates **astropy.units** with **JAX** to enable seamless, high-performance, unit-aware scientific computing.
This paper analyzes LIGO-Virgo-KAGRA observations from 2015 to early 2024 to demonstrate that the binary black hole population is best explained by a combination of first-generation stellar remnants, hierarchical merger products, and potentially primordial black holes, rather than solely by the collapse of massive stars.
This paper proposes an uncertainty-aware, explainable-by-design subsequence-based model that achieves state-of-the-art classification performance for astronomical uncertain time series by incorporating data uncertainty as an input, thereby enabling domain experts to inspect predictions and potentially inspire new theoretical astrophysics developments.
This study identifies Compton-thick active galactic nuclei within a sample of 1,104 mid-infrared-selected, X-ray-undetected AGNs in the COSMOS field by combining MIR diagnostics and X-ray stacking analysis, confirming 23 candidates but finding that they constitute only 2.1% of the sample, suggesting that a significant population of Compton-thick AGNs remains undetected by current selection methods.
This paper proposes that supermassive black hole seeds form via monolithic collapse of gas confined by solitonic cores in ultralight dark matter halos, a mechanism that naturally explains the observed masses of early black holes and recent "little red dot" candidates without requiring external UV backgrounds.