1092 papers
The StarWhisper Telescope system is an AI agent framework that automates end-to-end astronomical observations by integrating large language models with specialized workflows to autonomously plan observations, analyze data, and trigger follow-ups, thereby reducing human intervention and demonstrating scalable potential for future large-scale telescope arrays.
This study utilizes JWST/NIRSpec IFU and ALMA observations to characterize the interstellar medium properties, gas-phase metallicity, and tidal interactions within the two distinct cores of the massive merging galaxy system B14-65666 at z=7.152, revealing its unique evolutionary pathway compared to typical high-redshift galaxies.
This paper proposes that the quasi-steady radio emission from repeating fast radio bursts originates from a magnetar wind nebula interacting with supernova ejecta, successfully modeling the observed fluxes for different sources using rotation-powered or magnetar-flare-powered neutron star scenarios with specific ages, magnetic fields, and progenitor types.
Using the IllustrisTNG hydrodynamical simulation, this study demonstrates that galaxy assembly bias varies significantly with selection criteria, number density, and redshift, cannot be fully captured by a single secondary halo property, and arises from the interplay between halo assembly bias and occupancy variation, for which the authors propose a fast analytical prediction method.
This paper introduces a novel "thermodynamic forcing" method implemented in particle-in-cell simulations to systematically model transport in weakly collisional plasmas, revealing that heat-flux saturation under multiple macroscopic gradients is mediated by the bulk-velocity-gradient-driven electron firehose instability rather than the temperature-gradient-driven whistler instability.
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.
This paper reviews the unique data analysis challenges of the Taiji space-based gravitational wave mission and introduces the Taiji Data Challenge II alongside the open-source Triangle toolkit, which together provide a high-fidelity simulation platform to bridge the gap between theoretical objectives and realistic detection pipelines.
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 investigates ghost-free cubic Poincaré gauge gravity within flat FLRW cosmology, demonstrating that its new dynamical degrees of freedom lead to faster expanding universes with matter content estimates consistent with the standard model across two distinct hypermomentum conservation scenarios.
Using IllustrisTNG simulations, this study demonstrates that thermal emission from warm gas substructures (WCGM) inside clusters and diffuse filaments (WHIM) outside them successfully reproduces the observed soft X-ray excess, suggesting this excess serves as a proxy for the dynamical state of galaxy clusters.
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.
This paper presents new MeerKAT observations of 21 massive, dynamically active galaxy clusters that reveal extended radio emission in all targets, including several new halos and relics, thereby confirming a power-mass correlation for halos and demonstrating the ability to detect low-power relics to better test numerical simulations of cluster evolution.
This paper presents an improved binary black hole search discriminator that utilizes singular value decomposition of real non-Gaussian noise transients to construct a statistic, demonstrating performance comparable to sine-Gaussian-based methods while offering a more direct approach for modeling complex glitches.
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 uses particle-in-cell simulations to demonstrate that asymmetric erosion of intense radio pulses in longitudinally magnetized plasma can generate circular polarization from linearly polarized inputs, offering a potential mechanism to explain the circularly polarized fast radio bursts observed from magnetars.
This paper investigates how dark matter-driven dynamical friction affects eccentric binary pulsars embedded in ultralight scalar fields, demonstrating that orbital eccentricity significantly amplifies these environmental imprints and enhances the systems' potential as sensitive probes for dark matter signatures.
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 applying a prior-free forward-modeling approach to the Cosmicflows-4 catalog, this study reconstructs the local velocity field to derive a Hubble constant of $75.9\pm1\Lambda$CDM predictions.