1088 papers
This paper proposes and validates a novel method utilizing cross-arm features in Micro-Pore Optics point spread functions to significantly enhance the identification of contaminating sources and the localization accuracy of target sources for the CATCH space mission's detectors.
By analyzing 69 globular clusters with a hierarchical framework that explicitly accounts for multiple stellar populations, this study confirms that such complexity has a negligible impact on age estimates, yielding a robust, model-independent age for the Universe of $13.81 \pm 0.32$ Gyr.
Based on 13 years of HARPS observations, this study reinterprets a long-period signal in the K-dwarf GJ 1137 as evidence of a 5,870-day magnetic activity cycle rather than a Jovian planet, while confirming the system's multiple-planet nature by identifying a new 9.6-day Super-Earth with a minimum mass of 5.12 Earth masses.
This study demonstrates through numerical simulations that strengthening the Sun's polar magnetic fields significantly alters the background solar wind to create a confining environment that slows the propagation, inhibits the expansion, and delays the arrival of the December 2021 CME at Mars and other spacecraft.
This study presents a Euclid follow-up of a galaxy cluster candidate, revealing an overdense population of blue galaxies and a merging proto-Brightest Cluster Galaxy that illustrates a common multi-object merger formation process, suggesting Euclid will discover approximately 400 such assembling systems by the end of its mission.
This paper demonstrates a method for achieving "super-resolved" localisation of radio transients and pulsars using the Murchison Widefield Array (MWA) by applying amplitude-only maximum likelihood direction finding to tied-array beam data, thereby significantly improving source precision beyond the instrument's native spatial resolution to aid follow-up efforts for the Southern-sky pulsar survey.
This paper presents a computationally efficient model for determining the sensitivity of closed dielectric haloscopes to axion dark matter, which is validated using MADMAX prototype data to establish the foundation for future searches in the 26–500 eV mass range.
This paper presents the first successful application of data fusion to astronomical observations, combining JWST NIRSpec spectroscopy and NIRCam imaging to generate high-resolution hyperspectral cubes of the d203-506 protoplanetary disk and Titan, thereby demonstrating the transformative potential of extracting physical properties with unprecedented spatial detail.
This paper demonstrates that stochastic particle acceleration driven by pressure-anisotropy-induced magnetogenesis in the pre-structure Universe is inefficient for generating a significant cosmic ray population, as adiabatic cooling dominates until the onset of structure formation, limiting proton energies to at most .
This paper introduces a novel physics-informed neural network approach for ground-based solar image reconstruction that simultaneously estimates the atmospheric point spread function and the high-resolution intensity distribution, outperforming state-of-the-art methods in revealing small-scale solar features.
Using the FirstLight simulations and synthetic JWST images, this study reveals that galaxy sizes at cosmic dawn ( to ) evolve rapidly due to increasing galaxy efficiency and complex dust attenuation effects, establishing a diverse size-mass relation early on where compact galaxies exhibit higher specific star-formation rates.
This paper investigates how a two-fluid dynamical dark energy model, which supports sound-wave-like perturbations and allows crossing the phantom divide, induces scale-dependent halo bias comparable to neutrino effects, demonstrating that multi-tracer analyses of galaxy power and bispectra can detect these features and constrain the dark energy sound speed.
This paper introduces a novel two-step deep learning pipeline that utilizes only intensity images to simultaneously and accurately estimate all eight degrees of freedom for misalignment and mode mismatch in optical cavities, achieving high precision without the need for complex interferometric hardware.
This paper presents preliminary results from an ALMA-based study characterizing the physical conditions and chemical evolution of hot molecular cores through the analysis of rotational temperatures, column densities, and molecular abundances of key species, while also comparing observational data with Nautilus chemical simulations.
This work-in-progress study utilizes ALMA archival data to analyze the chemical and physical properties of 37 molecular cores in early evolutionary stages, revealing positive correlations between the abundances of HCN and HNC and regional temperature, while finding no such correlation for HCN.
This paper proposes that including third-order gravitational waves within the scalar-induced gravitational wave framework can enhance the spectral amplitude of the PTA signal, thereby alleviating the theoretical tension of primordial black hole overproduction while maintaining consistency with cosmological constraints and supermassive black hole binary backgrounds.
This study utilizes full-disk IRIS spectroheliograms to compare active regions at different evolutionary stages, revealing that while C II and Si IV lines show no clear variability, Mg II opacity distributions in regions with high FIP bias suggest variable plasma densities that warrant further combined observational and modeling investigation to understand plasma fractionation mechanisms.
This study evaluates three different Extreme ultraviolet Imaging Spectrometer (EIS) line pair diagnostics for measuring the First Ionisation Potential (FIP) bias in the solar atmosphere, demonstrating that while signal-to-noise cutoffs influence the distribution's high-value tail, the median FIP bias remains stable, thereby highlighting the need for a nuanced approach rather than a one-size-fits-all methodology.
This study characterizes the stellar content and star formation activity in the IRAS 18456-0223 region by identifying 89 young stellar objects with masses up to 7.2 solar masses and ages up to 4 Myr, analyzing their clustering properties, variability, and association with cold, dense filaments using multiwavelength data and spectroscopy.
This study employs unsupervised machine learning clustering on multiwavelength data from the GAMA, EMU, and WISE surveys to quantify the fractional contributions of star formation and active galactic nuclei to galaxy energy budgets, ultimately establishing a novel, highly reliable three-dimensional IR-radio diagnostic scheme that moves beyond binary classifications to characterize galaxies as composites of multiple emission processes.