1088 papers
This paper demonstrates a high-efficiency superconducting on-chip filterbank for sub-millimeter integral field units using directional filters, achieving an average peak coupling efficiency of 75% across the 125–220 GHz range.
This study demonstrates that incorporating dropout regularization into an AlexNet-based Convolutional Neural Network significantly enhances the precision and robustness of inferring gravitational lens parameters from simulated China Space Station Telescope images, reducing relative errors by 60–76% compared to models without dropout.
This paper demonstrates that machine learning techniques, particularly gradient-boosting algorithms like XGBoost, can effectively classify and disentangle overlapping populations of stellar remnant binaries in simulated LISA data, achieving high recall rates for double white dwarf and high-mass systems while significantly outperforming statistical methods in identifying challenging neutron star-white dwarf binaries.
This paper presents a search for outbursts in symbiotic binaries using GOTO and ATLAS photometric data, successfully identifying five systems with confirmed or ongoing Z And-type outbursts, including the first reported event in the Large Magellanic Cloud, thereby highlighting the importance of historical photometry for characterizing these poorly understood phenomena.
This paper demonstrates that score-based diffusion models outperform Wasserstein GANs in generating high-fidelity, analysis-ready monoscopic images of both gamma-ray and proton air showers for Imaging Air Cherenkov Telescopes, establishing them as the first viable surrogate models for efficient instrument response generation and optimization.
This study utilizes the high sensitivity of the MeerKAT radio telescope to search for synchrotron emission from Weakly Interacting Massive Particles (WIMPs) in the Reticulum II dwarf spheroidal galaxy, establishing improved constraints on WIMP properties and demonstrating the potential of radio astronomy for dark matter detection.
Using the VLA and HST, researchers discovered and spectrally resolved seven molecular clouds in the high-redshift radio galaxy B2 0902+34, marking the first detection of such structures at the onset of Cosmic Noon and opening new avenues for studying early Universe star formation physics.
This paper utilizes JWST/NIRSpec stacked spectroscopy of 287 high-redshift Ly emitters to reveal that resonant scattering redistributes Ly photons to low-density outskirts where escape is more efficient, while simultaneously uncovering nitrogen-enhanced chemical enrichment and bursty feedback-driven gas flows that link Ly emission to the galaxies' ionizing photon budget.
This paper presents the largest statistical census from the HETDEX survey, bridging the gap between Lyman-alpha halos and blobs at cosmic noon by characterizing the population's properties and revealing that a significant majority of those with radio counterparts are extended sources, with the radio fraction increasing with Lyman-alpha size.
This study demonstrates that velocity dispersion analysis (VDA) often yields inaccurate solar injection times and path lengths for Solar Energetic Particles because the method is significantly biased by interplanetary magnetic turbulence and the energy dependence of the pre-event proton background.
Using magnetohydrodynamic simulations, this study demonstrates that mega-parsec giant radio sources can form in dark matter halos of varying masses ($10^{13}10^{15}$ solar masses) with normal hot baryonic gas fractions, challenging the hypothesis that a low-density environment is a necessary condition for their formation.
Using MIGHTEE survey data across three fields, this study reveals that radio-AGN reside in increasingly massive dark matter haloes at lower redshifts with a duty cycle of 5–9%, suggesting that their enhanced clustering relative to non-active galaxies stems from either AGN feedback suppressing stellar growth or a preference for earlier-forming haloes.
This study demonstrates that angular momentum-driven accretion disks in common envelope systems containing a neutron star and a massive companion facilitate the synthesis of significant rp-process products and alpha-rich elements like Ti and Ni, offering a new mechanism for galactic chemical evolution.
This paper introduces an unbiased Bayesian method for estimating the radial peculiar velocities of galaxies hosting Type Ia supernovae that relies solely on cosmological models and data precision, avoiding the linearity and fixed-cosmology assumptions of standard estimators to achieve lower bias even for large velocities.
Using new ASKAP/WALLABY HI observations, this study discovers a previously missed fourth dwarf galaxy member in the nearby ESO 179-013 system and reveals an extended neutral gas envelope that indicates a more complex interaction history than previously thought.
Using the Green Bank and Parkes radio telescopes, researchers discovered and characterized the first millisecond pulsar, PSR J17162808A, in the globular cluster NGC 6316, confirming its cluster membership through timing analysis despite a lower-than-expected dispersion measure and suggesting that deeper searches could reveal many more pulsars consistent with the cluster's gamma-ray emission.
This paper establishes a tight relation between the baryonic mass and dynamical mass of extragalactic systems across nine orders of magnitude, revealing that the baryon fraction matches the cosmic value in massive clusters but decreases systematically in lower-mass systems according to a specific tanh-based scaling law.
The Galaxy UV Legacy Project (GULP) presents a new Hubble Space Telescope survey of 26 nearby galaxies that, through a detailed case study of NGC 4449, reveals a recent southwestward migration of star formation and demonstrates that intense UV radiation from massive stars destroys the dust grains responsible for the 2175 Å UV-bump.
By integrating kinetic modeling with RHESSI and Solar Orbiter/STIX X-ray observations of three large flares, this study constrains solar flare acceleration properties, revealing that extended turbulent regions covering approximately 25% of the flare loop and acceleration timescales between 7 and 22 seconds are required to match observed data.
This paper introduces PEACOCK, a unified Monte Carlo radiative transfer framework accelerated by deep learning, which analyzes 50 nearby star-forming galaxies to reveal that their multiphase galactic winds are kinematically coherent and driven by macroscopic turbulence rather than purely radial acceleration, while showing distinct kinematic structures between neutral hydrogen and metal ions.