A new redshift-correlation technique with third-generation GW detectors can constrain the BNS contribution to cosmic r-process nucleosynthesis to 5-6% precision via Fisher forecasts on mock bright- and dark-siren data.
Mixed citations
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Mixed citation behavior. Most common role is background (43%).
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representative citing papers
Calypso is a parameter-conditioned stochastic surrogate model for circumbinary accretion flows using PCA and multivariate Gaussian modeling, released as open-source software with a closed-form likelihood for parameter inference from time series.
Releases first open high-fidelity CFD dataset of 1800 samples from 180 variants of NASA high-lift CRM at 10 angles of attack using GPU-accelerated wall-modeled LES.
The Double Folding Test of Unimodality resolves systematic failures of the original FTU on Dirac and Gaussian mixtures and enhances multimodality detection.
A new three-point inverse solution using the α-β model reconstructs meteoroid masses and bulk densities from limited fireball observations, achieving 88% convergence on the EN catalog and producing a continuous density range of 300-4000 kg m^{-3} instead of discrete PE categories.
The global empirical NTK for finite-width networks has a universal Kronecker-core form that makes it structurally low-rank and biases gradient descent toward dominant modes of joint input-hidden activity.
Spectroscopic members of the M92 stream yield a Milky Way bar pattern speed of 29.1 +0.7/-0.4 km s^{-1} kpc^{-1}.
A myopic MINMPC framework learns a value function offline via inverse optimization from expert data, allowing short horizons with near-optimal performance and strict integer feasibility online for hybrid systems.
ACT blocks enable neural operators to learn adaptive coordinate systems via differentiable sampling, yielding consistent accuracy gains on PDE benchmarks by reducing spatial misalignment and operator complexity.
Detection of helium lines in Balmer-dominated shocks of Type Ia SNRs reveals enhanced helium in some remnants and challenges shock models, enabling new constraints on progenitor environments.
A new global corpus of dense Sentinel-1 SAR time series for 15,606 offshore wind infrastructure locations is released with baseline semantic labels and an expert benchmark, enabling analyses of deployment dynamics.
Scout-Assisted Planning uses UAV scouts and a GNN to predict information gain for pruning actions, cutting UGV travel costs by 31.9-37.7% versus the Canadian Traveler Problem baseline in partially known environments.
Simulations using the STARFIRE-2 model indicate that the global redshifted 21-cm signal from the cosmic dawn is detectable from a low-Earth near-polar orbit with a thermal noise limited radiometer.
Low-mass Paβ emitters in the Spiderweb protocluster show enhanced star formation rates compared to field galaxies, with no significant deviation at higher masses.
In the high-dimensional proportional regime, a large gradient step on a two-layer network induces a target-dependent spiked Gaussian covariance on the features, yielding a data-adaptive kernel that amplifies target-aligned eigenvalues and mixes leading eigenfunctions.
Host galaxy potentials alone produce complex morphological features in most stellar streams, with pericentric distance as the strongest predictor of smoothness.
A reweighting method with mean energy-gap approximation transfers PMFs between MLIPs to recover target reaction and activation free energies at low cost for a 601-atom Li+ transport system across DFT levels.
Bifurcations cause sNTK to reduce to a dominant rank-one channel matching normal forms, collapsing effective rank and funneling gradient descent into critical dynamical directions.
A facet-resolved adsorption energy distribution method with ML force fields identifies active and methanol-selective alloy nanocatalyst surfaces for CO2 hydrogenation.
A new GPU clipping algorithm with directional culling and hierarchical traversal constructs scalable 3D Voronoi and power diagrams for arbitrary point distributions.
TRAPPIST-1 flares follow a single power law N(≥E_TESS) ∝ E_TESS^{-0.753} from 10^{29} to 10^{33} erg after sensitivity corrections and bandpass conversion.
Concept Separation Curves provide a classifier-independent method to visualize and quantify how sentence embeddings distinguish conceptual meaning from syntactic variations across languages and domains.
ParamBoost improves GAMs by fitting piecewise cubic polynomials via gradient boosting and supports constraints for continuity, monotonicity, convexity, and feature interactions.
ETW uses predictive entropy as a proxy for token informativeness to improve selective unlearning in LLMs, achieving better forgetting with less utility loss than prior token-level methods.
citing papers explorer
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Inferring the role of binary neutron star mergers in r-process nucleosynthesis with multi-messenger observations using Cosmic Explorer and Einstein Telescope
A new redshift-correlation technique with third-generation GW detectors can constrain the BNS contribution to cosmic r-process nucleosynthesis to 5-6% precision via Fisher forecasts on mock bright- and dark-siren data.
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\texttt{calypso}: a Parameter-Conditioned Stochastic Surrogate Model for Circumbinary Accretion Time-Series
Calypso is a parameter-conditioned stochastic surrogate model for circumbinary accretion flows using PCA and multivariate Gaussian modeling, released as open-source software with a closed-form likelihood for parameter inference from time series.
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HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics
Releases first open high-fidelity CFD dataset of 1800 samples from 180 variants of NASA high-lift CRM at 10 angles of attack using GPU-accelerated wall-modeled LES.
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A Note on the Folding Test of Unimodality: limitation and improved alternative
The Double Folding Test of Unimodality resolves systematic failures of the original FTU on Dirac and Gaussian mixtures and enhances multimodality detection.
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Consistency between dynamical modeling and photometrically derived masses of fireballs
A new three-point inverse solution using the α-β model reconstructs meteoroid masses and bulk densities from limited fireball observations, achieving 88% convergence on the EN catalog and producing a continuous density range of 300-4000 kg m^{-3} instead of discrete PE categories.
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The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
The global empirical NTK for finite-width networks has a universal Kronecker-core form that makes it structurally low-rank and biases gradient descent toward dominant modes of joint input-hidden activity.
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Constraining the Galactic bar using the M92 stellar stream
Spectroscopic members of the M92 stream yield a Milky Way bar pattern speed of 29.1 +0.7/-0.4 km s^{-1} kpc^{-1}.
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Learning myopic mixed-integer nonlinear model predictive control from expert demonstrations
A myopic MINMPC framework learns a value function offline via inverse optimization from expert data, allowing short horizons with near-optimal performance and strict integer feasibility online for hybrid systems.
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Adaptive Coordinate Transforms for Neural Operators
ACT blocks enable neural operators to learn adaptive coordinate systems via differentiable sampling, yielding consistent accuracy gains on PDE benchmarks by reducing spatial misalignment and operator complexity.
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Helium emission from Balmer-dominated shocks in Type Ia supernova remnants provides constraints to their progenitor systems
Detection of helium lines in Balmer-dominated shocks of Type Ia SNRs reveals enhanced helium in some remnants and challenges shock models, enabling new constraints on progenitor environments.
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Global Offshore Wind Infrastructure: Deployment and Operational Dynamics from Dense Sentinel-1 Time Series
A new global corpus of dense Sentinel-1 SAR time series for 15,606 offshore wind infrastructure locations is released with baseline semantic labels and an expert benchmark, enabling analyses of deployment dynamics.
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Scout-Assisted Planning for Heterogeneous Robot Teams under Partially Known Environments
Scout-Assisted Planning uses UAV scouts and a GNN to predict information gain for pruning actions, cutting UGV travel costs by 31.9-37.7% versus the Canadian Traveler Problem baseline in partially known environments.
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STARFIRE-2: Can we detect the global redshifted 21-cm signal from the cosmic dawn in Earth orbit?
Simulations using the STARFIRE-2 model indicate that the global redshifted 21-cm signal from the cosmic dawn is detectable from a low-Earth near-polar orbit with a thermal noise limited radiometer.
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Spider-Webb: enhanced star formation in low-mass galaxies within the Spiderweb protocluster revealed by JWST Pa$\beta$ narrow-band imaging
Low-mass Paβ emitters in the Spiderweb protocluster show enhanced star formation rates compared to field galaxies, with no significant deviation at higher masses.
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How does feature learning reshape the function space?
In the high-dimensional proportional regime, a large gradient step on a two-layer network induces a target-dependent spiked Gaussian covariance on the features, yielding a data-adaptive kernel that amplifies target-aligned eigenvalues and mixes leading eigenfunctions.
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No Stream Left Unscathed: The imprint of a host galaxy
Host galaxy potentials alone produce complex morphological features in most stellar streams, with pericentric distance as the strongest predictor of smoothness.
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Reweighting free energy profiles between universal machine learning interatomic potentials for fast consensus building
A reweighting method with mean energy-gap approximation transfers PMFs between MLIPs to recover target reaction and activation free energies at low cost for a 601-atom Li+ transport system across DFT levels.
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State-Space NTK Collapse Near Bifurcations
Bifurcations cause sNTK to reduce to a dominant rank-one channel matching normal forms, collapsing effective rank and funneling gradient descent into critical dynamical directions.
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Selectivity- and Activity-Aware Catalyst Descriptors for CO$_2$ Hydrogenation on Alloy Nanocatalysts using Machine-Learned Force Fields
A facet-resolved adsorption energy distribution method with ML force fields identifies active and methanol-selective alloy nanocatalyst surfaces for CO2 hydrogenation.
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Scalable GPU Construction of 3D Voronoi and Power Diagrams
A new GPU clipping algorithm with directional culling and hierarchical traversal constructs scalable 3D Voronoi and power diagrams for arbitrary point distributions.
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A single power law for the TRAPPIST-1 flare distribution across four orders of magnitude in energy
TRAPPIST-1 flares follow a single power law N(≥E_TESS) ∝ E_TESS^{-0.753} from 10^{29} to 10^{33} erg after sensitivity corrections and bandpass conversion.
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Finding Meaning in Embeddings: Concept Separation Curves
Concept Separation Curves provide a classifier-independent method to visualize and quantify how sentence embeddings distinguish conceptual meaning from syntactic variations across languages and domains.
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ParamBoost: Gradient Boosted Piecewise Cubic Polynomials
ParamBoost improves GAMs by fitting piecewise cubic polynomials via gradient boosting and supports constraints for continuity, monotonicity, convexity, and feature interactions.
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Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
ETW uses predictive entropy as a proxy for token informativeness to improve selective unlearning in LLMs, achieving better forgetting with less utility loss than prior token-level methods.
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Quasi-periodic pulsations and three-dimensional magnetic reconnection during 2022 March 31 flare observed by IRIS & STIX
In the 2022 March 31 solar flare, hard X-ray QPPs correlate with UV pulsations in stationary ribbon regions tied to a specific loop system in a large-scale 3D reconnection structure, while slipping kernels experience weaker non-thermal energization.
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Accelerating an ensemble of variational data assimilations with randomized preconditioning
EDA-specific RHS differences used as sketching matrix for randomized Hessian preconditioner accelerate linear solves across the ensemble in Lorenz-96 experiments.
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Gaia Exoplanet Orbits, Demographics, and Evolution Survey (GEODES): Characteristics of Three Long-Period Companions Accelerating their Host Stars
Three accelerating stars yield one stellar companion at 166 AU, one 45 Jupiter-mass object at ~18 AU, and one 9.5 Jupiter-mass object at 6.4 AU that is 65% likely to be a planet.
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Scattered light signatures of flyby-induced warps in protoplanetary discs
Flyby-induced warps create broad, time-varying shadows in scattered light that persist for most of a low-viscosity disc lifetime and could be used to constrain disc viscosity.
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Connecting CGM enrichment with Lyman alpha emitters at 2.9 < z < 6.7
Blind MUSE search detects 156 LAEs at 2.9<z<6.7 with 34 C IV and 14 Mg II absorber associations, indicating low-mass galaxies enrich the CGM.
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Bulgeless Evolution And the Rise of Discs (BEARD) III. A numerical simulation view of satellites around Milky-Way analogues
Simulation comparison finds bulgeless galaxies host more centrally concentrated, disc-aligned satellites with steeper faint-end luminosity functions than bulge-dominated controls, reflecting co-evolution and quieter merger histories.
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Pulse profile modelling of the 2024 outburst of the accreting millisecond pulsar SRGA J144459.2-604207
Joint NICER+IXPE pulse-profile modeling of SRGA J144459.2-604207 favors large neutron-star mass and radius with two independent hotspots but shows strong sensitivity to joint-analysis methodology.
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Designing single-layer PDMS devices for micron to millimeter-scale deformations
Numerical exploration of 14336 single-layer PDMS variants identifies PDMS height, channel width and air-chamber width as the dominant controls on ceiling deformation modes, experimentally confirmed across micron-to-millimeter scales for valve and lens applications.
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On the quenching of LRD X-ray emission by both Compton-thick gas and high accretion rates
LRDs require Compton-thick gas at moderate metallicity plus high accretion rates producing weak X-rays to explain their non-detection, implying they are not chemically pristine.
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Optical Design of OPTICAM-ARG: A Three-Channel High-Time-Resolution Camera for the Jorge Sahade Telescope
OPTICAM-ARG is a three-channel optical camera design for the Jorge Sahade Telescope that delivers simultaneous blue-green-red imaging over an 8.4 arcmin field of view per channel with aberration mitigation via dichroic wedges.
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Simulating Star Formation and Star Cluster Assembly in the Aquila Rift Using Archival Observations
Simulations of the Aquila Rift show uneven clumps accreting gas and merging along filaments to form a fractal cluster whose velocity anisotropies, rotation, and expansion record the assembly history even after gas removal.
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A preliminary exploration of the effects of baseline length for the LIFE space mission
LIFE mission simulations show that baselines of 25-80 m or even discrete values can achieve planet yield and fringe tracking with less than 10% performance loss compared to wider ranges.
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Toward Reliable Spectroscopic Analysis of Reaction Kinetics in Polaritonic Chemistry
Cavity thickness changes distort single-wavelength UV/Vis kinetic data in polaritonic chemistry, mitigable by spectral smoothing, and asymptotic extinction must be fitted rather than fixed.
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Adaptive Consensus in LLM Ensembles via Sequential Evidence Accumulation: Automatic Budget Identification and Calibrated Commit Signals
DASE is an adaptive stopping rule for LLM ensembles that creates large accuracy gaps between early-commit and fallback answers on GPQA and AIME benchmarks.
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Towards Interpretable Damage Detection based on Aerodynamic Pressure Measurements
Aerodynamic pressure signals enable real-time, interpretable detection and severity classification of structural damage in elastic beam-like structures via CNN enhanced with physics insights and XAI.
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Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS$^{2}$ inversion results using a visual transformer model
A visual transformer model trained on IRIS inversions predicts chromospheric temperature and density from SDO data with correlations around 0.8 on 80% of test cases.
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Gaia21bja: pre-main sequence star with quasi-periodic bursts
Gaia21bja is identified as a pre-main sequence star with quasi-periodic bursts, showing spectral features and a 5.5-6 times higher accretion rate during outbursts that place it in the periodic category of outbursting YSOs.
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Guitar Nebula: extreme accelerator in extreme environment
The Guitar Nebula requires extreme acceleration with η_acc ≳ 3/4 and traverses a dense low-ionization shell from an old supernova remnant in the pressure-driven snowplow regime.
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Self-consistent dynamical modelling of the Milky Way bar with orbital frequency analysis
An updated orbital frequency method shows multiple Milky Way bar lengths and pattern speeds are consistent with star data within 5 percent.
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Spectroscopic Bolometric Corrections and Empirical Zero-point Constants of \textit{Gaia} Magnitudes, $G$, $G_{\rm BP}$, and $G_{\rm RP}$, from \textit{Gaia} XP Spectra
Empirical zero-point constants for Gaia bolometric corrections are derived as weighted averages 0.8677, 1.0449, and 2.0510 mag for G, GBP, and GRP from 88 stars, yielding corresponding magnitude zero-points via IAU definitions.
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Probing the kinematics of FU Orionis objects through high-resolution near-infrared spectroscopy
High-resolution NIR spectra of 15 FUors reveal double-peaked Keplerian profiles in five K-band targets that fit disk models, J-K band correlations without clear wavelength linewidth trends, and M-band CO lines of distinct origin likely due to blending or winds.
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MuDirac 1.3.0: A Sustainable Software Tool for Calculating Ground State Nuclear Properties Using Muonic X-Ray Measurements
MuDirac 1.3.0 supplies an open, efficient tool for extracting nuclear charge radii from muonic X-ray data via a standard two-parameter Fermi model.
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From Gaia to GaiaNIR: I. Probing dark matter halos in globular clusters
GaiaNIR retains sensitivity to extended dark matter halos in globular clusters under strong extinction while Gaia degrades, enabling studies in obscured regions.
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Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses
Smokescreen is a Python package that blinds cosmological data vectors using Firecrown likelihoods on SACC files while encrypting the true data to avoid premature unblinding.
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cloelike: A Python Library for Cosmological Likelihood Inference in the Euclid Era
cloelike is a new open Python package implementing composable Gaussian likelihoods for WL, GCph, GGL, full-shape spectra, and BAO in joint probe combinations for Euclid analyses.
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cloelib: A Flexible Python Library for Computing Cosmological Observables in the Euclid Era
cloelib is a modular JAX-based Python library for cosmological observables intended as reference infrastructure for Euclid's first data release.