161 papers
This review outlines the fundamental theory and numerical methods for modeling the coupled magnetic and thermal evolution of isolated neutron stars, providing benchmark tests and discussing recent advancements from axisymmetric to fully three-dimensional simulations to explain their diverse observational properties.
This paper presents a systematic transit survey of 121 newly accessible mid-to-late M-dwarfs using TESS Cycle 6+ data, which identified 20 transit-like signals across 16 systems and established a robust reliability framework to prioritize two high-confidence candidates for radial velocity follow-up while flagging others for further observation.
This paper presents a project establishing thirty-two faint, all-sky DA white dwarfs as spectrophotometric standard stars with sub-percent uncertainties by validating fully radiative pure hydrogen models against observations, thereby providing an unprecedented ensemble of standards for large telescopes and surveys that complements the existing CALSPEC scale.
This paper provides a comprehensive analytical study of gravitational-wave signal localization by pulsar timing arrays, deriving expressions for sky localization precision that reveal how the interplay between pulsar-source angular proximity and distance measurement accuracy determines whether improvements stem from tighter distance constraints or the strategic addition of nearby pulsars.
This paper presents the public release of OpenGadget3, a cosmological hydrodynamical N-body code featuring a robust implementation of self-interacting dark matter that supports various elastic scattering cross-sections and two-species models, validated through accuracy tests and performance scaling.
This paper evaluates the spectral method-based Dedalus3 software for exoplanet atmospheric dynamics by testing it on a jet instability scenario, simulating Jupiter's zonal jets, and comparing hot-Jupiter flows, ultimately concluding that while it is a useful tool, careful problem-specific testing and execution are essential.
The CHRONOS paper proposes a next-generation cryogenic ground-based gravitational-wave observatory utilizing quantum non-demolition speed-meter technology to bridge the sub-Hz frequency gap, thereby enabling unprecedented long-duration tracking of compact binaries and precise constraints on the stochastic gravitational-wave background to advance astrophysics and cosmology.
This paper introduces the first Mock Data Challenge for the Einstein Telescope, detailing a simulated dataset of compact binary coalescences and Gaussian noise designed to test analysis pipelines, while providing a tutorial to facilitate community preparation for the observatory's future operations.
This paper reports the successful development and testing of a large-area, optical-readout Time Projection Chamber that achieves high-precision directional imaging of low-energy electron recoils (10–60 keV), demonstrating its potential to extend X-ray polarimetry to higher energies for studying rapid astrophysical transients.
The paper introduces , a differentiable, JAX-based framework that utilizes neural network emulators to accelerate one-loop EFTofLSS galaxy power spectrum calculations by 3–4 orders of magnitude while maintaining high accuracy, thereby enabling rapid and efficient cosmological inference for upcoming large-scale structure surveys.
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 paper introduces \emph{tdanalysis}, a fully time-domain framework for gravitational-wave inference that leverages structured linear algebra and GPU acceleration to overcome the limitations of traditional frequency-domain methods while efficiently handling data gaps and sharp boundaries.
This paper introduces "Black Hole Vision," an open-source iOS application that utilizes Schwarzschild and Kerr black hole lensing equations to synthesize real-time, gravitationally lensed views of a user's surroundings, thereby visualizing the horizon-scale features expected from the proposed Black Hole Explorer (BHEX) mission.
This paper introduces a novel search framework for precessing binary black hole systems in LIGO-Virgo-KAGRA data that utilizes mode-by-mode filtering, machine learning-based template reduction, and marginalization over harmonic signal-to-noise ratios to overcome the computational and statistical challenges of spin precession, ultimately increasing the sensitive search volume by approximately 10%.
This paper demonstrates that pretraining tokenizers with an autoencoding objective before training dynamics models significantly enhances the computational efficiency and accuracy of physics foundation models, particularly when the pretraining data aligns with the downstream physical system.
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 paper proposes and validates an autonomous star-based navigation method for deep-space missions up to 250 AU that utilizes stellar parallactic shifts to achieve sub-AU position accuracy, thereby reducing reliance on Earth-based radiometric tracking.
This paper introduces SwinYNet, a transformer-based multi-task model that achieves highly accurate and efficient Fast Radio Burst detection, segmentation, and parameter estimation directly from time-frequency data without de-dispersion, demonstrating superior performance over existing tools and enabling real-time, large-scale radio surveys on consumer-grade hardware.
This paper presents a case study of the Astronomical Society of Australia's 2025 Annual Scientific Meeting, detailing the low-cost, hybrid organizational strategies, technical setups, and operational procedures employed to successfully integrate online and in-person attendance while sharing key lessons for future conference organizers.
The paper introduces SuperSNEC, an accelerated version of the SuperNova Explosion Code that utilizes adaptive gridding and solver optimizations to generate accurate supernova light curves for large model grids in under two seconds per model, achieving high fidelity with low-resolution simulations and successfully reproducing observed events like SN 2020oi without requiring additional power sources.