Discovery and Timing of the First Millisecond Pulsar in NGC 6316

Using the Green Bank and Parkes radio telescopes, researchers discovered and characterized the first millisecond pulsar, PSR J1716-2808A, 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.

Deven Bhakta, Scott M. Ransom, Megan DeCesar, Shi Dai2026-03-09🔭 astro-ph

The Baryonic Mass-Halo Mass Relation of Extragalactic Systems

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.

Stacy McGaugh, Tobias Mistele, Francis Duey, Konstantin Haubner, Federico Lelli, Jim Schombert, Pengfei Li2026-03-09🔭 astro-ph

Galaxy UV Legacy Project: Survey Description and First Insights Into NGC 4449 Recent History of Star Formation

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.

E. Sabbi, B. Meena, P. Zeidler, V. Bajaj, D. Calzetti, J. J. Eldridge, P. Facchini, S. Linden, P. A. Crowther, A. Adamo, L. Bianchi, M. Cignoni, B. G. Elmegreen, D. M. Elmegreen, J. S. Gallagher III, M. Gennaro, E. K. Grebel, R. S. Klessen, A. Pasquali, L. J. Smith, A. Wofford2026-03-09🔭 astro-ph

Constraining turbulent solar flare acceleration regions by connecting kinetic modeling and X-ray observations

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.

Morgan Stores, Natasha Jeffrey, Ewan Dickson, James McLaughlin, Eduard Kontar2026-03-09🔭 astro-ph

Kinematically Coherent Multiphase Galactic Winds in Star-Forming Galaxies Revealed by Unified Radiative Transfer Modeling of UV Emission and Absorption Lines

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.

Zhihui Li, Timothy Heckman, Max Gronke, Xinfeng Xu, Alaina Henry, Evan Schneider, Matthew Abruzzo, Danielle Berg, Bethan James, Crystal Martin, John Chisholm2026-03-09🔭 astro-ph

Data-Driven Trends and Subpopulations in the Gravitational Wave Binary Black Hole Merger Population with UMAP

This paper introduces the first application of the Uniform Manifold Approximation and Projection (UMAP) algorithm to the GWTC-3 binary black hole catalog, demonstrating that this model-independent, non-parametric technique effectively identifies distinct astrophysical subpopulations and formation pathways based on mass and spin characteristics.

A. J. Amsellem, I. Magaña Hernandez, A. Palmese, J. Gassert2026-03-09🔭 astro-ph

The Prevalence of Turbulence-Regulated Multiphase Galactic Winds in Star-Forming Galaxies

By applying the PEACOCK multi-ion radiative transfer framework to 50 nearby star-forming galaxies, this study reveals that turbulence often dominates the kinetic energy budget of galactic winds and strengthens the coupling between stellar feedback and the circumgalactic medium, supporting a turbulence-regulated picture of multiphase outflows.

Zhihui Li, Timothy Heckman, Max Gronke, Xinfeng Xu, Alaina Henry, Evan Schneider, Matthew Abruzzo, Danielle Berg, Bethan James, Crystal Martin, John Chisholm2026-03-09🔭 astro-ph

The size and shape dependence of the SDSS galaxy bispectrum

This paper presents a measurement of the SDSS galaxy bispectrum across various triangle sizes and shapes, finding it well-described by a power law that is accurately modeled by Λ\LambdaCDM N-body simulations with a bias of 1.2, while revealing that red galaxies exhibit significantly higher bispectrum amplitudes than blue galaxies due to their stronger clustering and non-linear evolutionary interactions.

Anindita Nandi, Sukhdeep Singh Gill, Debanjan Sarkar + 3 more2026-03-06🔭 astro-ph

HI Intensity Mapping cross-correlation with thermal SZ fluctuations: forecasted cosmological parameters estimation for FAST and Planck

This paper forecasts that cross-correlating thermal Sunyaev-Zel'dovich fluctuations from the Planck satellite with 21 cm intensity mapping data from the FAST telescope will significantly constrain the cosmic neutral hydrogen density, hydrostatic mass bias, and universal pressure profile parameters, thereby probing the distribution of neutral hydrogen within low-redshift galaxy clusters.

Ayodeji Ibitoye, Furen Deng, Yichao Li + 2 more2026-03-06🔭 astro-ph

Discovery of a 0.8-mHz quasi-periodic oscillation in the transient X-ray pulsar SXP31.0 and associated timing transitions

This study presents the first broadband spectral and timing analysis of the Be/X-ray pulsar SXP31.0 during its 2025 giant outburst, revealing a transient 0.8-mHz quasi-periodic oscillation at super-Eddington luminosities that coincides with low soft X-ray pulsed fractions and disappears alongside subsequent timing transitions.

Alexander Salganik, Sergey S. Tsygankov, Sergey V. Molkov + 5 more2026-03-06🔭 astro-ph

Identification of Strongly Lensed Gravitational Wave Events Using Squeeze-and-Excitation Multilayer Perceptron Data-efficient Image Transformer

This paper proposes SEMD, a deep learning model based on Vision Transformers that integrates Squeeze-and-Excitation mechanisms and multilayer perceptrons to efficiently and robustly identify strongly lensed gravitational wave events by analyzing morphological similarities in time-frequency spectrograms, thereby overcoming the computational limitations of traditional Bayesian inference methods.

Dejiang Li, Tonghua Liu, Ao Liu + 4 more2026-03-06🔭 astro-ph

A Multimessenger Search for the Supermassive Black Hole Binary in 3C 66B with the Parkes Pulsar Timing Array

Using the Parkes Pulsar Timing Array's third data release, this study fails to confirm the supermassive black hole binary candidate in 3C 66B, instead establishing upper limits that partially rule out electromagnetic parameter estimates while proposing a new joint likelihood framework for multimessenger analysis and standard siren applications.

Jacob Cardinal Tremblay, Boris Goncharov, Rutger van Haasteren + 15 more2026-03-06🔭 astro-ph

Investigating the Gamma-Ray Emission from Explosive Dispersal Outflows with Fermi-LAT

This study presents the first systematic analysis of explosive dispersal outflows (EDOs) using 16 years of Fermi-LAT data, revealing that three of seven observed systems, particularly the bright source DR21, emit GeV gamma rays with cosmic-ray acceleration efficiencies consistent with shocks in dense molecular environments, suggesting EDOs may contribute to the Galactic cosmic-ray budget.

Paarmita Pandey, Stephen C. Lenker, Laura A. Lopez + 6 more2026-03-06🔭 astro-ph

Scientific Objectives of the Xue-shan-mu-chang 15-meter Submillimeter Telescope

The paper outlines the scientific objectives of the upcoming XSMT-15m, a world-class 15-meter submillimeter telescope to be built in Qinghai, China, which aims to revolutionize understanding of galaxy evolution, interstellar medium processes, and transient phenomena through its high-altitude capabilities and advanced instrumentation.

XSMT Project Collaboration Group, Yiping Ao, Jin Chang + 48 more2026-03-06🔭 astro-ph

Towards a foundation model for astrophysical source detection: An End-to-End Gamma-Ray Data Analysis Pipeline Using Deep Learning

This paper presents an end-to-end deep learning pipeline that extends the AutoSourceID method to Cherenkov Telescope Array Observatory (CTAO) simulated data, offering a versatile framework for the detection, localization, and characterization of gamma-ray sources as a step toward a foundational model for astrophysical source detection.

Judit Pérez-Romero, Saptashwa Bhattacharyya, Sascha Caron + 9 more2026-03-06🔭 astro-ph