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

Estimation of intrinsic fast radio burst width and scattering distributions from CRAFT data

Using a sample of 29 high-time-resolution FRBs from the CRAFT survey, this study models the de-biased intrinsic width and scattering distributions in the host rest-frame, finding that log-uniform distributions better describe the data than previous lognormal assumptions and revealing significant detection biases that impact population and cosmological studies.

C. W. James, J. Hoffmann, J. X. Prochaska + 1 more2026-03-06🔭 astro-ph

Lanthanide Impact on the Infra-Red Spectra of Nebular Phase Kilonovae

Using non-LTE radiative transfer simulations, this study demonstrates that lanthanides significantly influence the infrared spectra of nebular phase kilonovae below 4 μm through dominant line opacity from species like Ce III and Nd II, yet their contribution remains insufficient to explain the smooth blackbody-like continua observed in events such as AT2023vfi, suggesting that near-infrared observations are optimal for probing lanthanides while mid-infrared spectroscopy can effectively isolate non-lanthanide emission.

Quentin Pognan, Kyohei Kawaguchi, Shinya Wanajo + 3 more2026-03-06🔭 astro-ph

Large Language Model-driven Analysis of General Coordinates Network (GCN) Circulars

This paper demonstrates how large language models can automate the analysis of NASA's General Coordinates Network (GCN) Circulars by employing neural topic modeling for clustering, contrastive fine-tuning for classification, and retrieval-augmented generation to achieve high-accuracy extraction of gamma-ray burst redshifts, thereby significantly enhancing astronomical text mining capabilities.

Vidushi Sharma, Ronit Agarwala, Judith L. Racusin + 9 more2026-03-06🔭 astro-ph

Repeating Nuclear Transients from Repeating Partial Tidal Disruption Events

This paper utilizes hydrodynamical simulations and analytical models to demonstrate that high-mass, centrally concentrated stars can survive numerous partial tidal disruption events by supermassive black holes, thereby explaining the repeating nuclear transients observed in sources like ASASSN-14ko and AT2020vdq, while low-mass stars are predicted to be destroyed after only a few encounters.

Ananya Bandopadhyay, Eric R. Coughlin, Julia Fancher + 2 more2026-03-06🔭 astro-ph

Could the interaction of jet and SN ejecta be the cause of X-ray knots observed in a radio galaxy?

This paper investigates the interaction between relativistic jets and supernova ejecta as the origin of X-ray knots in radio galaxies, using M 87's knot A to demonstrate that while the ejecta shock fails to match observed spatial scales, the jet shock successfully reproduces the morphology and spectral energy distribution, suggesting a mechanism for accelerating particles to ultra-high energies.

Jia-Chun He, Xiao-Na Sun, Hao-Qiang Zhang + 4 more2026-03-06🔭 astro-ph

Search for continuous gravitational waves from neutron stars in five globular clusters in the first part of the fourth LIGO-Virgo-KAGRA observing run

This paper reports the results of a directed search for continuous gravitational waves from unknown neutron stars in five Milky Way globular clusters using LIGO-Virgo-KAGRA data from the first eight months of the fourth observing run, finding no detections but setting the most sensitive upper limits to date across most of the explored parameter space.

Damon H. T. Cheung, Keith Riles, Rafel Amengual + 14 more2026-03-06🔭 astro-ph

Stochastic Particle Acceleration during Pressure-Anisotropy-Driven Magnetogenesis in the Pre-Structure Universe

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 O(102)GeV\mathcal{O}(10^2)\,\mathrm{GeV}.

Ji-Hoon Ha2026-03-06🔭 astro-ph

Scientific performance of on-board analyses for the SVOM X-ray telescope MXT

This paper reports that one year after launch, the SVOM satellite's on-board Microchannel X-ray Telescope has successfully demonstrated its ability to localize gamma-ray burst afterglows within the required 2 arcminute uncertainty with an average positional accuracy of 40 arcseconds, enabling rapid ground dissemination for multi-wavelength follow-up observations.

F. Robinet, C. Van Hove, M. Moita + 8 more2026-03-06🔭 astro-ph

Resolving the sub-parsec circumnuclear density profiles of quiescent galaxies: Evidence for Bondi accretion flows in tidal disruption event hosts

By analyzing radio observations of 11 tidal disruption event hosts, this study introduces a new methodology that reveals quiescent galaxies possess sub-parsec circumnuclear density profiles consistent with simple Bondi accretion flows, thereby enabling the first direct constraints on gas distributions and accretion rates within the Bondi spheres of previously quiescent supermassive black holes.

Adelle J. Goodwin, Andrew Mummery2026-03-06🔭 astro-ph