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From the 1 of 7 linked papers with an AI index.

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7 papers

physics.gen-ph2026

Multiplicity of Massive Stars at Low Metallicity: Early Results from the BLOeM Campaign

T. Shenar, J. Bodensteiner, M. Abdul-Masih +73

The BLOeM campaign presents the first large‑scale spectroscopic survey of 929 massive stars in the Small Magellanic Cloud, revealing a high intrinsic binary fraction (>70%) among m…

astro-ph.HE2026

JWST observations of SN 2024abup: First Detection of CO in a broad-lined Type Ic Supernova and Constraints on r-process Nucleosynthesis

Manisha Shrestha, Lindsey A. Kwok, David J. Sand +42

SN 2024abup is a nearby broad-lined Type Ic supernova (SN Ic-bl) in NGC 0681 at a distance of 23.3 \pm 1.6 Mpc. As energetic explosions of massive stars, SNe Ic-bl are considered a…

astro-ph.HE2026

Jets from Scratch: Dynamo-Generated Poloidal Magnetic Fields in 3D Collapsar Simulations

Ho-Sang Chan, Ore Gottlieb, Jonatan Jacquemin-Ide +2

The origin of the large-scale poloidal magnetic field required to power relativistic jets in collapsars remains uncertain. While such a field may be inherited during PNS collapse,…

astro-ph.HE2025

Spinning into the Gap: Direct-Horizon Collapse as the Origin of GW231123 from End-to-End GRMHD Simulations

Ore Gottlieb, Brian D. Metzger, Danat Issa +3

GW231123, the most massive binary black hole (BH) merger observed to date, involves component BHs with masses inside the pair-instability mass gap and unusually high spins. This ch…

astro-ph.SR2025

A high fraction of close massive binary stars at low metallicity

H. Sana, T. Shenar, J. Bodensteiner +74

At high metallicity, a majority of massive stars have at least one close stellar companion. The evolution of such binaries is subject to strong interaction processes, heavily impac…

astro-ph.SR2025

Nuclear Neural Networks: Emulating Late Burning Stages in Core Collapse Supernova Progenitors

Aldana Grichener, Mathieu Renzo, Wolfgang E. Kerzendorf +7

One of the main challenges in modeling massive stars to the onset of core collapse is the computational bottleneck of nucleosynthesis during advanced burning stages. The number of…