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19932026
most citedObservation of Gravitational Waves from a Binary Black Hole Merger

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cs.FL2026

The Value Generating Power of Weighted Tree Automata with Initial Algebra Semantics

Manfred Droste, Zoltán Fülöp, Andreja Tepavčević +1

We consider the generating power of the initial algebra semantics of weighted tree automata over strong bimonoids (hence also over semirings) and the question under which condition…

astro-ph.GA2026

Radio Properties of Narrow-Line and Broad-Line Seyfert 1 Galaxies

K. É. Gabányi, S. Komossa, A. Mezősi +2

Narrow-line Seyfert 1 (NLS1) galaxies host active galactic nuclei (AGN) with narrow optical emission lines of the broad-line region. This is often explained with a relatively lower…

astro-ph.HE2026

SN 2022erq: A Superluminous Thermonuclear Supernova with Escalating Preexplosion Mass Loss

Qian Zhai, Jujia Zhang, Xiaofeng Wang +51

We present a photometric and spectroscopic study of the superluminous Type Ia supernova SN 2022erq. Its early spectra, dominated by iron-group elements with weak intermediate-mass…

gr-qc2026★ 2 cited

GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1839

GW240925 and GW250207 are two loud gravitational-wave signals from binary black hole coalescences observed with network signal-to-noise ratios and , respectively…

quant-ph2026

Wave packet motion in a quantized electromagnetic field: Analytic results

Szabolcs Hack, Béla Gábor Pusztai, Krisztina Joós +3

We investigate the dynamics of a charged particle interacting with a multimode quantized electromagnetic field and obtain an analytic solution for the full electron--field system.…

cs.CV2026★ 1 cited

Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification

Hiba Adil Al-kharsan, Róbert Rajkó

Brain tumor classification from magnetic resonance imaging, which is also known as MRI, plays a sensitive role in computer-assisted diagnosis systems. In recent years, deep learnin…