output
20022026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2025Show all

59 papers · 1 filter

math.CO2025

Properties of plactic monoid centralizers

Bruce E. Sagan, Chenchen Zhao

Let u be a word over the positive integers P. Motivated by a question involving crystal graphs, Sagan and Wilson initiated the study of the centralizer of u in the plactic monoid w…

astro-ph.SR2025

Citizen CATE 2024: Extending Totality During the 8 April 2024 Total Solar Eclipse with a Distributed Network of Community Participants

Sarah A. Kovac, Amir Caspi, Daniel B. Seaton +240

The Citizen CATE 2024 next-generation experiment placed 43 identical telescope and camera setups along the path of totality during the total solar eclipse (TSE) on 8 April 2024 to…

astro-ph.HE20251 cited

Classification of a New X-ray Catalog of Likely Counterparts to 4FGL-DR4 Unassociated Gamma-ray Sources Using a Neural Network

Kyle D. Neumann, Abraham D. Falcone, Stephen DiKerby +5

Our survey of the fourth Large Area Telescope catalog (4FGL) unassociated gamma-ray source regions using the X-Ray Telescope (XRT) and Ultraviolet/Optical Telescop…

hep-ex202510 cited

Search for Light Sterile Neutrinos With Two Neutrino Beams at MicroBooNE

MicroBooNE collaboration, P. Abratenko, D. Andrade Aldana +176

The existence of three distinct neutrino flavours, , , and , is a central tenet of the Standard Model of particle physics. Quantum-mechanical interference can allo…

astro-ph.HE20251 cited

Optical Study of TRAPUM Pulsars and Modelling of the Redbacks: PSR J10364353 and PSR J18036707

A. Phosrisom, R. P. Breton, C. J. Clark +12

The Transients and Pulsars with MeerKAT (TRAPUM) project discovered eight binary millisecond pulsars in its first shallow \textit{L}-band survey of unidentified \textit{Fermi} -…

cs.CV2025

SPOOF: Simple Pixel Operations for Out-of-Distribution Fooling

Ankit Gupta, Christoph Adami, Emily Dolson

Deep neural networks (DNNs) excel across image recognition tasks, yet continue to exhibit overconfidence on inputs that bear no resemblance to natural images. Revisiting the "fooli…