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Evidence for longitudinally polarized $W$ bosons in the electroweak production of same-sign $W$ boson pairs in association with two jets in pp collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

ArXiv 2503.11317 (2025)
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CNN-Based Vortex Detection in Atomic 2D Bose Gases in the Presence of a Phononic Background

Machine Learning: Science and Technology IOP Publishing (2025)

Authors:

Magnus Sesodia, Shinichi Sunami, En Chang, Erik Rydow, Christopher Foot, Abel Beregi

Abstract:

<jats:title>Abstract</jats:title> <jats:p>Quantum vortices play a crucial role in both equilibrium and dynamical phenomena in two-dimensional (2D) superfluid systems. Experimental detection of these excitations in 2D ultracold atomic gases typically involves examining density depletions in absorption images, however the presence of a significant phononic background renders the problem challenging, beyond the capability of simple algorithms or the human eye. Here, we utilize a convolutional neural network (CNN) to detect vortices in the presence of strong long- and intermediate-length scale density modulations in finite-temperature 2D Bose gases. We train the model on datasets obtained from ab initio Monte Carlo simulations using the classical-field method for density and phase fluctuations, and Gross-Pitaevskii simulation of realistic expansion dynamics. We use the model to analyze experimental images and benchmark its performance by comparing the results to the matter-wave interferometric detection of vortices, confirming the observed scaling of vortex density across the Berezinskii-Kosterlitz-Thouless (BKT) critical point. The combination of a relevant simulation pipeline with machine-learning methods is a key development towards the comprehensive understanding of complex vortex-phonon dynamics in out-of-equilibrium 2D quantum systems.</jats:p>
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Charged-hadron and identified-hadron ($K^\mathrm{0}_\mathrm{S}$, $Λ$, $Ξ^\mathrm{-}$) yield measurements in photo-nuclear Pb+Pb and $p$+Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV with ATLAS

ArXiv 2503.08181 (2025)
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Search for Higgs boson exotic decays into Lorentz-boosted light bosons in the four-$τ$ final state at $\sqrt{s}=13$ TeV with the ATLAS detector

ArXiv 2503.05463 (2025)
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Software and computing for Run 3 of the ATLAS experiment at the LHC

European Physical Journal C Springer Nature 85:3 (2025) 234

Authors:

G Aad, E Aakvaag, B Abbott, K Abeling, Nj Abicht, Sh Abidi, M Aboelela, A Aboulhorma, H Abramowicz, H Abreu, Y Abulaiti, E Accion Garcia, Bs Acharya, V Acin Portella, A Ackermann, C Acosta Silva, C Adam Bourdarios, L Adamczyk, Sv Addepalli, Mj Addison, J Adelman, A Adiguzel, T Adye, Aa Affolder, Y Afik, Mn Agaras, J Agarwala, A Aggarwal, C Agheorghiesei, A Ahmad, F Ahmadov, Ws Ahmed, S Ahuja, X Ai, G Aielli, A Aikot, M Ait Tamlihat, B Aitbenchikh, M Akbiyik, Tpa Åkesson, Av Akimov, D Akiyama, Nn Akolkar, S Aktas, K Al Khoury, Gl Alberghi, J Albert, P Albicocco, Gl Albouy, S Alderweireldt

Abstract:

<jats:title>Abstract</jats:title> <jats:p>The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management, database infrastructure, and validation. The use of these systems to prepare the data for physics analysis and assess its quality are described, along with the software tools used for data analysis itself. An outlook for the development of these projects towards Run 4 is also provided.</jats:p>
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