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CERN Document Server 1,293 elementer funnet  1 - 10nesteslutt  gå til element: Søket tok 0.61 sekunder. 
1.
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network / ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of topologically connected cells (topo-clusters). [...]
arXiv:2412.04370 ; CERN-EP-2024-317. - 2024 - 72.
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2.
An implementation of neural simulation-based inference for parameter estimation in ATLAS / ATLAS Collaboration
Neural simulation-based inference is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. [...]
arXiv:2412.01600 ; CERN-EP-2024-305. - 2024 - 49.
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3.
Measurement of off-shell Higgs boson production in the $H^*\rightarrow ZZ\rightarrow 4\ell$ decay channel using a neural simulation-based inference technique in 13 TeV $pp$ collisions with the ATLAS detector / ATLAS Collaboration
A measurement of off-shell Higgs boson production in the $H^*\to ZZ\to 4\ell$ decay channel is presented. [...]
arXiv:2412.01548 ; CERN-EP-2024-298. - 2024 - 65.
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4.
Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $pp$ collisions with the ATLAS detector / ATLAS Collaboration
A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-3.5 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. [...]
arXiv:2411.16361 ; CERN-EP-2024-261. - 2024 - 37.
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5.
Observation of top-quark pair production in lead-lead collisions at $\sqrt{s_\mathrm{NN}}=5.02$ TeV with the ATLAS detector / ATLAS Collaboration
Top-quark pair production is observed in lead-lead (Pb+Pb) collisions at $\sqrt{s_\mathrm{NN}}=5.02$ TeV at the Large Hadron Collider with the ATLAS detector. [...]
arXiv:2411.10186 ; CERN-EP-2024-282. - 2024 - 31.
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6.
Precision measurement of the $B^{0}$ meson lifetime using $B^{0} \rightarrow J/\psi K^{*0}$ decays with the ATLAS detector / ATLAS Collaboration
A measurement of the $B^{0}$ meson lifetime and related properties using $B^0 \to J/\psi K^{*0}$ decays in data from 13 TeV proton-proton collisions with an integrated luminosity of 140 fb$^{-1}$ recorded by the ATLAS detector at the LHC is presented. [...]
arXiv:2411.09962 ; CERN-EP-2024-279. - 2024 - 39.
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7.
Reconstruction and identification of pairs of collimated $\tau$-leptons decaying hadronically using $\sqrt{s}=13$ TeV $pp$ collision data with the ATLAS detector / ATLAS Collaboration
This paper describes an algorithm for reconstructing and identifying a highly collimated hadronically decaying $\tau$-lepton pair with low transverse momentum. [...]
arXiv:2411.09357 ; CERN-EP-2024-267. - 2024 - 49.
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8.
Search for vector-like leptons coupling to first- and second-generation Standard Model leptons in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector / ATLAS Collaboration
A search for pair production of vector-like leptons coupling to first- and second-generation Standard Model leptons is presented. [...]
arXiv:2411.07143 ; CERN-EP-2024-296. - 2024 - 58.
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9.
Parameter Estimation with Neural Simulation-Based Inference in ATLAS / Coelho Lopes De Sa, Rafael (University of Massachusetts (US)) ; Ghosh, Aishik (University of California Irvine (US)) ; Louppe, Gilles Claude ; Martinez Outschoorn, Verena Ingrid (University of Massachusetts (US)) ; Maury, Arnaud Jean (Université Paris-Saclay (FR)) ; Rousseau, David (Université Paris-Saclay (FR)) ; Sandesara, Jay Ajitbhai (University of Massachusetts (US)) ; Schaffer, R D (Université Paris-Saclay (FR)) ; Whiteson, Daniel (University of California Irvine (US)) /ATLAS Collaboration
Neural Simulation-Based Inference (NSBI) is a powerful class of machine learning (ML)-based methods for statistical inference that naturally handle high dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements at the Large Hadron Collider, where no single observable may be optimal to scan over the entire theoretical phase space under consideration, or where binning data into histograms could result in a loss of sensitivity. [...]
ATL-PHYS-SLIDE-2024-566.- Geneva : CERN, 2024 - 41 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : ML4Jets2024, Paris, Fr, 4 - 8 Nov 2024
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10.
A simplified configuration for common algorithms for ATLAS analysis / Lambert, Joseph Earl (University of Victoria (CA)) ; Krumnack, Nils Erik (Iowa State University (US)) ; Martinez Outschoorn, Verena Ingrid (University of Massachusetts (US)) ; Russell, Heather (University of Victoria (CA)) ; Leight, William Axel (University of Massachusetts (US)) ; Maroun, Matthew Kenneth (University of Massachusetts (US)) /ATLAS Collaboration
In the ATLAS analysis model, users must interact with specialized algorithms to perform a variety of tasks on their physics objects including calibration, identification, and obtaining systematic uncertainties for simulated events. These algorithms have a wide variety of configurations, and often must be applied in specific orders. [...]
ATL-SOFT-SLIDE-2024-543.- Geneva : CERN, 2024 - 1 p. Fulltext: ATL-SOFT-SLIDE-2024-543 - PDF; CHEP_2024_Poster_ATLAS_CP_ALGS_portraitA0 - PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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