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CERN Document Server 7 записей найдено  Поиск длился 1.10 секунд. 
1.
The global electroweak fit in the SM and SMEFT / Fischer, Yannick (Hamburg U.) ; Haller, Johannes (Hamburg U.) ; Hoecker, Andreas (CERN) ; Kogler, Roman (DESY) ; Mönig, Klaus (DESY) ; Stelzer, Jörg (CERN)
We present results from the global electroweak fit to precision measurements of the Standard Model (SM). The fit uses the latest experimental results as well as up-to-date theoretical calculations for observables on the Z pole and the W boson mass, yielding precise SM predictions for the effective weak mixing angle and the masses of the W and Higgs bosons, as well as the top quark. [...]
2024 - 6 p. - Published in : PoS EPS-HEP2023 (2024) 304 Fulltext: PDF;
In : 2023 European Physical Society Conference on High Energy Physics (EPS-HEP2023), Hamburg, Germany, 20 - 25 Aug 2023, pp.304
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2.
Status of the global electroweak fit with Gfitter in the light of new precision measurements / Haller, Johannes (Hamburg U.) ; Hoecker, Andreas (CERN) ; Kogler, Roman (DESY) ; Mönig, Klaus (DESY) ; Stelzer, Jörg (CERN)
We present results from the global electroweak fit to precision measurements in the Standard Model (SM). The fit uses the latest theoretical calculations for observables on the $Z$ pole and the $W$ boson mass, yielding precise SM predictions for the effective weak mixing angle and the masses of the $W$ and Higgs bosons, as well as the top quark. [...]
arXiv:2211.07665.- 2022-11-14 - 6 p. - Published in : PoS: ICHEP2022, pp. 897
Fulltext: document - PDF; 2211.07665 - PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.897
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3.
Update of the global electroweak fit and constraints on two-Higgs-doublet models / Haller, Johannes (Hamburg U.) ; Hoecker, Andreas (CERN) ; Kogler, Roman (Hamburg U.) ; Mönig, Klaus (DESY ; DESY, Zeuthen) ; Peiffer, Thomas (Gottingen U., II. Phys. Inst.) ; Stelzer, Jörg (CERN)
We present an update of the global fit of the Standard Model electroweak sector to latest experimental results. We include new kinematic top quark and $W$ boson mass measurements from the LHC, a $\sin^2\theta^{\ell}_{\mathrm{eff}}$ result from the Tevatron, and a new evaluation of the hadronic contribution to $\alpha(M_Z^2)$. [...]
arXiv:1803.01853.- 2018-08-23 - 33 p. - Published in : Eur. Phys. J. C 78 (2018) 675 Article from SCOAP3: PDF; Fulltext: 10.1140_epjc_s10052-018-6131-3 - PDF; 1803.01853 - PDF;
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4.
The global electroweak fit at NNLO and constraints on new physics / Baak, Max (CERN) ; Cúth, Jakub (Mainz U.) ; Haller, Johannes (Hamburg U.) ; Hoecker, Andreas (CERN) ; Kogler, Roman (Hamburg U.) ; Mönig, K (DESY) ; Peiffer, Thomas (Hamburg U.) ; Schott, Matthias (CERN) ; Stelzer, Jörg (DESY)
We present an update of the global electroweak fit using electroweak next-to-next-to-leading order (NNLO) calculations for all precision observables that enter the fit. The availability of NNLO corrections allows for the first time the inclusion of realistic estimates of theoretical uncertainties due to missing higher order calculations. [...]
SISSA, 2015 - 6 p. - Published in : PoS EPS-HEP2015 (2015) 100 Fulltext: PDF; External link: Published version from PoS
In : European Physical Society Conference on High Energy Physics 2015, Vienna, Austria, 22 - 29 Jul 2015, pp.100
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5.
TMVA : The Toolkit for Multivariate Data Analysis eith ROOT / Höcker, Andreas (CERN) ; Speckmayer, Peter (CERN) ; Stelzer, Jörg (CERN) ; Tegenfeldt, Fredrik (Iowa State Univ.) ; Voss, Helge (Max-Planck Inst. Kernphysik, Heidelberg)
Multivariate classi cation methods based on machine learning techniques have become a fundamental ingredient to most physics analyses. The classi cation techniques themselves have also signi cantly evolved in recent years. [...]
CERN, 2008 Published version from CERN: PDF;
In : PHYSTAT-LHC Workshop on Statistical Issues for LHC Physics, CERN, Geneva, Switzerland, 27 - 29 Jun 2007, pp.184-187 (CERN-2008-001)
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6.
A Measurement of the Pseudoscalar Decay Constant f(D(s)) using Charm-Tagged Events in e+ e- Collisions at the Y(4S) / Stelzer, Jorg
SLAC-R-825. - 2006. - 261 p.
Fulltext from SLAC
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7.
TMVA - Toolkit for Multivariate Data Analysis with ROOTTMVA - Toolkit for Multivariate Data Analysis : Users guide / Hocker, Andreas (CERN) ; Speckmayer, Peter (CERN) ; Stelzer, Jorg (CERN) ; Therhaag, Jan (Bonn U.) ; von Toerne, Eckhard (Bonn U.) ; Voss, Helge (Heidelberg, Max Planck Inst.) ; Backes, Moritz (Geneva U.) ; Carli, Tancredi (CERN) ; Cohen, Or (CERN) ; Christov, Asen (Freiburg U.) et al.
Multivariate machine learning techniques for the classification of data from high-energy physics (HEP) experiments have become standard tools in most HEP analyses. [...]
physics/0703039 ; CERN-OPEN-2007-007. - 2007 - 135.
Proceedings of Science Server - Access to fulltext document - Access to fulltext document - Preprint - Fulltext
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