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CERN Document Server 5 záznamov nájdených  Hľadanie trvalo 0.54 sekúnd. 
1.
FlavBit: A GAMBIT module for computing flavour observables and likelihoods / Bernlochner, Florian U. (Bonn U.) ; Chrząszcz, Marcin (Cracow, INP ; Zurich U.) ; Dal, Lars A. (Oslo U.) ; Farmer, Ben (Stockholm U. ; Stockholm U., OKC) ; Jackson, Paul (Adelaide U.) ; Kvellestad, Anders (Nordita) ; Mahmoudi, Farvah (CERN ; Lyon Observ.) ; Putze, Antje (Annecy, LAPTH) ; Rogan, Christopher (Harvard U., Phys. Dept.) ; Scott, Pat (Imperial Coll., London) et al. /GAMBIT Flavour Workgroup
Flavour physics observables are excellent probes of new physics up to very high energy scales. Here we present FlavBit, the dedicated flavour physics module of the global-fitting package GAMBIT. [...]
arXiv:1705.07933; NORDITA-2017-077; CERN-TH-2017-167; NORDITA 2017-077; gambit-code-2017.- 2017-11-21 - 24 p. - Published in : Eur. Phys. J. C 77 (2017) 786 Article from SCOAP3: PDF; Fulltext: arXiv:1705.07933 - PDF; 1705.07933 - PDF;
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2.
Global fits of GUT-scale SUSY models with GAMBIT / GAMBIT Collaboration
We present the most comprehensive global fits to date of three supersymmetric models motivated by grand unification: the Constrained Minimal Supersymmetric Standard Model (CMSSM), and its Non-Universal Higgs Mass generalisations NUHM1 and NUHM2. We include likelihoods from a number of direct and indirect dark matter searches, a large collection of electroweak precision and flavour observables, direct searches for supersymmetry at LEP and Runs I and II of the LHC, and constraints from Higgs observables. [...]
arXiv:1705.07935; COEPP-MN-17-9; CERN-TH-2017-168; NORDITA 2017-080; CoEPP-MN-17-9; gambit-physics; gambit-physics-2017.- 2017-12-04 - 50 p. - Published in : Eur. Phys. J. C 77 (2017) 824 Article from SCOAP3: PDF; Fulltext: 1705.07935 - PDF; 10.1140_epjc_s10052-017-5167-0 - PDF; arXiv:1705.07935 - PDF;
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3.
A global fit of the MSSM with GAMBIT / GAMBIT Collaboration
We study the seven-dimensional Minimal Supersymmetric Standard Model (MSSM7) with the new GAMBIT software framework, with all parameters defined at the weak scale. Our analysis significantly extends previous weak-scale, phenomenological MSSM fits, by adding more and newer experimental analyses, improving the accuracy and detail of theoretical predictions, including dominant uncertainties from the Standard Model, the Galactic dark matter halo and the quark content of the nucleon, and employing novel and highly-efficient statistical sampling methods to scan the parameter space. [...]
arXiv:1705.07917; COEPP-MN-17-11; NORDITA-2017-081; CERN-TH-2017-169; CoEPP-MN-17-11; NORDITA 2017-081; gambit-physics; NORDITA 2017-081, gambit-physics-2017.- 2017-12-18 - 30 p. - Published in : Eur. Phys. J. C 77 (2017) 879 Article from SCOAP3: PDF; Fulltext: 1705.07917 - PDF; 10.1140_epjc_s10052-017-5196-8 - PDF; Preprint: PDF;
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4.
GAMBIT: The Global and Modular Beyond-the-Standard-Model Inference Tool / GAMBIT Collaboration
We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables and likelihoods in particle and astroparticle physics with a hierarchical model database, advanced tools for automatically building analyses of essentially any model, a flexible and powerful system for interfacing to external codes, a suite of different statistical methods and parameter scanning algorithms, and a host of other utilities designed to make scans faster, safer and more easily-extendible than in the past. [...]
arXiv:1705.07908; COEPP-MN-17-6; NORDITA-2017-074; DESY-17-236; CERN-TH-2017-166; CoEPP-MN-17-6; NORDITA 2017-074; gambit-code-2017.- 2018-02-02 - 70 p. - Published in : Eur. Phys. J. C Article from SCOAP3: PDF; Fulltext: PDF; Preprint: PDF;
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5.
Status of the scalar singlet dark matter model / GAMBIT Collaboration
One of the simplest viable models for dark matter is an additional neutral scalar, stabilised by a $\mathbb{Z}_2$ symmetry. Using the GAMBIT package and combining results from four independent samplers, we present Bayesian and frequentist global fits of this model. [...]
arXiv:1705.07931; COEPP-MN-17-10; CERN-TH-2017-170; NORDITA 2017-079; CoEPP-MN-17-10; gambit-physics; gambit-physics-2017.- 2017-08-23 - 17 p. - Published in : Eur. Phys. J. C 77 (2017) 568 Article from SCOAP3: PDF; Fulltext: 1705.07931 - PDF; 10.1140_epjc_s10052-017-5113-1 - PDF; Preprint: PDF;
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