CERN Accelerating science

CERN Document Server Намерени са 3 записа  Търсенето отне 0.59 секунди. 
1.
Collider constraints on electroweakinos in the presence of a light gravitino / GAMBIT Collaboration
Using the GAMBIT global fitting framework, we constrain the MSSM with an eV-scale gravitino as the lightest supersymmetric particle, and the six electroweakinos (neutralinos and charginos) as the only other light new states. We combine 15 ATLAS and 12 CMS searches at 13 TeV, along with a large collection of ATLAS and CMS measurements of Standard Model signatures. [...]
arXiv:2303.09082; TTP23-009; KCL-PH-TH/2023-21; gambit-physics-23; MCnet-23-05, ADP-23-08/T1217; CERN-TH-2023-043.- 2023-06-10 - 38 p. - Published in : Eur. Phys. J. C 83 (2023) 493 Fulltext: document - PDF; 2303.09082 - PDF;
2.
Thermal WIMPs and the Scale of New Physics: Global Fits of Dirac Dark Matter Effective Field Theories / GAMBIT Collaboration
We assess the status of a wide class of WIMP dark matter (DM) models in light of the latest experimental results using the global fitting framework $\textsf{GAMBIT}$. We perform a global analysis of effective field theory (EFT) operators describing the interactions between a gauge-singlet Dirac fermion and the Standard Model quarks, the gluons and the photon. [...]
arXiv:2106.02056; ADP-21-9/T1156; CERN-TH-2021-084; CP3-21-15; P3H-21-038; TTK-21-19, gambit-physics-21; TTK-21-19, gambit-physics-2021.- 2021-11-11 - 37 p. - Published in : Eur. Phys. J. C 81 (2021) 992 Fulltext: 2106.02056 - PDF; document - PDF;
3.
Simple and statistically sound recommendations for analysing physical theories / AbdusSalam, Shehu S. (Shahid Beheshti U.) ; Agocs, Fruzsina J. (Cambridge U. ; Cambridge U., KICC) ; Allanach, Benjamin C. (Cambridge U., DAMTP) ; Athron, Peter (Monash U. ; Nanjing Normal U.) ; Balázs, Csaba (Monash U.) ; Bagnaschi, Emanuele (PSI, Villigen) ; Bechtle, Philip (Bonn U.) ; Buchmueller, Oliver (Imperial Coll., London) ; Beniwal, Ankit (Louvain U., CP3) ; Bhom, Jihyun (Cracow, INP) et al.
Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle physics, astrophysics and cosmology fall into one or both of these categories. [...]
arXiv:2012.09874; PSI-PR-20-23; BONN-TH-2020-11; CP3-20-59; KCL-PH-TH/2020-75, P3H-20-080; TTP20-044; TUM-HEP-1310/20; IFT-UAM/CSIC-20-180; TTK-20-47, CERN-TH-2020-215; FTPI-MINN-20-36; UMN-TH-4005/20; HU-EP-20/37; DESY 20-222, ADP-20-33/T1143; DESY-20-222; Imperial/TP/2020/RT/04; UCI-TR-2020-19; gambit-review-2020.- 2022-04-29 - 15 p. - Published in : Rep. Prog. Phys.
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4 Stocker, Patrick
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