C
Chris Wymant
Researcher at University of Oxford
Publications - 58
Citations - 4915
Chris Wymant is an academic researcher from University of Oxford. The author has contributed to research in topics: Higgs boson & Population. The author has an hindex of 22, co-authored 52 publications receiving 3568 citations. Previous affiliations of Chris Wymant include Durham University & Imperial College London.
Papers
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Journal ArticleDOI
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.
Luca Ferretti,Chris Wymant,Michelle Kendall,Lele Zhao,Anel Nurtay,Lucie Abeler-Dörner,Michael Parker,David Bonsall,Christophe Fraser +8 more
TL;DR: A mathematical model for infectiousness was developed to estimate the basic reproductive number R0 and to quantify the contribution of different transmission routes and the requirements for successful contact tracing, and the combination of two key parameters needed to reduce R0 to less than 1 was determined.
Journal ArticleDOI
Designing and recasting LHC analyses with MadAnalysis 5
TL;DR: In this paper, an extension of the expert mode of the MadAnalysis program dedicated to the design or reinterpretation of high-energy physics collider analyses is presented, which includes the possible definition of multiple sub-analyses and a novel user-friendly treatment for the selection criteria.
Journal ArticleDOI
Toward a public analysis database for LHC new physics searches using MADANALYSIS 5
Beranger Dumont,Benjamin Fuks,Benjamin Fuks,Sabine Kraml,Samuel Bein,Guillaume Chalons,Eric Conte,S. Kulkarni,Dipan Sengupta,Chris Wymant +9 more
TL;DR: In this article, the MadAnalysis 5 framework was used to implement several ATLAS and CMS searches for supersymmetry in data recorded during the first run of the first HPCA.
Journal ArticleDOI
Designing and recasting LHC analyses with MadAnalysis 5
TL;DR: In this paper, the authors present an extension of the expert mode of the MadAnalysis 5 program dedicated to the design or reinterpretation of high-energy physics collider analyses.
Journal ArticleDOI
Towards a public analysis database for LHC new physics searches using MadAnalysis 5
Beranger Dumont,Benjamin Fuks,Sabine Kraml,Samuel Bein,Guillaume Chalons,Eric Conte,Suchita Kulkarni,Dipan Sengupta,Chris Wymant +8 more
TL;DR: In this paper, the MadAnalysis 5 framework was used to implement several ATLAS and CMS searches for supersymmetry in data recorded during the first run of the LHC, and a public analysis database was created within this framework.