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Frans Meijers

Researcher at CERN

Publications -  1803
Citations -  101109

Frans Meijers is an academic researcher from CERN. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 130, co-authored 1660 publications receiving 91514 citations. Previous affiliations of Frans Meijers include Indiana University & University of Cantabria.

Papers
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Inclusive $b$-jet production in $pp$ collisions at $s=7$ TeV

S. Chatrchyan, +2341 more
- 17 Apr 2012 - 
TL;DR: In this paper, the authors measured the b-jet production cross section in pp collisions at a center-of-mass energy of 7 TeV using data collected by the CMS experiment at the LHC.
Journal ArticleDOI

Search for vector-like T quarks decaying to top quarks and Higgs bosons in the all-hadronic channel using jet substructure

Vardan Khachatryan, +2199 more
- 12 Jun 2015 - 
TL;DR: In this article, a search is performed for a vector-like heavy T quark that is produced in pairs and that decays to a top quark and a Higgs boson.
Journal ArticleDOI

Search for B-S(0) -> mu(+)mu(-) and B-0 -> mu(+)mu(-) decays

S. Chatrchyan, +2143 more
- 06 Apr 2012 - 
TL;DR: In this paper, a search for the rare decays B-S(0) -> mu(+)mu(-) and B-0 -> mu (+)mu (-) was performed in pp collisions at root s = 7 TeV, with a data sample corresponding to an integrated luminosity of 5 fb(-1) collected by the CMS experiment at the LHC.
Proceedings Article

Search for microscopic black holes in pp collisions at root s=8 TeV

S. Chatrchyan, +2172 more
TL;DR: In this paper, a search for microscopic black holes and string balls is presented, based on a data sample of pp collisions at $ \sqrt{s}=8 $ TeV recorded by the CMS experiment at the Large Hadron Collider and corresponding to an integrated luminosity of 12 fb−1.
Journal ArticleDOI

Search for anomalous Wtb couplings and flavour-changing neutral currents in t-channel single top quark production in pp collisions at √s=7 and 8 TeV

Vardan Khachatryan, +2341 more
- 07 Feb 2017 - 
TL;DR: In this article, a Bayesian neural network technique is used to discriminate between the signal and background, which is observed to be consistent with the standard model prediction, and the 95% confidence level (CL) exclusion limits on anomalous right-handed vector, and left-and right-hand tensor Wtb couplings are measured to be |f_V^R| < 0.16,|f_T^L|< 0.057, and − 0.048, respectively.