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Mara Senghi Soares

Researcher at Spanish National Research Council

Publications -  1466
Citations -  101495

Mara Senghi Soares is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 132, co-authored 1407 publications receiving 91209 citations. Previous affiliations of Mara Senghi Soares include Université libre de Bruxelles & Autonomous University of Madrid.

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Measurement of the differential cross section for isolated prompt photon production in pp collisions at 7 TeV

S. Chatrchyan, +2309 more
- 29 Sep 2011 - 
TL;DR: In this paper, a measurement of the differential cross section for the inclusive production of isolated prompt photons in proton-proton collisions at a centre-of-mass energy of 7 TeV is presented.
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Measurement of the production cross section for W-bosons in association with jets in pp collisions at √s=7 TeV with the ATLAS detector

Georges Aad, +3038 more
- 25 Apr 2011 - 
TL;DR: In this article, the first measurement of the W + jets cross section in proton-proton collisions at a centre-of-mass energy of 7 TeV at the LHC with the ATLAS detector was reported.
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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.
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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.
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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.