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Sudarshan Paramesvaran

Researcher at University of Bristol

Publications -  1311
Citations -  85459

Sudarshan Paramesvaran is an academic researcher from University of Bristol. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 125, co-authored 1169 publications receiving 75865 citations. Previous affiliations of Sudarshan Paramesvaran include University of California, San Diego & University of California, Los Angeles.

Papers
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Search for Evidence of the Type-III Seesaw Mechanism in Multilepton Final States in Proton-Proton Collisions at s =13 TeV

Albert M. Sirunyan, +2234 more
TL;DR: The results are used to place limits on the production of heavy fermions of the type-III seesaw model as a function of the branching ratio to each lepton flavor.
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Search for anomalous single top quark production in association with a photon in pp collisions at √s = 8 TeV

Vardan Khachatryan, +2356 more
TL;DR: In this paper, a search for flavor changing neutral currents (FCNC) through single top quark production in association with a photon is presented, and upper limits at the 95% confidence level are set on the tuγ and tcγ anomalous couplings.
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Measurement of differential cross sections for the production of a pair of isolated photons in pp collisions at √s=7TeV

S. Chatrchyan, +2212 more
TL;DR: In this article, a measurement of differential cross sections for the production of a pair of isolated photons in proton-proton collisions at squarert(s) = 7 TeV is presented.
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A search for the standard model Higgs boson decaying to charm quarks

Albert M. Sirunyan, +2363 more
TL;DR: In this article, a direct search for the standard model Higgs boson produced in association with a vector boson, V (W or Z), and decaying to a charm quark pair is presented.
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Measurement of the Higgs boson production rate in association with top quarks in final states with electrons, muons, and hadronically decaying tau leptons at √s=13Te

Albert M. Sirunyan, +2410 more
TL;DR: The most sensitive measurement of the Higgs boson coupling to the tau lepton was obtained in this paper, where the authors used machine learning techniques and matrix-element methods.