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19992024
most citedMeasurement of the J/Psi Meson and b-Hadron Production Cross Sections in ppbar Collisions at sqrt s = 1960 GeV

699 citations · 7.2k across the 189 of their papers we have counts for

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hep-ph2013★ 2 cited

Hadron collider potential for excited bosons search: A Snowmass whitepaper

M. V. Chizhov, V. A. Bednyakov, J. A. Budagov

The dilepton final states, e+e- and mu+mu-, are the most clear channels for new heavy neutral resonances search. Their advantage is that the main irreducible background from the St…

hep-ph2011

First LHC constraints on anomalously interacting new vector bosons

M. V. Chizhov, V. A. Bednyakov, I. R. Boyko +3

It was recently proposed to extend the Standard Model by means of new spin-1 chiral and bosons with the internal quantum numbers of the electroweak Higgs doublets.…

hep-ph2011★ 3 cited

Anomalously interacting new extra vector bosons and their first LHC constraints

M. V. Chizhov, V. A. Bednyakov, I. R. Boyko +3

In this review phenomenological consequences of the Standard Model extension by means of new spin-1 chiral fields with the internal quantum numbers of the electroweak Higgs doublet…

hep-ph2011★ 2 cited

On resonance search in dilepton events at the LHC

M. V. Chizhov, V. A. Bednyakov, J. A. Budagov

The main distribution for a bump search is the dilepton invariant mass distribution with appropriated cut on an absolute value of pseudorapidity difference Delta_eta = |eta_1 - eta…

hep-ph2011

On resonance search in dijet events at the LHC

M. V. Chizhov, V. A. Bednyakov, J. A. Budagov

New strategy for resonance search in dijet events at the LHC is discussed. The main distribution used for a bump search is the dijet invariant mass distribution with appropriated c…

hep-ph2010★ 11 cited

A unique signal of excited bosons in dijet data from pp-collisions

M. V. Chizhov, V. A. Bednyakov, J. A. Budagov

With this note we would like to draw attention to a possible novel signal of new physics in dijet data at the hadron colliders. Usually it is accepted that all exotic models predic…