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Jennifer A. Smith

Researcher at University of Michigan

Publications -  977
Citations -  94283

Jennifer A. Smith is an academic researcher from University of Michigan. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 131, co-authored 862 publications receiving 83025 citations. Previous affiliations of Jennifer A. Smith include National Institutes of Health & Imperial College London.

Papers
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Search for pair production of first- and second-generation scalar leptoquarks in pp collisions at √s=7TeV

S. Chatrchyan, +2287 more
- 27 Sep 2012 - 
TL;DR: In this paper, a search for the pair production of first and second-generation scalar leptoquarks in proton-proton collisions at 7 TeV was conducted.
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Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at √s = 7 TeV

Vardan Khachatryan, +2125 more
Abstract: The inclusive jet cross section for proton-proton collisions at a centre-of-mass energy of 7 TeV was measured by the CMS Collaboration at the LHC with data corresponding to an integrated luminosity of 5.0 inverse femtobarns. The measurement covers a phase space up to 2 TeV in jet transverse momentum and 2.5 in absolute jet rapidity. The statistical precision of these data leads to stringent constraints on the parton distribution functions of the proton. The data provide important input for the gluon density at high fractions of the proton momentum and for the strong coupling constant at large energy scales. Using predictions from perturbative quantum chromodynamics at next-to-leading order, complemented with electroweak corrections, the constraining power of these data is investigated and the strong coupling constant at the Z boson mass M[Z] is determined to be alpha[S(M[Z])} = 0.1185 +/- 0.0019 (exp) +0.0060 -0.0037 (theo), which is in agreement with the world average.
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Efficient Variant Set Mixed Model Association Tests for Continuous and Binary Traits in Large-Scale Whole-Genome Sequencing Studies.

TL;DR: This paper proposes the variant-set mixed model association tests (SMMAT) for continuous and binary traits using the generalized linear mixed model framework, and shows that all the proposed SMMATs correctly control type I error rates for both continuous andbinary traits in the presence of population structure and relatedness.
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Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter

S. Chatrchyan, +2464 more
TL;DR: In this paper, noise rejection algorithms are applied to LHC collision data at the trigger level or in the offline analysis to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the physics trigger operation.
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Search for narrow resonances and quantum black holes in inclusive and b-tagged dijet mass spectra from pp collisions at sqrt(s)=7 TeV

S. Chatrchyan, +2239 more
TL;DR: In this paper, a search for narrow resonances and quantum black holes is performed in inclusive and b-tagged dijet mass spectra measured with the CMS detector at the LHC.