Andrew Hornig
Los Alamos National Laboratory
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Featured researches published by Andrew Hornig.
Journal of Physics G | 2012
A. Altheimer; S. Arora; L. Asquith; G. Brooijmans; J. M. Butterworth; M. Campanelli; B. Chapleau; A. E. Cholakian; John Paul Chou; Mrinal Dasgupta; A. R. Davison; J. Dolen; Stephen D. Ellis; R. Essig; J. J. Fan; R. D. Field; Alessandro Fregoso; Jason Gallicchio; Yuri Gershtein; A. Gomes; A. Haas; E. Halkiadakis; V. Halyo; Stefan Hoeche; Anson Hook; Andrew Hornig; P. Huang; Eder Izaguirre; M. Jankowiak; Graham D. Kribs
In this paper, we review recent theoretical progress and the latest experimental results in jet substructure from the Tevatron and the LHC. We review the status of and outlook for calculation and simulation tools for studying jet substructure. Following up on the report of the Boost 2010 workshop, we present a new set of benchmark comparisons of substructure techniques, focusing on the set of variables and grooming methods that are collectively known as ‘top taggers’. To facilitate further exploration, we have attempted to collect, harmonize and publish software implementations of these techniques.
Journal of High Energy Physics | 2010
Stephen D. Ellis; Christopher K. Vermilion; Jonathan R. Walsh; Andrew Hornig; Christopher Lee
Jet shapes are weighted sums over the four-momenta of the constituents of a jet and reveal details of its internal structure, potentially allowing discrimination of its partonic origin. In this work we make predictions for quark and gluon jet shape distributions in N-jet final states in e+e− collisions, defined with a cone or recombination algorithm, where we measure some jet shape observable on a subset of these jets. Using the framework of Soft-Collinear Effective Theory, we prove a factorization theorem for jet shape distributions and demonstrate the consistent renormalization-group running of the functions in the factorization theorem for any number of measured and unmeasured jets, any number of quark and gluon jets, and any angular size R of the jets, as long as R is much smaller than the angular separation between jets. We calculate the jet and soft functions for angularity jet shapes τα to one-loop order
European Physical Journal C | 2014
A. Altheimer; A. T. H. Arce; L. Asquith; J. Backus Mayes; E. Bergeaas Kuutmann; J. Berger; David Martin Bjergaard; L. Bryngemark; A. G. Buckley; J. M. Butterworth; M. Cacciari; M. Campanelli; T. Carli; Mikael Chala; B. Chapleau; C. Chen; John Paul Chou; Th. Cornelissen; David Curtin; Mrinal Dasgupta; A. R. Davison; F. de Almeida Dias; A. De Cosa; A. De Roeck; C. Debenedetti; C. Doglioni; Stephen D. Ellis; F. Fassi; J. Ferrando; S. Fleischmann
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Archive | 2014
A. Altheimer; A. T. H. Arce; L. Asquith; J. Backus Mayes; Elin Bergeaas Kuutmann; J. Berger; David Martin Bjergaard; L. Bryngemark; A. G. Buckley; J. M. Butterworth; M. Cacciari; M. Campanelli; T. Carli; Mikael Chala; B. Chapleau; C. Chen; J. P. Chou; T. Cornelissen; David Curtin; Mrinal Dasgupta; A. R. Davison; F. de Almeida Dias; A. De Cosa; A. De Roeck; C. Debenedetti; C. Doglioni; Stephen D. Ellis; F. Fassi; J. Ferrando; S. Fleischmann
and resum a subset of the large logarithms of τα needed for next-to-leading logarithmic (NLL) accuracy for both cone and kT-type jets. We compare our predictions for the resummed τα distribution of a quark or a gluon jet produced in a 3-jet final state in e+e− annihilation to the output of a Monte Carlo event generator and find that the dependence on a and R is very similar.
Journal of High Energy Physics | 2013
Simone Alioli; Christian W. Bauer; Calvin Berggren; Andrew Hornig; Frank J. Tackmann; Christopher K. Vermilion; Jonathan R. Walsh; Saba Zuberi
This report of the BOOST2012 workshop presents the results of four working groups that studied key aspects of jet substructure. We discuss the potential of first-principle QCD calculations to yield a precise description of the substructure of jets and study the accuracy of state-of-the-art Monte Carlo tools. Limitations of the experiments’ ability to resolve substructure are evaluated, with a focus on the impact of additional (pile-up) proton proton collisions on jet substructure performance in future LHC operating scenarios. A final section summarizes the lessons learnt from jet substructure analyses in searches for new physics in the production of boosted top quarks.
Journal of High Energy Physics | 2009
Andrew Hornig; Christopher Lee; Grigory Ovanesyan
This report of the BOOST2012 workshop presents the results of four working groups that studied key aspects of jet substructure. We discuss the potential of first-principle QCD calculations to yield a precise description of the substructure of jets and study the accuracy of state-of-the-art Monte Carlo tools. Limitations of the experiments’ ability to resolve substructure are evaluated, with a focus on the impact of additional (pile-up) proton proton collisions on jet substructure performance in future LHC operating scenarios. A final section summarizes the lessons learnt from jet substructure analyses in searches for new physics in the production of boosted top quarks.
Journal of High Energy Physics | 2011
Andrew Hornig; Christopher Lee; Iain W. Stewart; Jonathan R. Walsh; Saba Zuberi
A bstractWe extend the lowest-order matching of tree-level matrix elements with parton showers to give a complete description at the next higher perturbative accuracy in αs at both small and large jet resolutions, which has not been achieved so far. This requires the combination of the higher-order resummation of large Sudakov logarithms at small values of the jet resolution variable with the full next-to-leading-order (NLO) matrix-element corrections at large values. As a by-product, this combination naturally leads to a smooth connection of the NLO calculations for different jet multiplicities. In this paper, we focus on the general construction of our method and discuss its application to e+e− and pp collisions. We present first results of the implementation in the Geneva Monte Carlo framework. We employ N-jettiness as the jet resolution variable, combining its next-to-next-to-leading logarithmic resummation with fully exclusive NLO matrix elements, and Pythia 8 as the backend for further parton showering and hadronization. For hadronic collisions, we take Drell-Yan production as an example to apply our construction. For e+e− → jets, taking αs(mZ) = 0.1135 from fits to LEP thrust data, together with the Pythia 8 hadronization model, we obtain good agreement with LEP data for a variety of 2-jet observables.
Physics Letters B | 2010
Stephen D. Ellis; Andrew Hornig; Christopher Lee; Christopher K. Vermilion; Jonathan R. Walsh
Using soft-collinear effective theory (SCET), which provides a unified framework for factorization, resummation of logarithms, and incorporation of universal nonperturbative functions in hard-scattering QCD cross-sections, we present a new prediction of angularity distributions in e+e− annihilation. Angularities τa are an infinite class of event shapes which vary in their sensitivity to the substructure of jets in the final state, controlled by a continuous parameter a < 2. We calculate angularity distributions for all a < 1 to first order in the strong coupling αs and resum large logarithms in these distributions to next-to-leading logarithmic (NLL) accuracy. Our expressions for the next-to-leading order (NLO) (αs) partonic jet and soft functions in the factorization theorem for angularity distributions are given for the first time. We employ a model for the nonperturbative soft function with a gap parameter which cancels the renormalon ambiguity in the partonic soft function. We explore the relation between the SCET approach to resummation and past approaches in QCD, and discuss the advantages of the effective theory approach. In addition, we draw from the NLO calculations of the jet and soft functions an intuitive lesson about how factorization breaks down in the effective theory as a → 1.
Physical Review D | 2009
Christian W. Bauer; Andrew Hornig; Frank J. Tackmann
High energy scattering processes involving jets generically involve matrix elements of light-like Wilson lines, known as soft functions. These describe the structure of soft contributions to observables and encode color and kinematic correlations between jets. We compute the dijet soft function to
Journal of High Energy Physics | 2012
Andrew Hornig; Christopher Lee; Jonathan R. Walsh; Saba Zuberi
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