Measurement of the Soft-Drop Jet Mass in pp Collisions at root s=13 TeV with the ATLAS Detector

M. Aaboud, G. Aad, B. Abbott, O. Abdinov, B Abeloos, S.H. Abidi, Ossama Sherif Alexander Abouzeid, NL Abraham, H. Abramowicz, H. Abreu, Y. Abulaiti, B.S. Acharya, Shin-ichi Adachi, L. Adamczyk, J. Adelman, M. Adersberger, T. Adye, A. A. Affolder, Y. Afik, Geert-Jan BesjesMilena Bajic, Alejandro Alonso Diaz, Mogens Dam, Jørn Dines Hansen, Gorm Aske Gram Krohn Galster, Peter Henrik Hansen, Jørgen Beck Hansen, Flavia de Almeida Dias, James William Monk, Troels Christian Petersen, Simon Holm Stark, Fabian Alexander Jürgen Thiele, Graig Wiglesworth, Stefania Xella

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Abstract

Jet substructure observables have significantly extended the search program for physics beyond the standard model at the Large Hadron Collider. The state-of-the-art tools have been motivated by theoretical calculations, but there has never been a direct comparison between data and calculations of jet substructure observables that are accurate beyond leading-logarithm approximation. Such observables are significant not only for probing the collinear regime of QCD that is largely unexplored at a hadron collider, but also for improving the understanding of jet substructure properties that are used in many studies at the Large Hadron Collider. This Letter documents a measurement of the first jet substructure quantity at a hadron collider to be calculated at next-to-next-to-leading-logarithm accuracy. The normalized, differential cross section is measured as a function of log10ρ2, where ρ is the ratio of the soft-drop mass to the ungroomed jet transverse momentum. This quantity is measured in dijet events from 32.9 fb?1 of √ s = 13 TeV protonproton collisions recorded by the ATLAS detector. The data are unfolded to correct for detector effects and compared to precise QCD calculations and leading-logarithm particle-level Monte Carlo simulations.

Original languageEnglish
Article number092001
JournalPhysical Review Letters
Volume121
Issue number9
Number of pages21
ISSN0031-9007
DOIs
Publication statusPublished - 28 Aug 2018

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