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We perform a detailed study of NLO parton shower matching uncertainties in Higgs boson pair production through gluon fusion at the LHC based on a generic and process independent implementation of NLO subtraction and parton shower matching…

高能物理 - 唯象学 · 物理学 2018-04-04 Stephen Jones , Silvan Kuttimalai

We compute resummed and matched predictions for jet angularities in hadronic dijet and Z+jet events with and without grooming the candidate jets using the SoftDrop technique. Our theoretical predictions also account for non-perturbative…

高能物理 - 唯象学 · 物理学 2022-03-23 Daniel Reichelt , Simone Caletti , Oleh Fedkevych , Simone Marzani , Steffen Schumann , Gregory Soyez

We present a general method to match fully differential next-to-next-to-leading (NNLO) calculations to parton shower programs. We discuss in detail the perturbative accuracy criteria a complete NNLO+PS matching has to satisfy. Our method is…

高能物理 - 唯象学 · 物理学 2015-06-17 Simone Alioli , Christian W. Bauer , Calvin Berggren , Frank J. Tackmann , Jonathan R. Walsh , Saba Zuberi

The last few years have seen community-wide excitement in the study of jet substructure derived from the inner workings of clustering algorithms. Such efforts have resulted in the design of new observables which are related to partonic…

高能物理 - 唯象学 · 物理学 2022-09-13 Raghav Kunnawalkam Elayavalli

We study the theoretical uncertainties in the determination of the top-quark mass using next-to-leading-order (NLO) generators, that describe the top-quark decay at different levels of accuracy, interfaced to parton showers (PS).…

高能物理 - 唯象学 · 物理学 2018-08-29 Silvia Ferrario Ravasio , Tomáš Ježo

The next-to-leading order (NLO) corrections to Drell-Yan slepton pair production are merged with parton shower evolution via the POWHEG method in Herwig++. The NLO corrections at the level of event generation alter the shape of observables…

高能物理 - 唯象学 · 物理学 2012-08-02 Ilan Fridman-Rojas , Peter Richardson

We propose a new way to impose four-momentum conservation on timelike parton-shower branchings, allowing for recoil to be imparted not only to individual partons but also to groups of partons, "jets". In this work we present an explicit…

高能物理 - 唯象学 · 物理学 2025-12-09 Jack Helliwell , Ludovic Scyboz , Peter Skands

The MC@NLO method as implemented in the Sherpa MC generator is presented using the production of W-bosons in conjunction with up to three jets as an example. Corresponding results computed at next-to leading order in QCD and including…

高能物理 - 唯象学 · 物理学 2012-06-22 Frank Siegert , Stefan Hoeche , Frank Krauss , Marek Schonherr

In this study we tried to emphasize the role parton shower plays in event generation, and in the physics of high energy event generation. We achieved this task by comparing the next-to-leading order and next-to-next-to-leading order results…

高能物理 - 唯象学 · 物理学 2014-05-08 Hessamoddin Kaveh , Mohammad Ebrahim Zomorrodian

The impact of NLO corrections, and in particular, the role of jet algorithms, is examined for a variety of processes at the Tevatron and LHC.

高能物理 - 唯象学 · 物理学 2010-01-18 J. Huston

We present a novel method to combine QCD calculations at next-to-next-to-leading order (NNLO) with parton shower (PS) simulations, that can be applied to the production of heavy systems in hadronic collisions, such as colour singlets or a…

高能物理 - 唯象学 · 物理学 2022-01-11 Pier Francesco Monni , Paolo Nason , Emanuele Re , Marius Wiesemann , Giulia Zanderighi

We present a calculation of the next-to-leading order QCD corrections to slepton pair production in association with a jet at the LHC together with their implementation in the POWHEG BOX. For the simulation of parton-shower effects and the…

高能物理 - 唯象学 · 物理学 2015-06-23 Barbara Jager , Andreas von Manteuffel , Stephan Thier

We present a new approach to combine multiple NLO parton-level calculations matched to parton showers into a single inclusive event sample. The method provides a description of hard multi-jet configurations at next-to leading order in the…

高能物理 - 唯象学 · 物理学 2013-02-14 Thomas Gehrmann , Stefan Hoeche , Frank Krauss , Marek Schonherr , Frank Siegert

The formation and evolution of leading jets can be described by jet functions which satisfy non-linear DGLAP-type evolution equations. Different than for inclusive jets, the leading jet functions constitute normalized probability densities…

高能物理 - 唯象学 · 物理学 2021-07-28 Duff Neill , Felix Ringer , Nobuo Sato

We formulate a collinear partonic shower algorithm that achieves next-to-single-logarithmic (NSL, $\alpha_s^n L^{n-1}$) accuracy for collinear-sensitive non-singlet fragmentation observables. This entails the development of an algorithm for…

We carry out extensive tests of the next-to-leading logarithmic (NLL) accuracy of the PanScales parton showers, as introduced recently for colour-singlet production in hadron collisions. The tests include comparisons to (semi-)analytic NLL…

Recent developments in QCD phenomenology have spurred on several improved approaches to Monte Carlo event generation, relative to the post--LEP state of the art. In this brief review, the emphasis is placed on approaches for 1) consistently…

高能物理 - 唯象学 · 物理学 2009-11-11 Peter Z. Skands

In this article we present an event generator based on the Monte Carlo program Powheg in combination with the matrix-element generator Recola. We apply it to compute NLO electroweak corrections to same-sign W-boson scattering, which have…

高能物理 - 唯象学 · 物理学 2020-02-19 Mauro Chiesa , Ansgar Denner , Jean-Nicolas Lang , Mathieu Pellen

Machine learning methods incorporating deep neural networks have been the subject of recent proposals for new hadronic resonance taggers. These methods require training on a dataset produced by an event generator where the true class labels…

高能物理 - 唯象学 · 物理学 2017-01-25 James Barnard , Edmund Noel Dawe , Matthew J. Dolan , Nina Rajcic

We investigate the effects of keeping the full color structure for parton emissions in parton showers for both LEP and LHC. This is done within the Herwig 7 dipole shower, and includes gluon emission, gluon splitting, initial state…

高能物理 - 唯象学 · 物理学 2018-11-14 Simon Plätzer , Malin Sjodahl , Johan Thorén