scholarly journals Next-to-Next-to-Leading Order Study of Three-Jet Production at the LHC

2021 ◽  
Vol 127 (15) ◽  
Author(s):  
Michał Czakon ◽  
Alexander Mitov ◽  
Rene Poncelet
Keyword(s):  
2021 ◽  
Vol 81 (4) ◽  
Author(s):  
Francesco G. Celiberto ◽  
Dmitry Yu. Ivanov ◽  
Mohammed M. A. Mohammed ◽  
Alessandro Papa

AbstractThe inclusive hadroproduction of a Higgs boson and of a jet, featuring large transverse momenta and well separated in rapidity, is proposed as a novel probe channel for the manifestation of the Balitsky–Fadin–Kuraev–Lipatov (BFKL) dynamics. Using the standard BFKL approach, with partial inclusion of next-to-leading order effects, predictions are presented for azimuthal Higgs-jet correlations and other observables, to be possibly compared with experimental analyses at the LHC and with theoretical predictions obtained in different schemes.


1997 ◽  
Vol 78 (3) ◽  
pp. 428-431 ◽  
Author(s):  
Erwin Mirkes ◽  
Dieter Zeppenfeld
Keyword(s):  

1995 ◽  
Vol 10 (20n21) ◽  
pp. 3071-3085 ◽  
Author(s):  
K.J. ESKOLA ◽  
X.-N. WANG

Production rates of large pT jets inpp collisions at RHIC and LHC energies are studied using the next-to-leading order calculation of S.D. Ellis, Z. Kunszt and D. Soper. The computed inclusive one-jet cross sections are compared against the CERN and Fermilab jet data from [Formula: see text] and pp collisions. The dependence of the results on the choice of parton distributions and renormalization/factorization scales is investigated.


2008 ◽  
Vol 183 ◽  
pp. 196-201 ◽  
Author(s):  
S. Dittmaier ◽  
P. Uwer ◽  
S. Weinzierl

2012 ◽  
Vol 36 (11) ◽  
pp. 1077-1081
Author(s):  
Yun-Cun He ◽  
Ben-Wei Zhang ◽  
En-Ke Wang
Keyword(s):  

2013 ◽  
Vol 111 (21) ◽  
Author(s):  
Francisco Campanario ◽  
Terrance M. Figy ◽  
Simon Plätzer ◽  
Malin Sjödahl

2006 ◽  
Vol 73 (1) ◽  
Author(s):  
Michael Krämer ◽  
Stephen Mrenna ◽  
Davison E. Soper
Keyword(s):  

2021 ◽  
Vol 2021 (11) ◽  
Author(s):  
D. Maître ◽  
H. Truong

Abstract In this article we present a neural network based model to emulate matrix elements. This model improves on existing methods by taking advantage of the known factorisation properties of matrix elements. In doing so we can control the behaviour of simulated matrix elements when extrapolating into more singular regions than the ones used for training the neural network. We apply our model to the case of leading-order jet production in e+e− collisions with up to five jets. Our results show that this model can reproduce the matrix elements with errors below the one-percent level on the phase-space covered during fitting and testing, and a robust extrapolation to the parts of the phase-space where the matrix elements are more singular than seen at the fitting stage.


2021 ◽  
Vol 81 (8) ◽  
Author(s):  
V. Andreev ◽  
A. Baghdasaryan ◽  
K. Begzsuren ◽  
A. Belousov ◽  
A. Bolz ◽  
...  

AbstractThe measurement of the jet cross sections by the H1 collaboration had been compared to various predictions including the next-to-next-to-leading order (NNLO) QCD calculations which are corrected in this erratum for an implementation error in one of the components of the NNLO calculations. The jet data and the other predictions remain unchanged. Eight figures, one table and conclusions are adapted accordingly, exhibiting even better agreement between the corrected NNLO predictions and the jet data.


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