Bijan Chokoufé Nejad
University of Würzburg
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Publication
Featured researches published by Bijan Chokoufé Nejad.
arXiv: High Energy Physics - Phenomenology | 2016
Bijan Chokoufé Nejad; Wolfgang Kilian; Jonas M. Lindert; Stefano Pozzorini; Jürgen Reuter; Christian Weiss
A bstractWe present predictions for tt¯
Computer Physics Communications | 2015
Bijan Chokoufé Nejad; Thorsten Ohl; Jürgen Reuter
Journal of High Energy Physics | 2018
Fabian Bach; Bijan Chokoufé Nejad; Andre H. Hoang; W. Kilian; Jürgen Reuter; Maximilian Stahlhofen; Thomas Teubner; Christian Weiss
t\overline{t}
arXiv: High Energy Physics - Phenomenology | 2016
Bijan Chokoufé Nejad; Wolfgang Kilian; Jürgen Reuter; Christian Weiss
arXiv: High Energy Physics - Phenomenology | 2016
Jürgen Reuter; Maximilian Stahlhofen; Bijan Chokoufé Nejad; Fabian Bach; Christian Weiss; W. Kilian
and tt¯H
Journal of High Energy Physics | 2016
Bijan Chokoufé Nejad; Wolfgang Kilian; Jonas M. Lindert; Stefano Pozzorini; Jürgen Reuter; Christian Weiss
Journal of High Energy Physics | 2016
Bijan Chokoufé Nejad; Wolfgang Kilian; Jonas M. Lindert; Stefano Pozzorini; Jürgen Reuter; Christian Weiss
t\overline{t}H
Journal of High Energy Physics | 2016
Bijan Chokoufé Nejad; Stefano Pozzorini; Wolfgang Kilian; Christian Weiss; Jonas M. Lindert; Jürgen Reuter
arXiv: High Energy Physics - Phenomenology | 2015
Jürgen Reuter; Fabian Bach; Bijan Chokoufé Nejad; Andre H. Hoang; W. Kilian; Maximilian Stahlhofen; Thomas Teubner; Christian Weiss
production and decay at future lepton colliders including non-resonant and interference contributions up to next-to-leading order (NLO) in perturbative QCD. The obtained precision predictions are necessary for a future precise determination of the top-quark Yukawa coupling, and allow for top-quark phenomenology in the continuum at an unprecedented level of accuracy. Simulations are performed with the automated NLO Monte-Carlo framework Whizard interfaced to the OpenLoops matrix element generator.
arXiv: High Energy Physics - Phenomenology | 2018
Jürgen Reuter; Maximilian Stahlhofen; Wolfgang Kilian; Thomas Teubner; Christian Weiss; Jonas M. Lindert; Andre H. Hoang; Stefano Pozzorini; Fabian Bach; Bijan Chokoufé Nejad
Abstract We introduce a virtual machine (VM) written in a numerically fast language like Fortran or C for evaluating very large expressions. We discuss the general concept of how to perform computations in terms of a VM and present specifically a VM that is able to compute tree-level cross sections for any number of external legs, given the corresponding byte-code from the optimal matrix element generator, O’Mega . Furthermore, this approach allows to formulate the parallel computation of a single phase space point in a simple and obvious way. We analyze hereby the scaling behavior with multiple threads as well as the benefits and drawbacks that are introduced with this method. Our implementation of a VM can run faster than the corresponding native, compiled code for certain processes and compilers, especially for very high multiplicities, and has in general runtimes in the same order of magnitude. By avoiding the tedious compile and link steps, which may fail for source code files of gigabyte sizes, new processes or complex higher order corrections that are currently out of reach could be evaluated with a VM given enough computing power.