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Monte Carlo event generators for high energy particle physics event simulation

Authors :
Buckley, Andy
Krauss, Frank
Plätzer, Simon
Seymour, Michael
Alioli, Simone
Andersen, Jeppe
Bellm, Johannes
Butterworth, Jon
Dasgupta, Mrinal
Duhr, Claude
Frixione, Stefano
Gieseke, Stefan
Hamilton, Keith
Hesketh, Gavin
Hoeche, Stefan
Jung, Hannes
Kilian, Wolfgang
Lönnblad, Leif
Maltoni, Fabio
Mangano, Michelangelo
Mrenna, Stephen
Nagy, Zoltán
Nason, Paolo
Nurse, Emily
Ohl, Thorsten
Oleari, Carlo
Papaefstathiou, Andreas
Plehn, Tilman
Prestel, Stefan
Ré, Emanuele
Reuter, Juergen
Richardson, Peter
Salam, Gavin
Schoenherr, Marek
Schumann, Steffen
Siegert, Frank
Siódmok, Andrzej
Sjödahl, Malin
Sjöstrand, Torbjörn
Skands, Peter
Soper, Davison
Soyez, Gregory
Webber, Bryan
Publication Year :
2019

Abstract

Monte Carlo event generators (MCEGs) are the indispensable workhorses of particle physics, bridging the gap between theoretical ideas and first-principles calculations on the one hand, and the complex detector signatures and data of the experimental community on the other hand. All collider physics experiments are dependent on simulated events by MCEG codes such as Herwig, Pythia, Sherpa, POWHEG, and MG5_aMC@NLO to design and tune their detectors and analysis strategies. The development of MCEGs is overwhelmingly driven by a vibrant community of academics at European Universities, who also train the next generations of particle phenomenologists. The new challenges posed by possible future collider-based experiments and the fact that the first analyses at Run II of the LHC are now frequently limited by theory uncertainties urge the community to invest into further theoretical and technical improvements of these essential tools. In this short contribution to the European Strategy Update, we briefly review the state of the art, and the further developments that will be needed to meet the challenges of the next generation.<br />Comment: Monte Carlo Community input to European Strategy Update

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1902.01674
Document Type :
Working Paper