The 17th MCnet school will be held CERN.
The school provides a five day course of training in the physics and techniques used in modern Monte Carlo event generators via a series of lectures, practical sessions, and discussions with event-generator authors. The school is aimed at advanced doctoral students and early-career postdocs.
Our core sessions comprise a series of introductory lectures on the physics of event generators, further lectures on a wider range of associated topics, a series of hands-on tutorials using all of the MCnet event generators for LHC physics, and evening discussion sessions with Monte Carlo authors.
The full list of lectures is:
- Introduction to Event Generators - Michael Seymour (Manchester)
- Parton Showers, Matching and Merging - Marek Schönherr (Durham)
- Aspects of the EW Standard Model - Alessandro Vicini (INFN Milano)
- Model-Independent Measurements - Monica Dunford (Heidelberg)
- Event Generators for Heavy Ion Collisions - Korinna Zapp (Lund)
- Machine Learning and MC Event Generators - Manuel Szewc (Cincinnati)
- Software Sustainability - Caterina Doglioni (Manchester)
- Journey to Industry - Joanna Huang (Faculty AI)
- Diversity and Inclusion in HEP - CERN Diversity and Inclusion Programme
Tutorials:
- Computing on GPUs - Enrico Bothmann (Göttingen)
- Herwig7 - Stefan Kiebacher (Karlsruhe Institute of Technology)
- Pythia8 - Christian Bierlich (Lund)
- Sherpa - Max Knobbe (Göttingen), Peter Meinzinger (Durham)
- MadGraph5+Rivet+Contur - NN
Organised by:
Sponsors:
Funding for this year's school comes from the LHC Physics Center at CERN (LPCC).
The registration fee will be 50 CHF to be paid after successful application.
