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MCnetITN3 Mid-Term Review

MCnetITN3 Mid-Term Review. Coordinator’s Report Mike Seymour January 24 th 2019. MCnetITN3. H2020 Innovative Training Network for Monte Carlo event generator development validation and tuning Approved for four years from 1st Apr 2017 Builds on success of FP6 RTN MCnet (2007–2010)

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MCnetITN3 Mid-Term Review

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  1. MCnetITN3 Mid-Term Review Coordinator’s Report Mike Seymour January 24th 2019

  2. MCnetITN3 • H2020 Innovative Training Network • for Monte Carlo event generator • development • validation and tuning • Approved for four years from 1st Apr 2017 • Builds on success of • FP6 RTN MCnet (2007–2010) • FP7 ITN MCnetITN (2013–2016)

  3. Why Monte Carlo? • Experimental • Planning of future experiments • Planning/preparation of analysis • Simulating signals (response, efficiency) • Simulating backgrounds (when they cannot be measured, efficiency/extrapolation when they can) • Theoretical • QCD cannot be solved; more from calculation ⇒ less modelling ⇒ deeper understanding

  4. Why Monte Carlo?

  5. MCnetITN3 . Plugin SHERPA MadGraph PYTHIA Herwig +CERN +Heidelberg +Vienna +Monash(Aus)

  6. MCnetITN3 objectives Training: • To train a large section of the user base in the physics and techniques of event generators • To train the next generation of event generator developers • To provide broader training in transferable skills Through Research: • To develop the next generation of higher precision event generators and support them for use throughout the LHC era and beyond • To play a central rôle in the analysis of LHC data and the discovery of new physics there • To extract the maximum potential from existing data to constrain the modeling of the data from the LHC and future experiments  Steffen Schumann  Jeppe Andersen

  7. Coordinator’s Report • Scientific Progress Report • Jeppe Andersen • Training Progress Report • Steffen Schumann

  8. Networking • Four network meetings • CERN April 2017 • Karlsruhe September 2017 • CERN April 2018 • Louvain (this week) • typical attendance ~40 • 70 of the 100 members attended at least 1 • Short collaborative visits

  9. Networking • All projects multi-institute • Most institutes multi-project • 28/70 papers jointly by network members from different institutions

  10. Non-Academic Partners • Lecture on non-academic applications of our methods at each school: • B12 at Lund 2017 • IBA at Monash 2018 • blue yonder at London 2019 • Dedicated non-academic discussion session at CERN network meeting 2018 • All long-term ESRs offered non-academic secondment • Luca Mantani (Louvain) currently at B12

  11. 2007–2018

  12. New web site launched this week

  13. Student & postdoc committee (six students, one postdoc) External advisory committee (four expters, GENSER, non-academic) Management Management Committee (twenty tenured academics) Management Group (eight team leaders) Scientist in Charge and Network Project Manager Meets monthly, uses password-protected internal web Administrative departments

  14. Deliverables/Milestones • All due deliverables and milestones delivered • But… • D2.1: “Recruit 56 ESR-months of short-term studentships (approximately 16 students)” due 31 Mar 2019. • Currently 33 ESR-months (7 students)

  15. Impact • Our biggest scientific impact is on the exploitation of LHC data • Annual Schools and Short-term Studentships impact on user community • Huge impact on Fellows’ careers, e.g... • 2 members of management committee (permanent academic staff) 3 others in long-term (≥5 yr) postns • 9 current postdocs • 4 lecturers or tutors at Annual School • were ESRs of our precursor networks

  16. Summary • 21 months of MCnetITN3 have seen great progress towards our research objectives • Long-term recruitment completed, but currently re-opened for Göttingen position • Short-term recruitment behind schedule, mainly due to slow start • Schools, meetings, training events, networking, dissemination, outreach, … going as planned • Secondments have started

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