Data science in high energy physics
summary
Overview of a CEPC Higgs analysis that reconstructs a six-jet H→WW hadronic final state using WHIZARD and PYTHIA for event generation and CEPC ILD detector simulation with particle-flow reconstruction. Machine background cleaning, jet clustering and combinatorial chi-squared optimization produce invariant-mass peaks; TMVA BDT separates signal from backgrounds that are up to three orders of magnitude larger. Grid computing runs the workflows and achieves about 99% background reduction, yielding a relative statistical uncertainty good enough to enter the global Higgs community paper.
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chapters (11)
- 0:00Introduction
- 1:11Speaker intro
- 3:14LHC data challenges
- 7:08Precision physics
- 9:37Future colliders R&D
- 13:29Next-generation electron-positron colliders
- 15:58Higgs decay at CEPC
- 21:56Jet reconstruction
- 27:13Analysis tools
- 29:18Summary
- 30:10Q&A
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