Introduction to Data Analysis Methods in Particle Physics
summary
Brief overview of the Standard Model and the 27 km LHC with the 3000‑ton ATLAS calorimeter leads to an actual data pipeline: CERN/ATLAS Monte Carlo and recorded collisions processed with ROOT plus C++ and increasing Python work, selection cuts that keep about 70–74% of events, and a histogram with a reconstructed Z peak at ~91 GeV. Slides show detector construction, data shipping, invariant‑mass calc and that the Z signal emerges after concrete cuts rather than abstract examples.
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chapters (8)
- 0:00Talk overview
- 0:25Standard Model intro
- 2:37Large Hadron Collider
- 8:04ATLAS detector
- 10:11Data volume and Monte Carlo
- 16:09Z boson detection
- 19:27Data selection and mass
- 21:15Open floor for questions and discussion
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