About
Now that the LHC physics program is well under way and results have begun to pour out of the experiments, the statistical methodology used for these results is a hot topic. This is a challenge at the LHC, as we have sensitivity to discover new physics in a stage of the experiments where systematic uncertainties can still be quite large. The emphasis of these lectures is how we can translate the scientific narrative of why we think we know what we know into quantitative statistical statements about the presence or absence of new physics. Topics will include statistical modeling, incorporation of control samples to constrain systematics, and Bayesian and Frequentist statistical tests that are capable of answering these questions..
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The talk
Credits and licence
- Institution
- CERN
- Department
- Academic Training Lecture Regular Programme,2010-2011
- Speaker
- Kyle Cranmer
- Year
- 2011
- Level
- Graduate
- Language
- English
- Subjects
- Mathematics
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed