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Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004
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Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

Dec 20, 2015

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Page 1: Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

Current Statistical Issues in Particle Physics

Louis Lyons Particle Physics Oxford U.K.

Future of Statistical Theory Hyderabad December 2004

Page 2: Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

Current Statistical Issues in Particle Physics

• What is Particle Physics?

• What is Particle Physics data like?

• Typical analysis

• PHYSTAT Conferences

• Where we would like help

Page 3: Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

Typical Experiments

• Experiment Energy Beams # events Result

• LEP 200 GeV e+ e- 10 Z N = 2.987± 0.008

• BaBar/Belle 10 GeV e+ e- 10 BB CP-violation

• Tevatron 2000 GeV p anti-p “1014” SUSY?

• LHC 14000 GeV p p (2007…) Higgs?

• Super-K ~3 GeV KK 100 ν oscillations

Page 4: Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

K2K -from KEK to Kamioka- Long Baseline Neutrino Oscillation Experiment      

                                                                                                 

                                                                       

Page 5: Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

CDF at Fermilab

Page 6: Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

Typical Analysis• Parameter determination: dn/dt = 1/τ * exp(-t/ τ)

Worry about backgrounds, t resolution, t-dependent efficiency

• 1) Reconstruct tracks• 2) Select real events• 3) Select wanted events• 4) Extract t from L and v• 5) Model signal and background• 6) Likelihood fit for lifetime and statistical error• 7) Estimate systematic error

τ ± στ (stat) ± στ (syst)

Page 7: Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

Where we would like helpAccess to understood programsMultivariate analysis Cuts, Fisher, PCA, NN, SVM, Boosted Trees…….Confidence limits Nuisance parameters Unphysical values Coverage? Very small intervalsEstimating signal significance S/ B Nuisance parameters Look elsewhere effectGoodness of fit Sparse multi-dimensional dataCombining results Asymmetric errors Overlapping data samples