higgs boson searches at cms
play

Higgs Boson Searches at CMS What Have We Found So Far? Patrick - PowerPoint PPT Presentation

Higgs Boson Searches at CMS What Have We Found So Far? Patrick Dunne Patrick Dunne 1 / 11 Higgs Boson Searches at CMS Outline A Higgs-like boson was discovered in 2012 at the LHC. How did we decide wed discovered something?


  1. Higgs Boson Searches at CMS What Have We Found So Far? Patrick Dunne Patrick Dunne 1 / 11 Higgs Boson Searches at CMS

  2. Outline ◮ A Higgs-like boson was discovered in 2012 at the LHC. ◮ How did we decide we’d discovered something? ◮ How do we answer the question: “Is it the Higgs?” Patrick Dunne 2 / 11 Higgs Boson Searches at CMS

  3. The Standard Model and the Higgs Boson 10 BR [pb] LHC HIGGS XS WG 2012 s = 8TeV - τ + τ ◮ Higgs boson is a consequence of ± WW → l ν q q 1 × + - VBF H → τ τ the Higgs mechanism which gives σ + - WW l l → ν ν mass to the weak vector bosons -1 10 - + ZZ → l l q q ◮ Higgs mechanism also gives rise to + - ZZ → l l ν ν -2 10 the fermion masses - - + + ZZ → l l l l -3 10 ± γ γ WH → l ν b b l = e, µ ◮ Standard Model couplings are well ttH → ttb b ν = ν , ν , ν e µ τ + - ZH l l b b q = udscb → -4 10 100 200 300 400 predicted M [GeV] H Patrick Dunne 3 / 11 Higgs Boson Searches at CMS

  4. Combinations ◮ To decide if we have found the Higgs boson we need to understand its properties ◮ This requires a combination of all the search channels ◮ The combination has three aims: Patrick Dunne 4 / 11 Higgs Boson Searches at CMS

  5. Combinations ◮ To decide if we have found the Higgs boson we need to understand its properties ◮ This requires a combination of all the search channels ◮ The combination has three aims: ◮ Setting exclusion limits on the SM Higgs Boson Patrick Dunne 4 / 11 Higgs Boson Searches at CMS

  6. Combinations ◮ To decide if we have found the Higgs boson we need to understand its properties ◮ This requires a combination of all the search channels ◮ The combination has three aims: ◮ Setting exclusion limits on the SM Higgs Boson ◮ Characterising excesses over the background Patrick Dunne 4 / 11 Higgs Boson Searches at CMS

  7. Combinations ◮ To decide if we have found the Higgs boson we need to understand its properties ◮ This requires a combination of all the search channels ◮ The combination has three aims: ◮ Setting exclusion limits on the SM Higgs Boson ◮ Characterising excesses over the background ◮ Extracting signal model parameters from the data Patrick Dunne 4 / 11 Higgs Boson Searches at CMS

  8. Setting Exclusion Limits ◮ The CL s statistic is used, which is the number of times more likely the signal hypothesis is than the background hypothesis. ◮ It is defined as: CL s = P ( q µ � q obs µ | µ · s + b ) P ( q µ � q obs µ | b ) ◮ µ is a signal strength modifier ◮ q µ is a profile likelihood ratio defined as: q µ = − 2 ln L ( obs | µ · s + b , ˆ θ µ ) . µ · s + b , ˆ L ( obs | ˆ θ ) Patrick Dunne 5 / 11 Higgs Boson Searches at CMS

  9. 2011 Exclusion Patrick Dunne 6 / 11 Higgs Boson Searches at CMS

  10. Discovery Exclusion Patrick Dunne 6 / 11 Higgs Boson Searches at CMS

  11. HCP Exclusion Patrick Dunne 6 / 11 Higgs Boson Searches at CMS

  12. Characterising Excesses ◮ Higgs analyses use the p value, defined as: p 0 = P ( q 0 � q obs | b ) , 0 ◮ q 0 is the profile likelihood from above with µ set to zero ◮ i.e. the p value is the probability of observing a background fluctuation as likely or less likely than that observed in the absence of signal. ◮ 1-p does not tell you P(signal)! Patrick Dunne 7 / 11 Higgs Boson Searches at CMS

  13. 2011 Significance Patrick Dunne 8 / 11 Higgs Boson Searches at CMS

  14. Discovery Significance Patrick Dunne 8 / 11 Higgs Boson Searches at CMS

  15. HCP Significance Patrick Dunne 8 / 11 Higgs Boson Searches at CMS

  16. Signal Parameter Determination ◮ Most channels give their results in terms of σ xBR ◮ We want model parameters so another, slightly different, profile likelihood ratio is used q ( a ) = − 2 ln L ( obs | s ( a ) + b , ˆ θ a ) a ) + b , ˆ L ( obs | s (ˆ θ ) ◮ a is the parameter of interest and hatted values are the values which maximise L ◮ Basically a ∆ log likelihood method so 1 σ etc. contours can be plotted. Patrick Dunne 9 / 11 Higgs Boson Searches at CMS

  17. Mass Patrick Dunne 10 / 11 Higgs Boson Searches at CMS

  18. Signal Strength Patrick Dunne 10 / 11 Higgs Boson Searches at CMS

  19. Couplings Patrick Dunne 10 / 11 Higgs Boson Searches at CMS

  20. What Next? CMS Preliminary -1 -1 s = 7 TeV, L = 5.1 fb s = 8 TeV, L = 12.2 fb Generated experiments 3000 SM, 0+ 2500 ◮ Finish analysing the 2012 0- 2000 dataset CMS data ◮ Analyse parked data 1500 ◮ Determine spin and parity 1000 ◮ Better coupling 500 determination 0 -30 -20 -10 0 10 20 30 × -2 ln(L /L ) 0+ 0- Patrick Dunne 11 / 11 Higgs Boson Searches at CMS

Recommend


More recommend