Systema(cs Varia(on in Energy Bins Use new GLoBES to define - PowerPoint PPT Presentation

Systema(cs Varia(on in Energy Bins • Use “new” GLoBES to define normaliza(on uncertain(es in energy bins – Chose (somewhat randomly) bins: 0.5, 1.0, 2.0, 3.0, 5.0 GeV – Uncertainty is extrapolated between bins – Allow each bin to take uncertain(es of 2%, 3%, 5%, 10% (1024 combina(ons) • Do CPV fits for each combina(on, using high exposure (10+10 years) ETW 6/30/2017 1

CPV Fit Popula(ons See some natural separa(on into • popula(ons Near the best sensi(vi(es, everything • runs together – popula(on defini(ons by eye and somewhat arbitrary Again by eye, look for the most • uncertain constraint that falls within each popula(on – Choice uses some prejudice on my part about where it might be most difficult to get normaliza(on constraints (eg: lowest energy bin harder than in bulk of distribu(ons) – in prac(ce I looked for largest uncertainty in 2,3 GeV bins first, then 1,5 GeV, then 0.5 GeV – Happy to hear feedback on choice of “maximum” or to report results for any of the 1024 combina(ons that interest you Nominal (2% single bin) 2% in each bin ETW 6/30/2017 2

CPV Curves for Chosen Constraints • Need 2-3% (each) uncertainty in bins containing the bulk of the appearance distribu(on – Consistent with 2% overall norm. requirement • Do not need beder than 5-10% (each) normaliza(on uncertainty for low energy bins ETW 6/30/2017 3