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

• f 2%, 3%, 5%, 10% (1024

combina(ons)

• Do CPV fits for each combina(on,

using high exposure (10+10 years)

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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

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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

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