Mohamad-Ziad Charif - Antares

For BBFit all variables mentioned in section 5.3 will be used again for this analysis.For AAFit we will use the following variables:• Λ: Value of the maximum likelihood of the fit.• β: Estimation on the angular uncertainty of the direction of the fitted muontrack.• Nhit: Number of hits used in the fit.• tcosth: Cos[zenith] of the fitted track.• tphi: φ (azimuth) of the fitted track.6.3 Search strategyThe search strategy that is going to be employed in this chapter is going to bein essence exactly as in chapter 5. The extracted sensitivities and eventual limitswill again be based on the unified approach to the classical statistical analysis ofsmall signals or Feldman-Cousins [103]. The difference now in equations 6.1,6.2, & 6.4 is that t livetime and A ν e f fare now calculated for each run, this changesthe equation 6.3 to become n signal = ∑ ν + n run¯ν .runn run¯Φ 90% = ¯µ 90%n signal(6.1)¯µ 90% (n bgd ) =∞∑ µ ( ) n j bgdj,n bgdj=0j! e−n bgd(6.2)n signal = n ν + n ¯ν (6.3)n ν =E=M χˆE min6.4 Dark Matter with BBFit[ ]dNνdE .Aν e f f ·t livetime.dEIn this section we will represent the sensitivities produced with BBFit.6.4.1 BBFit Multi-line analysis(6.4)As in chapter 5 this analysis will follow the same route with the addition of oneenhancement to the analysis.114