Mohamad-Ziad Charif - Antares
Mohamad-Ziad Charif - Antares Mohamad-Ziad Charif - Antares
Figure 6.17: Comparison of Nhit distribution among data, atm ν , atm µ , and twodark matter spectra. The dark matter spectra were normalized to number of eventsof atm ν to emphasize the shape of the distribution. The muon and neutrino MonteCarlo are normalized to the lifetime of the data taking.6.4.2.2 Background estimationThe background estimation will follow the same procedure described in 6.4.1.2.However, the estimation of the background in the direction of the Sun is done aspreviously stated with the ∆(θ) variable. Figure 6.19 shows a comparison of theestimated background in the direction of the Sun among the scrambled data, andMonte Carlo (atm ν & atm µ ). The plots shows a very good agreement betweenthe scrambled data and the estimation from the Monte Carlo, this is in a way areflection of the very good Data Monte Carlo agreement we see in section 6.18126
Figure 6.18: Comparison of χ 2 distribution among data, atm ν , atm µ , and twodark matter spectra. The dark matter spectra were normalized to number of eventsof atm ν to emphasize the shape of the distribution. The upper plot is withoutNhit>7 , while the lower is with this cut. The muon and neutrino Monte Carlo arenormalized to the lifetime of the data taking.127
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Figure 6.17: Comparison of Nhit distribution among data, atm ν , atm µ , and twodark matter spectra. The dark matter spectra were normalized to number of eventsof atm ν to emphasize the shape of the distribution. The muon and neutrino MonteCarlo are normalized to the lifetime of the data taking.6.4.2.2 Background estimationThe background estimation will follow the same procedure described in 6.4.1.2.However, the estimation of the background in the direction of the Sun is done aspreviously stated with the ∆(θ) variable. Figure 6.19 shows a comparison of theestimated background in the direction of the Sun among the scrambled data, andMonte Carlo (atm ν & atm µ ). The plots shows a very good agreement betweenthe scrambled data and the estimation from the Monte Carlo, this is in a way areflection of the very good Data Monte Carlo agreement we see in section 6.18126
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