# Changes between Version 15 and Version 16 of DatabaseBasedAnalysis/Spectrum

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Timestamp:
Dec 3, 2019, 5:07:02 PM (10 months ago)
Comment:

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Unmodified
 v15 The number of excess events, for data and simulations, is defined as $N_\textrm{exc} = N_\textrm{sig} - N_\textrm{bg}$ $N_\textrm{exc} = N_\textrm{sig} - \hat N_\textrm{bg}$ where $$N_\textrm{sig}$$ is the number of events identified as potential gammas from the source direction ('on-source') and $$N_\textrm{bg}$$ the number of gamma-like events measured 'off-source'. Note that for Simulations, $$N_\textrm{bg}$$ is not necessarily zero for wobble-mode observations as an event can survive the analysis for on- and off-events, if this is not protected by the analysis chain. where $$N_\textrm{sig}$$ is the number of events identified as potential gammas from the source direction ('on-source') and $$N_\textrm{bg}$$ the number of gamma-like events measured 'off-source'. Note that for Simulations, $$\hat N_\textrm{bg}$$ is not necessarily zero for wobble-mode observations as an event can survive the analysis for on- and off-events, if this is not protected by the analysis chain. The average number of background events $$\hat N_\textrm{bg}$$ is the total number of background events $$\N_\textrm{bg}$$ from all off-regions times the corresponding weight $$\omega$$. For five off-regions, this yields $$$\hat N_\textrm{bg}$$ = \frac{N_\textrm{bg}}{5}$