Changes between Version 216 and Version 217 of DatabaseBasedAnalysis/Spectrum
- Timestamp:
- 12/09/19 16:40:53 (5 years ago)
Legend:
- Unmodified
- Added
- Removed
- Modified
-
DatabaseBasedAnalysis/Spectrum
v216 v217 118 118 where \(N(\delta\theta)\) is the number of produced events in the interval \(\delta\theta\) and \(\Delta T(\delta\theta)\) is the total observation time in the same zenith angle interval. \(\tau_0\) is the normalization constant. 119 119 120 \[\sigma^2(\tau_i) = \left[\frac{d\tau_i}{d\Delta T_i}\sigma(\Delta T_i)\right]^2+\left[\frac{d\tau_i}{dN_i}\sigma(N_i)\right]^2=\left[\frac{\tau_0}{N_i}\sigma(\Delta T_i)\right]^2+\left[\frac{\tau_0\cdot\Delta T_i}{N_i^2}\sigma(N_i)\right]^2\] 121 122 \[\rightarrow\quad\sigma^2(\tau_i) = \tau_i^2\left[\left(\frac{\sigma(\Delta T_i)}{\Delta T_i}\right)^2+\left(\frac{\sigma(N_i)}{N_i}\right)^2\right]\] 120 \[\sigma^2(\tau_i) = \left[\frac{d\tau_i}{d\Delta T_i}\sigma(\Delta T_i)\right]^2+\left[\frac{d\tau_i}{dN_i}\sigma(N_i)\right]^2= \tau_i^2\left[\left(\frac{\sigma(\Delta T_i)}{\Delta T_i}\right)^2+\left(\frac{\sigma(N_i)}{N_i}\right)^2\right]\] 123 121 124 122 While \(\sigma(\Delta T_i)\) is given by the data acquisition and 1s per run, \(\sigma^2(N_i)=N_i\) is just the statistical error \(\sqrt{N_i}\) of the number of events event counting.