In order to limit the dependence on the monte carlo simulation accuracy, I am trying to calibrate BigCal without any energy corrections. That is I am pushing these corrections into the calibration coefficients. I will still include some position corrections from neural networks, but the energy should be determined by the shower.
This will involve recalibrating the pi0 peak without the correction and then retraining the bigcal plane reconstruction with this new energy.
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![]() | pi0Calibration_para_..> | 2015-01-09 17:56 | 41K | |
![]() | NNParaGammaEXYCorrec..> | 2015-01-09 17:56 | 41K | |
![]() | InspectNNData_gamma_..> | 2015-01-09 17:56 | 154K | |
![]() | InspectNNData_electr..> | 2015-01-09 17:56 | 44K | |