BLUE estimator applied to energy measurement for the ν-Angra experiment

This paper proposes a detailed evaluation of the impact of digital filters when applied to the Neutrinos Angra Experiment. The signals coming out from its front-end electronics are digitized and then sent to an FPGA where further processing might be carried out. In this context, this work proposes a set of peak amplitude estimators optimized to have minimum variance. Constrained optimization technique has been considered in order to build up estimators less sensitive to signal pedestal and phase variations. Those estimators are carefully characterized for the Neutrinos Angra system, where peak amplitude is considered to be proportional to the energy left by crossing particles. The implemented study is based on single photoelectron signals as produced at the end of the experiment readout chain, after their digitization. The applied methodology and the achieved results are presented in the following.