Performance Evaluation of Energy Reconstruction Methods in the ATLAS Hadronic Calorimeter

The so called particle accelerators are machines that collide particles beam next to speed of light. The Large Hadron Collider, the largest and most powerful beam collider, operates at 13~TeV of energy collision with a 40~MHz of collision rate. In the ATLAS experiment, optimal filter techniques can be applied on energy estimation even on noise and signal overlapping occurrence. In this context, the present work compares energy estimation performance of two methods: the baseline algorithm OF2 (Optimal Filter) and COF (Constrained Optimal Filter) in the main hadronic ATLAS calorimeter. The work proposes an adaptive estimator of the energy signal baseline in the ATLAS experiment at LHC. For performance comparisons, the statistics from the energy estimation distributions are employed. The results show that the COF method presents a better performance than the OF2 method in terms of estimation error. The proposed signal baseline estimator properly improves the COF efficiency.