An improved weighting algorithm to achieve software compensation in a fine grained LAr calorimeter

Abstract

An improved weighting algorithm applied to hadron showers has been developed for a fine grained LAr calorimeter. In contrast to standard weighting procedures, the new algorithm allows to reconstruct the total energy as well as the spatial energy deposition on the level of individual calorimeter cells. The linearity and the energy resolution of the pion signal in the momentum interval 2GeV/c≤p≤20GeV/c studied in this analysis are considerably improved in comparison to the standard weighting algorithm as practiced presently by the H1 collaboration. Moreover the energy spectra reconstructed with the new method follow in a broad interval a Gaussian distribution and have less pronounced tails. © 2005 Elsevier B.V. All rights reserved.