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A simulation study of energy resolution, position resolution, and$\pi^0$-$\gamma$ separation using multivariate methods of a samplingcalorimeter is presented. As a realistic example, the geometry of thecalorimeter is taken from the design geometry of the Shashlik calorimeter whichwas considered as a candidate for CMS endcap for the phase II of LHC running.The methods proposed in this paper can be easily adapted to various geometricallayouts of a sampling calorimeter. Energy resolution is studied for differentlayouts and different absorber-scintillator combinations of the Shashlikdetector. It is shown that a boosted decision tree using fine grainedinformation of the calorimeter can perform three times better than a cut-basedmethod for separation of $\pi^0$ from $\gamma$ over a large energy range of 20GeV-200 GeV.

journal of instrumentation

Simulation study of energy resolution, position resolution and  $\pi^0$-$\gamma$ separation of a sampling electromagnetic calorimeter at high  energies