Algorithm for jet identification and reconstruction in densly populated calorimetric system

The jet reconstruction algorithm is developed under the condition of high particle density in the calorimetric system. The performance of reconstruction of hard QCD jets with initial parton energies 50-300 GeV is studied in central Pb--Pb collisions with a modified cone jet finder which includes an algorithm for event-by-event background subtraction. The heavy ion background is simulated using the HIJING Monte-Carlo generator with dNch/dy = 5000. Results on the achieved jet reconstruction efficiency, purity, energy and spatial resolution are presented.