Jet reconstruction in hadronic collisions by Gaussian filtering

Abstract

A new algorithm for jet finding in hadronic collisions is presented. The algorithm, based on a Gaussian filter in $(\eta ,\varphi )$, is specifically intended for use in heavy ion collisions and/or for detectors with limited acceptance. The performance of the algorithm is compared to two conventional algorithms, a seedless cone algorithm and a $k_{\perp }$ algorithm, for Pythia simulated di-jet events in $\sqrt{s}=200\mathrm{GeV}$ $p+p$ collisions with $4\mathrm{GeV}/c\le \sqrt{Q^2}\le 16\mathrm{GeV}/c$. The Gaussian filter is found to perform as well as, and in some instances better than, the conventional algorithms.

6 pages, 7 figures, with vertical scale in Fig. 5, 6 corrected