Comparisons of new jet clustering algorithms for hadron-hadron collisions

We investigate a modification of the $k_{\perp }$-clustering jet algorithm for hadron-hadron collisions, analogous to the “Cambridge” algorithm recently proposed for $e^{+}{e}^{-}$ annihilation in which pairs of objects that are close in angle are combined preferentially. This has the effect of building jets from the inside out, with the aim of reducing the amount of the underlying event incorporated into them. We also investigate a second modification that involves using a new separation measure. Monte Carlo studies suggest that the standard $k_{\perp }$ algorithm performs as well as either of these modified algorithms with respect to hadronization corrections and reconstruction of the mass of a Higgs boson decaying to $b\overline{b}.$