A simple merging algorithm for jet angular correlation studies
A tree level merging algorithm which guarantees the leading order (LO) accuracy of angular correlations among jets is proposed and studied. The algorithm is designed so that n-jet events are generated exclusively according to the LO n-parton production cross section and each of the n jets is close to each of the n partons in terms of the jet measure. As a result, the kinematics of each of the n jets strictly follows that of each of the n partons and the LO accuracy of angular correlations among the n jets is preserved. The validity of the method as a merging algorithm is confirmed by comparing it against existing merging algorithms for several observables in the top quark pair production. Correlations in the azimuthal angle difference between the two highest transverse momentum jets with large rapidity separations are evaluated as examples.
KeywordsMonte Carlo Simulations Jets
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