Sequential recombination algorithm for jet clustering and background subtraction
Jeff Tseng, Hannah Evans

TL;DR
This paper introduces a new sequential recombination algorithm for jet clustering that simultaneously reconstructs jets and subtracts background, showing comparable robustness to existing methods in Monte Carlo simulations.
Contribution
The paper presents a novel jet clustering algorithm that integrates background subtraction into the reconstruction process, enhancing robustness against collision backgrounds.
Findings
Robustness against collision backgrounds is comparable to existing algorithms.
The new algorithm effectively combines jet reconstruction and background subtraction.
Monte Carlo comparisons validate the algorithm's performance.
Abstract
We investigate a new sequential recombination algorithm which effectively subtracts background as it reconstructs the jet. We examine the new algorithm's behavior in light of existing algorithms, and we find that in Monte Carlo comparisons, the new algorithm's robustness against collision backgrounds is comparable to that of other jet algorithms when the latter have been augmented by further background subtraction techniques.
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