LCFIPlus: A Framework for Jet Analysis in Linear Collider Studies
Taikan Suehara, Tomohiko Tanabe

TL;DR
This paper discusses advancements in flavor identification tools for jet analysis at future linear colliders, introducing new algorithms and variables that improve performance in simulated detector conditions.
Contribution
It presents novel vertex and jet finding strategies along with discriminating variables, enhancing flavor identification for linear collider experiments.
Findings
New algorithms improve flavor identification accuracy
Successful application in ILC physics simulations
Enhanced jet analysis techniques for linear colliders
Abstract
We report on the progress in flavor identification tools developed for a future linear collider such as the International Linear Collider (ILC) and Compact Linear Collider (CLIC). Building on the work carried out by the LCFIVertex collaboration, we employ new strategies in vertex finding and jet finding, and introduce new discriminating variables for jet flavor identification. We present the performance of the new algorithms in the conditions simulated using a detector concept designed for the ILC. The algorithms have been successfully used in ILC physics simulation studies, such as those presented in the ILC Technical Design Report.
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