TL;DR
This paper details the algorithms developed by CMS to reconstruct and identify tau lepton decays to hadrons and neutrinos, demonstrating their performance in LHC Run 1 proton-proton collision data at 8 TeV.
Contribution
It introduces specific algorithms for tau decay reconstruction and identification, with performance metrics evaluated on real collision data from the CMS experiment.
Findings
Identification efficiency of 50-60% for tau decays
Misidentification rates for jets, electrons, and muons are at per mille to percent levels
Algorithms perform reliably in high-energy proton-proton collisions
Abstract
This paper describes the algorithms used by the CMS experiment to reconstruct and identify tau to hadrons + tau neutrino decays during Run 1 of the LHC. The performance of the algorithms is studied in proton-proton collisions recorded at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 19.7 inverse femtobarns. The algorithms achieve an identification efficiency of 50-60%, with misidentification rates for quark and gluon jets, electrons, and muons between per mille and per cent levels.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
