Jet performance and pileup mitigation in Run3 in CMS
(2024) ICHEP 2024
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- Abstract
- With the start of Run 3 data taking the standard pileup mitigation technique for the CMS Collaboration is the Pileup Per Particle Identification (PUPPI) algorithm. Recently, the track-vertex association in PUPPI was optimised in order to recover an inefficiency for hadronically decaying 𝜏 leptons at low transverse momentum (𝑝𝑇). The jet energy scale and resolution are sensitive to many different subdetector systems, making continuous monitoring crucial. It is shown that Run 3 promptly reconstructed data have an excellent jet energy resolution performance with respect to Run 2. Furthermore, a flavor-aware 𝑝𝑇-regression was derived and calibrated for the first time in the CMS Collaboration, which is expected to improve the jet energy resolution by up to 18%. Finally, two new algorithms have been developed to identify jets originating from the decay products of heavy particles. The first is a boosted decision tree that identifies hadronically decaying top quarks within variable-size cone jets over a wide 𝑝𝑇 range. The second is a neural network that distinguishes jets initiated by positively charged W bosons from those initiated by negatively charged W bosons.
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Citations
Benecke, A., & CMS Collaboration. (2024). Jet performance and pileup mitigation in Run3 in CMS. PoS - Proceedings of Science, 476(893), 1. https://doi.org/10.22323/1.476.0893 (Original work published 2024)