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Recent jet and jet substructure measurements at the LHC, and ML based tagging
by Meena Meena
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Submission summary
| Authors (as registered SciPost users): | Meena Meena |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2111.00414v2 (pdf) |
| Date accepted: | 2022-03-04 |
| Date submitted: | 2022-02-11 13:57 |
| Submitted by: | Meena, Meena |
| Submitted to: | SciPost Physics Proceedings |
| Proceedings issue: | 50th International Symposium on Multiparticle Dynamics (ISMD2021) |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approach: | Experimental |
Abstract
Recent jet and jet substructure measurements at the LHC, and of machine-learning-based tagging techniques are presented using proton-proton collision data collected by the ATLAS and CMS experiments at CERN's Large Hadron Collider. These measurements are crucial for precise tests of electroweak and pQCD calculations and searches for physics beyond the Standard Model. The measurements are compared with several Monte Carlo event generator predictions which provide valuable input to the tuning of perturbative and non-perturbative models and to constraining model parameters of advanced parton-shower Monte Carlo programs.
Published as SciPost Phys. Proc. 10, 022 (2022)