Professor Silvia Pascoli silvia.pascoli@durham.ac.uk
Visiting Professor
Heavy neutrinos with dynamic jet vetoes: multilepton searches at √s = 14, 27, and 100 TeV
Pascoli, Silvia; Ruiz, Richard; Weiland, Cedric
Authors
Richard Ruiz
Cedric Weiland
Abstract
Heavy neutrinos (N) remain one of most promising explanations for the ori-gin of neutrinos’ tiny masses and large mixing angles. In light of broad advances in un-derstanding and modeling of hadron collisions at large momentum transfers, we revisit the long-standard search strategy for heavy N decaying to multiple charged leptons (ℓ), pp → NℓX → 3ℓνX. For electroweak and TeV-scale N, we propose a qualitatively new collider analysis premised on a dynamic jet veto and discriminating, on an event-by-event basis, according to the relative amount of hadronic and leptonic activity. We report that the sensitivity to heavy neutrinos at the CERN Large Hadron Collider (LHC) can be improved by roughly an order of magnitude at both ℒ = 300 fb−1 and 3 ab−1. At s√=14 TeV with ℒ = 3 ab−1, we find active-sterile mixing as small as |VℓN|2 = 10− 2(10− 3) [5 × 10− 4] can be probed at 95% CL for heavy Dirac neutrinos masses mN ≲ 1200 (300) [200] GeV, well beyond the present |VℓN|2 ≲ 10− 3 − 10− 1 constraints for such heavy states set by indirect searches and precision measurements. The improvement holds also for Majorana N, and is largely independent of whether charged lepton flavor is conserved or violated. The analysis, built almost entirely from inclusive, transverse observables, is designed to be robust across increasing collider energies, and hence serves as a basis for searches at future colliders: with ℒ = 15ab− 1 at s√=27 TeV,onecanprobemixingbelow |VℓN|2 = 10− 2(10− 3)[2 × 10− 4] for mN ≲ 3500 (700) [200] GeV. At a hypothetical 100 TeV pp collider with ℒ = 30 ab− 1, one can probe mixing down to 9 × 10−5 for mN ≲ 200 GeV, below 10−3 for mN ≲ 4 TeV, and below 10−2 for mN ≲ 15 TeV. We anticipate these results can be further improved with detector-specific tuning and application of multi-variant / machines learning techniques. To facilitate such investigations, we make publicly available Monte Carlo libraries needed for the precision computations/simulations used in our study.
Journal Article Type | Article |
---|---|
Acceptance Date | May 21, 2019 |
Online Publication Date | Jun 13, 2019 |
Publication Date | Jun 30, 2019 |
Deposit Date | Jul 3, 2019 |
Publicly Available Date | Jul 3, 2019 |
Journal | Journal of High Energy Physics |
Print ISSN | 1126-6708 |
Publisher | Scuola Internazionale Superiore di Studi Avanzati (SISSA) |
Peer Reviewed | Peer Reviewed |
Volume | 2019 |
Issue | 6 |
Article Number | 49 |
DOI | https://doi.org/10.1007/jhep06%282019%29049 |
Public URL | https://durham-repository.worktribe.com/output/1298410 |
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Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.
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