Reinterpreting the ATLAS bounds on heavy neutral leptons in a realistic neutrino oscillation model

التفاصيل البيبلوغرافية
العنوان: Reinterpreting the ATLAS bounds on heavy neutral leptons in a realistic neutrino oscillation model
المؤلفون: Tastet, Jean-Loup, Ruchayskiy, Oleg, Timiryasov, Inar
المصدر: JHEP 12 (2021) 182
سنة النشر: 2021
المجموعة: High Energy Physics - Experiment
High Energy Physics - Phenomenology
مصطلحات موضوعية: High Energy Physics - Phenomenology, High Energy Physics - Experiment
الوصف: Heavy neutral leptons (HNLs) are hypothetical particles, motivated in the first place by their ability to explain neutrino oscillations. Experimental searches for HNLs are typically conducted under the assumption of a single HNL mixing with a single neutrino flavor. However, the resulting exclusion limits may not directly constrain the corresponding mixing angles in realistic HNL models -- those which can explain neutrino oscillations. The reinterpretation of the results of these experimental searches turns out to be a non-trivial task, that requires significant knowledge of the details of the experiment. In this work, we perform a reinterpretation of the latest ATLAS search for HNLs decaying promptly to a tri-lepton final state. We show that in a realistic model with two HNLs, the actual limits can vary by several orders of magnitude depending on the free parameters of the model. Marginalizing over the unknown model parameters leads to an exclusion limit on the total mixing angle which can be up to 3 orders of magnitude weaker than the limits reported in arXiv:1905.09787. This demonstrates that the reinterpretation of results from experimental searches is a necessary step to obtain meaningful limits on realistic models. We detail a few steps that can be taken by experimental collaborations in order to simplify the reuse of their results.
Comment: 40 pages, 12 figures, 7 tables, matches the published version
نوع الوثيقة: Working Paper
DOI: 10.1007/JHEP12(2021)182
URL الوصول: http://arxiv.org/abs/2107.12980
رقم الأكسشن: edsarx.2107.12980
قاعدة البيانات: arXiv