دورية أكاديمية

Searches for new physics with boosted top quarks in the MadAnalysis 5 and Rivet frameworks

التفاصيل البيبلوغرافية
العنوان: Searches for new physics with boosted top quarks in the MadAnalysis 5 and Rivet frameworks
المؤلفون: Jack Y. Araz, Andy Buckley, Benjamin Fuks
المصدر: European Physical Journal C: Particles and Fields, Vol 83, Iss 7, Pp 1-17 (2023)
بيانات النشر: SpringerOpen, 2023.
سنة النشر: 2023
المجموعة: LCC:Astrophysics
LCC:Nuclear and particle physics. Atomic energy. Radioactivity
مصطلحات موضوعية: Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
الوصف: Abstract High-momentum top quarks are a natural physical system in collider experiments for testing models of new physics, and jet substructure methods are key both to exploiting their largest decay mode and to assuaging resolution difficulties as the boosted system becomes increasingly collimated in the detector. To be used in new-physics interpretation studies, it is crucial that related methods get implemented in analysis frameworks allowing for the reinterpretation of the results of the LHC such as MadAnalysis 5 and Rivet. We describe the implementation of the HEPTopTagger algorithm in these two frameworks, and we exemplify the usage of the resulting functionalities to explore the sensitivity of boosted top reconstruction performance to new physics contributions from the Standard Model Effective Field Theory. The results of this study lead to important conclusions about the implicit assumption of Standard-Model-like top quark decays in associated collider analyses, and for the prospects to constrain the Standard Model Effective Field Theory via kinematic observables built from boosted semi-leptonic $$t\bar{t}$$ t t ¯ events selected using HEPTopTagger.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1434-6052
Relation: https://doaj.org/toc/1434-6052
DOI: 10.1140/epjc/s10052-023-11779-2
URL الوصول: https://doaj.org/article/73954d418d454c208862b5aebc79d902
رقم الأكسشن: edsdoj.73954d418d454c208862b5aebc79d902
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14346052
DOI:10.1140/epjc/s10052-023-11779-2