Jet angularities in Z+jet production at the LHC

2021-07-13 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Jet angularities in Z+jet production at the LHC​
Caletti, S.; Fedkevych, O.; Marzani, S.; Reichelt, D.; Schumann, S.; Soyez, G. & Theeuwes, V.​ (2021) 
Journal of High Energy Physics2021(7) art. 76​.​ DOI: https://doi.org/10.1007/JHEP07(2021)076 

Documents & Media

13130_2021_Article_16174.pdf1.42 MBAdobe PDFdocument.pdf1.42 MBAdobe PDF

License

GRO License GRO License

Details

Authors
Caletti, Simone; Fedkevych, Oleh; Marzani, Simone; Reichelt, Daniel; Schumann, Steffen; Soyez, Gregory; Theeuwes, Vincent
Abstract
Abstract We present a phenomenological study of angularities measured on the highest transverse-momentum jet in LHC events that feature the associate production of a Z boson and one or more jets. In particular, we study angularity distributions that are measured on jets with and without the SoftDrop grooming procedure. We begin our analysis exploiting state-of-the-art Monte Carlo parton shower simulations and we quantitatively assess the impact of next-to-leading order (NLO) matching and merging procedures. We then move to analytic resummation and arrive at an all-order expression that features the resummation of large logarithms at next-to-leading logarithmic accuracy (NLL) and is matched to the exact NLO result. Our predictions include the effect of soft emissions at large angles, treated as a power expansion in the jet radius, and non-global logarithms. Furthermore, matching to fixed-order is performed in such a way to ensure what is usually referred to as NLL′ accuracy. Our results account for realistic experimental cuts and can be easily compared to upcoming measurements of jet angularities from the LHC collaborations.
Issue Date
13-July-2021
Publisher
Springer Berlin Heidelberg
Journal
Journal of High Energy Physics 
eISSN
1029-8479
Language
English

Reference

Citations


Social Media