Dynamic radius jet clustering algorithm

A bstract The study of standard QCD jets produced along with fat jets, which may appear as a result of the decay of a heavy particle, has become an essential part of collider studies. Current jet clustering algorithms, which use a fixed radius parameter for the formation of jets from the hadrons of...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:The journal of high energy physics Ročník 2023; číslo 4; s. 19 - 32
Hlavní autoři: Mukhopadhyaya, Biswarup, Samui, Tousik, Singh, Ritesh K.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 04.04.2023
Springer Nature B.V
SpringerOpen
Témata:
Algorithms
Classical and Quantum Gravitation
Clustering
Elementary Particles
Hadrons
High energy physics
Jets
Jets and Jet Substructure
Kinematics
Large Hadron Collider
Particle decay
Physics
Physics and Astronomy
Quantum Field Theories
Quantum Field Theory
Quantum Physics
Quarks
Regular Article - Theoretical Physics
Relativity Theory
String Theory
Vector-Like Fermions
Vector-Like Fermions
Jets and Jet Substructure
ISSN:1029-8479, 1029-8479
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:A bstract The study of standard QCD jets produced along with fat jets, which may appear as a result of the decay of a heavy particle, has become an essential part of collider studies. Current jet clustering algorithms, which use a fixed radius parameter for the formation of jets from the hadrons of an event, may be inadequate to capture the differing radius features. In this work, we develop an alternative jet clustering algorithm that allows the radius to vary dynamically based on local kinematics and distribution in the η - ϕ plane inside each evolving jet. We present the usefulness of this dynamic radius clustering algorithm through two Standard Model processes, and thereafter illustrate it for a scenario beyond the Standard Model at the 13 TeV LHC.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1029-8479
1029-8479
DOI:10.1007/JHEP04(2023)019