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...
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| Vydáno v: | The journal of high energy physics Ročník 2023; číslo 4; s. 19 - 32 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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04.04.2023
Springer Nature B.V SpringerOpen |
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| ISSN: | 1029-8479, 1029-8479 |
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| Abstract | 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. |
|---|---|
| AbstractList | Abstract 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. 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. 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. 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. |
| ArticleNumber | 19 |
| Author | Samui, Tousik Singh, Ritesh K. Mukhopadhyaya, Biswarup |
| Author_xml | – sequence: 1 givenname: Biswarup surname: Mukhopadhyaya fullname: Mukhopadhyaya, Biswarup organization: Department of Physical Sciences, Indian Institute of Science Education and Research Kolkata – sequence: 2 givenname: Tousik orcidid: 0000-0002-1485-6155 surname: Samui fullname: Samui, Tousik email: tousiksamui@gmail.com organization: Department of Physical Sciences, Indian Institute of Science Education and Research Kolkata – sequence: 3 givenname: Ritesh K. surname: Singh fullname: Singh, Ritesh K. organization: Department of Physical Sciences, Indian Institute of Science Education and Research Kolkata |
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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... 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... Abstract 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... |
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| SubjectTerms | 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 |
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| Title | Dynamic radius jet clustering algorithm |
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