Modular perspective to the jet suppression from a small to large radius in very high transverse momentum jets

In this work, we expand the scope of the JETSCAPE framework to investigate the dependence of the jet nuclear modification factor, <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:msub><a:mi>R</a:mi><a:mrow><a:mi>A</a:mi><a:mi>A</a:mi></a:mrow></a:msub></a:math>, on the jet radius parameter (<c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mi>R</c:mi></c:math>) for broader area jet cones, going all the way up to <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:mi>R</e:mi><e:mo>=</e:mo><e:mn>1.0</e:mn></e:math>. This study presents a comprehensive analysis of high-<g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"><g:msub><g:mi>p</g:mi><g:mi>T</g:mi></g:msub></g:math> inclusive jets extending up to 1 TeV to probe the quark-gluon plasma medium at much shorter distance scales. It focuses on quenching effects observed in the quark-gluon plasma formed during Pb-Pb collisions at <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"><i:msqrt><i:msub><i:mi>s</i:mi><i:mrow><i:mi>NN</i:mi></i:mrow></i:msub></i:msqrt><i:mo>=</i:mo><i:mn>5.02</i:mn><i:mtext> </i:mtext><i:mtext> </i:mtext><i:mi>TeV</i:mi></i:math>, particularly for the most central (0%–10%) collisions. Jet-medium interactions represent a pivotal domain of both theoretical and experimental quark-gluon plasma studies, with various models offering different assumptions to describe these phenomena. To illustrate this modular approach, this work computes the nuclear modification factor for inclusive jets via coupling of the MATTER model (which simulates the high virtuality phase of the parton evolution) with the Linear Boltzmann Transport (LBT) model (which simulates the low virtuality phase of the parton evolution). Additionally, the two successful energy loss models; MARTINI and AdS/CFT are employed to characterize the jet suppression effectively within the JETSCAPE framework. The results are compared with the experimental data from the ATLAS and CMS detectors, covering jet transverse momentum (<k:math xmlns:k="http://www.w3.org/1998/Math/MathML" display="inline"><k:msub><k:mi>p</k:mi><k:mi>T</k:mi></k:msub></k:math>) ranging from 100 GeV to 1 TeV for ATLAS and 300 GeV to 1 TeV for CMS. The predictions made by the JETSCAPE are consistent in the high <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"><m:msub><m:mi>p</m:mi><m:mi>T</m:mi></m:msub></m:math> range as well as for extreme jet cone sizes, showing deviation within 10%–25%. Our major focus is on calculating the double ratio (<o:math xmlns:o="http://www.w3.org/1998/Math/MathML" display="inline"><o:mrow><o:msubsup><o:mrow><o:mi>R</o:mi></o:mrow><o:mrow><o:mi>AA</o:mi></o:mrow><o:mrow><o:mi mathvariant="normal">R</o:mi></o:mrow></o:msubsup><o:mo>/</o:mo><o:msubsup><o:mrow><o:mi>R</o:mi></o:mrow><o:mrow><o:mi>AA</o:mi></o:mrow><o:mrow><o:mi mathvariant="normal">R</o:mi><o:mo>=</o:mo><o:mi>small</o:mi></o:mrow></o:msubsup></o:mrow></o:math>) as a function of jet-R and jet-<s:math xmlns:s="http://www.w3.org/1998/Math/MathML" display="inline"><s:msub><s:mi>p</s:mi><s:mi>T</s:mi></s:msub></s:math>, where the experimental results align well with predictions from the JETSCAPE framework, which incorporates the multistage evolution of the parton shower and energy loss models.

Authors

Institutions

Publication Details

Journal
Physical review. D/Physical review. D.
Published
2025-05-22
DOI
https://doi.org/10.1103/3lk7-sbp3
Primary Topic
Aerodynamics and Acoustics in Jet Flows
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modular perspective to the jet suppression from a small to large radius in very high transverse momentum jets

Karl J. Friston
Physical review. D/Physical review. D.
Aerodynamics and Acoustics in Jet Flows
article

Modular perspective to the jet suppression from a small to large radius in very high transverse momentum jets

Karl J. Friston
article en

Abstract

In this work, we expand the scope of the JETSCAPE framework to investigate the dependence of the jet nuclear modification factor, <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:msub><a:mi>R</a:mi><a:mrow><a:mi>A</a:mi><a:mi>A</a:mi></a:mrow></a:msub></a:math>, on the jet radius parameter (<c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mi>R</c:mi></c:math>) for broader area jet cones, going all the way up to <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:mi>R</e:mi><e:mo>=</e:mo><e:mn>1.0</e:mn></e:math>. This study presents a comprehensive analysis of high-<g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"><g:msub><g:mi>p</g:mi><g:mi>T</g:mi></g:msub></g:math> inclusive jets extending up to 1 TeV to probe the quark-gluon plasma medium at much shorter distance scales. It focuses on quenching effects observed in the quark-gluon plasma formed during Pb-Pb collisions at <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"><i:msqrt><i:msub><i:mi>s</i:mi><i:mrow><i:mi>NN</i:mi></i:mrow></i:msub></i:msqrt><i:mo>=</i:mo><i:mn>5.02</i:mn><i:mtext> </i:mtext><i:mtext> </i:mtext><i:mi>TeV</i:mi></i:math>, particularly for the most central (0%–10%) collisions. Jet-medium interactions represent a pivotal domain of both theoretical and experimental quark-gluon plasma studies, with various models offering different assumptions to describe these phenomena. To illustrate this modular approach, this work computes the nuclear modification factor for inclusive jets via coupling of the MATTER model (which simulates the high virtuality phase of the parton evolution) with the Linear Boltzmann Transport (LBT) model (which simulates the low virtuality phase of the parton evolution). Additionally, the two successful energy loss models; MARTINI and AdS/CFT are employed to characterize the jet suppression effectively within the JETSCAPE framework. The results are compared with the experimental data from the ATLAS and CMS detectors, covering jet transverse momentum (<k:math xmlns:k="http://www.w3.org/1998/Math/MathML" display="inline"><k:msub><k:mi>p</k:mi><k:mi>T</k:mi></k:msub></k:math>) ranging from 100 GeV to 1 TeV for ATLAS and 300 GeV to 1 TeV for CMS. The predictions made by the JETSCAPE are consistent in the high <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"><m:msub><m:mi>p</m:mi><m:mi>T</m:mi></m:msub></m:math> range as well as for extreme jet cone sizes, showing deviation within 10%–25%. Our major focus is on calculating the double ratio (<o:math xmlns:o="http://www.w3.org/1998/Math/MathML" display="inline"><o:mrow><o:msubsup><o:mrow><o:mi>R</o:mi></o:mrow><o:mrow><o:mi>AA</o:mi></o:mrow><o:mrow><o:mi mathvariant="normal">R</o:mi></o:mrow></o:msubsup><o:mo>/</o:mo><o:msubsup><o:mrow><o:mi>R</o:mi></o:mrow><o:mrow><o:mi>AA</o:mi></o:mrow><o:mrow><o:mi mathvariant="normal">R</o:mi><o:mo>=</o:mo><o:mi>small</o:mi></o:mrow></o:msubsup></o:mrow></o:math>) as a function of jet-R and jet-<s:math xmlns:s="http://www.w3.org/1998/Math/MathML" display="inline"><s:msub><s:mi>p</s:mi><s:mi>T</s:mi></s:msub></s:math>, where the experimental results align well with predictions from the JETSCAPE framework, which incorporates the multistage evolution of the parton shower and energy loss models.

Physical review. D/Physical review. D.Vol. 111(11)
G.S. Science, Arts And Commerce College (IN), Birla Institute of Technology and Science, Pilani - Goa Campus (IN)
Affordable and clean energy
Openalex Percentile: Top 85%
Aerodynamics and Acoustics in Jet Flows
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.