Event-by-Event Simulations of Jet Modification Using the MATTER Event Generator

Abhijit Majumder; Michael Kordell II

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Event-by-Event Simulations of Jet Modification Using the MATTER Event Generator

Michael Kordell II, Abhijit Majumder

Nuclear Theory · Submitted 20 Feb 2017

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The modification of hard jets in the Quark Gluon Plasma (QGP) is studied using the MATTER event generator.

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arXiv ID1702.05862 (version 2)

Pith ID32J7BM55, Pith's permanent record of this paper and its review

CitationAbhijit Majumder, Michael Kordell II. "Event-by-Event Simulations of Jet Modification Using the MATTER Event Generator." arXiv:1702.05862 (2017). https://pith.science/paper/32J7BM55

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What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.10 · human participants 0.01 · controlled comparison 0.18 · randomized assignment 0.01 · states quantitative result 0.05 · compares with prior results 0.39 · mentions code or data availability 0.03.

The abstract, sentence by sentence

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The modification of hard jets in the Quark Gluon Plasma (QGP) is studied using the MATTER event generator. Based on the higher twist formalism of energy loss, the MATTER event generator simulates the evolution of highly virtual partons through a medium. These partons sampled from an underlying PYTHIA kernel undergo splitting through a combination of vacuum and medium induced emission. The momentum exchange with the medium is simulated via the jet transport coefficient $\hat{q}$, which is assumed to scale with the entropy density at a given location in the medium. The entropy density is obtained from a relativistic viscous fluid dynamics simulation (VISH2+1D) in 2+1 space time dimensions. Results for jet and hadron observables are presented using an independent fragmentation model. These proceedings will focus on the physics input and simulation details of the MATTER event generator as compared to a variety of test observables.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	The modification of hard jets in the Quark Gluon Plasma (QGP) is studied using the MATTER event generator.	contribution 0.87	0.83	0.07	asserted 1.00
s1	Based on the higher twist formalism of energy loss, the MATTER event generator simulates the evolution of highly virtual partons through a medium.	method 0.99	0.53	0.04	asserted 1.00
s2	These partons sampled from an underlying PYTHIA kernel undergo splitting through a combination of vacuum and medium induced emission.	method 1.00	0.53	0.03	asserted 1.00
s3	The momentum exchange with the medium is simulated via the jet transport coefficient $\hat{q}$, which is assumed to scale with the entropy density at a given location in the medium.	method 1.00	0.63	0.05	asserted 0.98
s4	The entropy density is obtained from a relativistic viscous fluid dynamics simulation (VISH2+1D) in 2+1 space time dimensions.	method 1.00	0.53	0.03	asserted 1.00
s5	Results for jet and hadron observables are presented using an independent fragmentation model.	method 0.74	0.80	0.05	asserted 0.99
s6	These proceedings will focus on the physics input and simulation details of the MATTER event generator as compared to a variety of test observables.	contribution 0.62	0.36	0.04	asserted 0.89

What kind of paper the classifier reports this is: simulation study 0.83 · evidence from simulation or computation 1.00.

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arXiv listing abstract v2

not examined

full text
figures and tables
references and citing sentences
relations to other papers

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper

Original abstract

The modification of hard jets in the Quark Gluon Plasma (QGP) is studied using the MATTER event generator. Based on the higher twist formalism of energy loss, the MATTER event generator simulates the evolution of highly virtual partons through a medium. These partons sampled from an underlying PYTHIA kernel undergo splitting through a combination of vacuum and medium induced emission. The momentum exchange with the medium is simulated via the jet transport coefficient $\hat{q}$, which is assumed to scale with the entropy density at a given location in the medium. The entropy density is obtained from a relativistic viscous fluid dynamics simulation (VISH2+1D) in 2+1 space time dimensions. Results for jet and hadron observables are presented using an independent fragmentation model. These proceedings will focus on the physics input and simulation details of the MATTER event generator as compared to a variety of test observables.

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References

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Determining the jet transport coefficient $\hat{q}$ from inclusive hadron suppression measurements using Bayesian parameter estimation
nucl-th 2021-02 conditional novelty 6.0 of 10

Bayesian fitting of the MATTER and LBT jet-quenching models to RHIC and LHC hadron suppression data gives q-hat/T^3 = 2 to 4 (90% CR) for jets above 40 GeV/c, and a MATTER-to-LBT switching virtuality Q0 of 2.0 to 2.7 GeV.
Multistage Monte-Carlo simulation of jet modification in a static medium
nucl-th 2017-04 conditional novelty 6.0 of 10

Coupling a virtuality-ordered parton shower (MATTER) to time-ordered transport models (MARTINI, LBT) at a separation scale Q0 produces jet energy distributions that differ qualitatively from any single generator, incl...
Nuclear modification of leading hadrons and jets within a virtuality ordered parton shower
nucl-th 2017-12 conditional novelty 4.0 of 10

Coupling a virtuality-ordered parton shower with medium-modified splitting functions to a hydrodynamic plasma reproduces the nuclear suppression of high-momentum hadrons and jets at RHIC and the LHC with one tuned tra...
Exploring QCD matter in extreme conditions with Machine Learning
hep-ph 2023-03 accept novelty 2.0 of 10

A review that organizes machine-learning applications in high energy nuclear physics into data-driven and physics-driven camps, and argues that embedding physical symmetries and constraints into networks is where the ...

How the literature uses it

4 arXiv papers cite this in 4 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 1 sentence without a confident label

Uses its method or tool 3 papers

The Modular All Twist Transverse-scattering Elastic-drag and Radiation () model [ref] simulates the splitting of highly virtual partons, i.e. jet partons whose virtuality is much larger than the multiple-scattering scale of the medium it probes ($∼√(E)$), where $E$ is the parton energy.

Determining the jet transport coefficient $\hat{q}$ from inclusive hadron suppression measurements using Bayesian parameter estimation · Jet-medium interaction at high virtuality: MATTER · 0.89
Modular All Twist Transverse-scattering Elastic-drag and Radiation (Matter) event generator [ref] .

Nuclear modification of leading hadrons and jets within a virtuality ordered parton shower · Introduction · 0.84
For example, JETSCAPE uses MATTER [ref] to simulate the parton splitting at early times when the parton $a$ is highly virtual, it uses LBT [ref] , MARTINI [ref] , or AdS/CFT [ref] to simulate the interactions between medium and hard partons with low virtuality.

Exploring QCD matter in extreme conditions with Machine Learning · “Standard Model” of Simulating HICs · 0.92

What it cites · 3 sentences without a confident label

Uses the method or tool of 7 papers

The jet quenching portion of the simulation was performed with the MATTER++ (Modular All Twist Transverse scattering based Energy-loss Routines in C++) event generator [ref] .

Incorporating Space-Time Within Medium-Modified Jet Event Generators · The MATTER Event Generator · 1.00
The event generator we present in this discussion is based on the Higher-Twist scheme [ref] [ref] [ref] [ref] .

Hard collinear gluon radiation and multiple scattering in a medium · Introduction · 0.93
The event generator we present in this discussion is based on the Higher-Twist scheme [ref] [ref] [ref] [ref] .

The theory and phenomenology of perturbative QCD based jet quenching · Introduction · 0.93

Cites as background 8 papers

where $q̂$ is the jet transport coefficient [ref] [ref] .

Calculating the Jet Quenching Parameter $\hat{q}$ in Lattice Gauge Theory · The MATTER Event Generator · 0.86
There are several other preexisting simulations; Q-PYTHIA [ref] which is based on the Armesto-Salgado-Wiedemann (ASW) scheme [ref] and MARTINI [ref] which is based on the Arnold-Moore-Yaffe (AMY) scheme [ref] .

MARTINI: An event generator for relativistic heavy-ion collisions · Introduction · 0.92
There are several other preexisting simulations; Q-PYTHIA [ref] which is based on the Armesto-Salgado-Wiedemann (ASW) scheme [ref] and MARTINI [ref] which is based on the Arnold-Moore-Yaffe (AMY) scheme [ref] .

Q-PYTHIA: a medium-modified implementation of final state radiation · Introduction · 0.92

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