A5075183721- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Gamma-ray bursts and supernovae
- Laser-Plasma Interactions and Diagnostics
- Magnetic confinement fusion research
- demographic modeling and climate adaptation
- Granular flow and fluidized beds
- Nuclear physics research studies
- Electron and X-Ray Spectroscopy Techniques
- Data Analysis with R
- Markov Chains and Monte Carlo Methods
- Plasma and Flow Control in Aerodynamics
- Particle Dynamics in Fluid Flows
University of Tennessee at Knoxville
2020-2025
Seascape Consultants (United Kingdom)
2022-2023
Akita International University
2022
We present a new study of jet interactions in the quark-gluon plasma created high-energy heavy-ion collisions, using multistage event generator within jetscape framework. focus on medium-induced modifications rate inclusive jets and high transverse momentum (high-${p}_{\mathrm{T}}$) hadrons. Scattering-induced energy loss is calculated two stages: virtuality stage based matter model, which scattering highly virtual partons modifies vacuum radiation pattern, second at lower lbt leading gain...
We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution at high virtuality, and (linearized) Boltzmann transport formalism lower virtuality. This simulation is then calibrated in comparison high-<a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:msub><a:mi>p</a:mi><a:mi>T</a:mi></a:msub></a:math> charged hadrons, <b:math...
The Collaboration reports a new determination of the jet transport parameter <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mover accent="true"><a:mi>q</a:mi><a:mo>̂</a:mo></a:mover></a:math> in quark-gluon plasma (QGP) using Bayesian inference, incorporating all available inclusive hadron and yield suppression data measured heavy-ion collisions at BNL Relativistic Heavy Ion Collider (RHIC) CERN Large Hadron (LHC). This multi-observable analysis extends previously published...
Understanding the modification of jets and high-$p_T$ probes in small systems requires integration soft hard physics. We present recent developments extending JETSCAPE framework to build an event generator, which includes correlations between partons, study jet observables systems. The multi-scale physics collision is separated into different stages. Hard scatterings are first sampled at binary positions provided by Glauber geometry. They then propagated backward space-time following...
QCD jets are considered important probes for quark gluon plasma created in collisions of nuclei at high energies. Their parton showers significantly altered if they develop inside a deconfined medium. Hadronization is also thought to be affected by the presence quarks and gluons. We present systematic study effects thermal bath partons on hadronization showers. use JETSCAPE framework create both vacuum brick plasma. The setup allows parameters, like size as well collective flow partons,...
Parton energy-momentum exchange with the quark gluon plasma (QGP) is a multi-scale problem. In this work, we calculate interaction of charm quarks QGP within higher twist formalism at high virtuality and energy using MATTER model, while low portion treated via (linearized) Boltzmann Transport (LBT) formalism. Coherence effect that reduces medium-induced emission rate in model also taken into account. The interplay between these two formalisms studied detail used to produce good description...
We present predictions and postdictions for a wide variety of hard jet-substructure observables using multistage model within the framework. The details various parameter choices are described in []. A novel feature this is presence two stages jet modification: high-virtuality phase [modeled modular all twist transverse-scattering elastic-drag radiation ()], where modified coherence effects diminish medium-induced radiation, lower virtuality linear Boltzmann transport parton splits fully...
We use a Bayesian-calibrated multistage viscous hydrodynamic model to explore deuteron yield, mean transverse momentum and flow observables in LHC Pb-Pb collisions. theoretical uncertainty the production of deuterons, including (i) contribution thermal (ii) models for subsequent formation deuterons (hadronic transport vs coalescence) (iii) overall sensitivity results -- particular bulk viscosity, which is often neglected studies production. Using physical parameters set by comparison only...
In this talk we review jet production in a large variety of collision systems using the JETSCAPE event generator and Hybrid Hadronization. Hadronization combines quark recombination, applicable when distances between partons phase space are small, string fragmentation appropriate for dilute parton systems. It can therefore smoothly describe transition from very like $e^++𝑒^−$ to full $𝐴 + 𝐴$ collisions. We test picture by generate jets various Comparison experimental data $𝑝 𝑝$ collisions...
Jet measurements in heavy ion collisions can provide constraints on the properties of quark gluon plasma, but kinematic reach is limited by a large, fluctuating background. We present novel application symbolic regression to extract functional representation deep neural network trained subtract background from jets collisions. show that approximately same as method using particle multiplicity jet. This demonstrates interpretable machine learning methods insight into underlying physical processes.
Considerable information about the early-stage dynamics of heavy-ion collisions is encoded in rapidity dependence measurements. To leverage large amount experimental data, we perform a systematic analysis using three-dimensional hydrodynamic simulations multiple collision systems -- and small, symmetric asymmetric. Specifically, fully 3D multi-stage initialized by parameterized model for rapidity-dependent energy deposition, which calibrate on hadron multiplicity anisotropic flow...
We utilize event-by-event Monte Carlo simulations within the JETSCAPE framework to examine scale-dependent jet-medium interactions in heavy-ion collisions. The reduction interaction during early high-virtuality stage, where medium is resolved at a short distance scale, emphasized as key element explaining multiple jet observables, particularly substructures, simultaneously. By employing MATTER+LBT setup, which incorporates this explicit of effects high virtuality, we investigate substructure...
Shower development dynamics for a jet traveling through the quark-gluon plasma (QGP) is multiscale process, where heavy flavor mass an important scale. During high virtuality portion of evolution in QGP, emission gluons from modified owing to quark mass. Medium-induced radiation sensitive microscopic processes (e.g. diffusion), whose dependence phenomenologically explored this study. In lower part shower evolution, i.e. when comparable parton, scattering and quarks differ light quarks. The...
The JETSCAPE Collaboration reports a new determination of the jet transport parameter $\hat{q}$ in Quark-Gluon Plasma (QGP) using Bayesian Inference, incorporating all available inclusive hadron and yield suppression data measured heavy-ion collisions at RHIC LHC. This multi-observable analysis extends previously published Inference $\hat{q}$, which was based solely on selection data. is modular framework detailed dynamical models QGP formation evolution, propagation interaction QGP....
Jet measurements in heavy ion collisions can provide constraints on the properties of quark gluon plasma, but kinematic reach is limited by a large, fluctuating background. We present novel application symbolic regression to extract functional representation deep neural network trained subtract background for jets relativistic collisions. show that approximately same as method using particle multiplicity jet. This demonstrates interpretable machine learning methods insight into underlying...
The JETSCAPE Collaboration reports the first multi-messenger study of QGP jet transport parameter $\hat{q}$ using Bayesian inference, incorporating all available hadron and inclusive yield substructure data from RHIC LHC. theoretical model utilizes virtuality-dependent in-medium partonic energy loss coupled to a detailed dynamical evolution. Tension is observed when constraining for different kinematic cuts data. addition shown improve constraint on $\hat{q}$, without inducing tension with...
Prompt photons are created in the early stages of heavy ion collisions and traverse QGP medium without any interaction. Therefore, photon-triggered jets can be used to study jet quenching medium. In this work, studied through different substructure observables for collision systems energies using JETSCAPE framework. Since multistage evolution framework is adequate describe a wide range experimental simultaneously same parameter tune, we use parameters tuned leading hadron studies. The...
Jet measurements in heavy ion collisions at low jet momentum can provide constraints on the properties of quark gluon plasma but are overwhelmed by a significant, fluctuating background. We build upon our previous work which demonstrated ability multiplicity method to extend into domain [1, Mengel:2023]. this wide range resolution parameters. investigate over-complexity non-interpretable machine learning used tackle problem background subtraction through network optimization. Finally, we...
An investigation of high transverse momentum (high-$p_T$) photon triggered jets in proton-proton ($p$-$p$) and ion-ion ($A$-$A$) collisions at $\sqrt{s_{NN}} = 0.2$ $5.02~\mathrm{TeV}$ is carried out, using the multistage description in-medium jet evolution. Monte Carlo simulations hard scattering energy loss heavy-ion are performed parameters tuned a previous study nuclear modification factor ($R_{AA}$) for inclusive high-$p_T$ hadrons. We obtain good reproduction experimental data...
We present a new study of jet interactions in the quark-gluon plasma created high-energy heavy-ion collisions, using multistage event generator within JETSCAPE framework. focus on medium-induced modifications rate inclusive jets and high transverse momentum (high-$p_{\mathrm{T}}$) hadrons. Scattering-induced energy loss is calculated two stages: A virtuality stage based MATTER model, which scattering highly virtual partons modifies vacuum radiation pattern, second at lower LBT leading gain...
Parton energy-momentum exchange with the quark gluon plasma (QGP) is a multi-scale problem. In this work, we calculate interaction of charm quarks QGP within higher twist formalism at high virtuality and energy using MATTER model, while low portion treated via (linearized) Boltzmann Transport (LBT) formalism. Coherence effect that reduces medium-induced emission rate in model also taken into account. The interplay between these two formalisms studied detail used to produce good description...
We present predictions and postdictions for a wide variety of hard jet-substructure observables using multi-stage model within the JETSCAPE framework. The details various parameter choices are described in [A. Kumar et al., arXiv:2204.01163]. A novel feature this is presence two stages jet modification: high virtuality phase (modeled MATTER), where coherence effects diminish medium-induced radiation, lower LBT), parton splits fully resolved by medium as they endure multiple scattering...
We utilize event-by-event Monte Carlo simulations within the JETSCAPE framework to examine scale-dependent jet-medium interactions in heavy-ion collisions. The reduction interaction during early high-virtuality stage, where medium is resolved at a short distance scale, emphasized as key element explaining multiple jet observables, particularly substructures, simultaneously. By employing MATTER+LBT setup, which incorporates this explicit of effects high virtuality, we investigate substructure...
We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium DGLAP evolution at high virtuality, and (linearized) Boltzmann Transport formalism lower virtuality. This simulation is then calibrated in comparison $p_T$ charged hadrons, D-mesons, inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract virtuality-dependent transverse momentum broadening transport coefficient $\hat{q}$. To...
Shower development dynamics for a jet traveling through the quark-gluon plasma (QGP) is multiscale process, where heavy flavor mass an important scale. During high virtuality portion of evolution in QGP, emission gluons from modified owing to quark mass. Medium-induced radiation sensitive microscopic processes (e.g. diffusion), whose dependence phenomenologically explored this study. In lower part shower evolution, i.e. when comparable parton, scattering and quarks differ light quarks. The...