activity
20132023
most citedIdentifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning

62 citations · 254 across the 16 of their papers we have counts for

collaborators
Showing hep-phShow all

14 papers · 1 filter

hep-ph2023

Overview: Jet quenching with machine learning

Yi-Lun Du

Jets are suppressed and modified in heavy ion collisions, which serve as powerful probes to the properties of the quark-gluon plasma (QGP). Attributed to the abundant information c…

hep-ph2021★ 5 cited

Classification of quark and gluon jets in hot QCD medium with deep learning

Yi-Lun Du, Daniel Pablos, Konrad Tywoniuk

Deep learning techniques have shown the capability to identify the degree of energy loss of high-energy jets traversing hot QCD medium on a jet-by-jet basis. The average amount of…

hep-ph2021

Jet tomography in hot QCD medium with deep learning

Yi-Lun Du, Daniel Pablos, Konrad Tywoniuk

With deep learning techniques, the degree of modification of energetic jets that traversed hot QCD medium can be identified on a jet-by-jet basis. Due to the strong correlations be…

hep-ph2021★ 34 cited

Jet tomography in heavy ion collisions with deep learning

Yi-Lun Du, Daniel Pablos, Konrad Tywoniuk

Deep learning techniques have the power to identify the degree of modification of high energy jets traversing deconfined QCD matter on a jet-by-jet basis. Such knowledge allows us…

hep-ph2020★ 36 cited

Deep learning jet modifications in heavy-ion collisions

Yi-Lun Du, Daniel Pablos, Konrad Tywoniuk

Jet interactions in a hot QCD medium created in heavy-ion collisions are conventionally assessed by measuring the modification of the distributions of jet observables with respect…

hep-ph2020

Heavy quark radiative energy loss in nuclei within the improved high-twist approach

Yi-Lun Du

In this proceedings, we review our recent work on the heavy quark radiative energy loss in nuclei due to multiple parton scattering within the recently improved high-twist approach…

hep-ph2019★ 62 cited

Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning

Yi-Lun Du, Kai Zhou, Jan Steinheimer +5

Using deep convolutional neural network (CNN), the nature of the QCD transition can be identified from the final-state pion spectra from hybrid model simulations of heavy-ion colli…

hep-ph2018★ 7 cited

Revisiting heavy quark radiative energy loss in nuclei within the high-twist approach

Yi-Lun Du, Yayun He, Xin-Nian Wang +2

We revisit the calculation of multiple parton scattering of a heavy quark in nuclei within the framework of recently improved high-twist factorization formalism, in which gauge inv…

hep-ph2016★ 1 cited

Discussion on Lorentz Invariance Violation of Non-commutative Field Theory and Neutrino Oscillation

Cui-Bai Luo, Song Shi, Yi-Lun Du +2

Depending on deformed canonical anti-commutation relations, massless neutrino oscillation based on Lorentz invariance violation in non-commutative field theory is discussed. It is…

hep-ph2016★ 32 cited

Continuum study on QCD phase diagram through an OPE-modified gluon propagator

Chao Shi, Yi-Lun Du, Shu-Sheng Xu +2

Within the Dyson-Schwinger equations (DSEs) framework, a gluon propagator model incorporating quark's feedback through operator product expansion (OPE) is introduced to investigate…

hep-ph2016

Complete Form of Fermion Self-energy in NJL Model with External Magnetic Field

Song Shi, Yi-Lun Du, Yong-Hui Xia +1

The author has consulted with us to withdraw this version from arXiv, and we both reach a consensus agreement. So we would like withdraw this paper from arXiv. For the detail of th…

hep-ph2015★ 33 cited

Critical behaviors near the (tri-)critical end point of QCD within the NJL model

Ya Lu, Yi-Lun Du, Zhu-Fang Cui +1

We investigate the dynamical chiral symmetry breaking and its restoration at finite density and temperature within the two-flavor Nambu-Jona-Lasinio model, and mainly focus on the…

hep-ph2015★ 11 cited

Susceptibilities and critical exponents within the Nambu--Jona-Lasinio model

Yi-Lun Du, Ya Lu, Shu-Sheng Xu +3

In the mean field approximation of (2+1)-flavor Nambu--Jona-Lasinio model, we strictly derive several sets of coupled equations for the chiral susceptibility, the quark number susc…

hep-ph2013★ 28 cited

Discussions on the crossover property within the Nambu--Jona-Lasinio model

Yi-lun Du, Zhu-fang Cui, Yong-hui Xia +1

In this paper, chiral symmetry breaking and its restoration are investigated in the mean field approximation of Nambu--Jona-Lasinio model. A first-order phase transition exists at…