6 papers
Parton Fragmentation Functions Extracted with a Physics-Informed Neural Network
Si-Wei Dai, Fu-Peng Li, Long-Gang Pang +3
Reliable predictions of many high-energy strong interaction processes rely heavily on the non-perturbative parton fragmentation functions (FFs) extracted from existing experimental…
Jet cone size dependence of single inclusive jet suppression due to jet quenching in Pb+Pb collisions at TeV
Qing-Fei Han, Man Xie, Han-Zhong Zhang
Jet suppression in high-energy heavy-ion collisions results from jet energy loss and transverse-momentum broadening during jet propagation through the quark-gluon plasma (QGP). The…
Extracting Essential Non-perturbative Information in Jet Invariant Mass via the Bayesian Analysis
Zhan Gao, Yu Shi, Bo-Wen Xiao +1
In this paper, we present a new three-dimensional non-perturbative (NP) function to account for and parameterize the NP contributions in the jet invariant mass spectrum, in additio…
Extracting the jet transport coefficient from hadron suppressions by confronting current NLO parton fragmentation functions
Qing-Fei Han, Man Xie, Han-Zhong Zhang
Nuclear modification factors of single hadrons and dihadrons at large transverse momentum () in high-energy heavy-ion collisions are studied in a next-to-leading-order (…
Probing Jet Medium Interactions via ()+jet Momentum Imbalances
Lin Chen, Shu-Yi Wei, Han-Zhong Zhang
Different types of high energy hard probes are used to extract the jet transport properties of the Quark-Gluon Plasma created in heavy-ion collisions, of which the heavy boson tagg…
Extracting jet transport coefficient via single hadron and dihadron productions in high-energy heavy-ion collisions
Man Xie, Shu-Yi Wei, Guang-You Qin +1
We study the suppressions of high transverse momentum single hadron and dihadron productions in high-energy heavy-ion collisions based on the framework of a next-to-leading-order p…