English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The JETSCAPE Collaboration reports the first multi-messenger study of the QGPjet transport parameter $\hat{q}$ using Bayesian inference, incorporating allavailable hadron and jet inclusive yield and jet substructure data from RHICand the LHC. The theoretical model utilizes virtuality-dependent in-mediumpartonic energy loss coupled to a detailed dynamical model of QGP evolution.Tension is observed when constraining $\hat{q}$ for different kinematic cuts ofthe inclusive hadron data. The addition of substructure data is shown toimprove the constraint on $\hat{q}$, without inducing tension with theconstraint due to inclusive observables. These studies provide new insight intothe mechanisms of jet interactions in matter, and point to next steps in thefield for comprehensive understanding of jet quenching as a probe of the QGP.

Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE