Probing the shape of the quark-gluon plasma droplet via event-by-event QGP tomography

This study investigates Quark-Gluon Plasma (QGP) in heavy-ion collisions through two avenues: high-$p_{\perp }$ frameworks and hydrodynamic modeling. Using the T${}_{\text{R}}$ENTo model, we find that IP-Glasma mimicking $p=0$ value aligns well with high-$p_{\perp }$ data, in agreement with Bayesian analysis of the low-$p_{\perp }$ regime. While adjusting $p$ values may improve a fit to a particular high-$p_{\perp }$ observable, it does not permit an earlier onset of transverse expansion.