3 citations · 3 across the 1 of their papers we have counts for
7 papers
From high theory and data to inferring anisotropy of Quark-Gluon Plasma
Magdalena Djordjevic, Stefan Stojku, Dusan Zigic +5
High theory and data are commonly used to study high parton interactions with QGP, while low data and corresponding models are employed to infer QGP b…
Effects of demographic and weather parameters on COVID-19 basic reproduction number
Igor Salom, Andjela Rodic, Ognjen Milicevic +3
Timely prediction of the COVID-19 progression is not possible without a comprehensive understanding of environmental factors that may affect the infection transmissibility. Studies…
Dynamical energy loss formalism: from describing suppression patterns to implications for future experiments
Magdalena Djordjevic, Dusan Zigic, Bojana Blagojevic +3
Understanding properties of Quark-Gluon Plasma requires an unbiased comparison of experimental data with theoretical predictions. To that end, we developed the dynamical energy los…
Exploring the initial stages in heavy-ion collisions with high-pT RAA and v2 theory and data
Dusan Zigic, Bojana Ilic, Marko Djordjevic +1
Traditionally, low-pT sector is used to infer the features of initial stages before QGP thermalization. On the other hand, recently acquired wealth of high-pT experimental data pav…
How to test path-length dependence in energy loss mechanisms: analysis leading to a new observable
Magdalena Djordjevic, Dusan Zigic, Marko Djordjevic +1
When traversing QCD medium, high partons lose energy, which is typically measured by suppression, and also predicted by various energy loss models. A crucial test of diff…
Joint and predictions for collisions at the LHC within DREENA-C framework
Dusan Zigic, Igor Salom, Jussi Auvinen +2
In this paper, we presented our recently developed DREENA-C framework, which is a fully optimized computational suppression procedure based on our state-of-the-art dynamical energy…