S
Steffen A. Bass
Researcher at Duke University
Publications - 350
Citations - 18770
Steffen A. Bass is an academic researcher from Duke University. The author has contributed to research in topics: Quark–gluon plasma & Parton. The author has an hindex of 58, co-authored 328 publications receiving 16246 citations. Previous affiliations of Steffen A. Bass include Goethe University Frankfurt & University of California, Davis.
Papers
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Journal ArticleDOI
Critical review of quark gluon plasma signatures
Stefan Scherer,Steffen A. Bass,Marcus Bleicher,Mohamed Belkacem,Larissa Bravina,J. Brachmann,Adrian Dumitru,C. Ernst,L. Gerland,M. Hofmann,L. Neise,M. Reiter,Sven Soff,C. Spieles,H. Weber,E. Zabrodin,D. Zschiesche,J. A. Maruhn,Horst Stöcker,Walter Greiner +19 more
TL;DR: In this article, nonequilibrium models (three-fluid hydrodynamics and UrQMD) are used to discuss the uniqueness of often proposed experimental signatures for quark matter formation in relativistic heavy ion collisions.
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Elliptic flow of multi-strange particles: fragmentation, recombination and hydrodynamics
TL;DR: In this paper, the elliptic flow v2 of multi-strange hadrons such as the φ, Ξ and Ω as a function of transverse momentum in the recombination and fragmentation model was compared to a standard hydrodynamic calculation.
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Is collective pion flow anticorrelated to nucleon flow
TL;DR: In this paper, the in-plane transverse momentum of pions in Ne(2A GeV)Pb and Au (2A geV)Au collisions is analyzed in the framework of the Vlasov-Uehling-Uhlenbeck model.
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Effective Visualization of Temporal Ensembles
TL;DR: A static ensemble visualization system that automatically helps users locate interesting subsets of members to visualize and extended to support analysis and visualization of temporal ensembles, which enable users to interactively visualize and analyze a temporal ensemble from different perspectives at different levels of detail.
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Determination of Quark-Gluon-Plasma Parameters from a Global Bayesian Analysis
TL;DR: In this article, an analysis based on Bayesian statistics is presented to compare an event-by-event heavy-ion collision model to data from the Large Hadron Collider (LHC) and simultaneously probe multiple model parameters including fundamental quark-gluon plasma properties such as the temperature-dependence of the specific shear viscosity η / s.