2014
DOI: 10.1016/j.physletb.2014.05.050
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Heavy flavor at the large hadron collider in a strong coupling approach

Abstract: Employing nonperturbative transport coefficients for heavy-flavor (HF) diffusion through quark-gluon plasma (QGP), hadronization and hadronic matter, we compute D-and B-meson observables in Pb+Pb ( √ s=2.76 TeV) collisions at the LHC. Elastic heavy-quark scattering in the QGP is evaluated within a thermodynamic T -matrix approach, generating resonances close to the critical temperature which are utilized for recombination into D and B mesons, followed by hadronic diffusion using effective hadronic scattering a… Show more

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Cited by 210 publications
(257 citation statements)
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“…The influence of hadronic interactions after the QGP decays on heavy meson observables has also been explored in Refs. [44,45] and has been shown to be non-negligible. In this work, we will develop a hybrid model of fragmentation plus coalescence to describe the heavy quark hadronization process.…”
Section: Introductionmentioning
confidence: 99%
“…The influence of hadronic interactions after the QGP decays on heavy meson observables has also been explored in Refs. [44,45] and has been shown to be non-negligible. In this work, we will develop a hybrid model of fragmentation plus coalescence to describe the heavy quark hadronization process.…”
Section: Introductionmentioning
confidence: 99%
“…In both approaches, the hadronisation uses a vacuum fragmentation function. TAMU [97] is a heavy-flavour transport model that incorporates energy loss via collisional processes with resonance formation and dissociation in an evolving hydrodynamic medium. The hydrodynamical expansion of the medium is constrained by the measured p T and v 2 spectra of light-flavour hadrons.…”
mentioning
confidence: 99%
“…The nuclear modification factor is substantially overestimated below p T ≈ 5 GeV/c and correctly described at higher p T . III TAMU elastic [133]. This is a heavy-flavour transport model based on collisional, elastic processes only.…”
Section: Comparison With Model Calculationsmentioning
confidence: 99%