2014
DOI: 10.1016/j.nuclphysa.2014.04.027
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Spectral functions from the functional renormalization group

Abstract: In this article we wish to present a new method to obtain spectral functions at finite temperature and density from the Functional Renormalization Group We demonstrate the feasibility of the method by calculating mesonic spectral functions in hot and dense hadronic matter using the quark-meson model as a simple example.

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Cited by 11 publications
(10 citation statements)
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“…It has recently been pointed out that the NPRG enables, within some approximation schemes, to perform exactly both Matsubara-frequency sums and analytical continuation to real frequencies. [59][60][61][62] Other methods to circumvent the difficulties in performing analytical continuation at finite temperature from numerical data have been proposed. 63 Whether or not these proposals can be successfully implemented for the quantum O(N ) model is likely to determine whether the NPRG is a reliable method to compute finite-temperature transport properties.…”
Section: Discussionmentioning
confidence: 99%
“…It has recently been pointed out that the NPRG enables, within some approximation schemes, to perform exactly both Matsubara-frequency sums and analytical continuation to real frequencies. [59][60][61][62] Other methods to circumvent the difficulties in performing analytical continuation at finite temperature from numerical data have been proposed. 63 Whether or not these proposals can be successfully implemented for the quantum O(N ) model is likely to determine whether the NPRG is a reliable method to compute finite-temperature transport properties.…”
Section: Discussionmentioning
confidence: 99%
“…It should be mentioned that, recently, an alternative formulation of the NPRG capable of dealing with the analytic continuation of spectral functions has been proposed in a slightly different context [51][52][53]. In this approach, the analytic continuation is performed at the level of the flow equations of the NPRG, so that one ends up with a flow of complex quantities.…”
Section: And One For the Derivative Of The Dimensionless Effective Po...mentioning
confidence: 99%
“…This is, however, a challenging problem. One possible approach, for which realtime behavior becomes more and more accessible, are functional methods [5][6][7][8]. Still, these methods require approximations.…”
Section: Introductionmentioning
confidence: 99%