2016
DOI: 10.1016/j.nuclphysb.2016.10.005
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Developing and testing the density of states FFA method in the SU(3) spin model

Abstract: The Density of States Functional Fit Approach (DoS FFA) is a recently proposed modern density of states technique suitable for calculations in lattice field theories with a complex action problem. In this article we present an exploratory implementation of DoS FFA for the SU(3) spin system at finite chemical potential µ -an effective theory for the Polyakov loop. This model has a complex action problem similar to the one of QCD but also allows for a dual simulation in terms of worldlines where the complex acti… Show more

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Cited by 17 publications
(30 citation statements)
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“…We observe good agreement between the two different methods up to µ ≈ 4 for n and up to µ ≈ 2 for χ n . This confirms the reliability of the DoS FFA for n and χ n in the respective ranges of µ( see [9] for a more detailed discussion). SU (3) LGT-SCS, up to today, has no dual formulation.…”
Section: Su(3)supporting
confidence: 80%
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“…We observe good agreement between the two different methods up to µ ≈ 4 for n and up to µ ≈ 2 for χ n . This confirms the reliability of the DoS FFA for n and χ n in the respective ranges of µ( see [9] for a more detailed discussion). SU (3) LGT-SCS, up to today, has no dual formulation.…”
Section: Su(3)supporting
confidence: 80%
“…Both can be motivated from QCD and inherit the complex action problem from QCD. Results for the SU(3) spin model were already discussed in [9], such that here the discussion of that case is kept short.…”
Section: The Su(3) Spin System and Su(3) Lattice Gauge Theory With Stmentioning
confidence: 99%
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“…For an alternative method to calculate the coefficients a(E), we point the reader to the Functional Fit Approach [14,15].…”
Section: Finding the Llr Coefficientsmentioning
confidence: 99%
“…Other methods such as the Functional Fit Approach [14,15] have been proposed to extract the slope a(E) although more work to establish a systematic error control might be needed.…”
Section: Features Of the Llr Algorithmmentioning
confidence: 99%