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What Can Lattice QCD Theorists Learn from NMR Spectroscopists?

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QCD and Numerical Analysis III

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 47))

Summary

The Lattice QCD (LQCD) community has occasionally gone through periods of self-examination of its data analysis methods and compared them with methods used in other disciplines [22, 16, 18]. This process has shown that the techniques widely used elsewhere may also be useful in analyzing LQCD data. It seems that we are in such a period now with many groups trying what are generally called Bayesian methods such as Maximal Entropy (MEM) or constrained fitting [19, 15, 1, 7, 5, and many others]. In these proceedings we will attempt to apply this process to a comparison of data modeling techniques used in LQCD and NMR Spectroscopy to see if there are methods which may also be useful when applied to LQCD data.

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Authors and Affiliations

  1. Jefferson Lab, 12000 Jefferson Ave, Newport News VA, 23606, USA

    George T. Fleming

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  1. George T. Fleming
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Editors and Affiliations

  1. School of Physics, University of Edinburgh, Mayfield Road, EH9 3JZ, Edinburgh, UK

    Artan Bori~i , Bálint Joó , Anthony Kennedy  & Brian Pendleton , ,  & 

  2. Fachbereich C — Mathematik und Naturwissenschaften, Bergische Universität Wuppertal, Gaußstr. 20, 42097, Wuppertal, Germany

    Andreas Frommer

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Fleming, G.T. (2005). What Can Lattice QCD Theorists Learn from NMR Spectroscopists?. In: Bori~i, A., Frommer, A., Joó, B., Kennedy, A., Pendleton, B. (eds) QCD and Numerical Analysis III. Lecture Notes in Computational Science and Engineering, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28504-0_14

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