Bayesian inference and the analytic continuation of imaginary-time quantum Monte Carlo data

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We present brief description of how methods of Bayesian inference are used to obtain real frequency information by the analytic continuation of imaginary-time quantum Monte Carlo data. We present the procedure we used, which is due to R. K. Bryan, and summarize several bottleneck issues.

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8 p.

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Gubernatis, J.E.; Bonca, J. & Jarrell, M. December 31, 1995.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 13 times . More information about this article can be viewed below.

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Description

We present brief description of how methods of Bayesian inference are used to obtain real frequency information by the analytic continuation of imaginary-time quantum Monte Carlo data. We present the procedure we used, which is due to R. K. Bryan, and summarize several bottleneck issues.

Physical Description

8 p.

Notes

INIS; OSTI as DE96005512

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  • Maximum entropy and Bayesian methods, Santa Fe, NM (United States), 31 Jul - 4 Aug 1995

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  • Other: DE96005512
  • Report No.: LA-UR--95-4021
  • Report No.: CONF-9507149--2
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 205973
  • Archival Resource Key: ark:/67531/metadc670581

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  • December 31, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Feb. 29, 2016, 1:17 p.m.

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Gubernatis, J.E.; Bonca, J. & Jarrell, M. Bayesian inference and the analytic continuation of imaginary-time quantum Monte Carlo data, article, December 31, 1995; New Mexico. (digital.library.unt.edu/ark:/67531/metadc670581/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.