| Issue |
EPJ Web Conf.
Volume 175, 2018
35th International Symposium on Lattice Field Theory (Lattice 2017)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 8 | |
| Section | 2 Algorithms and Machines | |
| DOI | https://doi.org/10.1051/epjconf/201817502008 | |
| Published online | 26 March 2018 | |
https://doi.org/10.1051/epjconf/201817502008
Testing algorithms for critical slowing down
1
School of Physics and Astronomy, The University of Edinburgh, Edinburgh EH9 3JZ, United Kingdom
2
Physics Department, Columbia University, New York, New York 10027, USA
3
Physics Department, Brookhaven National Laboratory, Upton, New York 11973, USA
4
School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, United Kingdom
5
Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, Via della Vasca Navale 84, I-00146 Rome, Italy
* speaker, e-mail: guido.cossu@ed.ac.uk
Published online: 26 March 2018
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Both algorithms are designed to travel much farther in the Hamiltonian phase space for each trajectory and reduce the autocorrelations among physical observables thus tackling the critical slowing down towards the continuum limit. We present a comparison of costs of the new algorithms with the standard HMC evolution for pure gauge fields, studying the autocorrelation times for various quantities including the topological charge.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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