Journal
PHYSICAL REVIEW D
Volume 90, Issue 1, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.90.014503
Keywords
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Funding
- National Science Foundation [PHYS1066293]
- hospitality of the Aspen Center for Physics
- SciDAC-3 and Argonne Leadership Computing Facility at Argonne National Laboratory [DE-AC0206CH11357]
- Brookhaven National Laboratory Program Development [PD13-003]
- DOE [DE-SC0010005, DE-SC0008669, DE-SC0009998, DESC0010025]
- NSF [OCI-0749300, PHY11-00905]
- U. S. Department of Energy [. DE-AC52-07NA27344]
- U.S. Department of Energy (DOE) [DE-SC0008669] Funding Source: U.S. Department of Energy (DOE)
- Direct For Mathematical & Physical Scien
- Division Of Physics [1417402] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Physics [1100905] Funding Source: National Science Foundation
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We present a novel technique for the determination of the topological susceptibility (related to the variance of the distribution of global topological charge) from lattice gauge theory simulations, based on maximum-likelihood analysis of the Markov-chain Monte Carlo time series. This technique is expected to be particularly useful in situations where relatively few tunneling events are observed. Restriction to a lattice subvolume on which topological charge is not quantized is explored, and may lead to further improvement when the global topology is poorly sampled. We test our proposed method on a set of lattice data, and compare it to traditional methods.
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