@article{c3231dfd54f84215943ffc7daa57a2db,
title = "Windows on the hadronic vacuum polarization contribution to the muon anomalous magnetic moment",
abstract = "An accurate determination of the leading-order hadronic vacuum polarization (HVP) contribution to the anomalous magnetic moment of the muon is critical to understanding the size and significance of any discrepancy between the Standard Model prediction and experimental results being obtained by the Muon g-2 experiment at Fermilab. The Standard Model prediction is currently based on a data-driven approach to the HVP using experimental results for σ(e+e-→hadrons). Lattice QCD aims to provide a result with similar uncertainty from calculated vector-vector correlation functions, but the growth of statistical and systematic errors in the u/d quark correlation functions at large Euclidean time has made this difficult to achieve. We show that restricting the lattice contributions to a one-sided window 0",
author = "{(Fermilab Lattice, HPQCD, and MILC Collaborations)} and Davies, {C. T.H.} and C. Detar and El-Khadra, {A. X.} and Steven Gottlieb and D. Hatton and Kronfeld, {A. S.} and S. Lahert and Lepage, {G. P.} and C. McNeile and Neil, {E. T.} and Peterson, {C. T.} and Ray, {G. S.} and {Van De Water}, {R. S.} and A. Vaquero",
note = "We are grateful to Alex Keshavarzi for useful discussions on the KNT19 results. This work used the DiRAC Data Analytic system at the University of Cambridge, operated by the University of Cambridge High Performance Computing Service on behalf of the STFC DiRAC HPC Facility ( www.dirac.ac.uk ). This equipment was funded by BIS National E-infrastructure capital grant (ST/K001590/1), STFC capital Grants No. ST/H008861/1 and No. ST/H00887X/1, and STFC DiRAC Operations Grant No. ST/K00333X/1. DiRAC is part of the National E-Infrastructure. We are grateful to the Cambridge HPC support staff for assistance. We thank the University of Plymouth for providing computing time on the local HPC cluster. Computations for this work were also carried out with resources provided by the USQCD Collaboration, the National Energy Research Scientific Computing Center and the Argonne Leadership Computing Facility, which are funded by the Office of Science of the U.S. Department of Energy. This work used the Extreme Science and Engineering Discovery Environment (XSEDE) supercomputer Stampede 2 at the Texas Advanced Computing Center (TACC) through allocation TG-MCA93S002. The XSEDE program is supported by the National Science Foundation under Grant No. ACI-1548562. Computations on the Big Red were supported in part by Lilly Endowment, Inc., through its support for the Indiana University Pervasive Technology Institute. The parallel file system employed by Big Red supported by the National Science Foundation under Grant No. CNS-0521433. This work utilized the RMACC Summit supercomputer, which is supported by the National Science Foundation (Awards No. ACI-1532235 and No. ACI-1532236), the University of Colorado Boulder, and Colorado State University. The Summit supercomputer is a joint effort of the University of Colorado Boulder and Colorado State University. Some of the computations were done using the Blue Waters sustained-petascale computer, which was supported by the National Science Foundation (Awards No. OCI-0725070 and No. ACI-1238993) and the state of Illinois. Blue Waters was a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. Funding for this work came from the UK Science and Technology Facilities Council (Grant No. ST/T000945/1), the Department of Energy (Awards No. DE-SC0015655, No. DE-SC0010120 and No. DE-SC0010005), the National Science Foundation (Grants No. PHY17-19626 and No. PHY20-13064) and from their Graduate Research Fellowship (under Grant No. DGE 2040434) and from the Universities Research Association (Visiting Scholarship Award No. 21-S-05). This document was prepared using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC(FRA), acting under Contract No. DE-AC02-07CH11359.",
year = "2022",
month = oct,
day = "1",
doi = "10.1103/PhysRevD.106.074509",
language = "English (US)",
volume = "106",
journal = "Physical Review D",
issn = "2470-0010",
publisher = "American Physical Society",
number = "7",
}