مورد إلكتروني
Frequency-splitting estimators of single-propagator traces
العنوان: | Frequency-splitting estimators of single-propagator traces |
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بيانات النشر: | Sissa Medialab Srl 2020 |
تفاصيل مُضافة: | Harris, T Giusti, L Nada, A Schaefer, S Harris, Tim Giusti, Leonardo Nada, Alessandro Schaefer, Stefan |
نوع الوثيقة: | Electronic Resource |
مستخلص: | In these proceedings we address the computation of quark-line disconnected diagrams in lattice QCD. The evaluation of these diagrams is required for many phenomenologically interesting observables, but suffers from large statistical errors due to the vacuum and random-noise contributions to their variances. Motivated by a theoretical analysis of the variances, we introduce a new family of stochastic estimators of single-propagator traces built upon a frequency splitting combined with a hopping expansion of the quark propagator, and test their efficiency in two-flavour QCD with pions as light as 190 MeV. The use of these estimators reduces the cost of the computation by one to two orders of magnitude over standard estimators depending on the fermion bilinear. As a concrete application, we show the impact of these findings on the computation of the hadronic vacuum polarization contribution to the muon anomalous magnetic moment. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). |
مصطلحات الفهرس: | Lattice QCD, Lattice gauge theory, HPC, algorithms, info:eu-repo/semantics/conferenceObject |
URL: | International Symposium on Lattice Field Theory (LATTICE2019) volume:363 journal:POS PROCEEDINGS OF SCIENCE |
الإتاحة: | Open access content. Open access content |
ملاحظة: | English |
أرقام أخرى: | ITBAO oai:boa.unimib.it:10281/362015 10.22323/1.363.0157 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85099572699 1311398870 |
المصدر المساهم: | BICOCCA OPEN ARCH From OAIster®, provided by the OCLC Cooperative. |
رقم الأكسشن: | edsoai.on1311398870 |
قاعدة البيانات: | OAIster |
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