Numerical metrics, curvature expansions and Calabi-Yau manifolds

dc.contributor.authorCui, Weien
dc.contributor.authorGray, James A.en
dc.contributor.departmentPhysicsen
dc.date.accessioned2020-08-17T19:11:35Zen
dc.date.available2020-08-17T19:11:35Zen
dc.date.issued2020-05-11en
dc.description.abstractWe discuss the extent to which numerical techniques for computing approximations to Ricci-flat metrics can be used to investigate hierarchies of curvature scales on Calabi-Yau manifolds. Control of such hierarchies is integral to the validity of curvature expansions in string effective theories. Nevertheless, for seemingly generic points in moduli space it can be difficult to analytically determine if there might be a highly curved region localized somewhere on the Calabi-Yau manifold. We show that numerical techniques are rather efficient at deciding this issue.en
dc.description.notesW.C. and J.G. would like to thank M. Headrick for valuable discussions. The work of W.C. and J.G. is supported in part by NSF grant PHY-1720321. The authors would like to gratefully acknowledge the Simons Center for Geometry and Physics (and the semester long program, The Geometry and Physics of Hitchin Systems) for hospitality during the completion of this work.en
dc.description.sponsorshipNSFNational Science Foundation (NSF) [PHY-1720321]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/JHEP05(2020)044en
dc.identifier.issn1029-8479en
dc.identifier.issue5en
dc.identifier.urihttp://hdl.handle.net/10919/99728en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectDifferential and Algebraic Geometryen
dc.subjectSuperstring Vacuaen
dc.titleNumerical metrics, curvature expansions and Calabi-Yau manifoldsen
dc.title.serialJournal Of High Energy Physicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Cui-Gray2020_Article_NumericalMetricsCurvatureExpan.pdf
Size:
469.83 KB
Format:
Adobe Portable Document Format
Description: