Please use this identifier to cite or link to this item:
http://hdl.handle.net/10261/16702
Share/Export:
![]() ![]() |
|
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Title: | Model discriminating power of µ-->e conversion in nuclei |
Authors: | Cirigliano, Vincenzo; Kitano, Ryuichiro; Okada, Yasuhiro; Tuzón, Paula | Keywords: | [PACS] Decays of muons [PACS] Flavor symmetries in particles and fields |
Issue Date: | 6-Jul-2009 | Publisher: | American Physical Society | Citation: | Physical Review D 80(1): 013002 (2009) | Abstract: | We assess the model discriminating power of a combined phenomenological analysis of mu -> e gamma and mu -> e conversion on different target nuclei, including the current hadronic uncertainties. We find that the theoretical uncertainties can be largely reduced by using input from lattice QCD, and do not constitute a limiting factor in discriminating models where one or, at most, two underlying operators (dipole, scalar, vector) provide the dominant source of lepton flavor violation. Our results show that a realistic discrimination among underlying mechanisms requires a measurement of the ratio of conversion rates at the 5% level (two light nuclei) or at the 20% level (one light and one heavy nucleus). We also illustrate these main conclusions in the context of a supersymmetric model. | Description: | 13 pages, 12 figures, 1 table.-- PACS nrs.: 13.35.Bv; 11.30.Hv.-- ArXiv pre-print available at: http://arxiv.org/abs/0904.0957 | Publisher version (URL): | http://dx.doi.org/10.1103/PhysRevD.80.013002 | URI: | http://hdl.handle.net/10261/16702 | DOI: | 10.1103/PhysRevD.80.013002 | ISSN: | 1550-7998 |
Appears in Collections: | (IFIC) Artículos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Model_discriminating.pdf | 609,95 kB | Adobe PDF | ![]() View/Open |
Review this work
SCOPUSTM
Citations
88
checked on May 27, 2022
WEB OF SCIENCETM
Citations
79
checked on May 24, 2022
Page view(s)
296
checked on May 28, 2022
Download(s)
201
checked on May 28, 2022
Google ScholarTM
Check
Altmetric
Dimensions
WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.