Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 440

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Flavor structure of warped extra dimension models

Open access
Agashe, Kaustubh, Perez, Gilad, Soni, Amarjit·2005·Physical Review D

Abstract

We recently showed that warped extra-dimensional models with bulk custodial symmetry and few TeV Kaluza-Klein (KK) masses lead to striking signals at $B$ factories. In this paper, using a spurion analysis, we systematically study the flavor structure of models that belong to the above class. In particular we find that the profiles of the zero modes, which are similar in all these models, essentially control the underlying flavor structure. This implies that our results are robust and model independent in this class of models. We discuss in detail the origin of the signals in $B$ physics. We also briefly study other new physics signatures that arise in rare $K$ decays ($K\ensuremath{\rightarrow}\ensuremath{\pi}\ensuremath{\nu}\ensuremath{\nu}$), in rare top decays [$t\ensuremath{\rightarrow}c\ensuremath{\gamma}(Z,\mathrm{\text{gluon}})$], and the possibility of $CP$ asymmetries in ${D}^{0}$ decays to $CP$ eigenstates such as ${K}_{S}{\ensuremath{\pi}}^{0}$ and others. Finally we demonstrate that with light KK masses, $\ensuremath{\sim}3\text{ }\mathrm{T}\mathrm{e}\mathrm{V}$, the above class of models with anarchic 5D Yukawas has a ``$CP$ problem'' since contributions to the neutron electric dipole moment are roughly 20 times larger than the current experimental bound. Using $\mathrm{A}\mathrm{d}\mathrm{S}/\mathrm{C}\mathrm{F}\mathrm{T}$ correspondence, these extra-dimensional models are dual to a purely 4D strongly coupled conformal Higgs sector thus enhancing their appeal.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevd.71.016002

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 440

Metadata

Authors
Agashe, K., Perez, G., & Soni, A.
Venue
Physical Review D
Published
2005-01-06
Volume
71
Issue
1
ISSN
  • 0556-2821 (ISSN-L)
  • 1550-7998
  • 1550-2368
OpenAlex
W2170460919
Cited by
440
References
5
FWCI
15.06
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.