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Cited by 1,159

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

A complete analysis of FCNC and CP constraints in general SUSY extensions of the standard model

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Gabbiani, F., Gabrielli, E., Masiero, A., Silvestrini, L.·1996·Nuclear Physics B

Abstract

Abstract We analyze the full set of constraints on gluino- and photino-mediated SUSY contributions to FCNC and CP violating phenomena. We use the mass insertion method, hence providing a model-independent parameterization which can be readily applied in testing extensions of the MSSM. In addition to clarifying controversial points in the literature, we provide a more exhaustive analysis of the CP constraints, in particular concerning e′/e. As physically meaningful applications of our analysis, we study the implications in SUSY-GUT's and effective supergravities with flavour nonuniversality. This allows us to detail the domain of applicability and the correct procedure of implementation of the FC mass insertion approach.

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Metadata

Authors
Gabbiani, F., Gabrielli, E., Masiero, A., & Silvestrini, L.
Venue
Nuclear Physics B
Publisher
Elsevier BV
Published
1996-10
Volume
477
Issue
2
Pages
321-352
ISSN
0550-3213 (ISSN-L)
OpenAlex
W2133327165
Cited by
1,159
References
15
FWCI
23.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A complete analysis of FCNC and CP constraints in general SUSY extensions of the standard model. https://app.cochat.ai/papers/10.1016/0550-3213(96)00390-2
The paper
Gabbiani, F., Gabrielli, E., Masiero, A., & Silvestrini, L. (1996). A complete analysis of FCNC and CP constraints in general SUSY extensions of the standard model. Nuclear Physics B. https://doi.org/10.1016/0550-3213(96)00390-2

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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.