- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1029-8479
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Neutrino mass matrix textures: a data-driven approach ; volume:2013 ; number:6 ; day:25 ; month:6 ; year:2013 ; pages:1-27 ; date:6.2013
Journal of high energy physics ; 2013, Heft 6 (25.6.2013), 1-27, 6.2013
- Creator
-
Bertuzzo, E.
Machado, P. A. N.
Funchal, R. Zukanovich
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/JHEP06(2013)097
- URN
-
urn:nbn:de:101:1-2019062922394176222792
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:51 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bertuzzo, E.
- Machado, P. A. N.
- Funchal, R. Zukanovich
- SpringerLink (Online service)
Other Objects (12)
Repressing anarchy in neutrino mass textures
On the textures of neutrino mass matrix for maximal atmospheric mixing angle and Dirac CP phase
Data-driven model predictive control with matrix forgetting factor
Fitting flavour symmetries: the case of two-zero neutrino mass textures
Data-driven Ensemble Visualization
Data-driven Structured Realization
Data-driven Disease Surveillance
Data-driven inventory optimization
Effective Neutrino Masses from Four Flavor Neutrino Mixing Matrix
Nucleosynthesis in neutrino-driven winds
Data-driven political campaigns in practice: understanding and regulating diverse data-driven campaigns
Data-driven mergers and personalization
Repressing anarchy in neutrino mass textures
On the textures of neutrino mass matrix for maximal atmospheric mixing angle and Dirac CP phase
Data-driven model predictive control with matrix forgetting factor
Fitting flavour symmetries: the case of two-zero neutrino mass textures
Data-driven Ensemble Visualization
Data-driven Structured Realization
Data-driven Disease Surveillance
Data-driven inventory optimization
Effective Neutrino Masses from Four Flavor Neutrino Mixing Matrix
Nucleosynthesis in neutrino-driven winds
Data-driven political campaigns in practice: understanding and regulating diverse data-driven campaigns
Data-driven mergers and personalization
Repressing anarchy in neutrino mass textures
On the textures of neutrino mass matrix for maximal atmospheric mixing angle and Dirac CP phase
Data-driven model predictive control with matrix forgetting factor
Fitting flavour symmetries: the case of two-zero neutrino mass textures
Data-driven Ensemble Visualization
Data-driven Structured Realization
Data-driven Disease Surveillance
Data-driven inventory optimization
Effective Neutrino Masses from Four Flavor Neutrino Mixing Matrix
Nucleosynthesis in neutrino-driven winds
Data-driven political campaigns in practice: understanding and regulating diverse data-driven campaigns