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Background-independent measurement of θ13 in Double Chooz

MPG-Autoren
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Buck,  C.
Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society;

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Haser,  Julia
Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society;

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Kaether,  F.
Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society;

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Lindner,  M.
Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society;

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Wagner,  Stefan
Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society;

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Watanabe,  H.
Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society;

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Zitation

Double Chooz Collaboration, Abe, Y., Anjos, J. C. d., Barriere, J. C., Baussan, E., Bekman, I., et al. (2014). Background-independent measurement of θ13 in Double Chooz. Physics Letters B, 735, 51-56. doi:10.1016/j.physletb.2014.04.045.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0025-0501-B
Zusammenfassung
The oscillation results published by the Double Chooz collaboration in 2011 and 2012 rely on background models substantiated by reactor-on data. In this analysis, we present a background-model-independent measurement of the mixing angle $\theta_{13}$ by including 7.53 days of reactor-off data. A global fit of the observed neutrino rates for different reactor power conditions is performed, yielding a measurement of both $\theta_{13}$ and the total background rate. The results on the mixing angle are improved significantly by including the reactor-off data in the fit, as it provides a direct measurement of the total background rate. This reactor rate modulation analysis considers antineutrino candidates with neutron captures on both Gd and H, whose combination yields $\sin^2(2\theta_{13})=$ 0.102 $\pm$ 0.028(stat.) $\pm$ 0.033(syst.). The results presented in this study are fully consistent with the ones already published by Double Chooz, achieving a competitive precision. They provide, for the first time, a determination of $\theta_{13}$ that does not depend on a background model.