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Detection potential for the diffuse supernova neutrino background in the large liquid-scintillator detector LENA

M. Wurm, F. von Feilitzsch, M. Göger-Neff, K. A. Hochmuth, T. Marrodán Undagoitia, L. Oberauer, and W. Potzel
Phys. Rev. D 75, 023007 – Published 23 January 2007

Abstract

The large-volume liquid-scintillator detector LENA (low energy neutrino astronomy) will provide high-grade background discrimination and enable the detection of diffuse supernova neutrinos (DSN) in an almost background-free energy window from 10 to 25 MeV. Within ten years of exposure, it will be possible to derive significant constraints on both core-collapse supernova models and the supernova rate in the near universe up to redshifts z<2.

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  • Received 4 August 2006

DOI:https://doi.org/10.1103/PhysRevD.75.023007

©2007 American Physical Society

Authors & Affiliations

M. Wurm1,*, F. von Feilitzsch1, M. Göger-Neff1, K. A. Hochmuth2, T. Marrodán Undagoitia1, L. Oberauer1, and W. Potzel1

  • 1Physik-Department E15, Technische Universität München, James-Franck-Strasse, D-85748 Garching, Germany
  • 2Max-Planck-Institut für Physik, Föhringer Ring 6, D-80805 München, Germany

  • *Corresponding author. Email: mwurm@ph.tum.de

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Vol. 75, Iss. 2 — 15 January 2007

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Images

  • Figure 1
    Figure 1
    Sketch of the LENA detector.Reuse & Permissions
  • Figure 2
    Figure 2
    The z-dependent supernova rate calculated according to Ando et al. [1] (solid line) in comparison to the best fit (dashed line) [29] of direct SNR observations (diamonds) for z<1 [27, 28].Reuse & Permissions
  • Figure 3
    Figure 3
    DSN model spectra for ν¯e calculated by Ando et al. [20] using core-collapse SN simulations performed by the Lawrence Livermore group (LL) [21], Thompson, Burrows, and Pinto (TBP) [22] and Keil, Raffelt and Janka (KRJ) [23]. In addition, an LL res spectrum is shown in case of a resonant flavour conversion in the SN envelope.Reuse & Permissions
  • Figure 4
    Figure 4
    Contributions of different red-shift regions to the DSN energy spectrum [20]. Neutrinos emitted by far away supernovae are redshifted by cosmic expansion.Reuse & Permissions
  • Figure 5
    Figure 5
    Spectra of reactor ν¯e at Frejus, Pyhäsalmi, and Hawaii. Shaded regions correspond to experimental and model uncertainties. Above 12 MeV, we added an upper limit for the spectral contribution of Br94 neutrinos. For comparison, the DSN spectrum according to the KRJ model [23] with fSN=1 [see Eq. (1)] is shown.Reuse & Permissions
  • Figure 6
    Figure 6
    Event rates of reactor, atmospheric and DSN ν¯e (LL, KRJ, TBP, see Fig. 3) as expected for LENA in Pyhäsalmi after ten years of measurement and fSN=1. The shaded region represents the uncertainties of the DSN rates due to fSN. The energy window is chosen such that the flux of the KRJ model exceeds the background flux. The Super-Kamiokande limit is also indicated.Reuse & Permissions
  • Figure 7
    Figure 7
    Potential to derive bounds on the scale factor fSN in the SNR. If one assumes fSN=2.5 according to the CMSFR, the curves shown in the plot depict the significance level at which other values of fSN can be rejected after a certain exposure time.Reuse & Permissions
  • Figure 8
    Figure 8
    Exclusion plot for the assignment of a simulated event spectrum in LENA to a wrong DSN model. A value of fSN=2.5 and 10 years of exposure are assumed. MC spectra created according to one of the models are compared to all possible combinations of event numbers in the two energy bins (see Table ). Regions of more than 1σ and 2σ exclusion probability for a wrong assignment are located outside the depicted lines. Predictions assuming the no resonance (dots) and the resonance case (diamond) are shown. LL and TBP model can be discerned at a significance level of more than 2.6σ.Reuse & Permissions
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