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PreprintCC BY 4.0arXiv

Probing damping effects in neutrino oscillations with 207 days of JUNO data

  • Martina Beccaria
  • Christoph A. Ternes
Open at sourcePDFDOICite

Abstract

We consider different scenarios which lead to a damping of the neutrino oscillation probability and investigate their impact on the JUNO results. First, we study decoherence effects due to wave packet separation. In addition, we consider an open quantum system framework and adopt a phenomenological approach which allows us to parameterize the energy dependence of the decoherence effects more freely. Finally, we study the effect of invisible neutrino decay. In all cases with 207 days of data, JUNO can already place competitive bounds on the parameter space of the scenarios under consideration, while also maintaining a relatively robust measurement of the standard neutrino oscillation parameters.

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Cite

BibTeXRIS
BibTeX
@misc{beccaria2026probing,
  title = {{Probing damping effects in neutrino oscillations with 207 days of JUNO data}},
  author = {Martina Beccaria and Christoph A. Ternes},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2606.13362},
  eprint = {2606.13362},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.13362},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Probing damping effects in neutrino oscillations with 207 days of JUNO data
AU  - Martina Beccaria
AU  - Christoph A. Ternes
PY  - 2026
DA  - 2026/11/03
PB  - arXiv
DO  - 10.48550/arxiv.2606.13362
UR  - https://arxiv.org/abs/2606.13362
AB  - We consider different scenarios which lead to a damping of the neutrino oscillation probability and investigate their impact on the JUNO results. First, we study decoherence effects due to wave packet separation. In addition, we consider an open quantum system framework and adopt a phenomenological approach which allows us to parameterize the energy dependence of the decoherence effects more freely. Finally, we study the effect of invisible neutrino decay. In all cases with 207 days of data, JUNO can already place competitive bounds on the parameter space of the scenarios under consideration, while also maintaining a relatively robust measurement of the standard neutrino oscillation parameters.
ER  -