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Results: 55
Number of items: 55
  • Open Access
    The ANTARES collaboration, Albert, A., Bouwhuis, M. C., Bruijn, R., Heijboer, A. J., Jisse-Jung, B., de Jong, M., de Jong, P., Jongen, M., Melis, K., Muller, R., Ó Fearraigh, B., & Samtleben, D. F. E. (2021). Measurement of the atmospheric νe and νμ energy spectra with the ANTARES neutrino telescope. Physics Letters B, 816, Article 136228. https://doi.org/10.1016/j.physletb.2021.136228
  • Open Access
    The KM3NeT collaboration, Aiello, S., Bouwhuis, M., Bruijn, R., van Eeden, T., van Eijk, D., Heijboer, A., de Jong, M., de Jong, P., Jung, B. J., Kooijman, P., Melis, K., Muller, R., Ó Fearraigh, B. P., Samtleben, D. F. E., Seneca, J., & de Wolf, E. (2021). Sensitivity to light sterile neutrino mixing parameters with KM3NeT/ORCA. Journal of High Energy Physics, 2021(10), Article 180. https://doi.org/10.1007/JHEP10(2021)180
  • Open Access
    The KM3NeT Collaboration, Aiello, S., Basegmez du Pree, S., Bouwhuis, M., Bruijn, R., Domi, A., van Eeden, T., van Eijk, D., Heijboer, A., de Jong, P., Jung, B. J., Koffeman, E. N., Kooijman, P., Melis, K., Ó Fearraigh, B., Samtleben, D. F. E., Seneca, J., Steijger, J., & de Wolf, E. (2020). Deep-sea deployment of the KM3NeT neutrino telescope detection units by self-unrolling. Journal of Instrumentation, 15(11), Article P11027. https://doi.org/10.1088/1748-0221/15/11/P11027
  • Open Access
    Aiello, S., Bouwhuis, M., Bruijn, R., de Jong, P., van Eeden, T., van Eijk, D., Heijboer, A., Jung, B. J., Koffeman, E. N., Kooijman, P., Melis, K., Ó Fearraigh, B., Samtleben, D. F. E., Seneca, J., Steijger, J., de Wolf, E., & KM3NeT Collaboration (2020). Event reconstruction for KM3NeT/ORCA using convolutional neural networks. Journal of Instrumentation, 15(10), Article P10005. https://doi.org/10.1088/1748-0221/15/10/P10005
  • Open Access
    Aiello, S., Bouwhuis, M., Bruijn, R., van Eijk, D., Heijboer, A., de Jong, P., Jung, B. J., Koffeman, E., Kooijman, P., Melis, K. W., Muller, R., Ó Fearraigh, B., Steijger, J., de Wolf, E., & The KM3NeT collaboration (2020). gSeaGen: The KM3NeT GENIE-based code for neutrino telescopes. Computer Physics Communications, 256, Article 107477. https://doi.org/10.1016/j.cpc.2020.107477
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