Search results
Results: 55
Number of items: 55
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KM3NeT Collaboration, Aiello, S., Bouwhuis, M., Bruijn, R., van Eeden, T. J., van Eijk, D., Heijboer, A. J., de Jong, P., Jung, B. J., Kooijman, P., Melis, K. W., Muller, R., Ó Fearraigh, B. P., Samtleben, D. F. E., Seneca, J., & de Wolf, E. (2021). The KM3NeT potential for the next core-collapse supernova observation with neutrinos. European Physical Journal C, 81(5), Article 445. https://doi.org/10.1140/epjc/s10052-021-09187-5 -
Aiello, S., Bouwhuis, M., Bruijn, R., van Eeden, T. J., van Eijk, D., Heijboer, A., de Jong, M., de Jong, P., Jung, B. J., Koffeman, E. N., Kooijman, P. M., Melis, K. W., Muller, R., Ó Fearraigh, B. P., Samtleben, D. F. E., Seneca, J., de Wolf, E., & KM3NeT Collaboration (2021). Architecture and performance of the KM3NeT front-end firmware. Journal of Astronomical Telescopes, Instruments, and Systems, 7(1), Article 016001. https://doi.org/10.1117/1.JATIS.7.1.016001 -
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 -
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 -
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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