Workshop summary: Kaons@CERN 2023

Anzivino, G., Cuendis, S. A., Bernard, V., Bijnens, J., Bloch-Devaux, B., Bordone, M., Brizioli, F., Brod, J., Camalich, J. M., Ceccucci, A., Cenci, P., Christ, N. H., Colangelo, G., Cornella, C., Crivellin, A., D’Ambrosio, G., Deppisch, F. F., Dery, A., Dettori, F., Di Carlo, M., & 30 othersDöbrich, B., Engelfried, J., Fantechi, R., González-Alonso, M., Gorbahn, M., Goudzovski, E., Grossman, Y., Hermansson-Truedsson, N., Hives, Z., Hoferichter, M., Hoid, B-L., Husek, T., Isidori, G., Jüttner, A., Kampf, K., Kholodenko, S., Knecht, M., Kolesár, M., Koval, M., Lazzeroni, C., Ligeti, Z., Mahmoudi, F., Marchevski, R., Santos, D. M., Massri, K., Mombächer, T., Nanjo, H., Neshatpour, S., Nomura, T. & Passemar, E., 9/04/2024, In: European Physical Journal C. 84, 4, 377.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models

Beven, K., 10/04/2024, In: Hydrological Sciences Journal. 69, 5, p. 519-527 9 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

First measurement of $η$ production in neutrino interactions on argon with MicroBooNE

MicroBooNE Collaboration, Blake, A., Devitt, A., Nowak, J., Patel, N., Pophale, I. & Thorpe, C., 10/04/2024, In: Physical review letters. 132, 15, 151801.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Gauged and historical abrupt wave front floods (‘walls of water’) in Pennine rivers, northern England

Archer, D., Watkiss, S., Warren, S., Lamb, R. & Fowler, H. J., 10/04/2024, (E-pub ahead of print) In: Journal of Flood Risk Management.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Deconstructing Peter Goodrich’s Contract with Law

Campbell, D., 11/04/2024, (E-pub ahead of print) In: Law, Culture and the Humanities.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’

Li, J., Fearnhead, P., Fryzlewicz, P. & Wang, T., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 332-334 3 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Automatic Change-Point Detection in Time Series via Deep Learning

Li, J., Fearnhead, P., Fryzlewicz, P. & Wang, T., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 273-285 13 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review