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Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
KM3NeT Collaboration (Ageron, M. et al); Calvo, D.; Coleiro, A.; Colomer, M.; Gozzini, S.R.; Hernandez-Rey, J.J.; Illuminati, G.; Khan Chowdhury, N.R.; Manczak, J.; Real, D.; Thakore, T.; Zornoza, J.D.; Zuñiga, J. |
Dependence of atmospheric muon flux on seawater depth measured with the first KM3NeT detection units |
2020 |
European Physical Journal C |
80 |
99 - 11pp |
|
|
|
KLOE-2 Collaboration (Babusci, D. et al); Bernabeu, J. |
Direct tests of T, CP, CPT symmetries in transitions of neutral K mesons with the KLOE experiment |
2023 |
Physics Letters B |
845 |
138164 - 11pp |
|
|
|
Kiss, G.G. et al; Tarifeño-Saldivia, A.; Tain, J.L.; Agramunt, J.; Algora, A.; Domingo-Pardo, C.; Morales, A.I.; Nacher, E.; Rubio, B.; Tolosa, A. |
Measuring the beta-decay Properties of Neutron-rich Exotic Pm, Sm, Eu, and Gd Isotopes to Constrain the Nucleosynthesis Yields in the Rare-earth Region |
2022 |
Astrophysical Journal |
936 |
107 - 18pp |
|
|
|
Kirpichnikov, D.V.; Sieber, H.; Molina Bueno, L.; Crivelli, P.; Kirsanov, M.M. |
Probing hidden sectors with a muon beam: Total and differential cross sections for vector boson production in muon bremsstrahlung |
2021 |
Physical Review D |
104 |
076012 - 13pp |
|
|
|
King, S.F.; Molina Sedgwick, S.; Parke, S.J.; Prouse, N.W. |
Effects of matter density profiles on neutrino oscillations for T2HK and T2HKK |
2020 |
Physical Review D |
101 |
076019 - 16pp |
|
|
|
King, S.F.; Marfatia, D.; Rahat, M.H. |
Toward distinguishing Dirac from Majorana neutrino mass with gravitational waves |
2024 |
Physical Review D |
109 |
035014 - 13pp |
|
|
|
Kim, J.S.; Lopez-Fogliani, D.E.; Perez, A.D.; Ruiz de Austri, R. |
The new (g-2)(mu) and right-handed sneutrino dark matter |
2022 |
Nuclear Physics B |
974 |
115637 - 23pp |
|
|
|
Kim, J.S.; Lopez-Fogliani, D.E.; Perez, A.D.; Ruiz de Austri, R. |
Right-handed sneutrino and gravitino multicomponent dark matter in light of neutrino detectors |
2023 |
Journal of Cosmology and Astroparticle Physics |
04 |
050 - 32pp |
|
|
|
Khosa, C.K.; Sanz, V.; Soughton, M. |
Using machine learning to disentangle LHC signatures of Dark Matter candidates |
2021 |
Scipost Physics |
10 |
151 - 26pp |
|
|
|
Khosa, C.K.; Sanz, V.; Soughton, M. |
A simple guide from machine learning outputs to statistical criteria in particle physics |
2022 |
Scipost Physics Core |
5 |
050 - 31pp |
|
