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Khosa, C. K., Sanz, V., & Soughton, M. (2022). A simple guide from machine learning outputs to statistical criteria in particle physics. SciPost Phys. Core, 5(4), 050–31pp.
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Khosa, C. K., & Sanz, V. (2022). On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios. Adv. High. Energy Phys., 2022, 8970837–13pp.
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Karuseichyk, I., Sorelli, G., Walschaers, M., Treps, N., & Gessner, M. (2022). Resolving mutually-coherent point sources of light with arbitrary statistics. Phys. Rev. Res., 4(4), 043010–11pp.
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Just, O., Abbar, S., Wu, M. R., Tamborra, I., Janka, H. T., & Capozzi, F. (2022). Fast neutrino conversion in hydrodynamic simulations of neutrino-cooled accretion disks. Phys. Rev. D, 105(8), 083024–24pp.
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Jung, S., Lee, J., Perello, M., Tian, J. P., & Vos, M. (2022). Higgs, top quark, and electroweak precision measurements at future e(+) e (-) colliders: A combined effective field theory analysis with renormalization mixing. Phys. Rev. D, 105(1), 016003–38pp.
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