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Dark SU(2) gauge symmetry and scotogenic Dirac neutrinos
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Portal matter, kinetic mixing, and muon g − 2
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Hunting for an EMC–like effect for antiquarks
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Searching for muonic forces with the ATLAS detector
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Efficient neutrino oscillation parameter inference using Gaussian processes
The unified approach of Feldman and Cousins allows for exact statistical inference of small signals that commonly arise in high energy physics. It has gained widespread use, for instance, in measurements of neutrino oscillation parameters in long-baseline experiments. However, the approach relies on the Neyman construction of the classical confidence interval and is computationally intensive as it is typically done in a grid-based fashion over the entire parameter space. In this article, we propose an efficient algorithm for the Feldman-Cousins approach using Gaussian processes to construct confidence intervals iteratively. Further, we show that in the neutrino oscillation context, one can obtain confidence intervals fives times faster in one dimension and ten times faster in two dimensions, while maintaining an accuracy above 99.5%.
g − 2 of charged leptons, α ( M Z 2 ) , and the hyperfine splitting of muonium
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Migdal effect and photon bremsstrahlung in effective field theories of dark matter direct detection and coherent elastic neutrino-nucleus scattering
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Inelastic extra U ( 1 ) charged scalar dark matter
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Search for baryon and lepton number violating decays D + → Λ ¯ ( Σ ¯ 0 ) e + and D + → Λ ( Σ 0 ) e +
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Search for the rare decay η ′ → π 0 π 0 π 0 π 0 at BESIII
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Trigger strategy for displaced muon pairs following the CMS phase II upgrades
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Energy momentum tensor and the D term in the bag model
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Adiabatic electroweak baryogenesis driven by an axionlike particle
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Gravitational wave and collider searches for electroweak symmetry breaking patterns
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Bayesian analysis of b → s μ + μ − Wilson coefficients using the full angular distribution of Λ b → Λ ( → p π − ) μ + μ − decays
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