Restricting CP violation in the low-scale type-I seesaw with three right-handed neutrinos to the Dirac phase δ alone yields specific testable subregions of heavy-neutrino flavor mixings and permits low-scale leptogenesis to generate the observed baryon asymmetry even for O(10^{-5}) deviations from C
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Tera-Z factories can produce millions of heavy neutral leptons and billions of axion-like particles under optimistic assumptions, turning them into exotics factories for discovery and detailed study.
Dynamical inverse seesaw predicts low-frequency stochastic GW signals from a first-order phase transition, with complementarity to heavy neutral lepton searches at small active-sterile mixing.
ULYSSES v3 extends an open-source Python toolkit to numerically solve leptogenesis equations in resonant low-scale and high-scale regimes with updated interfaces and cross-checks.
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Dirac-Phase CP-Violation in the Low-Scale Type-I Seesaw with Three Right-Handed Neutrinos
Restricting CP violation in the low-scale type-I seesaw with three right-handed neutrinos to the Dirac phase δ alone yields specific testable subregions of heavy-neutrino flavor mixings and permits low-scale leptogenesis to generate the observed baryon asymmetry even for O(10^{-5}) deviations from C
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New Particles at the Z-Pole: Tera-Z factories as discovery and precision machines
Tera-Z factories can produce millions of heavy neutral leptons and billions of axion-like particles under optimistic assumptions, turning them into exotics factories for discovery and detailed study.
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Probing Dynamical Inverse Seesaw with Low-frequency Gravitational Waves
Dynamical inverse seesaw predicts low-frequency stochastic GW signals from a first-order phase transition, with complementarity to heavy neutral lepton searches at small active-sterile mixing.
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ULYSSES the Third: An Odyssey Towards a Unified Python Toolkit for Leptogenesis
ULYSSES v3 extends an open-source Python toolkit to numerically solve leptogenesis equations in resonant low-scale and high-scale regimes with updated interfaces and cross-checks.