PPO reinforcement learning accelerates identification of gravitational wave signals from supercooled phase transitions in a minimal dark U(1)_x sector compared to Monte Carlo sampling.
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Radiative barriers in SUSY flat directions enable supercooled PTs yielding Ω_GW h² up to ~3e-10 for M_λ̃/v_X in 0.05-0.23, with the hidden sector also reproducing Ω_CDM h²=0.12 for m_q ~30-800 keV.
In a B-L conserving SM extension with U(1)_x dark sector, CP-violating Yukawas generate opposite lepton asymmetries in visible and hidden sectors that sphalerons convert to baryon asymmetry, with gauge-independent bubble nucleation yielding stochastic GW spectra valid in supercooled regimes and a参数s
citing papers explorer
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Supercool with PPO: Exploring Supercooled Phase Transitions via Reinforcement Learning
PPO reinforcement learning accelerates identification of gravitational wave signals from supercooled phase transitions in a minimal dark U(1)_x sector compared to Monte Carlo sampling.
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Natural Supercooling and Reheating along Supersymmetric Flat Directions and Observable Gravitational Waves at the Einstein Telescope and the Cosmic Explorer
Radiative barriers in SUSY flat directions enable supercooled PTs yielding Ω_GW h² up to ~3e-10 for M_λ̃/v_X in 0.05-0.23, with the hidden sector also reproducing Ω_CDM h²=0.12 for m_q ~30-800 keV.
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Gauge-independent Gravitational Waves from Cogenesis in a $B-L$ Conserving Universe
In a B-L conserving SM extension with U(1)_x dark sector, CP-violating Yukawas generate opposite lepton asymmetries in visible and hidden sectors that sphalerons convert to baryon asymmetry, with gauge-independent bubble nucleation yielding stochastic GW spectra valid in supercooled regimes and a参数s