One-loop corrections in a hybrid inflation model with right-handed neutrinos produce a red-tilted spectrum and suppressed tensor-to-scalar ratio consistent with current CMB data, while machine learning identifies roughly 15% of the parameter space as viable.
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Radiatively Corrected Hybrid Inflation: Parameter Scans and Machine Learning with ACT and Future CMB Experiments
One-loop corrections in a hybrid inflation model with right-handed neutrinos produce a red-tilted spectrum and suppressed tensor-to-scalar ratio consistent with current CMB data, while machine learning identifies roughly 15% of the parameter space as viable.