LHC vector boson fusion searches enhanced by machine learning can probe substantial regions of cosmologically viable parameter space for freeze-in dark matter mediated by a spin-2 particle.
Donoghue, Phys
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Analytic black-hole solutions are reconstructed via conservation laws from variational symmetries in symmetric teleparallel scalar-tensor gravity, and the theory is shown to support viable compact-star interiors matched to extremal Reissner-Nordström exteriors.
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Probing Freeze-In Dark Matter via a Spin-2 Portal at the LHC with Vector Boson Fusion and Machine Learning
LHC vector boson fusion searches enhanced by machine learning can probe substantial regions of cosmologically viable parameter space for freeze-in dark matter mediated by a spin-2 particle.
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Compact Stars in Symmetric Teleparallel Scalar-Tensor Gravity
Analytic black-hole solutions are reconstructed via conservation laws from variational symmetries in symmetric teleparallel scalar-tensor gravity, and the theory is shown to support viable compact-star interiors matched to extremal Reissner-Nordström exteriors.