Aframe neural network achieves matched-filter sensitivity for binary neutron star GW searches at lower computational cost using heterodyning and a single GPU.
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Contracting (A)dS Yang-Mills to Poincaré yields a Hamiltonian gravity model with two physical degrees of freedom when a Lorentz-covariant gauge selects the non-propagating torsion sector.
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AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity
Aframe neural network achieves matched-filter sensitivity for binary neutron star GW searches at lower computational cost using heterodyning and a single GPU.
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Hamiltonian formulation of a gravity model from (A)dS Yang-Mills theory
Contracting (A)dS Yang-Mills to Poincaré yields a Hamiltonian gravity model with two physical degrees of freedom when a Lorentz-covariant gauge selects the non-propagating torsion sector.