APRIL augments neural network loss with auxiliary physical redundancy terms to reshape the optimization landscape while preserving the true minimum, yielding up to 10x better accuracy in noise-free gravitational wave parameter estimation for chirp mass, total mass, and mass ratio.
Maggiore,Gravitational Waves: Volume 1: Theory and Experiments
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Black holes in a Chaplygin-like dark fluid have an upper charge bound for horizons of Q ≈ 0.556 M and a critical fluid parameter bound B_c Q_c^4 = 4/3^9 for multi-horizon solutions, with stronger curvature than RNdS.
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APRIL: Auxiliary Physically-Redundant Information in Loss -- A physics-informed framework for parameter estimation with a gravitational-wave case study
APRIL augments neural network loss with auxiliary physical redundancy terms to reshape the optimization landscape while preserving the true minimum, yielding up to 10x better accuracy in noise-free gravitational wave parameter estimation for chirp mass, total mass, and mass ratio.
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Causal structure of black holes immersed in a Chaplygin-like dark fluid environment: Horizons and singularities
Black holes in a Chaplygin-like dark fluid have an upper charge bound for horizons of Q ≈ 0.556 M and a critical fluid parameter bound B_c Q_c^4 = 4/3^9 for multi-horizon solutions, with stronger curvature than RNdS.