A PINN approach learns galactic gravitational potentials from acceleration data, achieving sub-percent errors on simulations while outperforming analytic models and retaining interpretability via structured priors.
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Lazuli is proposed as a space observatory combining flagship sensitivity with response times one to two orders of magnitude faster than current large facilities to enable new time-domain and multi-messenger science.
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Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks
A PINN approach learns galactic gravitational potentials from acceleration data, achieving sub-percent errors on simulations while outperforming analytic models and retaining interpretability via structured priors.
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The Lazuli Space Observatory: Opportunities for time-domain and multi-messenger astronomy
Lazuli is proposed as a space observatory combining flagship sensitivity with response times one to two orders of magnitude faster than current large facilities to enable new time-domain and multi-messenger science.