DANSur HM: Modularly incorporating higher modes in a deep learning based gravitational-wave surrogate

arXiv:2609.03025 · gr-qc, astro-ph.HE, astro-ph.IM · Submitted 2026-09-02 · Read on arXiv

gr-qc, astro-ph.HE, astro-ph.IM

Submitted: 2026-09-02

Updated: 2026-09-15

Comments: Added github link

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 12× in this paper · explained in 1 episode
Fine-Tuning — 7× in this paper · explained in 5 episodes
Fidelity — 4× in this paper · explained in 2 episodes
Loss Function — 4× in this paper · explained in 2 episodes
Two-stage training — 3× in this paper · explained in 2 episodes
Activation Function — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Core — 2× in this paper · explained in 2 episodes
Modularity — 2× in this paper · explained in 9 episodes
Two-Stage Training Strategy — 2× in this paper · explained in 3 episodes
Academia Sinica — 1× in this paper
Bayesian Inference — 1× in this paper · explained in 5 episodes
Gaussian Error Linear Unit — 1× in this paper
Mean Absolute Error — 1× in this paper
Multi-Layer Perceptron — 1× in this paper
Sparsity — 1× in this paper · explained in 4 episodes

Sources

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