Convolutional non-parametric Gamma-Ray Signal and Background Separation

arXiv:2609.30917 · astro-ph.HE · Submitted 2026-09-25 · Read on arXiv

astro-ph.HE

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Latent Space — 6× in this paper · explained in 7 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 10 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• An Introduction to Variational Autoencoders
• Auto-Encoding Variational Bayes
• The H.E.S.S. Galactic plane survey
• Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks
• Search for dark matter annihilation signals in the H.E.S.S. Inner Galaxy Survey

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