A differentiable forward model and likelihood enable probabilistic inference over many spatial morphologies for the Galactic Center gamma-ray Excess using variational methods on GPUs.
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MSW resonances in collapsing supermassive stars swap neutrino flavors adiabatically in the normal hierarchy for neutrinos and inverted hierarchy for antineutrinos, altering the initial 5:1 electron-to-muon/tau flux ratio.
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High-dimensional inference for the $\gamma$-ray sky with differentiable programming
A differentiable forward model and likelihood enable probabilistic inference over many spatial morphologies for the Galactic Center gamma-ray Excess using variational methods on GPUs.
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Neutrino Flavor Transformation in Collapsing Supermassive Objects
MSW resonances in collapsing supermassive stars swap neutrino flavors adiabatically in the normal hierarchy for neutrinos and inverted hierarchy for antineutrinos, altering the initial 5:1 electron-to-muon/tau flux ratio.