Kyle Cranmer

most citedA neural simulation-based inference approach for characterizing the Galactic Center

γ

-ray excess

44 citations · 48 across the 2 of their papers we have counts for

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astro-ph.HE2021★ 44 cited

A neural simulation-based inference approach for characterizing the Galactic Center $γ$ -ray excess

Siddharth Mishra-Sharma, Kyle Cranmer

The nature of the Fermi gamma-ray Galactic Center Excess (GCE) has remained a persistent mystery for over a decade. Although the excess is broadly compatible with emission expected…

astro-ph.HE2020★ 4 cited

Semi-parametric $γ$ -ray modeling with Gaussian processes and variational inference

Siddharth Mishra-Sharma, Kyle Cranmer

Mismodeling the uncertain, diffuse emission of Galactic origin can seriously bias the characterization of astrophysical gamma-ray data, particularly in the region of the Inner Milk…

A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess

Semi-parametric γ-ray modeling with Gaussian processes and variational inference

A neural simulation-based inference approach for characterizing the Galactic Center $γ$ -ray excess

Semi-parametric $γ$ -ray modeling with Gaussian processes and variational inference