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

10/20/2020
by   Siddharth Mishra-Sharma, et al.
0

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 Milky Way where such emission can make up over 80 photon counts observed at  GeV energies. We introduce a novel class of methods that use Gaussian processes and variational inference to build flexible background and signal models for gamma-ray analyses with the goal of enabling a more robust interpretation of the make-up of the gamma-ray sky, particularly focusing on characterizing potential signals of dark matter in the Galactic Center with data from the Fermi telescope.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset