Papers

Applying Simulation-Based Inference to Spectral and Spatial Information from the Galactic Center Gamma-Ray Excess

K Christy, EJ Baxter, J Kumar - arXiv preprint arXiv:2402.04549, 2024 - arxiv.org
Astrophysics paper astro-ph.HE Suggest

… In §4, we describe our application of simulation-based inference to train a neural posterior model that relates data to posterior. We present our main results in §5, and …

Link to paper

BibTeX

@article{2402.04549v2,
Author        = {Katharena Christy and Eric J. Baxter and Jason Kumar},
Title         = {Applying Simulation-Based Inference to Spectral and Spatial Information
  from the Galactic Center Gamma-Ray Excess},
Eprint        = {2402.04549v2},
DOI           = {10.1088/1475-7516/2024/07/066},
ArchivePrefix = {arXiv},
PrimaryClass  = {astro-ph.HE},
Abstract      = {The two most favored explanations of the Fermi Galactic Center gamma-ray
excess (GCE) are millisecond pulsars and self annihilation of the smooth dark
matter halo of the galaxy. In order to distinguish between these possibilities,
we would like to optimally use all information in the available data, including
photon direction and energy information. To date, analyses of the GCE have
generally treated directional and energy information separately, or have
ignored one or the other completely. Here, we develop a method for analyzing
the GCE that relies on simulation-based inference with neural posterior models
to jointly analyze photon directional and spectral information while correctly
accounting for the spatial and energy resolution of the telescope, here assumed
to be the Fermi Large Area Telescope (LAT). Our results also have implications
for analyses of the diffuse gamma-ray background, which we discuss.},
Year          = {2024},
Month         = {Feb},
Note          = {Journal of Cosmology and Astroparticle Physics, 2024(07):066, jul
  2024},
Url           = {http://arxiv.org/abs/2402.04549v2},
File          = {2402.04549v2.pdf}
}

Share