A Clustering Analysis of the Morphology of the 130 GeV Gamma-Ray Feature
Eric Carlson, Tim Linden, Stefano Profumo, Christoph Weniger

TL;DR
This study uses clustering analysis on Fermi-LAT gamma-ray data to investigate the morphology of the 130 GeV line photons, providing evidence against astrophysical sources like pulsars and supporting a potential dark matter origin.
Contribution
The paper applies the DBSCAN clustering algorithm to gamma-ray data to statistically rule out point-source astrophysical backgrounds for the 130 GeV line feature.
Findings
Clustering analysis rules out 1-4 point sources as the origin of the line.
The results strongly disfavor pulsar wind origins for the gamma-ray line.
Future observations with Cherenkov Telescopes will enable even more stringent tests.
Abstract
Recent observations indicating the existence of a monochromatic gamma-ray line with energy ~130 GeV in the Fermi-LAT data have attracted great interest due to the possibility that the line feature stems from the annihilation of dark matter particles. Many studies examining the robustness of the putative line-signal have concentrated on its spectral attributes. Here, we study the morphological features of the gamma-ray line photons, which can be used to differentiate a putative dark matter signal from astrophysical backgrounds or instrumental artifacts. Photons stemming from dark matter annihilation will produce events tracing a specific morphology, with a statistical clustering that can be calculated based on models of the dark matter density profile in the inner Galaxy. We apply the DBSCAN clustering algorithm to Fermi gamma-ray data, and show that we can rule out the possibility that…
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