English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The detection of dark matter subhalos without a stellar component in theGalactic halo remains a challenge. We use supervised machine learning toidentify high-latitude gamma-ray sources with dark matter-like spectra amongunassociated gamma-ray sources in the 4FGL-DR2. Out of 843 4FGL-DR2unassociated sources at $|b| \geq 10\mathrm{^\circ}$, we select 73 dark mattersubhalo candidates. Of the 69 covered by the Neil Gehrels Swift Observatory(Swift), 17 show at least one X-ray source within the 95% LAT error ellipse and52 where we identify no new sources. This latest inventory of dark subhaloscandidates allows us to investigate the possible dark matter substructureresponsible for the perturbation in the GD-1 stellar stream. In particular, weexamine the possibility that the alleged GD-1 dark subhalo may appear as a4FGL-DR2 gamma-ray source from dark matter annihilation into Standard Modelparticles.

Machine-Learned Dark Matter Subhalo Candidates in the 4FGL-DR2: Search for the Perturber of the GD-1 Stream