ON
← Back to feed
Dark matter cannot be ruled out as cause of gamma ray glow at the Milky Way's center, machine learning shows
United Kingdom🔬 Science17 days ago

Dark matter cannot be ruled out as cause of gamma ray glow at the Milky Way's center, machine learning shows

An international team of researchers from the University of Vienna and Lawrence Berkeley National Laboratory has used machine learning to analyze the Galactic Center Excess (GCE), a mysterious gamma-ray glow at the center of the Milky Way. Their findings suggest that dark matter cannot yet be ruled out as a possible explanation for the phenomenon. The GCE could also be caused by a large number of millisecond pulsars. The study was published in the journal Physical Review Letters.

How each side covered it

The same event, grouped by the political lean of the outlets covering it.

How each side covered it

Support independent, bias-aware news and unlock the social pulse, community voting, and your personalized For You feed.

Become a Supporter

Covered around the world

The same event as reported in other countries.

Covered around the world

Support independent, bias-aware news and unlock the social pulse, community voting, and your personalized For You feed.

Become a Supporter

1 reports

Phys.org logoPhys.orgIndependentCenterFactual 95Objective 9217 days ago
Dark matter cannot be ruled out as cause of gamma ray glow at the Milky Way's center, machine learning shows

An international team of researchers from the University of Vienna and Lawrence Berkeley National Laboratory has used machine learning to analyze the Galactic Center Excess (GCE), a mysterious gamma-ray glow at the center of the Milky Way. Their findings suggest that dark matter cannot yet be ruled out as a possible explanation for the phenomenon. The GCE could also be caused by a large number of millisecond pulsars. The study was published in the journal Physical Review Letters.

Bias read (Center): The article presents scientific findings without overt ideological framing. It discusses competing hypotheses (dark matter vs. millisecond pulsars) neutrally and does not favor one over the other. The language is technical and objective, focusing on the methodology and implications of the research.

Why these scores (Factual 95 · Objective 92): Highly factual with clear references to the study and methodology. Slightly biased toward the dark matter interpretation but remains mostly neutral.

Keep the news honest.

ObjectiveNews is reader-funded and ad-free — we show you the bias instead of hiding it. Support independent journalism for €5/month.

Become a Supporter

Related stories