mlsanityData to 7 Oct 2026

Observation of high-energy neutrinos from the Galactic plane

arXiv 2307.04427 ↗First posted 10 Jul 2023astro-ph.HE astro-ph.GA cs.LGcited by 4

Not on the map. Why?

Abstract (arXiv)

The origin of high-energy cosmic rays, atomic nuclei that continuously impact Earth's atmosphere, has been a mystery for over a century. Due to deflection in interstellar magnetic fields, cosmic rays from the Milky Way arrive at Earth from random directions. However, near their sources and during propagation, cosmic rays interact with matter and produce high-energy neutrinos. We search for neutrino emission using machine learning techniques applied to ten years of data from the IceCube Neutrino Observatory. We identify neutrino emission from the Galactic plane at the 4.5σ level of significance, by comparing diffuse emission models to a background-only hypothesis. The signal is consistent with modeled diffuse emission from the Galactic plane, but could also arise from a population of unresolved point sources.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 1 of its 40 references that are in the map. First posted on arXiv 10 Jul 2023.

Builds on

1 of 40 references.

References · 1

  1. 2021Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCubecited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2025MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networkscited by 2
  2. 2026Neural posterior estimation of the neutrino direction in IceCube using transformer-encoded normalizing flows on the spherecited by 1
  3. 2024Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolutioncited by 0
  4. 2025NuBench: An Open Benchmark for Deep Learning-Based Event Reconstruction in Neutrino Telescopescited by 0