{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreieayo2bwngy6ahezqup2gaowonzkjlnnl4cyi74uhkp36uwukmjte",
    "uri": "at://did:plc:6meyjxuv2pgn5kdeqbrfjegf/app.bsky.feed.post/3mlg3kco3bap2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreiabvogax35cue46gpxk6f4c3c2wag7uh4jkkx47mcmcxcqqzpfjty"
    },
    "mimeType": "image/jpeg",
    "size": 148606
  },
  "path": "/news/research/2026/05/new-machine-learning-method-improves-icecubes-estimation-of-neutrino-direction/",
  "publishedAt": "2026-05-08T18:45:41.000Z",
  "site": "https://icecube.wisc.edu",
  "tags": [
    "Research",
    "Read More »"
  ],
  "textContent": "The IceCube Neutrino Observatory, a cubic-kilometer array of optical sensors buried in Antarctic ice, detects elusive subatomic particles called neutrinos. When a neutrino interacts with a molecule of ice, it produces secondary particles that emit blue light, which is then detected by IceCube. Known as an “event,” its signals or light patterns are used to [...]\n\nRead More »",
  "title": "New machine-learning method improves IceCube’s estimation of neutrino direction"
}