{
  "id": 3868820,
  "title": "Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion",
  "url": "https://urgent.news/2026/08/27/learning-transverse-momentum-distributions-from-raw-scattering-events",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T13:01:49.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.27077v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Extracting transverse momentum dependent parton distribution functions (TMD PDFs) from semi-inclusive deep inelastic scattering (SIDIS) data is a central goal of the nucleon structure program at Jefferson Lab and the future Electron-Ion Collider. Traditional extraction methods rely on parameterized functional forms and iterative fitting, which can limit the flexibility of the resulting…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}