arXiv (All)
open access
Mathematical inverse problem for the world data inference of the parton distribution functions of the proton
We show that the inference problem of constraining the parton distribution functions of the proton from deeply inelastic scattering data can be formulated as a linear tensor reconstruction inverse problem. This means that instead of fitting model parameters to the world data, a reconstructive approa
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Non-global logarithms and fiducial transverse-momentum-dependent observables in deep-inelastic scattering#1131724
- Nuclear Deep Inelastic Scattering around $x=0.3$#1143220
- Doubling down on proton structure: what double parton scattering can and cannot tell us about partonic separation#998745
- A Model-Informed Deep Learning Algorithm for Solving the Phaseless Inverse Scattering Problem#1117782
- Impact of jet-production data on the next-to-next-to-leading-order determination of HERAPDF2.0 parton distributions#1119941
Record · ID 999574
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive