arXiv (All)
open access
Reconstructing short-lived particles using hypergraph representation learning
In collider experiments, the kinematic reconstruction of heavy, short-lived particles is vital for precision tests of the Standard Model and in searches for physics beyond it. Performing kinematic reconstruction in collider events with many final-state jets, such as the all-hadronic decay of top-ant
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
- Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion#1013085
- Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion#965408
- Toward an artificial intelligence physicist for unsupervised learning#964486
- New particle searches#321955
- Retimed Bellman Flows: Escaping the Impossible Triangle of Velocity Bootstrapping#1117159
Record · ID 1077814
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