arXiv (All)
open access
IRIS-HEP 2026 Statistical Ecosystem Blueprint White Paper
This white paper presents the current status of the ecosystem of statistical tools used in High Energy Physics (HEP), and attempts to summarize the views on the future R&D directions. These views have been collected during the latest IRIS-HEP statistical ecosystem blueprint, which took place in Febr
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
- Reliable LLM-Generated Programs for High-Energy Physics Experiments through Graph-Grounded Software Knowledge#821073
- Source data and code for "Forecasting carbon-risk hotspots ahead of the extreme 2026 El Niño"#1175009
- Statistical physics and resource investments in networks for the energy transition#14297
- Search for new physics at LEP#210612
- cmip5 output1 NASA-GISS GISS-E2-H rcp26#1025812
Record · ID 1033774
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