Pith. sign in

REVIEW 1 cited by

Topological heavy-flavor tagging and intrinsic bottom at the Electron-Ion Collider

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2402.11344 v1 pith:HF5IFH27 submitted 2024-02-17 hep-ex hep-phnucl-ex

classification hep-exhep-phnucl-ex
keywords heavy-flavorbottomproductionalgorithmcolliderelectron-ionhadronintrinsic
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Heavy-flavor hadron production, in particular bottom hadron production, is difficult to study in deep-inelastic scattering (DIS) experiments due to small production rates and branching fractions. To overcome these limitations, a method for identifying heavy-flavor DIS events based on event topology is proposed. Based on a heavy-flavor jet tagging strategy developed for the LHCb experiment, this algorithm uses displaced vertices to identify decays of heavy-flavor hadrons. The algorithm's performance at the Electron-Ion Collider is demonstrated using simulation, and it is shown to provide discovery potential for non-perturbative intrinsic bottom quarks in the proton.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings

    cs.AI 2025-05 conditional novelty 4.0 of 10

    DEEVO evolves better LLM prompts by debating outputs and selecting survivors with Elo ratings, without requiring labeled data or a hand-written fitness function.

Pith tools