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Paper

Boosting H→bb¯$$ H\to b\overline{b} $$ with machine learning

by Independent / Community 002b766d7ed4a204f5644877bc2edef8441d76bb

Free2AITools Nexus Index

67.8

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 81

P: Popularity 57

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

A bstractHigh-pT Higgs production at hadron colliders provides a direct probe of the internal structure of the gg → H loop with the H→bb¯$$ H\to b\overline{b} $$ decay offering the most statistics due to the large branching ratio. Despite the overwhelming QCD background, recent advances in jet substructure have put the observation of the gg→H→bb¯$$ gg\to H\to b\overline{b} $$ channel at the LHC within the realm of possibility. In order to enhance the sensitivity to this process, we develop a ...

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Semantic Scholar 28 Citations

Paper Information Summary
Entity Passport
Registry ID	002b766d7ed4a204f5644877bc2edef8441d76bb
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{002b766d7ed4a204f5644877bc2edef8441d76bb,
  author = {Unknown},
  title = {Boosting H→bb¯$$ H\to b\overline{b} $$ with machine learning Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/002b766d7ed4a204f5644877bc2edef8441d76bb}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Boosting H→bb¯$$ H\to b\overline{b} $$ with machine learning [Paper]. Free2AITools. https://api.semanticscholar.org/002b766d7ed4a204f5644877bc2edef8441d76bb

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 81

Popularity (P) 57

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Boosting H→bb¯$$ H\to b\overline{b} $$ with machine learning: Authority (A:81), Popularity (P:57), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

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📝 Executive Summary

"A bstractHigh-pT Higgs production at hadron colliders provides a direct probe of the internal structure of the gg → H loop with the H→bb¯$$ H\to b\overline{b} $$ decay offering the most statistics due to the large branching ratio. Despite the overwhelming QCD background, recent advances in jet substructure have put the observation of the gg→H→bb¯$$ gg\to H\to b\overline{b} $$ channel at the LHC within the realm of possibility. In order to enhance the sensitivity to this process, we develop a ..."

❝ Cite Node

@article{Unknown2026Boosting,
  title={Boosting H→bb¯$$ H\to b\overline{b} $$ with machine learning},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈28CitationsSemantic Scholar

🏛️81AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️automation workflowField

📦Data Source: semantic_scholar

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Source summary: Based on semantic_scholar metadata. Not a recommendation.

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

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downloads: 0
stars: null
forks: null
citations: 28

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