Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC Article Swipe
Andris Huang
,
X. Ju
,
Jacob Lyons
,
Daniel Murnane
,
M. Pettee
,
Landon Reed
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1748-0221/18/07/p07001
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1748-0221/18/07/p07001
We present a new algorithm that identifies reconstructed jets originating from hadronic decays of tau leptons against those from quarks or gluons. No tau lepton reconstruction algorithm is used. Instead, the algorithm represents jets as heterogeneous graphs with tracks and energy clusters as nodes and trains a Graph Neural Network to identify tau jets from other jets. Different attributed graph representations and different GNN architectures are explored. We propose to use differential track and energy cluster information as node features and a heterogeneous sequentially-biased encoding for the inputs to final graph-level classification.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1748-0221/18/07/p07001
- OA Status
- gold
- Cited By
- 7
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382937744
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4382937744Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1748-0221/18/07/p07001Digital Object Identifier
- Title
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Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHCWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-07-01Full publication date if available
- Authors
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Andris Huang, X. Ju, Jacob Lyons, Daniel Murnane, M. Pettee, Landon ReedList of authors in order
- Landing page
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https://doi.org/10.1088/1748-0221/18/07/p07001Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://escholarship.org/uc/item/3b9227w8Direct OA link when available
- Concepts
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Lepton, Physics, Particle physics, Large Hadron Collider, Quark, Vertex (graph theory), Graph, Computer science, Theoretical computer science, Nuclear physics, ElectronTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 4Per-year citation counts (last 5 years)
- References (count)
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4211046286, https://openalex.org/W2151512268, https://openalex.org/W2114454270, https://openalex.org/W2182927726, https://openalex.org/W2277285854, https://openalex.org/W2902501548, https://openalex.org/W3017269241, https://openalex.org/W4292697871, https://openalex.org/W2743153918, https://openalex.org/W4281761072, https://openalex.org/W4212866884, https://openalex.org/W3101000142, https://openalex.org/W2903443108, https://openalex.org/W2758578528, https://openalex.org/W2792901863, https://openalex.org/W2987115272, https://openalex.org/W3015519325, https://openalex.org/W2252934528, https://openalex.org/W4221151198, https://openalex.org/W3045164669, https://openalex.org/W4322095660, https://openalex.org/W2974442227, https://openalex.org/W2125102738, https://openalex.org/W1987435915, https://openalex.org/W2100507804, https://openalex.org/W2165037242, https://openalex.org/W2148539882, https://openalex.org/W6810931306, https://openalex.org/W2064675550, https://openalex.org/W2895846750, https://openalex.org/W2916245928, https://openalex.org/W2741476055, https://openalex.org/W4225852041, https://openalex.org/W3099447626, https://openalex.org/W3101501459, https://openalex.org/W4225361446, https://openalex.org/W3101073376 |
| referenced_works_count | 37 |
| abstract_inverted_index.a | 3, 47, 82 |
| abstract_inverted_index.No | 23 |
| abstract_inverted_index.We | 1, 68 |
| abstract_inverted_index.as | 35, 43, 78 |
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| abstract_inverted_index.of | 14 |
| abstract_inverted_index.or | 21 |
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| abstract_inverted_index.GNN | 64 |
| abstract_inverted_index.and | 40, 45, 62, 74, 81 |
| abstract_inverted_index.are | 66 |
| abstract_inverted_index.for | 86 |
| abstract_inverted_index.new | 4 |
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| abstract_inverted_index.jets | 9, 34, 54 |
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| abstract_inverted_index.graphs | 37 |
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| abstract_inverted_index.tracks | 39 |
| abstract_inverted_index.trains | 46 |
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| abstract_inverted_index.leptons | 16 |
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| abstract_inverted_index.features | 80 |
| abstract_inverted_index.hadronic | 12 |
| abstract_inverted_index.identify | 52 |
| abstract_inverted_index.Different | 58 |
| abstract_inverted_index.algorithm | 5, 27, 32 |
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| abstract_inverted_index.reconstruction | 26 |
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| abstract_inverted_index.representations | 61 |
| abstract_inverted_index.sequentially-biased | 84 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5030716890 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I148283060 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8500000238418579 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.93964488 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |