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Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2

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Maximizing Boosted Top Identification by Minimizing N-subjettiness, and . (2011)cite arxiv:1108.2701Comment: 32 pages, 15 figures, 3 tables; v2: references added, small clarifications, additional figure.Precision Jet Substructure from Boosted Event Shapes, , , and . (2012)cite arxiv:1204.3898Comment: 5 pages, 7 figures.Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2, , , , , , , , , and 132 other author(s). (2020)cite arxiv:2003.07868Comment: 56 pages, arXiv metadata corrected, contents unchanged.Editorial: Efficient AI in particle physics and astrophysics., , , , and . Frontiers Artif. Intell., (2022)Jet Trimming, , and . (2009)cite arxiv:0912.1342Comment: 20 pages, 11 figures, 3 tables - Minor changes to text/figures.EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets., , and . CoRR, (2023)Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling., , and . CoRR, (2024)Identifying Boosted Objects with N-subjettiness, and . (2010)cite arxiv:1011.2268Comment: 26 pages, 26 figures, 2 tables; v2: references added; v3: discussion of results extended.SHAPER: Can You Hear the Shape of a Jet?, , , , and . CoRR, (2023)Institute for Artificial Intelligence and Fundamental Interactions (IAIFI): Infusing physics intelligence into artificial intelligence., , and . AI Mag., 45 (1): 111-116 (2024)