Publishing unbinned differential cross section results

Publishing unbinned differential cross section results

<jats:title>Abstract</jats:title> <jats:p>Machine learning tools have empowered a qualitatively new way to perform differential cross section measurements whereby the data are unbinned, possibly in many dimensions. Unbinned measurements can enable, improve, or at least simplify com...

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Main Authors: Arratia, Miguel (Author), Butter, Anja (Author), Campanelli, Mario (Author), Croft, Vincent (Author), Gillberg, Dag (Author), Ghosh, Aishik (Author), Lohwasser, Kristin (Author), Malaescu, Bogdan (Author), Mikuni, Vinicius (Author), Nachman, Benjamin (Author), Rojo, Juan (Author), Thaler, Jesse (Author), Winterhalder, Ramon (Author)
Format: Article
Language:English
Published: IOP Publishing, 2022-05-02T19:02:08Z.
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