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Evaluating awkward arrays, uproot, and coffea as a query platform for High Energy Physics data
Query languages for High Energy Physics (HEP) are an ever present topic within the field. A query language that can efficiently represent the nested data structures that encode the statistical and physical meaning of HEP data will help analysts by ensuring their code is more clear and pertinent. As...
| Autores principales: | , |
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/2438/1/012033 http://cds.cern.ch/record/2806236 |