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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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PYTHIA6 Dataset: Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics

Research datakeyboard_double_arrow_right Dataset 15 Jan 2023Publisher:Zenodo
Authors: Lee, Kyle; Mulligan, James; Ploskon, Mateusz; Ringer, Felix; Yuan, Feng;

doi: 10.5281/zenodo.7538810 , 10.5281/zenodo.7538809

PYTHIA6 Dataset: Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics

Abstract

Dataset corresponding to: https://inspirehep.net/literature/2164495 The data set contains PYTHIA6 jets in ep collisions, with separate files for LO DIS and photoproduction samples. For further details about the data set, see https://inspirehep.net/literature/2164495. Examples of how to analyze the data set can be found at: https://github.com/jdmulligan/ml-eic-flavor. Please contact james.mulligan@berkeley.edu with any questions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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