"Towards a method to anticipate dark matter signals with deep learning at ..."

Ernesto Arganda et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-10-02

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2105-12018
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2105-12018
Ernesto Arganda, Anibal D. Medina, Andres D. Perez, Alejandro Szynkman:
Towards a method to anticipate dark matter signals with deep learning at the LHC. CoRR abs/2105.12018 (2021)

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