Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks

M. Ullmo, E. Moulin

Open source

DOI: 10.1088/1475-7516/2025/01/014
Published: 2025-01-01
Container: Journal of Cosmology and Astroparticle Physics
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1475-7516/2025/01/014,
  title = {Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks},
  author = {M. Ullmo and E. Moulin},
  year = {2025},
  journal = {Journal of Cosmology and Astroparticle Physics},
  doi = {10.1088/1475-7516/2025/01/014},
  url = {https://doi.org/10.1088/1475-7516/2025/01/014}
}

RIS

TY  - JOUR
TI  - Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks
AU  - M. Ullmo
AU  - E. Moulin
PY  - 2025
JO  - Journal of Cosmology and Astroparticle Physics
DO  - 10.1088/1475-7516/2025/01/014
UR  - https://doi.org/10.1088/1475-7516/2025/01/014
ER  -

APA

Ullmo, M., & Moulin, E. (2025). Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks. Journal of Cosmology and Astroparticle Physics. https://doi.org/10.1088/1475-7516/2025/01/014

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crossref · retrieved 2026-11-08T01:13:32.506Z