Quijote-PNG: Optimizing the Summary Statistics to Measure Primordial Non-Gaussianity

Gabriel Jung, Andrea Ravenni, Michele Liguori, Marco Baldi, William R. Coulton, Francisco Villaescusa-Navarro, Benjamin D. Wandelt

Open source

DOI: 10.3847/1538-4357/ad83bd
Published: 2024-11-01
Container: The Astrophysical Journal
Publisher: American Astronomical Society
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3847/1538-4357/ad83bd,
  title = {Quijote-PNG: Optimizing the Summary Statistics to Measure Primordial Non-Gaussianity},
  author = {Gabriel Jung and Andrea Ravenni and Michele Liguori and Marco Baldi and William R. Coulton and Francisco Villaescusa-Navarro and Benjamin D. Wandelt},
  year = {2024},
  journal = {The Astrophysical Journal},
  doi = {10.3847/1538-4357/ad83bd},
  url = {https://doi.org/10.3847/1538-4357/ad83bd}
}

RIS

TY  - JOUR
TI  - Quijote-PNG: Optimizing the Summary Statistics to Measure Primordial Non-Gaussianity
AU  - Gabriel Jung
AU  - Andrea Ravenni
AU  - Michele Liguori
AU  - Marco Baldi
AU  - William R. Coulton
AU  - Francisco Villaescusa-Navarro
AU  - Benjamin D. Wandelt
PY  - 2024
JO  - The Astrophysical Journal
DO  - 10.3847/1538-4357/ad83bd
UR  - https://doi.org/10.3847/1538-4357/ad83bd
ER  -

APA

Jung, G., Ravenni, A., Liguori, M., Baldi, M., Coulton, W. R., Villaescusa-Navarro, F., & Wandelt, B. D. (2024). Quijote-PNG: Optimizing the Summary Statistics to Measure Primordial Non-Gaussianity. The Astrophysical Journal. https://doi.org/10.3847/1538-4357/ad83bd

Source records

crossref · retrieved 2026-09-27T15:19:02.777Z