Dataset: triceratops.zip, 874.5 KB Access Condition: Open access
Please login to the repository to save this object to your list.
Cite this document
Vlah, Z., Chen, S. F. & White, M. (2024). Code triceratops that computes the bispectrum in Zeldovich approximation [Data set]. https://urn.nsk.hr/urn:nbn:hr:241:312932.
Vlah, Zvonimir, et al. Code triceratops that computes the bispectrum in Zeldovich approximation. Institut Ruđer Bošković, 2024. 20 Feb 2025. https://urn.nsk.hr/urn:nbn:hr:241:312932.
Vlah, Zvonimir, Shi Fan Chen, and Martin White. 2024. Code triceratops that computes the bispectrum in Zeldovich approximation. Institut Ruđer Bošković. https://urn.nsk.hr/urn:nbn:hr:241:312932.
Vlah, Z., Chen, S. F. and White, M. 2024. Code triceratops that computes the bispectrum in Zeldovich approximation. Institut Ruđer Bošković. [Online]. [Accessed 20 February 2025]. Available from: https://urn.nsk.hr/urn:nbn:hr:241:312932.
Vlah Z, Chen SF, White M. Code triceratops that computes the bispectrum in Zeldovich approximation. [Internet]. Institut Ruđer Bošković; 2024, [cited 2025 February 20] Available from: https://urn.nsk.hr/urn:nbn:hr:241:312932.
Z. Vlah, S. F. Chen and M. White, Code triceratops that computes the bispectrum in Zeldovich approximation, Institut Ruđer Bošković, 2024. Accessed on: Feb 20, 2025. Available: https://urn.nsk.hr/urn:nbn:hr:241:312932.
Shi-Fan Chen School of Natural Sciences, Institute for Advanced Study, Princeton
Author
Martin White Department of Physics, University of California, Berkeley
Scientific / art field, discipline and subdiscipline
NATURAL SCIENCES Physics Astronomy and Astrophysics
Abstract (english)
This code accompanies the work published in the paper by S. Chen, Z. Vlah and M. White:
The bispectrum in Lagrangian perturbation theory,
Published in: JCAP 11 (2024) 012, e-Print: 2406.00103 (https://arxiv.org/abs/2406.00103).
It contains Python scripts zeldovich_bispectrum.py and zeldovich_bispectrum_ept.py to compute the Zeldovich bispectrum
in Lagrangian and Eulerian perturbation theory (tree-level), respectively,
and Jupyter/Python notebooks that show our numerical results and plots from the paper.
In the interest of open and reproducible research, the code is also available on GitHub (https://github.com/sfschen/triceratops)
Code requires NumPy, SciPy, pyFFTW, and velocileptors to run (all the dependencies are publically available).
For more details, see the linked paper.