APA (7th ed.) Citation

Peirani, S., Prunet, S., Colombi, S., Pichon, C., Weinberg, D., Laigle, C., . . . Devriendt, J. (2022). LyMAS reloaded: Improving the predictions of the large-scale Lyman-α forest statistics from dark matter density and velocity fields. Oxford University Press.

Chicago Style (17th ed.) Citation

Peirani, S., S. Prunet, S. Colombi, C. Pichon, DH Weinberg, C. Laigle, G. Lavaux, Y. Dubois, and J. Devriendt. LyMAS Reloaded: Improving the Predictions of the Large-scale Lyman-α Forest Statistics from Dark Matter Density and Velocity Fields. Oxford University Press, 2022.

MLA (9th ed.) Citation

Peirani, S., et al. LyMAS Reloaded: Improving the Predictions of the Large-scale Lyman-α Forest Statistics from Dark Matter Density and Velocity Fields. Oxford University Press, 2022.