Cita APA (7th ed.)

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.

Cita Chicago (17th ed.)

Peirani, S., S. Prunet, S. Colombi, C. Pichon, DH Weinberg, C. Laigle, G. Lavaux, Y. Dubois, i 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.

Cita MLA (9th ed.)

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.