Cita APA (7a 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 Style (17a ed.)

Peirani, S., S. Prunet, S. Colombi, C. Pichon, DH Weinberg, C. Laigle, G. Lavaux, Y. Dubois, y 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 (9a 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.