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Publications using LyMAS


  1. ''Forecasts for WEAVE-QSO: 3D clustering and connectivity of critical points with Lyman-α tomography''
    K. Kraljic, C. Laigle, C. Pichon, S. Peirani, S. Codis, J. Shim, C. Cadiou, D. Pogosyan, S. Arnouts, M. Pieri, V. Irsic, S. Morrison, J. Onorbe, I. Perez-Rafols and G. Dalton
    2022, MNRAS, 514, 1359 [link to ADS]

  1. ''LyMAS reloaded: improving the predictions of the large-scale Lyman-α forest statistics from dark matter density and velocity fields''
    S. Peirani, S. Prunet, S. Colombi, C. Pichon, D.W. Weinberg, C. Laigle, Y. Dubois and J. Devriendt
    2022, MNRAS, 514, 3222 [link to ADS]

  1. ''UV Background Fluctuations and Three-Point Correlations in the Large Scale Clustering of the Lyman-alpha Forest''
    S.S. Tie, D.H. Weinberg, P. Martini, W. Zu, S. Peirani, T. Suarez & S. Colombi
    2019, MNRAS, 487, 5346 [link to ADS]

  1. ''MApping the Most Massive Overdensities Through Hydrogen (MAMMOTH) I: Methodology''
    Z. Cai, X. Fan, S. Peirani, F. Bian, B. Frye, I. McGreer, J.X. Prochaska, M. Wingyee Lau, N. Tejos, S. Ho & D.P. Schneider,
    2016, ApJ, 833, 135 [paper]

  1. ''Modeling Lyman-α Forest Cross-Correlation with LyMAS''
    C. Lochhaas, D.H. Weinberg, S. Peirani, Y. Dubois, S. Colombi, J. Blaizot, A. Font-Ribera, C. Pichon & J. Devriendt
    2016, MNRAS, 461, 4353 [paper], [youtube]

  1. ''LyMAS: Predicting Large-Scale Lyα Forest Statistics from the Dark Matter Density Field''
    S. Peirani, D. H. Weinberg, S. Colombi, J. Blaizot, Y. Dubois & C. Pichon
    2014, ApJ, 784, 11 [paper]

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