LyMAS is an efficient method of predicting clustering statistics
in the Lyman-α forest on large scales from moderate resolution
simulations of the dark matter distribution, with calibration
from high-resolution hydrodynamic simulations of smaller volumes.
LyMAS refers to "limace" which means slug in french.
Here are slides of a seminar dedicated to the LyMAS method:
(TALK)