LAUSR

Turbulence compensation in astronomy using adaptive optics depends on the use of tomographic techniques to work on wide fields of view. However, classic tomographic methods are computer intensive and consume too much memory to store the tomographic matrix. Recently, various methods have been proposed in an attempt to reduce memory requirements, for example using sparse methods. In this work, we propose a new alternative method that avoids matrices altogether, is faster than classical methods for big systems, and have a very small memory requirement to implement.