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We present FLaREON (Fast Lyman-Alpha Radiative Escape from Outflowing Neutralgas), a public python package that delivers fast and accurate Lyman alphaescape fractions and line profiles over a wide range of outflow geometries andproperties. The code incorporates different algorithms, such as interpolationand machine learning to predict Lyman alpha line properties from a pre-computedgrid of outflow configurations based on the outputs of a Monte Carlo radiativetransfer code. Here we describe the algorithm, discuss its performance andillustrate some of its many applications. Most notably, FLaREON can be used toinfer the physical properties of the outflowing medium from an observed Lymanalpha line profile, including the escape fraction, or it can be run overmillions of objects in a galaxy formation model to simulate the escape of Lymanalpha photons in a cosmological volume.

FLaREON : a fast computation of Ly$\alpha$ escape fractions and line profiles