ORIGIN is a software to perform blind detection of faint emitters in MUSE datacubes.
The algorithm is tuned to efficiently detects faint spatial-spectral emission signatures, while allowing for a stable false detection rate over the data cube and providing in the same time an automated and reliable estimation of the purity.
The algorithm implements :
1. A nuisance removal part based on a continuum subtraction combining a Discrete Cosine Transform and an iterative Principal Component Analysis,
2. A detection part based on the local maxima of Generalized Likelihood Ratio test statistics obtained for a set of spatial-spectral profiles of emission line emitters,
3. A purity estimation part, where the proportion of true emission lines is estimated from the data itself: the distribution of the local maxima in the noise only configuration is estimated from that of the local minima.
ORIGIN is presented in the following paper: Mary et al., A&A, 2020
