ROHSA (Regularized Optimization for Hyper-Spectral Analysis) was developped in Paris-Saclay University
(IAS/CEA) to study the statistical properties of interstellar gas through atomic and molecular lines.
This code is a "Gaussian Decomposition Algorithm" designed to decompose any kind of hyper-spectral
observations into a sum of coherent Gaussian. It is written in Fortran 90 on CPU. An extended version
with GPU implementation is currently in development.
Exemple of a three componant Gaussian decomposition with ROHSA.
This work is part of the Hyperstars project supported by MASTODONS.