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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.

Developer Info

Antoine Marchal

PhD Student in Astrophysics at IAS/CEA