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[ascl:1907.028] ROHSA: Separation of diffuse sources in hyper-spectral data

ROHSA (Regularized Optimization for Hyper-Spectral Analysis) reveals the statistical properties of interstellar gas through atomic and molecular lines. It uses a Gaussian decomposition algorithm based on a multi-resolution process from coarse to fine grid to decompose any kind of hyper-spectral observations into a sum of coherent Gaussian. Optimization is performed on the whole data cube at once to obtain a solution with spatially smooth parameters.

Code site:
https://github.com/antoinemarchal/ROHSA
Described in:
https://ui.adsabs.harvard.edu/abs/2019A%26A...626A.101M
Bibcode:
2019ascl.soft07028M

Views: 143

ascl:1907.028
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