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[ascl:1601.003] SCOUSE: Semi-automated multi-COmponent Universal Spectral-line fitting Engine

The Semi-automated multi-COmponent Universal Spectral-line fitting Engine (SCOUSE) is a spectral line fitting algorithm that fits Gaussian files to spectral line emission. It identifies the spatial area over which to fit the data and generates a grid of spectral averaging areas (SAAs). The spatially averaged spectra are fitted according to user-provided tolerance levels, and the best fit is selected using the Akaike Information Criterion, which weights the chisq of a best-fitting solution according to the number of free-parameters. A more detailed inspection of the spectra can be performed to improve the fit through an iterative process, after which SCOUSE integrates the new solutions into the solution file.

Code site:
https://github.com/jdhenshaw/SCOUSE
Described in:
http://adsabs.harvard.edu/abs/2016MNRAS.457.2675H
Bibcode:
2016ascl.soft01003H

Views: 1813

ascl:1601.003
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