Welcome to ENIIGMA fitting tool documentation!
Introduction
ENIIGMA is a Python code for the d(E)compositio(N) of (I)nfrared (I)ce spectra using (G)enetic (M)odelling (A)lgorithm.
An internal library containing infrared spectrum of ice data taken from public databases is used to deompose the input spectra.
The genetic algorithm module run the Pyevolve Python package and give the global minimum solution for the spectral decomposition after several generations. More about Pyevolve.
Once the ENIIGMA fitting tool has finished the spectral decomposition, an statistical can be performed to calculate: 1. the confidence interval, 2. the ice column density, and 3. the degeneracy using pie chart and histograms.
Other functionalities of the ENIIGMA fitting tool regards to the spectral continuum calculation by polynomial and blackbody fitting.
Features:
The ENIIGMA fitting tool is focused on the spectral decomposition of the observational IR spectra containing absorption ice features. So far, the Spitzer and VLT/ISAAC spectra have been successfully tested. In this regard, this code will be useful to provide an unbiased analysis of the upcoming James Webb Space Telescope - JWST data.
Citing ENIIGMA
If you use ENIIGMA fitting tool in your work, please cite Rocha et al. (2021).
Contact
If you have questions or concerns regarding the code, please open an issue at https://github.com/willastro/ENIIGMA-fitting-tool/issues or send an email to willrobsonastro@gmail.com.
The ENIIGMA team
Will Rocha
Giulia Perotti
Lars E. Kristensen
Jes K. Jørgensen