Python tools for manipulating and analyzing radio spectral cubes. Currently supports convolving 3D cubes and 2D images, modeling noise levels and channel-to-channel correlations, and identifying emission line signals in cubes.
Python implementation of existing CO-to-H2 conversion factor prescriptions in the literature. Currently supports predicting conversion factors from metallicity and other parameters, as well as predicting metallicity from empirical scaling relations.
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