mufasa#
Submodules
The mufasa.UltraCube module provides tools for processing, analyzing, and visualizing spectral cubes, particularly for fitting multi-component spectral models. |
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The mufasa.aic module provides tools for statistical evaluation of spectral cube models, including Akaike Information Criterion (AIC) calculations, corrected AIC (AICc), and chi-squared metrics. |
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The mufasa.clean_fits module provides functionality for handling multi-component fitting results, cleaning parameter maps, and generating exclusive single- and two-component maps. |
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The mufasa.convolve_tools module provides tools for processing spectral cubes with spatial convolution, signal-to-noise masking, and edge trimming. |
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The mufasa.deblend_cube module provides functionality for deblending hyperfine structures in spectral cubes, allowing for the reconstruction of fitted models with Gaussian lines accounting for optical depths. |
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The mufasa.exceptions module provides custom exceptions for handling errors specific to spectral fitting and signal-to-noise ratio (SNR) masking. |
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The mufasa.guess_refine module provides tools for cleaning, normalizing, and interpolating fitted parameter maps and generating refined guesses for fitting. |
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The mufasa.master_fitter module provides tools for automated spectral fitting, refinement, and analysis of multi-component spectral models. |
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The mufasa.moment_guess module provides utilities for generating initial guesses, refining moment maps, and handling physical parameter calculations such as excitation temperature and optical depth. |
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The mufasa.multi_v_fit module provides functionality for preprocessing, masking, and refining guesses for spectral line fitting, as well as utility functions for calculating moments, signal-to-noise ratios, and handling parameter constraints. |
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The mufasa.signals module provides robust tools for preprocessing spectral data, including RMS estimation, signal masking, spatial trimming, and moment calculations. |
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The mufasa.slab_sort module provides utilities for sorting and refining two-component spectral data, including functions for swapping components based on linewidth or distance metrics relative to reference maps. |
Sub-packages