MUFASA Documentation

Welcome to MUFASA: the MUlti-component Fitter for Astrophysical Spectral Applications!

Overview

MUFASA is a Python library for automating multi-component spectral fits to astrophysical data. It provides tools for:

• Automated Multi-Component Fitting: Fit spectral cubes automatically with multi-component models, leveraging spatial information for enhanced performance. The currently available models are:

  • NH₃ (1,1) (2-components; fittype='nh3_multi_v')

  • N₂H⁺ (1-0) (2-components; fittype='n2hp_multi_v')

• Data Visualization: Plots spectral and 3D visualizations of the fitted models.

• Custom Modules: For building custom pipelines or post-processing refinements, tailored for unique fitting needs.

Citation

When publishing with MUFASA-generated data products, please cite the following paper:

• Chen, M. C.-Y. et al. “Velocity-Coherent Filaments in NGC 1333: Evidence for Accretion Flow?” ApJ (2020).

Navigation

To get started quickly, please see the Install and Quick Start pages. Use the navigation bar at the top to explore other pages, including, Tutorials, Guides, and API Reference.