Welcome to BEAT's documentation! ============================================ The Bayesian Evidence Analysis Tool (BEAT) is a Python-based code for measuring and dissecting multi-component emission lines. BEAT was designed to analyze large numbers of spectra (i.e. large surveys or IFU spectroscopy) automatically and determine the number of physical kinematic components in a given set of emission lines. BEAT utilizes the `MultiNest sampling algorithm `_ to compute Bayesian statistics and determine the number of components for each fit. In-depth descriptions of BEAT can be found in the following papers: `Fischer et al. 2017 `_ (see the Appendix), `Falcone et al. 2024 `_ (see Section 3). BEAT has been used in numerous peer-reviewed studies. These references include: * `Revalski et al. 2025 `_ * `Falcone et al. 2024 `_ * `Meena et al. 2023 `_ * `Revalski et al. 2021 `_ * `Meena et al. 2021 `_ * `Trindade Falcão et al. 2021 `_ * `Fischer et al. 2019 `_ * `Revalski et al. 2018 `_ * `Fischer et al. 2018 `_ **Please note that the documentation is being written over the spring/summer of 2025. We apologize for any inconvenience!** .. image:: ../build/html/_images/beat-img.png :width: 700 :alt: figure of emission line fit with 3 Contents -------- .. toctree:: installation customizing_your_fits fitting_broad interpreting_output references