LUCI: A Python package for SITELLE spectral analysis

TL;DR

LUCI is a Python package designed to simplify the analysis of SITELLE spectral data and other IFU spectra, integrating existing tools with machine learning for efficient spectral analysis.

Contribution

LUCI introduces a user-friendly Python module that combines established libraries with machine learning techniques to streamline SITELLE and IFU spectral data analysis.

Findings

Facilitates rapid spectral analysis with integrated tools.

Enables efficient classification of emission regions.

Provides easy access and fitting for SITELLE data cubes.

Abstract

High-resolution optical integral field units (IFUs) are rapidly expanding our knowledge of extragalactic emission nebulae in galaxies and galaxy clusters. By studying the spectra of these objects -- which include classic HII regions, supernova remnants, planetary nebulae, and cluster filaments -- we are able to constrain their kinematics (velocity and velocity dispersion). In conjunction with additional tools, such as the BPT diagram, we can further classify emission regions based on strong emission-line flux ratios. LUCI is a simple-to-use python module intended to facilitate the rapid analysis of IFU spectra. LUCI does this by integrating well-developed pre-existing python tools such as astropy and scipy with new machine learning tools for spectral analysis (Rhea et al. 2020). Furthermore, LUCI provides several easy-to-use tools to access and fit SITELLE data cubes.