http://arxiv.org/abs/2108.12428
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.
C. Rhea, J. Hlavacek-Larrondo, L. Rousseau-Nepton, et. al.
Tue, 31 Aug 21
16/73
Comments: Submitted to RNAAS Extensive documentation can be found at this https URL
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