SDSS-IV MaNGA: Bulge-Disc Decomposition of IFU Datacubes (BUDDI)
Evelyn J. Johnston, Boris Haeussler, Alfonso Aragon-Salamanca, Michael, R. Merrifield, Steven Bamford, Matthew A. Bershady, Kevin Bundy, Niv Drory,, Hai Fu, David Law, Christian Nitschelm, Daniel Thomas, Alexandre Roman Lopes,, David Wake, Renbin Yan

TL;DR
This paper introduces BUDDI, a new method for decomposing galaxy bulges and discs in IFU data to analyze their spectral properties and understand galaxy evolution.
Contribution
BUDDI enables simultaneous multi-wavelength fitting of galaxy components in IFU data, improving spectral analysis of bulges and discs over traditional methods.
Findings
Successful application to MaNGA data with detailed stellar population analysis.
Demonstrated ability to extract component spectra across galaxy types.
Potential to study galaxy formation and evolution in greater detail.
Abstract
With the availability of large integral-field unit (IFU) spectral surveys of nearby galaxies, there is now the potential to extract spectral information from across the bulges and discs of galaxies in a systematic way. This information can address questions such as how these components built up with time, how galaxies evolve and whether their evolution depends on other properties of the galaxy such as its mass or environment. We present BUDDI, a new approach to fit the two-dimensional light profiles of galaxies as a function of wavelength to extract the spectral properties of these galaxies' discs and bulges. The fitting is carried out using GalfitM, a modified form of Galfit which can fit multi-waveband images simultaneously. The benefit of this technique over traditional multi-waveband fits is that the stellar populations of each component can be constrained using knowledge over the…
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