New Method for Robust AGN and Host-Galaxy Decomposition

The development of a robust optical spectral-fitting approach for decomposing Active Galactic Nuclei (AGN) emission from host galaxy spectra represents a significant advancement in the study of galaxy evolution. By combining the pPXF and PyQSOFit algorithms, the method effectively disentangles the nuclear and stellar components, enabling more accurate measurements of key physical properties such as black hole mass, stellar mass, and stellar velocity dispersion. The application of this technique to SDSS samples at redshifts less than 0.55 demonstrates its effectiveness in analyzing large datasets. The finding that the method yields consistent results for host-derived properties when the AGN-to-total continuum contribution is less than 0.8 highlights its reliability in characterizing the host galaxy. Future research could focus on extending this decomposition technique to multi-wavelength data, incorporating additional spectral features, and validating its performance across a wider range of AGN types and redshifts. The ability to accurately separate AGN and host galaxy emission is essential for understanding the co-evolution of supermassive black holes and their host galaxies, as well as for unraveling the complex interplay between AGN activity and galaxy formation.

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