ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Best, P. N.'

Tip: Author search checks name variants (e.g., Smith, John, Smith J). Last names are still best when results are broad.

Found 1 code.

[ascl:2307.060] MBASC: Multi-Band AGN-SFG Classifier
Karsten, J.; Wang, L.; Margalef-Bentabol, B.; Best, P. N.; Kondapally, R.; La Marca, A.; Morganti, R.; Röttgering, H. J. A.; Vaccari, M.; Sabater, J.
MBASC (Multi-Band AGN-SFG Classifier) classifies sources as Active Galactic Nuclei (AGNs) and Star Forming Galaxies (SFGs). The algorithm is based on the light gradient-boosting machine ML technique. MBASC can use a wide range of multi-wavelength data and redshifts to predict a classification for sources.