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| DOI | 10.1093/MNRAS/STAE1372 | ||||
| Año | 2024 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Supermassive Black Holes (SMBHs) are commonly found at the centres of massive galaxies. Estimating their masses (M-BH) is crucial for understanding galaxy-SMBH co-evolution. We present WISE2MBH, an efficient algorithm that uses cataloged Wide-field Infrared Survey Explorer (WISE) magnitudes to estimate total stellar mass (M-*) and scale this to bulge mass (M-Bulge), and M-BH, estimating the morphological type (T-Type) and bulge fraction (B/T) in the process. WISE2MBH uses scaling relations from the literature or developed in this work, providing a streamlined approach to derive these parameters. It also distinguishes QSOs from galaxies and estimates the galaxy T-Type using WISE colours with a relation trained with galaxies from the 2MASS Redshift Survey. WISE2MBH performs well up to z similar to 0.5 thanks to K-corrections in magnitudes and colours. WISE2MBH M-BH estimates agree very well with those of a selected sample of local galaxies with M-BH measurements or reliable estimates: a Spearman score of similar to 0.8 and a RMSE of similar to 0.63 were obtained. When applied to the ETHER sample at z <= 0.5, WISE2MBH provides similar to 1.9 million M-BH estimates (78.5 per cent new) and similar to 100 thousand upper limits. The derived local black hole mass function (BHMF) is in good agreement with existing literature BHMFs. Galaxy demographic projects, including target selection for the Event Horizon Telescope, can benefit from WISE2MBH for up-to-date galaxy parameters and M-BH estimates. The WISE2MBH algorithm is publicly available on GitHub.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Hernández-Yévenes, Joaquín | Hombre |
Universidad de Concepción - Chile
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| 2 | Nagar, N. | - |
Universidad de Concepción - Chile
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| 3 | Arratia, Vicente | Hombre |
Universidad de Concepción - Chile
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| 4 | Jarrett, T. | Hombre |
UNIV CAPE TOWN - República de Sudáfrica
Swinburne Univ Technol - Australia Univ Hawaii - Estados Unidos University of Cape Town - República de Sudáfrica Swinburne University of Technology - Australia University Hawaii Institute for Astronomy - Estados Unidos |
| Fuente |
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| National Research Foundation |
| Fondecyt Regular |
| Basal |
| National Aeronautics and Space Administration |
| National Research Foundation (South Africa) |
| Chinese Diabetes Society |
| Agencia Nacional de Investigación y Desarrollo |
| NumPy |
| ANID Chile via Nucleo Milenio TITANs |
| Agradecimiento |
|---|
| We thank Yuri Kovalev, Angelo Ricarte, Dominic Pesce, and Priyamvada Natarajan for useful discussions and feedback, and Yuhan Yao for providing black hole mass functions for comparison. We acknowledge funding from ANID Chile via Nucleo Milenio TITANs (Project NCN2023_002), Fondecyt Regular (Project 1221421) and Basal (Project FB210003). THJ acknowledges support from the National Research Foundation (South Africa). This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. This research has used the VizieR catalogue access tool, CDS, Strasbourg, France. We acknowledge the usage of the HyperLeda database (http://leda.univ-lyon1.fr). This research made use of the following software: pandas (Reback et al. 2022), astropy (Astropy Collaboration 2022), numpy (Harris et al. 2020), scipy (Virtanen et al. 2020), matplotlib (Hunter 2007), seaborn (Waskom 2021), statsmodels (Seabold & Perktold 2010), and topcat (Taylor 2005). |
| We thank Yuri Kovalev, Angelo Ricarte, Dominic Pesce, and Priyamvada Natarajan for useful discussions and feedback, and Yuhan Yao for providing black hole mass functions for comparison. We acknowledge funding from ANID Chile via Nucleo Milenio TITANs (Project NCN2023 002), Fondecyt Regular (Project 1221421) and Basal (Project FB210003). THJ acknowledges support from the National Research Foundation (South Africa). This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. This research has used the VizieR catalogue access tool, CDS, Strasbourg, France. We acknowledge the usage of the HyperLeda database (http://leda.univ-lyon1.fr). This research made use of the following software: PANDAS (Reback et al. 2022), ASTROPY (Astropy Collaboration 2022), NUMPY (Harris et al. 2020), SCIPY (Virtanen et al. 2020), MATPLOTLIB (Hunter 2007), SEABORN (Waskom 2021), STATSMODELS (Seabold & Perktold 2010), and TOPCAT (Taylor 2005). |
| We thank Yuri Kovalev, Angelo Ricarte, Dominic Pesce, and Priyamvada Natarajan for useful discussions and feedback, and Yuhan Yao for providing black hole mass functions for comparison. We acknowledge funding from ANID Chile via Nucleo Milenio TITANs (Project NCN2023 002), Fondecyt Regular (Project 1221421) and Basal (Project FB210003). THJ acknowledges support from the National Research Foundation (South Africa). This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. This research has used the VizieR catalogue access tool, CDS, Strasbourg, France. We acknowledge the usage of the HyperLeda database (http://leda.univ-lyon1.fr). This research made use of the following software: PANDAS (Reback et al. 2022), ASTROPY (Astropy Collaboration 2022), NUMPY (Harris et al. 2020), SCIPY (Virtanen et al. 2020), MATPLOTLIB (Hunter 2007), SEABORN (Waskom 2021), STATSMODELS (Seabold & Perktold 2010), and TOPCAT (Taylor 2005). |