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| DOI | 10.1093/MNRAS/STAD2480 | ||||
| Año | 2023 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
The star formation histories (SFHs) of galactic stellar haloes offer crucial insights into the merger history of the galaxy and the effects of those mergers on their hosts. Such measurements have revealed that while the Milky Way's most important merger was 8-10 Gyr ago, M31's largest merger was more recent, within the last few Gyr. Unfortunately, the required halo SFH measurements are extremely observationally expensive outside of the Local Group. Here, we use asymptotic giant branch (AGB) stars brighter than the tip of the red giant branch (RGB) to constrain stellar halo SFHs. Both stellar population models and archival data sets show that the AGB/RGB ratio constrains the time before which 90 per cent of the stars formed, t90. We find AGB stars in the haloes of three highly inclined roughly Milky Way-mass galaxies with resolved star measurements from the Hubble Space Telescope; this population is most prominent in the stellar haloes of NGC 253 and NGC 891, suggesting that their stellar haloes contain stars born at relatively late times, with inferred t90 ∼6 ± 1.5 Gyr. This ratio also varies from region to region, tending towards higher values along the major axis and in tidal streams or shells. By combining our measurements with previous constraints, we find a tentative anticorrelation between halo age and stellar halo mass, a trend that exists in models of galaxy formation but has never been elucidated before, i.e.The largest stellar haloes of Milky Way-mass galaxies were assembled more recently.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Harmsen, Benjamin | Hombre |
University of Michigan, Ann Arbor - Estados Unidos
UNIV MICHIGAN - Estados Unidos |
| 2 | Bell, E. | Hombre |
University of Michigan, Ann Arbor - Estados Unidos
UNIV MICHIGAN - Estados Unidos |
| 3 | D'Souza, Richard | Hombre |
Vatican Observatory - Italia
Vatican Observ - Italia |
| 4 | Monachesi, Antonela | Mujer |
Universidad de la Serena - Chile
|
| 5 | de Jong, R. S. | Hombre |
Leibniz Institute for Astrophysics Potsdam - Alemania
Leibniz Inst Astrophys Potsdam AIP - Alemania |
| 6 | Smercina, Adam | Hombre |
University of Washington - Estados Unidos
UNIV WASHINGTON - Estados Unidos |
| 7 | Jang, In Sung | - |
The Department of Astronomy and Astrophysics, The University of Chicago - Estados Unidos
UNIV CHICAGO - Estados Unidos |
| 8 | Holwerda, Benne W. | - |
University of Louisville - Estados Unidos
UNIV LOUISVILLE - Estados Unidos |
| Fuente |
|---|
| National Science Foundation |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| Fondecyt Regular |
| National Aeronautics and Space Administration |
| University of Washington |
| Max-Planck-Gesellschaft |
| HST |
| Space Telescope Science Institute |
| Agencia Nacional de Investigación y Desarrollo |
| ANID Basal Project |
| Max Planck Society through a 'PartnerGroup' grant |
| WFIRST Infrared Nearby Galaxies Survey collaboration through NASA |
| Agradecimiento |
|---|
| This work was partly supported by HST grant GO-15230 provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. We acknowledge support from the National Science Foundation through grant NSF-AST 2007065 and by the WFIRST Infrared Nearby Galaxies Survey collaboration through NASA grant NNG16PJ28C through subcontract from the University of Washington. AM gratefully acknowledges support by FONDECYT Regular grant 1212046 and by the ANID BASAL project FB210003, as well as funding from the Max Planck Society through a ‘PartnerGroup’ grant. This research has made use of NASA’s Astrophysics Data System Bibliographic Services. We made use of the following sofware: Matplotlib (Hunter ), NumPy (Van Der Walt, Colbert & Varoquaux ), Astropy (Astropy Collaboration et al. ), SciPy (Virtanen et al. ), Scikit-learn (Pedregosa et al. ), and emcee (Foreman-Mackey et al. ). |
| This work was partly supported by HST grant GO-15230 provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. We acknowledge support from the National Science Foundation through grant NSF-AST 2007065 and by the WFIRST Infrared Nearby Galaxies Survey collaboration through NASA grant NNG16PJ28C through subcontract from the University of Washington. AM gratefully acknowledges support by FONDECYT Regular grant 1212046 and by the ANID BASAL project FB210003, as well as funding from the Max Planck Society through a 'PartnerGroup' grant. This research has made use of NASA's Astrophysics Data System Bibliographic Services. We made use of the following sofware: Matplotlib (Hunter 2007), NumPy (Van Der Walt, Colbert & Varoquaux 2011), Astropy (Astropy Collaboration et al. 2018), SciPy (Virtanen et al. 2020), Scikit-learn (Pedregosa et al. 2011), and emcee (Foreman-Mackey et al. 2013). |