Investigating the link between inner gravitational potential and star-formation quenching in CALIFA galaxies
Autor: | V. Kalinova, D. Colombo, S. F. Sánchez, E. Rosolowsky, K. Kodaira, R. García-Benito, S. E. Meidt, T. A. Davis, A. B. Romeo, S.-Y. Yu, R. González Delgado, E. A. D. Lacerda |
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Přispěvatelé: | Ministerio de Ciencia e Innovación (España), European Commission, Natural Sciences and Engineering Research Council of Canada |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Galaxies: fundamental parameters
Cosmology and Nongalactic Astrophysics (astro-ph.CO) bulges [galaxies] FOS: Physical sciences MASS SEQUENCE DISK Galaxies: structure kinematics and dynamics [galaxies] fundamental parameters [galaxies] BLACK-HOLES evolution [galaxies] SPIRAL STRUCTURE Galaxies: bulges SPECTROSCOPY Galaxies: star formation Galaxies: kinematics and dynamics Galaxies: evolution Astronomy and Astrophysics ATLAS(3D) PROJECT Astrophysics - Astrophysics of Galaxies EVOLUTION Physics and Astronomy Space and Planetary Science GAS Astrophysics of Galaxies (astro-ph.GA) structure [galaxies] star formation [galaxies] CLUSTERS Astrophysics - Cosmology and Nongalactic Astrophysics |
Zdroj: | ASTRONOMY & ASTROPHYSICS |
ISSN: | 0004-6361 1432-0746 |
Popis: | Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. It has been suggested that gravitational potential can have a significant role in suppressing star formation in nearby galaxies. To establish observational constraints on this scenario, we investigated the connection between the dynamics – taking the circular velocity curves (CVCs) as a proxy for the inner gravitational potential – and star formation quenching in 215 non-active galaxies across the Hubble sequence from the Calar Alto Legacy Integral Field Area (CALIFA) survey. Our results show that galaxies with similar CVCs tend to have a certain star-formation quenching pattern. To explore these findings in more details, we constructed kiloparsec(kpc)-resolved relations of the equivalent width of the Hα (WHα) versus the amplitude (Vc) and shape (β = dlnVc/dlnR) of the circular velocity at given radii. We find that the WHα − Vc is a declining relationship, where the retired regions of the galaxies (the ones with WHα values of below 3 Å) tend to have higher Vc. Concurrently, WHα − β is a bimodal relationship, which is characterised by two peaks: concentration of the star forming regions at a positive β (rising CVC) and a second concentration of the retired regions with a negative β (declining CVC). Our results show that both the amplitude of the CVC – driven by the mass of the galaxies – and its shape – which reflects the internal structure of the galaxies – play an important role in the quenching history of a galaxy. © V. Kalinova et al. 2022. DC acknowledges support by the Deutsche Forschungsgemeinschaft, DFG project number SFB956A. SFS acknowledges Conacyt projects CB-285080 and FC-2016-01 -1916, and PAPIIT-DGAPA IN100519. RGB and RGD acknowledge financial support from the State Agency for Research of the Spanish MCIU through the “Center of Excellence Severo Ochoa” award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709), and the projects AYA2016-77846-P and PID2019-109067-GB100. ER acknowledges the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), funding reference number RGPIN-2017-03987. KK acknowledges deep gratitude to MPIfR in Bonn for the Guest Researchership 2013–2021. In this study, we made use of the data of the first legacy survey, the Calar Alto Legacy Integral Field Area (CALIFA) survey, based on observations made at the Centro Astronómico Hispano Alemán (CAHA) at Calar Alto, operated jointly by the Max Planck-Institut für Astronomie and the Instituto de Astrofísica de Andalucía (CSIC). This research made use of the open-source python packages as Astropy (Astropy Collaboration 2018), SciPy (Virtanen et al. 2020), NumPy (Harris et al. 2020), and Matplotlib (Hunter 2007). |
Databáze: | OpenAIRE |
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