| Download | - View final version: Are galactic star formation and quenching governed by local, global or environmental phenomena? (PDF, 8.4 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1093/mnras/stz3264 |
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| Author | Search for: Bluck, Asa F. L.; Search for: Maiolino, Roberto; Search for: Sánchez, Sebastian F.; Search for: Ellison, Sara L.ORCID identifier: https://orcid.org/0000-0002-1768-1899; Search for: Thorp, Mallory D.ORCID identifier: https://orcid.org/0000-0003-0080-8547; Search for: Piotrowska, Joanna M.ORCID identifier: https://orcid.org/0000-0003-1661-2338; Search for: Teimoorinia, Hossen1; Search for: Bundy, Kevin A. |
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| Affiliation | - National Research Council of Canada. Herzberg Astronomy and Astrophysics
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| Format | Text, Article |
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| Subject | galaxies: evolution; galaxies: formation; galaxies: star formation; galaxies: statistics; galaxies: structure |
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| Abstract | We present an analysis of star formation and quenching in the SDSS-IV MaNGA-DR15, utilising over 5 million spaxels from ∼3500 local galaxies. We estimate star formation rate surface densities (ΣSFR) via dust corrected Hα flux where possible, and via an empirical relationship between specific star formation rate (sSFR) and the strength of the 4000 Å break (D4000) in all other cases. We train a multi-layered artificial neural network (ANN) and a random forest (RF) to classify spaxels into ‘star forming’ and ‘quenched’ categories given various individual (and groups of) parameters. We find that global parameters (pertaining to the galaxy as a whole) perform collectively the best at predicting when spaxels will be quenched, and are substantially superior to local/ spatially resolved and environmental parameters. Central velocity dispersion is the best single parameter for predicting quenching in central galaxies. We interpret this observational fact as a probable consequence of the total integrated energy from AGN feedback being traced by the mass of the black hole, which is well known to correlate strongly with central velocity dispersion. Additionally, we train both an ANN and RF to estimate ΣSFR values directly via regression in star forming regions. Local/ spatially resolved parameters are collectively the most predictive at estimating ΣSFR in these analyses, with stellar mass surface density at the spaxel location (Σ*) being by far the best single parameter. Thus, quenching is fundamentally a global process but star formation is governed locally by processes within each spaxel. |
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| Publication date | 2019-11-21 |
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| Publisher | OUP
Royal Astronomical Society |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 798483d5-c779-4031-ae00-b72770653443 |
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| Record created | 2020-11-05 |
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| Record modified | 2020-11-19 |
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