BEDE: Bayesian estimates of dust evolution for nearby galaxies. Issue 3 (7th June 2021)
- Record Type:
- Journal Article
- Title:
- BEDE: Bayesian estimates of dust evolution for nearby galaxies. Issue 3 (7th June 2021)
- Main Title:
- BEDE: Bayesian estimates of dust evolution for nearby galaxies
- Authors:
- De Vis, P
Maddox, S J
Gomez, H L
Jones, A P
Dunne, L - Abstract:
- ABSTRACT: We build a rigorous statistical framework to provide constraints on the chemical and dust evolution parameters for nearby late-type galaxies with a wide range of gas fractions ($3{{\ \rm per\ cent}}\lt f_g\lt 94{{\ \rm per\ cent}}$ ). A Bayesian Monte Carlo Markov Chain framework provides statistical constraints on the parameters used in chemical evolution models. Nearly a million one-zone chemical and dust evolution models were compared to 340 galaxies. Relative probabilities were calculated from the χ 2 between data and models, marginalized over the different time-steps, galaxy masses, and star formation histories. We applied this method to find 'best-fitting' model parameters related to metallicity, and subsequently fix these metal parameters to study the dust parameters. For the metal parameters, a degeneracy was found between the choice of initial mass function, supernova metal yield tables, and outflow prescription. For the dust parameters, the uncertainties on the best-fitting values are often large except for the fraction of metals available for grain growth, which is well constrained. We find a number of degeneracies between the dust parameters, limiting our ability to discriminate between chemical models using observations only. For example, we show that the low dust content of low-metallicity galaxies can be resolved by either reducing the supernova dust yields and/or including photofragmentation. We also show that supernova dust dominates the dust massABSTRACT: We build a rigorous statistical framework to provide constraints on the chemical and dust evolution parameters for nearby late-type galaxies with a wide range of gas fractions ($3{{\ \rm per\ cent}}\lt f_g\lt 94{{\ \rm per\ cent}}$ ). A Bayesian Monte Carlo Markov Chain framework provides statistical constraints on the parameters used in chemical evolution models. Nearly a million one-zone chemical and dust evolution models were compared to 340 galaxies. Relative probabilities were calculated from the χ 2 between data and models, marginalized over the different time-steps, galaxy masses, and star formation histories. We applied this method to find 'best-fitting' model parameters related to metallicity, and subsequently fix these metal parameters to study the dust parameters. For the metal parameters, a degeneracy was found between the choice of initial mass function, supernova metal yield tables, and outflow prescription. For the dust parameters, the uncertainties on the best-fitting values are often large except for the fraction of metals available for grain growth, which is well constrained. We find a number of degeneracies between the dust parameters, limiting our ability to discriminate between chemical models using observations only. For example, we show that the low dust content of low-metallicity galaxies can be resolved by either reducing the supernova dust yields and/or including photofragmentation. We also show that supernova dust dominates the dust mass for low-metallicity galaxies and grain growth dominates for high-metallicity galaxies. The transition occurs around 12 + log (O/H) = 7.75, which is lower than found in most studies in the literature. … (more)
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 505:Issue 3(2021)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 505:Issue 3(2021)
- Issue Display:
- Volume 505, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 505
- Issue:
- 3
- Issue Sort Value:
- 2021-0505-0003-0000
- Page Start:
- 3228
- Page End:
- 3246
- Publication Date:
- 2021-06-07
- Subjects:
- ISM: abundances -- ISM: dust, extinction -- IZM: evolution -- galaxies: evolution -- galaxies: fundamental parameters -- galaxies: ISM
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stab1604 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26017.xml