Constraining sub-grid physics with high-redshift spatially-resolved metallicity distributions

By Brad K. Gibson, K. Pilkington, C. Brook, G. Stinson, Jeremy Bailin. 2013

134 citations recorded by the source corpus.

Astronomy and Astrophysics 544 (2013): A47 reproduced with permission from Astronomy & Astrophysics

View Paper: https://www.semanticscholar.org/paper/175ba5fee3c8e1a58a0e248a3167e2f01f95f3e7

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Citations in the corpus

The SINS/zC-SINF Survey of z ∼ 2 Galaxy Kinematics: SINFONI Adaptive Optics–assisted Data and Kiloparsec-scale Emission-line Properties (2018, background): “…models and simulations (e.g., Rahimi et al. 2011; Kobayashi & Nakasato 2011; Few et al. 2012; Pilkington et al. 2012; Torrey et al. 2012; Gibson et al. 2013; Mott et al. 2013), these findings have been interpreted as resulting from externally-driven (interactions/mergers, enhanced halo…”
Estimating stellar birth radii and the time evolution of Milky Way’s ISM metallicity gradient (2018, result): “…we find at high redshift, flattening toward redshift zero, is consistent with cosmological simulations (Roškar et al. 2008; Pilkington et al. 2012; Gibson et al. 2013; Vincenzo & Kobayashi 2018), hybrid models (MCM13, Kubryk et al. 2015), and classical chemical evolution models (Prantzos &…”
The GLASS-JWST Early Release Science Program. I. Survey Design and Release Plans (2022, background): “Models make robust but conflicting predictions for such gradients and the mass– metallicity relation depending on the strength of feedback and its outflow properties (Gibson et al. 2013; Ma et al. 2017; Tissera et al. 2019; Hemler et al. 2021).”
The CALIFA survey across the Hubble sequence: Spatially resolved stellar population properties in galaxies (2015, background): “…galaxies can constrain the complex interplay between gas infall, outflows, stellar migration, radial gas flows, and star formation efficiency, in driving the inside-out growth of galactic disks (Brook et al. 2012; Gibson et al. 2013; Few et al. 2012; Pilkington et al. 2012a; Minchev et al. 2014).”
INSIDE OUT AND UPSIDE DOWN: TRACING THE ASSEMBLY OF A SIMULATED DISK GALAXY USING MONO-AGE STELLAR POPULATIONS (2013, background): “The resulting shape of the radial abundance gradient early in a galaxy’s evolution can therefore directly constrain feedback models (Pilkington et al. 2012; Gibson et al. 2013).”
A characteristic oxygen abundance gradient in galaxy disks unveiled with CALIFA (2013, background): “It has been demonstrated (Gibson et al. 2013) that the existence and evolution of these radial gradients is, as expected, very dependent on the star formation and infall prescriptions included in the simulations.”
Towards a more realistic population of bright spiral galaxies in cosmological simulations (2013, background): “Recently, Gibson et al. (2013) compared gradients in cosmological simulations which share initial conditions but use different feedback prescriptions.”
SDSS IV MaNGA – metallicity and nitrogen abundance gradients in local galaxies (2017, background): “Recent progress in semi-analytical modelling (Fu et al. 2009) and hydrodynamical simulations performed in a cosmological context (Pilkington et al. 2012a; Gibson et al. 2013) have demonstrated the fundamental role that metal recycling via galactic fountains has on the metallicity gradient.”
Impacts of a flaring star-forming disc and stellar radial mixing on the vertical metallicity gradient (2016, background): “…in star forming disk especially at a high redshift when strong feedback could flatten the radial metallicity gradient (Pilkington et al. 2012; Gibson et al. 2013). ably sized bar for the Milky Way, and including the gas, star formation and chemical evolution, Grand et al. (2015) showed that…”
TRACING CHEMICAL EVOLUTION OVER THE EXTENT OF THE MILKY WAY'S DISK WITH APOGEE RED CLUMP STARS (2014, background): “The temporal evolution of the radial chemical gradient can constrain the uncertain degree to which energetic feedback mechanisms couple to the ISM and redistribute metals in simulations of disk galaxy formation (Gibson et al. 2013).”
Stellar population gradients in galaxy discs from the CALIFA survey - The influence of bars (2014, background): “They also found that the main differences came from the radial efficiency of the star formation rate that are controlled, mainly, by the different prescriptions of feedback (Gibson et al. 2013).”
Reconstructing the star formation history of the Milky Way disc(s) from chemical abundances (2014, methodology): “We chose to follow these elements in addition to silicon because magnesium is also used in Haywood et al. (2013), and oxygen is both the dominant α element, and very common in numerical simulations, (e.g. Brook et al. 2012; Gibson et al. 2013).”
THE GRISM LENS-AMPLIFIED SURVEY FROM SPACE (GLASS). I. SURVEY OVERVIEW AND FIRST DATA RELEASE (2015, methodology): “Cosmological simulations coupled with chemical evolution models can reproduce these data, but various models predict different behavior at earlier times (e.g., Pilkington et al. 2012; Gibson et al. 2013).”