Comparison of stellar populations in simulated and real post-starburst galaxies in MaNGA

Yirui Zheng, Vivienne Wild, Natalia Lahén, Peter H. Johansson, David Law, John R. Weaver, Noelia Jimenez

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Recent integral field spectroscopic (IFS) surveys have revealed radial gradients in the optical spectral indices of post-starburst galaxies, which can be used to constrain their formation histories. We study the spectral indices of post-processed mock IFS datacubes of binary merger simulations, carefully matched to the properties of the MaNGA IFS survey, with a variety of black hole feedback models, progenitor galaxies, orbits and mass ratios. Based on our simulation sample, we find that only major mergers on prograde-prograde or retrograde-prograde orbits in combination with a mechanical black hole feedback model can form galaxies with weak enough ongoing star formation, and therefore absent Hα emission, to be selected by traditional PSB selection methods. We find strong fluctuations in nebular emission line strengths, even within the PSB phase, suggesting that Hα selected PSBs are only a subsample of the underlying population. The global PSB population can be more robustly identified using stellar continuum-based approaches. The difficulty in reproducing the very young PSBs in simulations potentially indicates that new sub-resolution star formation recipes are required to properly model the process of star formation quenching. In our simulations, we find that the starburst peaks at the same time at all radii, but is stronger and more prolonged in the inner regions. This results in a strong time evolution in the radial gradients of the spectral indices which can be used to estimate the age of the starburst without reliance on detailed star formation histories from spectral synthesis models.
Original languageEnglish
Pages (from-to)1259–1277
Number of pages19
JournalMonthly Notices of the Royal Astronomical Society
Volume498
Issue number1
Early online date17 Aug 2020
DOIs
Publication statusPublished - Oct 2020

Keywords

  • Galaxies: evolution
  • Galaxies: interactions
  • Galaxies: star formation
  • Galaxies: stellar content

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