Skip to content

Comparison of stellar population model predictions using optical and infrared spectroscopy

Research output: Contribution to journalArticle

We present Gemini/GNIRS cross-dispersed near-infrared spectra of 12 nearby early-type galaxies, with the aim of testing commonly used stellar population synthesis models. We select a subset of galaxies from the ATLAS 3D sample which span a wide range of ages (single stellar population equivalent ages of 1-15 Gyr) at approximately solar metallicity. We derive star formation histories using four different stellar population synthesis models, namely those of Bruzual & Charlot, Conroy, Gunn & White, Maraston & Strömbäck and Vazdekis et al. We compare star formation histories derived from near-infrared spectra with those derived from optical spectra using the same models. We find that while all models agree in the optical, the derived star formation histories vary dramatically frommodel to model in the near-infrared. We find that this variation is largely driven by the choice of stellar spectral library, such that models including high-quality spectral libraries provide the best fits to the data, and are the most self-consistent when comparing optically derived properties with near-infrared ones. We also find the impact of age variation in the near-infrared to be subtle, and largely encoded in the shape of the continuum, meaning that the common approach of removing continuum information with a high-order polynomial greatly reduces our ability to constrain ages in the near-infrared.

Original languageEnglish
Pages (from-to)4698-4721
Number of pages24
JournalMonthly Notices of the Royal Astronomical Society
Volume473
Issue number4
Early online date28 Sep 2017
DOIs
Publication statusPublished - 1 Feb 2018

Documents

  • stx2502

    Rights statement: This article has been accepted for publication in MNRAS © 2017 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

    Final published version, 5.59 MB, PDF document

Relations Get citation (various referencing formats)

ID: 15863103