Accuracy of Stellar Mass-to-light Ratios of Nearby Galaxies in the Near Infrared

  • Taehyun Kim
  • , Minjin Kim
  • , Luis C. Ho
  • , Yang A. Li
  • , Woong Seob Jeong
  • , Dohyeong Kim
  • , Yongjung Kim
  • , Bomee Lee
  • , Dongseob Lee
  • , Jeong Hwan Lee
  • , Jeonghyun Pyo
  • , Hyunjin Shim
  • , Suyeon Son
  • , Hyunmi Song
  • , Yujin Yang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Future satellite missions are expected to perform all-sky surveys, thus providing the entire sky near-infrared spectral data and consequently opening a new window to investigate the evolution of galaxies. Specifically, the infrared spectral data facilitate the precise estimation of stellar masses of numerous low-redshift galaxies. We utilize the synthetic spectral energy distribution (SED) of 2853 nearby galaxies drawn from the DustPedia (435) and Stripe 82 regions (2418). The stellar mass-to-light ratio (M*/L) estimation accuracy over a wavelength range of 0.75−5.0 μm is computed through the SED fitting of the multiwavelength photometric data set, which has not yet been intensively explored in previous studies. We find that the scatter in M*/L is significantly larger in the shorter and longer wavelength regimes due to the effect of the young stellar population and the dust contribution, respectively. While the scatter in M*/L approaches its minimum (∼0.10 dex) at ∼1.6 μm, it remains sensitive to the adopted star formation history model. Furthermore, M*/L demonstrates weak and strong correlations with the stellar mass and the specific star formation rate (SFR), respectively. Upon adequately correcting the dependence of M*/L on the specific SFR, the scatter in the M*/L further reduces to 0.02 dex at ∼1.6 μm. This indicates that the stellar mass can be estimated with an accuracy of ∼0.02 dex with a prior knowledge of SFR, which can be estimated using the infrared spectra obtained with future survey missions.

Original languageEnglish
Article number44
JournalAstronomical Journal
Volume169
Issue number1
DOIs
StatePublished - 3 Jan 2025

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