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 language | English |
|---|---|
| Article number | 44 |
| Journal | Astronomical Journal |
| Volume | 169 |
| Issue number | 1 |
| DOIs | |
| State | Published - 3 Jan 2025 |