How binary interactions affect spectral stellar population synthesis
Zhongmu Li, Zhanwen Han

TL;DR
This study investigates how binary star interactions influence spectral stellar population models, revealing significant effects on observable properties and parameter estimations, and provides relations to correct for these effects.
Contribution
It introduces a rapid spectral synthesis model that quantifies binary interactions' effects on stellar population parameters and offers correction relations for ssSSP models.
Findings
Binary interactions make stellar populations less luminous and bluer.
Using ssSSP models underestimates ages and metallicities.
Relative ages and metallicities are similar between ssSSPs and bsSSPs.
Abstract
Single-star stellar population (ssSSP) models are usually used for stellar population studies. However, more than 50% of stars are in binaries and evolve differently from single stars. This suggests that the effects of binary interactions should be considered when modeling the stellar populations of galaxies and star clusters. Via a rapid spectral stellar population synthesis (RPS) model, we give detailed studies of the effects of binary interactions on the Lick indices and colours of stellar populations, and on the determination of the stellar ages and metallicities of populations. The results show that binary interactions make stellar populations less luminous, bluer, with larger age-sensitive Lick index (Hbeta) and less metallicity-sensitive indices (e.g., Mgb, Fe5270 and Fe5335) compared to ssSSPs. It also shows that when ssSSP models are used to determine the ages and…
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