Modelling biases from constant stellar mass-to-light ratio assumption in galaxy dynamics and strong lensing

ABSTRACT A constant stellar mass-to-light ratio $M_\star /L$ has been widely used in studies of galaxy dynamics and strong lensing, which aim at disentangling the mass distributions of dark matter and baryons. However, systematic biases arising from constant $M_\star /L$ assumption have not been fully quantified. In this work, we take massive early-type galaxies from the TNG100 simulation to investigate possible systematic biases in the inferences due to a constant $M_\star /L$ assumption. We construct two-component matter density models, where one component describes the dark matter, the other for the stars, which is made to follow the light profile by assuming a constant $M_\star /L$. We fit the two-component model directly to the total matter density distributions of simulated galaxies to eliminate systematics coming from other model assumptions. We find that galaxies generally have more centrally concentrated stellar mass profile than their light distribution. Given the light profiles adopted (i.e. single- and double-Sérsic profiles), the assumption of a constant $M_\star /L$ would artificially break the model degeneracy between baryons and dark matter for non-constant$M_\star /L$ systems. For such systems, without knowing the true $M_{\star }/L$ but assuming a constant ratio, the two-component modelling procedure tend to generally overestimate $M_{\star }/L$ by $30{\small --}50~{{\ \rm per\ cent}}$, and underestimate the central dark matter fraction $f_{\rm DM}$ by $\sim 20~{{\ \rm per\ cent}}$ on average.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2024-12-13
DOI
https://doi.org/10.1093/mnras/stae2744
Citations
5
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
2.53

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article

Modelling biases from constant stellar mass-to-light ratio assumption in galaxy dynamics and strong lensing

Dominique Sluse, Yan Liang, Alessandro Sonnenfeld, Y. Shu et al.
5 citations
Monthly Notices of the Royal Astronomical Society
Astronomy and Astrophysical Research
2.53
article

Modelling biases from constant stellar mass-to-light ratio assumption in galaxy dynamics and strong lensing

Dominique Sluse, Yan Liang, Alessandro Sonnenfeld, Y. Shu, Dandan Xu
article en
5 citations

Abstract

ABSTRACT A constant stellar mass-to-light ratio $M_\star /L$ has been widely used in studies of galaxy dynamics and strong lensing, which aim at disentangling the mass distributions of dark matter and baryons. However, systematic biases arising from constant $M_\star /L$ assumption have not been fully quantified. In this work, we take massive early-type galaxies from the TNG100 simulation to investigate possible systematic biases in the inferences due to a constant $M_\star /L$ assumption. We construct two-component matter density models, where one component describes the dark matter, the other for the stars, which is made to follow the light profile by assuming a constant $M_\star /L$. We fit the two-component model directly to the total matter density distributions of simulated galaxies to eliminate systematics coming from other model assumptions. We find that galaxies generally have more centrally concentrated stellar mass profile than their light distribution. Given the light profiles adopted (i.e. single- and double-Sérsic profiles), the assumption of a constant $M_\star /L$ would artificially break the model degeneracy between baryons and dark matter for non-constant$M_\star /L$ systems. For such systems, without knowing the true $M_{\star }/L$ but assuming a constant ratio, the two-component modelling procedure tend to generally overestimate $M_{\star }/L$ by $30{\small --}50~{{\ \rm per\ cent}}$, and underestimate the central dark matter fraction $f_{\rm DM}$ by $\sim 20~{{\ \rm per\ cent}}$ on average.

Monthly Notices of the Royal Astronomical SocietyVol. 536(3)
University of Liège (BE), Shanghai Jiao Tong University (CN), Purple Mountain Observatory (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Tsinghua University
Openalex Percentile: Top 10%
Astronomy and Astrophysical Research
2.53
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