TL;DR
This study uses a Bayesian model to accurately determine the relation between stellar mass and size in low surface brightness dwarf galaxies, revealing a steeper relation than canonical models predict, with implications for understanding ultra-diffuse galaxies.
Contribution
It introduces a Bayesian empirical approach to constrain the mass-size relation for dwarf galaxies, accounting for observational incompleteness and challenging existing models.
Findings
The mass-size relation for dwarf galaxies is steeper than canonical models suggest.
Extrapolated models over-predict the number of large dwarf and ultra-diffuse galaxies.
The size distribution of UDGs follows a power-law consistent with high-spin dwarf galaxy scenarios.
Abstract
The scaling relation between stellar mass () and physical effective radius () has been well-studied using wide spectroscopic surveys. However, these surveys suffer from severe surface brightness incompleteness in the dwarf galaxy regime, where the relation is poorly constrained. In this study, I use a Bayesian empirical model to constrain the power-law exponent of the - relation for late-type dwarfs (/) using a sample of 188 isolated low surface brightness (LSB) galaxies, accounting for observational incompleteness. Surprisingly, the best-fitting model (=0.400.07) indicates that the relation is significantly steeper than would be expected from extrapolating canonical models into the dwarf galaxy regime. Nevertheless, the best fitting - relation closely follows the distribution of…
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