The stellar mass – physical effective radius relation for dwarf galaxies in low-density environments

Daniel Prole

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)


    The scaling relation between stellar mass (M) and physical effective radius (re) 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 β of the M–re relation for late-type dwarfs (107 ≤ M/M ≤ 109) using a sample of 188 isolated low surface brightness (LSB) galaxies, accounting for observational incompleteness. Surprisingly, the best-fitting model (β = 0.40 ± 0.07) indicates that the relation is significantly steeper than would be expected from extrapolating canonical models into the dwarf galaxy regime. Nevertheless, the best fitting M–re relation closely follows the distribution of known dwarf galaxies. These results indicate that extrapolated
    canonical models overpredict the number of large dwarf (i.e. LSB) galaxies, including ultra-diffuse galaxies (UDGs), explaining why they are overproduced by some semi-analytic models. The best-fitting model also constrains the power-law exponent of the physical size distribution of UDGs to n[dex−1] ∝ r3.54±0.33e , consistent to within 1σ of the corresponding value in cluster environments and with the theoretical scenario in which UDGs occupy the high-spin tail of the normal dwarf galaxy population.
    Original languageEnglish
    Pages (from-to)L59–L63
    Number of pages5
    JournalMonthly Notices of the Royal Astronomical Society: Letters
    Issue number1
    Publication statusPublished - Sept 2021


    • galaxies: dwarf
    • galaxies: evolution
    • galaxies: formation


    Dive into the research topics of 'The stellar mass – physical effective radius relation for dwarf galaxies in low-density environments'. Together they form a unique fingerprint.

    Cite this