An accurate measure of the size of dark matter haloes using the size of galaxies

Comparison between a simulated spiral galaxy from the EAGLE simulations used in this work (left) and an analogue observed galaxy (right) showing similarities in mass and size.
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Using the EAGLE cosmological simulations, this study demonstrates that a physically motivated galaxy size metric (R1)—defined by the outer limit of in situ star formation—provides a high-precision link to dark matter halo properties. The simulated galaxies accurately reproduce the observed stellar mass-size relation with a remarkably low scatter of 0.06 dex.
By establishing a tight correlation between R1 and the halo radius (R200), the authors show that halo size and mass can be inferred from a galaxy's physical "edge" with less than 50% uncertainty. This method is six times more accurate than traditional estimates based on the half-mass radius (R50), offering a robust new tool for mapping dark matter distribution.

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Numerical Astrophysics: Galaxy Formation and Evolution
How galaxies formed and evolved through cosmic time is one of the key questions of modern astronomy and astrophysics. Cosmological time- and length-scales are so large that the evolution of individual galaxies cannot be directly observed. Only through numerical simulations can one follow the emergence of cosmic structures within the current
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Dalla Vecchia
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Comparison between an observed galaxy (right) and a simulated galaxy (left) showing similarities in mass and size.
A new study published in Astronomy & Astrophysics unveils a powerful way to determine the size of dark matter haloes—the massive, invisible structures that host galaxies—by simply measuring how large galaxies appear in deep astronomical images. Researchers Ignacio Trujillo and Claudio Dalla Vecchia, from the Instituto de Astrofísica de Canarias (IAC) and the Universidad de La Laguna (ULL), demonstrate that galaxy size can serve as a precise proxy for halo size, offering measurements up to six times more accurate than previous methods. Using the cutting-edge EAGLE cosmological simulations
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