The Distribution of Bubble Sizes During Reionization
Yin Lin, S. Peng Oh, Steven R. Furlanetto, P.M. Sutter

TL;DR
This study critically examines the distribution of HII region sizes during reionization, revealing that previous models underestimated bubble sizes and that mergers significantly influence the evolution of these regions, impacting observational predictions.
Contribution
The paper introduces a watershed algorithm for unbiased bubble size measurement and demonstrates that previous agreement with theory was spurious due to measurement biases.
Findings
HII regions are larger than predicted by analytic models.
The size distribution is narrower and evolves more slowly than expected.
Bubble mergers significantly affect the size distribution and its evolution.
Abstract
A key physical quantity during reionization is the size of HII regions. Previous studies found a characteristic bubble size which increases rapidly during reionization, with apparent agreement between simulations and analytic excursion set theory. Using four different methods, we critically examine this claim. In particular, we introduce the use of the watershed algorithm -- widely used for void finding in galaxy surveys -- which we show to be an unbiased method with the lowest dispersion and best performance on Monte-Carlo realizations of a known bubble size PDF. We find that a friends-of-friends algorithm declares most of the ionized volume to be occupied by a network of volume-filling regions connected by narrow tunnels. For methods tuned to detect the volume-filling regions, previous apparent agreement between simulations and theory is spurious, and due to a failure to correctly…
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