Extreme-Value Statistics of the Spin of Primordial Black Holes
Siri Chongchitnan, Joseph Silk

TL;DR
This paper applies extreme-value statistics to primordial black hole spins, estimating the rarity of near-extremal spins at formation and suggesting some dark matter PBHs could be near-extremal.
Contribution
It introduces a novel application of extreme-value statistics to quantify the likelihood of near-extremal spins in primordial black holes.
Findings
Near-extremal spin PBHs are exceedingly rare at formation.
Approximately one in a hundred million PBHs could exceed the Thorne limit.
Modifying the spin distribution's skewness and kurtosis can produce more extreme-spin PBHs.
Abstract
How rare are extreme-spin primordial black holes? We show how, from an underlying distribution of PBH spin, extreme-value statistics can be used to quantify the rarity of spinning PBHs with Kerr parameter close to 1. Using the Peaks-Over-Threshold method, we show how the probability that a PBH forms with spin exceeding a sufficiently high threshold can be calculated using the Generalised Pareto Distribution. This allows us to estimate the average number of PBHs amongst which we can find a single PBH which formed with spin exceeding a high threshold. We found that the primordial spin distribution gives rise to exceedingly rare near-extremal spin PBHs at formation time: for typical parameter values, roughly up to one in a hundred million PBHs would be formed with spin exceeding the Thorne limit. We discuss conditions under which even more extreme-spin PBHs may be produced, including…
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