2018
DOI: 10.1088/1475-7516/2018/10/043
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On the merger rate of primordial black holes: effects of nearest neighbours distribution and clustering

Abstract: One of the seemingly strongest constraints on the fraction of dark matter in the form of primordial black holes (PBH) of O(10) M relies on the merger rate inferred from the binary BH merger events detected by LIGO/Virgo. The robustness of these bounds depends however on the accuracy with which the formation of PBH binaries in the early Universe can be described. We revisit the standard estimate of the merger rate, focusing on a couple of key ingredients: the spatial distribution of nearest neighbours and the i… Show more

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Cited by 115 publications
(116 citation statements)
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“…This has been a topic of some debate, but it is now generally agreed that, for Gaussian initial conditions, the spatial distribution of PBHs is Poissonian. [35][36][37][38]. Primordial non-Gaussianity can strongly change the initial clustering of PBHs [39][40][41][42][43] and the subsequent merger rate [44] (see also [45]).…”
Section: Intrinsic Merger Rate From Pbhsmentioning
confidence: 99%
“…This has been a topic of some debate, but it is now generally agreed that, for Gaussian initial conditions, the spatial distribution of PBHs is Poissonian. [35][36][37][38]. Primordial non-Gaussianity can strongly change the initial clustering of PBHs [39][40][41][42][43] and the subsequent merger rate [44] (see also [45]).…”
Section: Intrinsic Merger Rate From Pbhsmentioning
confidence: 99%
“…For distances greater than the decoherence length, the density fluctuations become "uncorrelated". In this regime, an estimate of the two-point correlation function Ξ s (τ, r) = ξ s (τ, r > r dec ) can be obtained, for instance, by studying the effects of primordial clustering of PBHs [193,[196][197][198][199][200][201], however this goes beyond the scope of this article, hence we leave it for future work. Equivalently, one can also work with the Fourier transform of equation (5.14), i.e., the smoothed power spectrum, which reads as Here we can neglect the second integral in the second line of equation (5.15) because of the sin(x)/x suppression factor, as long as we consider modes k k dec = r −1 dec , i.e., modes that play a role in the gravitational collapse.…”
Section: The Shape Of the Overdensity Peakmentioning
confidence: 99%
“…At cosmological scales (k 1 Mpc −1 ) the primordial curvature power spectrum is very well constrained to be almost scale invariant, namely P ζ (k) = A s (k/k pivot ) ns−1 , where A s is the scalar perturbations amplitude, n s is the scalar tilt and k pivot is the pivot scale 18 . At intermediate scales (1 Mpc −1 k k t ), the primordial curvature power spectrum determines the clustering properties of CPBHs [193,[196][197][198][199][200][201]. Since a full modelling of this goes beyond the scope of this paper, we phenomenologically parametrise the power spectrum in this range of scales using the formula P (m,n) ζ (k) = Bk m log n (k)+C, where B and C are fitting parameters.…”
Section: The Reconstruction Of Primordial Power Spectrum Amplitude Anmentioning
confidence: 99%
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“…With these assumptions, the observational upper bound on the merger rate limits the fraction of PBHs in DM to f 1%. Several refinements to this estimate have been considered, including initial spatial correlations of the PBHs [14][15][16][17], tidal forces from non-relativistic matter perturbations [10,11,18], as well as the effect of a dark matter dress around the PBHs [19], with similar results for the bound on the PBH abundances. In Ref.…”
Section: Introductionmentioning
confidence: 99%