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Estimating major merger rates and spin parameters ab initio via the clustering of critical events

Cadiou, Corentin ; Pichon-Pharabod, Eric ; Pichon, Christophe ; Pogosyan, Dmitri

Monthly notices of the Royal Astronomical Society, 2024-06, Vol.531 (1), p.1385-1397 [Periódico revisado por pares]

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  • Título:
    Estimating major merger rates and spin parameters ab initio via the clustering of critical events
  • Autor: Cadiou, Corentin ; Pichon-Pharabod, Eric ; Pichon, Christophe ; Pogosyan, Dmitri
  • Assuntos: cosmology: Theory ; large-scale structure of Universe ; Matematik ; Mathematics ; Natural Sciences ; Naturvetenskap ; Probability Theory and Statistics ; Sannolikhetsteori och statistik
  • É parte de: Monthly notices of the Royal Astronomical Society, 2024-06, Vol.531 (1), p.1385-1397
  • Descrição: ABSTRACT We build a model to predict from first principles the properties of major mergers. We predict these from the coalescence of peaks and saddle points in the vicinity of a given larger peak, as one increases the smoothing scale in the initial linear density field as a proxy for cosmic time. To refine our results, we also ensure, using a suite of ∼400 power-law Gaussian random fields smoothed at ∼30 different scales, that the relevant peaks and saddles are topologically connected: they should belong to a persistent pair before coalescence. Our model allows us to (a) compute the probability distribution function of the satellite-merger separation in Lagrangian space: they peak at three times the smoothing scale; (b) predict the distribution of the number of mergers as a function of peak rarity: haloes typically undergo two major mergers (>1:10) per decade of mass growth; (c) recover that the typical spin brought by mergers: it is of the order of a few tens of per cent.
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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