ﻻ يوجد ملخص باللغة العربية
We present a model for the halo--mass correlation function that explicitly incorporates halo exclusion. We assume that halos trace mass in a way that can be described using a single scale-independent bias parameter. However, our model exhibits scale dependent biasing due to the impact of halo-exclusion, the use of a ``soft (i.e. not infinitely sharp) halo boundary, and differences in the one halo term contributions to $xi_{rm hm}$ and $xi_{rm mm}$. These features naturally lead us to a redefinition of the halo boundary that lies at the ``by eye transition radius from the one--halo to the two--halo term in the halo--mass correlation function. When adopting our proposed definition, our model succeeds in describing the halo--mass correlation function with $approx 2%$ residuals over the radial range $0.1 h^{-1}{rm Mpc} < r < 80 h^{-1}{rm Mpc}$, and for halo masses in the range $10^{13} h^{-1}{rm M}_{odot} < M < 10^{15} h^{-1}{rm M}_{odot}$. Our proposed halo boundary is related to the splashback radius by a roughly constant multiplicative factor. Taking the 87-percentile as reference we find $r_{rm t}/R_{rm sp} approx 1.3$. Surprisingly, our proposed definition results in halo abundances that are well described by the Press-Schechter mass function with $delta_{rm sc}=1.449pm 0.004$. The clustering bias parameter is offset from the standard background-split prediction by $approx 10%-15%$. This level of agreement is comparable to that achieved with more standard halo definitions.
Tidal gravitational forces can modify the shape of galaxies and clusters of galaxies, thus correlating their orientation with the surrounding matter density field. We study the dependence of this phenomenon, known as intrinsic alignment (IA), on the
We present a proof-of-concept of a novel and fully Bayesian methodology designed to detect halos of different masses in cosmological observations subject to noise and systematic uncertainties. Our methodology combines the previously published Bayesia
We study the matter bispectrum of large-scale structure by comparing the predictions of different perturbative and phenomenological models with the full three-dimensional bispectrum from $N$-body simulations estimated using modal methods. We show tha
Weak gravitational lensing observations probe the spectrum and evolution of density fluctuations and the cosmological parameters which govern them but are currently limited to small fields and subject to selection biases. We show how the expected sig
We generalize the stochastic theory of hierarchical clustering presented in paper I by Lapi & Danese (2020) to derive the (conditional) halo progenitor mass function and the related large-scale bias. Specifically, we present a stochastic differential