Zobrazeno 1 - 10
of 268
pro vyhledávání: '"Benjamin D Wandelt"'
Publikováno v:
The Astrophysical Journal Letters, Vol 977, Iss 2, p L44 (2024)
Bias models relating the dark matter field to the spatial distribution of halos are widely used in current cosmological analyses. Many models predict halos purely from the local Eulerian matter density, yet bias models in perturbation theory require
Externí odkaz:
https://doaj.org/article/274bbc8c1ee04b5086a0dffab79c7838
Autor:
Gabriel Jung, Andrea Ravenni, Michele Liguori, Marco Baldi, William R. Coulton, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
Publikováno v:
The Astrophysical Journal, Vol 976, Iss 1, p 109 (2024)
We apply a suite of different estimators to the Quijote-png halo catalogs to find the best approach to constrain Primordial non-Gaussianity (PNG) at nonlinear cosmological scales, up to ${k}_{\max }=0.5\,h\,{\mathrm{Mpc}}^{-1}$ . The set of summary s
Externí odkaz:
https://doaj.org/article/5c0ff04cf2aa49889fc0fd91fe772a8f
Publikováno v:
The Astrophysical Journal, Vol 975, Iss 2, p 189 (2024)
We apply the cross-correlation technique to infer the Hubble constant ( H _0 ) of the Universe using gravitational-wave (GW) sources without electromagnetic counterparts (dark sirens) from the third GW Transient Catalog (GWTC-3) and the photometric g
Externí odkaz:
https://doaj.org/article/abc3845f323e4bc6993e44bdab47e487
Publikováno v:
The Astrophysical Journal, Vol 973, Iss 1, p 41 (2024)
The information regarding how the intergalactic medium is reionized by astrophysical sources is contained in the tomographic three-dimensional 21 cm images from the epoch of reionization. In Zhao et al. (“Paper I”), we demonstrated for the first
Externí odkaz:
https://doaj.org/article/a51e1ddb712a4fa398f7a858f0368c22
Publikováno v:
The Astrophysical Journal, Vol 971, Iss 2, p 159 (2024)
Line intensity mapping (LIM) has emerged as a promising tool for probing the 3D large-scale structure through the aggregate emission of spectral lines. The presence of interloper lines poses a crucial challenge in extracting the signal from the targe
Externí odkaz:
https://doaj.org/article/367f0548c9884cb09a8a0f7dc5da1eee
Autor:
Max E. Lee, Shy Genel, Benjamin D. Wandelt, Benjamin Zhang, Ana Maria Delgado, Shivam Pandey, Erwin T. Lau, Christopher Carr, Harrison Cook, Daisuke Nagai, Daniel Angles-Alcazar, Francisco Villaescusa-Navarro, Greg L. Bryan
Publikováno v:
The Astrophysical Journal, Vol 968, Iss 1, p 11 (2024)
Galaxy formation models within cosmological hydrodynamical simulations contain numerous parameters with nontrivial influences over the resulting properties of simulated cosmic structures and galaxy populations. It is computationally challenging to sa
Externí odkaz:
https://doaj.org/article/b2726b6707e743eabea5b84c6b9d3930
Autor:
Niall Jeffrey, Benjamin D Wandelt
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015008 (2024)
Evidence Networks can enable Bayesian model comparison when state-of-the-art methods (e.g. nested sampling) fail and even when likelihoods or priors are intractable or unknown. Bayesian model comparison, i.e. the computation of Bayes factors or evide
Externí odkaz:
https://doaj.org/article/ccdb09302dea48f99a8b5ab82128fd50
Autor:
T. Lucas Makinen, Tom Charnock, Pablo Lemos, Natalia Porqueres, Alan Heavens, Benjamin D. Wandelt
Publikováno v:
The Open Journal of Astrophysics, Vol 5 (2022)
We present an implicit likelihood approach to quantifying cosmological information over discrete catalogue data, assembled as graphs. To do so, we explore cosmological parameter constraints using mock dark matter halo catalogues. We employ Informatio
Externí odkaz:
https://doaj.org/article/a66d17905c864b70a6c044d17c7ccb4c
Autor:
Gabriel Jung, Andrea Ravenni, Marco Baldi, William R Coulton, Drew Jamieson, Dionysios Karagiannis, Michele Liguori, Helen Shao, Licia Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
Publikováno v:
The Astrophysical Journal, Vol 957, Iss 1, p 50 (2023)
We study signatures of primordial non-Gaussianity (PNG) in the redshift-space halo field on nonlinear scales using a combination of three summary statistics, namely, the halo mass function (HMF), power spectrum, and bispectrum. The choice of adding t
Externí odkaz:
https://doaj.org/article/604b5ec08cc7410baa9624e0d5dd9e19
Publikováno v:
The Astrophysical Journal, Vol 955, Iss 2, p 131 (2023)
Cosmic voids are the largest and most underdense structures in the Universe. Their properties have been shown to encode precious information about the laws and constituents of the Universe. We show that machine-learning techniques can unlock the info
Externí odkaz:
https://doaj.org/article/c7a16c6a28e14ab49dfb26a024a7099d