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The estimation of cosmological constraints from observations of the large scale structure of the Universe, such as the power spectrum or the correlation function, requires the knowledge of the inverse of the associated covariance matrix,…

宇宙学与河外天体物理 · 物理学 2015-11-04 Dante J. Paz , Ariel G. Sanchez

Analyses of baryon acoustic oscillations (BAO) commonly employ template-based methods to extract compressed parameters from the clustering of dark-matter tracers, which are then interpreted in terms of ratios of the sound-horizon scale and…

宇宙学与河外天体物理 · 物理学 2026-03-20 Francisco Asensio-Rivera , Nils Schöneberg , Héctor Gil-Marín , Licia Verde

We present a simple analytic approximation for the covariance between pre-reconstruction galaxy power spectrum measurements and post-reconstruction two-point correlation functions. This cross-covariance is essential for joint analyses that…

宇宙学与河外天体物理 · 物理学 2026-05-29 M. Maus , A. Baleato Lizancos , M. White , A. de Mattia , S. Chen

Cosmological $N$-body simulations provide numerical predictions of the structure of the Universe against which to compare data from ongoing and future surveys, but the growing volume of the Universe mapped by surveys requires…

We present a systematic comparison of statistical approaches to Baryon Acoustic Oscillation (BAO) analysis using DESI DR2 data. We evaluate four methods for handling the nuisance parameter $\beta=1/(H_0 r_d)$: marginalization, profiling,…

宇宙学与河外天体物理 · 物理学 2026-03-19 Denitsa Staicova

We present a novel approach to the construction of mock galaxy catalogues for large-scale structure analysis based on the distribution of dark matter halos obtained with effective bias models at the field level. We aim to produce mock…

We present improved methodology for including covariance matrices in the error budget of Baryon Oscillation Spectroscopic Survey (BOSS) galaxy clustering measurements, revisiting Data Release 9 (DR9) analyses, and describing a method that…

Photometric data can be analyzed using the three-dimensional correlation function $\xi_{\rm p}$ to extract cosmological information via e.g., measurement of the Baryon Acoustic Oscillations (BAO). Previous studies modeled $\xi_{\rm p} $…

宇宙学与河外天体物理 · 物理学 2022-02-16 Kwan Chuen Chan , Ismael Ferrero , Santiago Avila , Ashley J. Ross , Martin Crocce , Enrique Gaztanaga

Together with larger spectroscopic surveys such as the Dark Energy Spectroscopic Instrument (DESI), the precision of large scale structure studies and thus the constraints on the cosmological parameters are rapidly improving. Therefore, one…

Many data-analysis problems involve large dense matrices that describe the covariance of stationary noise processes; the computational cost of inverting these matrices, or equivalently of solving linear systems that contain them, is often a…

天体物理仪器与方法 · 物理学 2015-06-22 Rutger van Haasteren , Michele Vallisneri

We use analytic covariance matrices to carry out a full-shape analysis of the galaxy power spectrum multipoles from the Baryon Oscillation Spectroscopic Survey (BOSS). We obtain parameter estimates that agree well with those based on the…

宇宙学与河外天体物理 · 物理学 2020-12-29 Digvijay Wadekar , Mikhail M. Ivanov , Roman Scoccimarro

The current generation of large galaxy surveys will test the cosmological model by combining multiple types of observational probes. Realising the statistical promise of these new datasets requires rigorous attention to all aspects of…

We study the robustness of the baryon acoustic oscillation (BAO) analysis to the underlying cosmological model. We focus on testing the standard BAO analysis that relies on the use of a template. These templates are constructed assuming a…

宇宙学与河外天体物理 · 物理学 2024-06-27 Jiaming Pan , Dragan Huterer , Felipe Andrade-Oliveira , Camille Avestruz

Finite Gaussian mixture models are widely used for model-based clustering of continuous data. Nevertheless, since the number of model parameters scales quadratically with the number of variables, these models can be easily…

统计方法学 · 统计学 2018-09-25 Michael Fop , Thomas Brendan Murphy , Luca Scrucca
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