DESI 2024: reconstructing dark energy using crossing statistics with DESI DR1 BAO data

IF 5.3 2区物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS

Journal of Cosmology and Astroparticle Physics Pub Date : 2024-10-14 DOI:10.1088/1475-7516/2024/10/048

R. Calderon, K. Lodha, A. Shafieloo, E. Linder, W. Sohn, A. de Mattia, J.L. Cervantes-Cota, R. Crittenden, T.M. Davis, M. Ishak, A.G. Kim, W. Matthewson, G. Niz, S. Park, J. Aguilar, S. Ahlen, S. Allen, D. Brooks, T. Claybaugh, A. de la Macorra, A. Dey, B. Dey, P. Doel, J.E. Forero-Romero, E. Gaztañaga, S.Gontcho A. Gontcho, K. Honscheid, C. Howlett, S. Juneau, A. Kremin, M. Landriau, L. Le Guillou, M.E. Levi, M. Manera, R. Miquel, J. Moustakas, J.A. Newman, N. Palanque-Delabrouille, W.J. Percival, C. Poppett, F. Prada, M. Rezaie, G. Rossi, V. Ruhlmann-Kleider, E. Sanchez, D. Schlegel, M. Schubnell, H. Seo, D. Sprayberry, G. Tarlé, P. Taylor, M. Vargas-Magaña, B.A. Weaver, P. Zarrouk and H. Zou

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引用次数: 0

Abstract

We implement Crossing Statistics to reconstruct in a model-agnostic manner the expansion history of the universe and properties of dark energy, using DESI Data Release 1 (DR1) BAO data in combination with one of three different supernova compilations (PantheonPlus, Union3, and DES-SN5YR) and Planck CMB observations. Our results hint towards an evolving and emergent dark energy behaviour, with negligible presence of dark energy at z ≳ 1, at varying significance depending on data sets combined. In all these reconstructions, the cosmological constant lies outside the 95% confidence intervals for some redshift ranges. This dark energy behaviour, reconstructed using Crossing Statistics, is in agreement with results from the conventionalw0–wa dark energy equation of state parametrization reported in the DESI Key cosmology paper. Our results add an extensive class of model-agnostic reconstructions with acceptable fits to the data, including models where cosmic acceleration slows down at low redshifts. We also report constraints on H0rd from our model-agnostic analysis, independent of the pre-recombination physics.

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DESI 2024：利用DESI DR1 BAO数据的交叉统计重建暗能量

我们利用 DESI Data Release 1 (DR1) BAO 数据，结合三种不同的超新星汇编（PantheonPlus、Union3 和 DES-SN5YR）之一和普朗克 CMB 观测数据，实施了 "交叉统计"（Crossing Statistics），以与模型无关的方式重建了宇宙的膨胀历史和暗能量的特性。我们的研究结果表明，暗能量行为是不断演变和出现的，在 z ≳ 1 时暗能量的存在可以忽略不计，其重要程度因数据集的组合而异。在所有这些重建中，宇宙学常数在某些红移范围内处于95%置信区间之外。利用交叉统计重建的这种暗能量行为，与DESI关键宇宙学论文中报告的常规w0-wa暗能量状态方程参数化的结果是一致的。我们的结果增加了一大类与数据拟合度可接受的与模型无关的重建，包括宇宙加速度在低红移时减慢的模型。我们还报告了与模型无关的分析对 H0rd 的约束，与重组前物理学无关。

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来源期刊

Journal of Cosmology and Astroparticle Physics 地学天文-天文与天体物理

CiteScore

10.20

自引率

23.40%

发文量

632

审稿时长

1 months

期刊介绍： Journal of Cosmology and Astroparticle Physics (JCAP) encompasses theoretical, observational and experimental areas as well as computation and simulation. The journal covers the latest developments in the theory of all fundamental interactions and their cosmological implications (e.g. M-theory and cosmology, brane cosmology). JCAP''s coverage also includes topics such as formation, dynamics and clustering of galaxies, pre-galactic star formation, x-ray astronomy, radio astronomy, gravitational lensing, active galactic nuclei, intergalactic and interstellar matter.