Constraints on primordial non-Gaussianity from the cross-correlation of DESI luminous red galaxies and Planck CMB lensing

IF 5.8 2区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
J. R. Bermejo-Climent, R. Demina, A. Krolewski, E. Chaussidon, M. Rezaie, S. Ahlen, S. Bailey, D. Bianchi, D. Brooks, E. Burtin, T. Claybaugh, A. de la Macorra, A. Dey, P. Doel, G. Farren, S. Ferraro, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, G. Gutierrez, C. Hahn, K. Honscheid, C. Howlett, R. Kehoe, D. Kirkby, T. Kisner, M. Landriau, L. Le Guillou, M. E. Levi, M. Manera, A. Meisner, R. Miquel, J. Moustakas, J. A. Newman, G. Niz, N. Palanque-Delabrouille, W. J. Percival, F. Prada, I. Pérez-Ràfols, D. Rabinowitz, A. J. Ross, G. Rossi, E. Sanchez, D. Schlegel, D. Sprayberry, G. Tarlé, B. A. Weaver, M. White, C. Yèche, P. Zarrouk
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引用次数: 0

Abstract

Aims. We use the angular cross-correlation between a luminous red galaxy (LRG) sample from the Dark Energy Spectroscopic Instrument (DESI) Legacy Survey data release DR9 and the Planck cosmic microwave background (CMB) lensing maps to constrain the local primordial non-Gaussianity parameter, fNL, using the scale-dependent galaxy bias effect. The galaxy sample covers approximately 40% of the sky, contains galaxies up to redshift z ∼ 1.4, and is calibrated with the LRG spectra that have been observed for DESI Year 1 (Y1).Methods. We apply a nonlinear imaging systematics treatment based on neural networks to remove observational effects that could potentially bias the fNL measurement. Our measurement is performed without blinding, but the full analysis pipeline is tested with simulations including systematics.Results. Using the two-point angular cross-correlation between LRG and CMB lensing only, we find at the 68% confidence level, and our result is robust in terms of systematics and cosmological assumptions. If we combine this information with the autocorrelation of LRG, applying a scale cut to limit the impact of systematics, we find at the 68% confidence level. Our results motivate the use of CMB lensing cross-correlations to measure fNL with future datasets, given its stability in terms of observational systematics compared to the angular autocorrelation. Furthermore, performing accurate systematics mitigation is crucially important in order to achieve competitive constraints on fNL from CMB lensing cross-correlation in combination with the tracers’ autocorrelation.
DESI发光红星系与普朗克CMB透镜相互关联对原初非高斯性的约束
目标。我们利用来自暗能量光谱仪器(DESI)遗留调查数据发布DR9的发光红色星系(LRG)样本与普朗克宇宙微波背景(CMB)透镜图之间的角相互关系,利用尺度依赖的星系偏差效应来约束局部原始非高斯参数fNL。星系样本覆盖了大约40%的天空,包含红移高达z ~ 1.4的星系,并使用DESI第1年(Y1)观测到的LRG光谱进行校准。我们应用了一种基于神经网络的非线性成像系统处理,以消除可能对fNL测量产生潜在偏差的观测效应。我们的测量是在没有盲法的情况下进行的,但完整的分析管道是通过模拟测试的,包括系统的结果。仅使用LRG和CMB透镜之间的两点角相互关联,我们发现在68%的置信度水平上,我们的结果在系统学和宇宙学假设方面是稳健的。如果我们将这些信息与LRG的自相关性结合起来,应用尺度削减来限制系统学的影响,我们发现在68%的置信水平上。我们的研究结果激发了在未来的数据集中使用CMB透镜互相关来测量fNL,因为与角度自相关相比,它在观测系统学方面具有稳定性。此外,为了从CMB透镜相互关联和示踪剂的自相关中实现对fNL的竞争约束,执行精确的系统学缓解是至关重要的。
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来源期刊
Astronomy & Astrophysics
Astronomy & Astrophysics 地学天文-天文与天体物理
CiteScore
10.20
自引率
27.70%
发文量
2105
审稿时长
1-2 weeks
期刊介绍: Astronomy & Astrophysics is an international Journal that publishes papers on all aspects of astronomy and astrophysics (theoretical, observational, and instrumental) independently of the techniques used to obtain the results.
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