Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space
Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space
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DOI：
10.1088/1475-7516/2019/09/010
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发表时间：
2019-04
影响因子：
6.4
通讯作者：
E. Castorina;N. Hand;U. Seljak;F. Beutler;C. Chuang;Cheng Zhao;H. Gil-Mar'in;W. Percival;A. R
中科院分区：
文献类型：
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作者：
E. Castorina;N. Hand;U. Seljak;F. Beutler;C. Chuang;Cheng Zhao;H. Gil-Mar'in;W. Percival;A. R
我们利用斯隆数字巡天IV扩展重子振荡光谱巡天数据第14版类星体样本，给出了通过fnloc参数化的局部原始非高斯性（PNG）约束。我们测量和分析了类星体在傅里叶空间中的各向异性聚类，在大尺度上测试了由原始非高斯性引入的尺度相关偏差。我们推导并使用了一个功率谱估计器，该估计器使用了考虑PNG信号红移演化的最优权重。在95%置信水平下，我们发现约束条件为- 51< fnloc <21。这些是大型结构（Large Scale Structure， LSS）数据中最严格的约束。与未加权的情况相比，我们的红移加权将误差条提高了15%。如果类星体对PNG的响应较低，则约束退化为- 81< fnloc <26，比标准方法提高了40%。利用最优方法和全尺度预测，完整的eBOSS数据集可以达到σ fnloc≃5-8。
We present constraints on local primordial non-Gaussianity (PNG), parametrized through fNLloc, using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. We measure and analyze the anisotropic clustering of the quasars in Fourier space, testing for the scale-dependent bias introduced by primordial non-Gaussianity on large scales. We derive and employ a power spectrum estimator using optimal weights that account for the redshift evolution of the PNG signal. We find constraints of −51<fNLloc<21 at 95% confidence level. These are among the tightest constraints from Large Scale Structure (LSS) data. Our redshift weighting improves the error bar by 15% in comparison to the unweighted case. If quasars have lower response to PNG, the constraint degrades to −81<fNLloc<26, with a 40% improvement over the standard approach. We forecast that the full eBOSS dataset could reach σfNLloc≃ 5–8 using optimal methods and full range of scales.