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arXiv 2406.00191astro-ph.CO
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DESI 2024局部原初非高斯性尺度依赖偏差特征的盲化方案

Blinding scheme for the scale-dependence bias signature of local primordial non-Gaussianity for DESI 2024

E. Chaussidon, A. de Mattia, C. Yèche, J. Aguilar, S. Ahlen, D. Brooks, T. Claybaugh, S. Cole, A. de la Macorra, P. Doel, K. Fanning, E. Gaztañaga, S. Gontcho A… 展开作者

E. Chaussidon, A. de Mattia, C. Yèche, J. Aguilar, S. Ahlen, D. Brooks, T. Claybaugh, S. Cole, A. de la Macorra, P. Doel, K. Fanning, E. Gaztañaga, S. Gontcho A Gontcho, C. Howlett, T. Kisner, A. Lambert, L. Le Guillou, M. Manera, A. Meisner, R. Miquel, G. Niz, N. Palanque-Delabrouille, W. J. Percival, F. Prada, A. J. Ross, G. Rossi, E. Sanchez, D. Schlegel, M. Schubnell, H. Seo, D. Sprayberry, G. Tarlé, M. Vargas-Magaña, B. A. Weaver, H. Zou

AI总结:

提出一种针对局部原初非高斯性尺度依赖偏差的密度场级盲化方法,通过生成数据权重复现偏差特征,可与现有星表级盲化程序结合,并利用DESI第一年观测模拟验证了有效性。

摘要:

下一代光谱巡天预计将在宇宙学参数的测量中达到前所未有的精度。为了避免确认偏差从而提高这些结果的可靠性,盲化程序已成为此类巡天宇宙学分析的标准做法。当观测系统误差的影响相对于宇宙学信号较为显著,且对该信号的探测将产生重要影响时,盲化尤为关键。局部原初非高斯性(local primordial non-gaussianity)的情况正是如此,它通过大尺度下星系功率谱的尺度依赖偏差来探测,而这些大尺度极易受到目标选取对成像质量依赖性的影响,即成像系统误差。我们提出了一种在密度场级别针对局部原初非高斯性尺度依赖偏差特征的盲化方法,该方法包括生成一组用于数据的权重以复现这种尺度依赖偏差。所应用的盲化是可预测的,并且可以与其他为重子声学振荡和红移空间畸变信号设计的星表级盲化程序直接结合。该程序通过模拟复现暗能量光谱仪第一年观测数据的模拟进行了验证,但也可应用于其他即将开展的光谱巡天。

英文摘要:

The next generation of spectroscopic surveys is expected to achieve an unprecedented level of accuracy in the measurement of cosmological parameters. To avoid confirmation bias and thereby improve the reliability of these results, blinding procedures become a standard practice in the cosmological analyses of such surveys. Blinding is especially crucial when the impact of observational systematics is important relative to the cosmological signal, and a detection of that signal would have significant implications. This is the case for local primordial non-gaussianity, as probed by the scale-dependent bias of the galaxy power spectrum at large scales that are heavily sensitive to the dependence of the target selection on the imaging quality, known as imaging systematics. We propose a blinding method for the scale-dependent bias signature of local primordial non-gaussianity at the density field level which consists in generating a set of weights for the data that replicate the scale-dependent bias. The applied blinding is predictable, and can be straightforwardly combined with other catalog-level blinding procedures that have been designed for the baryon acoustic oscillation and redshift space distortion signals. The procedure is validated through simulations that replicate data from the first year of observation of the Dark Energy Spectroscopic Instrument, but may find applications to other upcoming spectroscopic surveys.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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