Avoiding baryonic feedback effects on neutrino mass measurements from CMB lensing

Fiona McCarthy, S. Foreman, A. V. Engelen
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引用次数: 6

Abstract

A measurement of the sum of neutrino masses is one of the main applications of upcoming measurements of gravitational lensing of the cosmic microwave background (CMB). This measurement can be confounded by modelling uncertainties related to so-called "baryonic effects" on the clustering of matter, arising from gas dynamics, star formation, and feedback from active galactic nuclei and supernovae. In particular, a wrong assumption about the form of baryonic effects on CMB lensing can bias a neutrino mass measurement by a significant fraction of the statistical uncertainty. In this paper, we investigate three methods for mitigating this bias: (1) restricting the use of small-scale CMB lensing information when constraining neutrino mass; (2) using an external tracer to remove the low-redshift contribution to a CMB lensing map; and (3) marginalizing over a parametric model for baryonic effects on large-scale structure. We test these methods using Fisher matrix forecasts for experiments resembling the Simons Observatory and CMB-S4, using a variety of recent hydrodynamical simulations to represent the range of possible baryonic effects, and using cosmic shear measured by the Rubin Observatory's LSST as the tracer in method (2). We find that a combination of (1) and (2), or (3) on its own, will be effective in reducing the bias induced by baryonic effects on a neutrino mass measurement to a negligible level, without a significant increase in the associated statistical uncertainty.
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避免重子反馈效应对微波背景透镜测量中微子质量的影响
中微子质量总和的测量是即将到来的宇宙微波背景(CMB)引力透镜测量的主要应用之一。这种测量可能会被与所谓的“重子效应”有关的不确定性模型所混淆,这些不确定性是由气体动力学、恒星形成以及活动星系核和超新星的反馈引起的。特别是,对CMB透镜中重子效应形式的错误假设会使中微子质量测量产生很大一部分统计不确定性的偏差。在本文中,我们研究了三种减轻这种偏差的方法:(1)在限制中微子质量时限制使用小尺度CMB透镜信息;(2)利用外部示踪剂去除对CMB透镜图的低红移贡献;(3)对大尺度结构重子效应的参数化模型进行边缘化。我们测试这些方法使用费舍尔矩阵预测实验类似西蒙斯天文台和CMB-S4,最近使用各种流体的模拟来表示的范围可能重子的效果,并利用宇宙剪切测量的鲁宾天文台的口径的示踪方法(2)。我们发现,(1)和(2),或(3)就其本身而言,将会有效地减少偏见引起的重子的影响一个中微子质量测量到可以忽略的水平,没有显著增加相关的统计不确定性。
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