銀河団重力レンズ効果とCMB重力レンズ効果との相関によるニュートリノ質量への制限

星系团引力透镜效应和宇宙微波背景引力透镜效应之间的相关性对中微子质量的限制

• 批准号: 19J22222
• 负责人: LI Xiangchong
• 金额: $ 1.6万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2019
• 资助国家: 日本
• 起止时间: 2019-04-25 至 2022-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-19J22222/
• 关键词: gravitational lensing; cosmology observations; image processing; galaxy clusters; observational cosmology; Weak lensing; Galaxy Shape Measurement; Mass map reconstruction; Hyper Suprime-Cam

I analytically developed an improved version of the Fourier Power Function Shapelets (FPFS) algorithm for accurate and fast shear estimation. The method now includes analytic corrections for sources of bias that plague all shape measurement algorithms: including noise bias (due to noise in nonlinear combinations of observable quantities) and selection bias (due to sheared galaxies being more or less likely to be detected). Crucially, these analytic solutions do not rely on calibration from external image simulations. For isolated galaxies, the small residual less than 0.001 multiplicative bias and less than 0.0001 additive bias now meet science requirements for Stage IV experiments. FPFS also works accurately for faint galaxies and robustly against stellar contamination.I conducted several systematic null tests for the HSC three-year cosmic shear measurement. One is to test the systematics in cosmic shear measurement caused by model residuals of point spread function due to diffraction of telescope and atmosphere. I cross-correlate galaxy shape with star shape to detect the PSF modelling residual in the galaxy shapes. The other null test is to check the B-mode systematics in the weak-lensing science. Then I looked into the influence of baryonic effect, the influence of the intrinsic alignment in the cosmic shear measurement. I have built up the analysis pipeline for HSC three year weak lensing cosmological constraints.

我通过分析开发了傅里叶幂函数 Shapelet (FPFS) 算法的改进版本，用于准确、快速的剪切估计。该方法现在包括对困扰所有形状测量算法的偏差来源的分析校正：包括噪声偏差（由于可观测量的非线性组合中的噪声）和选择偏差（由于或多或少可能检测到剪切星系）。至关重要的是，这些分析解决方案不依赖于外部图像模拟的校准。对于孤立星系，小于 0.001 乘法偏差和小于 0.0001 加法偏差的小残差现在满足 IV 阶段实验的科学要求。 FPFS 还可以准确地处理微弱的星系，并能有效地抵抗恒星污染。我对 HSC 三年宇宙剪切测量进行了几次系统的无效测试。一是测试由于望远镜和大气的衍射而导致的点扩散函数模型残差引起的宇宙剪切测量的系统性。我将星系形状与恒星形状进行交叉关联，以检测星系形状中的 PSF 建模残差。另一个零检验是检查弱透镜科学中的 B 模式系统学。然后我研究了重子效应的影响，宇宙剪切测量中内在排列的影响。我已经建立了 HSC 三年弱透镜宇宙学约束的分析流程。

项目成果

Weak gravitational lensing shear measurement with FPFS: analytical mitigation of noise bias and selection bias

使用 FPFS 进行弱引力透镜剪切测量：噪声偏差和选择偏差的分析缓解

• DOI: 10.1093/mnras/stac342
• 发表时间: 2022
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Li Xiangchong;Li Yin;Massey Richard
• 通讯作者: Massey Richard

The three-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey

Subaru Hyper Suprime-Cam SSP 测量的三年剪切目录

• DOI: 10.1093/pasj/psac006
• 发表时间: 2022
• 期刊: Publications of the Astronomical Society of Japan
• 影响因子: 2.3
• 作者: Li Xiangchong;Miyatake Hironao;Luo Wentao;More Surhud;Oguri Masamune;Hamana Takashi;Mandelbaum Rachel;Shirasaki Masato;Takada Masahiro;Armstrong Robert;Kannawadi Arun;Takita Satoshi;Miyazaki Satoshi;Nishizawa Atsushi J;Plazas Malagon Andres A;Strauss Mich
• 通讯作者: Strauss Mich

A comparative study of satellite galaxies in Milky Way-like galaxies from HSC, DECaLS, and SDSS

• DOI: 10.1093/mnras/staa3495
• 发表时间: 2020-09
• 期刊: arXiv: Astrophysics of Galaxies
• 作者: Wenting Wang;M. Takada;Xiangchong Li;S. Carlsten;Ting-Wen Lan;Jingjing Shi;H. Miyatake;S. More-S.-Mor

Three-dimensional Reconstruction of Weak-lensing Mass Maps with a Sparsity Prior. I. Cluster Detection

• DOI: 10.3847/1538-4357/ac0625
• 发表时间: 2021-02
• 期刊: The Astrophysical Journal
• 作者: Xiangchong Li;N. Yoshida;M. Oguri;Shiro Ikeda;Wentao Luo

Fourier Power Function Shapelets (FPFS) Shear Estimator - Application to Hyper Suprime-Cam Survey

傅里叶幂函数 Shapelet (FPFS) 剪切估计器 - 在 Hyper Suprime-Cam 测量中的应用

• 发表时间: 2020
• 作者: Zhang Jun;Dong Fuyu;Li Hekun;Li Xiangchong;Li Yingke;Liu Dezi;Luo Wentao;Fu Liping;Li Guoliang;Fan Zuhui;Xiangchong Li
• 通讯作者: Xiangchong Li