中文

来自联合 ACT、SPT 和 \textit{Planck} CMB 引力透镜的统一且一致的结构生长测量

宇宙学与河外天体物理 2026-01-19 v2

摘要

我们报告了目前最紧密的宇宙微波背景(CMB)引力透镜约束,采用将来自阿塔卡宇宙学望远镜(ACT)、南极望远镜(SPT)和 \textit{Planck} 的CMB引力透镜测量结果进行联合分析。每个探测项目单独提供的引力透镜测量在统计力度上相似,实现约40的信噪比。联合引力带功率代表了目前最精确的CMB引力功率谱测量,信噪比为61,振幅为 Alensrecon=1.025±0.017A_\mathrm{lens}^\mathrm{recon} = 1.025 \pm 0.017,相对于来自 \textit{Planck}-ACT 最佳拟合 CMB cosmology 的理论预测。来自三个引力透镜数据集的带功率在联合分析下给出 1.6%1.6\% 对参数组合 S8CMBLσ8(Ωm/0.3)0.25=0.8250.013+0.015S_8^\mathrm{CMBL} \equiv \sigma_8\,(\Omega_m/0.3)^{0.25} = 0.825^{+0.015}_{-0.013} 的测量。包括来自暗能量光谱仪器(DESI)的联合重子声学振荡(BAO)数据可将物质涨落振幅约束至 σ8=0.829±0.009\sigma_8 = 0.829 \pm 0.009(即 1.1%1.1\% 的确定)。当联合来自 \texttt{Pantheon+} 的未校准超新星数据后,我们给出 H0=66.4±2.5kms1Mpc1H_0=66.4\pm2.5\,\mathrm{km\,s^{-1}\,Mpc^{-1}}4%4\% 声学尺度无关估计。联合引力透镜对结构生长和当前哈勃定数的约束完全与 \textit{Planck} 和 ACT 的一级 CMB 数据相符。虽然精确的上限对数据选择和底层模型假设敏感,但在 ΛCDM\Lambda\mathrm{CDM} 宇宙学模型下变更中微子质量总和时,联合一级 CMB、BAO 和 CMB 引力透镜将中微子质量总和的可能上限推向较低值,接近中微子振荡实验所需的最小质量先验。

关键词

引用

@article{arxiv.2504.20038,
  title  = {Unified and consistent structure growth measurements from joint ACT, SPT and \textit{Planck} CMB lensing},
  author = {Frank J. Qu and Fei Ge and W. L. Kimmy Wu and Irene Abril-Cabezas and Mathew S. Madhavacheril and Marius Millea and Zeeshan Ahmed and Ethan Anderes and Adam J. Anderson and Behzad Ansarinejad and Melanie Archipley and Zachary Atkins and Lennart Balkenhol and Nicholas Battaglia and Karim Benabed and Amy N. Bender and Bradford A. Benson and Federico Bianchini and Lindsey. E. Bleem and Boris Bolliet and J Richard Bond and François. R. Bouchet and Lincoln Bryant and Erminia Calabrese and Etienne Camphuis and John E. Carlstrom and Julien Carron and Anthony Challinor and Clarence L. Chang and Prakrut Chaubal and Geoff Chen and Paul M. Chichura and Steve K. Choi and Aman Chokshi and Ti-Lin Chou and Anna Coerver and William Coulton and Thomas M. Crawford and Cail Daley and Omar Darwish and Tijmen de Haan and Mark J. Devlin and Karia R. Dibert and Matthew A. Dobbs and Michael Doohan and Aristide Doussot and Adriaan J. Duivenvoorden and Jo Dunkley and Rolando Dunner and Daniel Dutcher and Carmen Embil Villagra and Wendy Everett and Gerrit S. Farren and Chang Feng and Simone Ferraro and Kyle R. Ferguson and Kyra Fichman and Emily Finson and Allen Foster and Patricio A. Gallardo and Silvia Galli and Anne E. Gambrel and Rob W. Gardner and Neil Goeckner-Wald and Riccardo Gualtieri and Federica Guidi and Sam Guns and Mark Halpern and Nils W. Halverson and J. Colin Hill and Matt Hilton and Eric Hivon and Gilbert P. Holder and William L. Holzapfel and John C. Hood and Doug Howe and Alec Hryciuk and Nicholas Huang and Johannes Hubmayr and Florian Kéruzoré and Ali R. Khalife and Joshua Kim and Lloyd Knox and Milo Korman and Kayla Kornoelje and Arthur Kosowsky and Chao-Lin Kuo and Hidde T. Jense and Adrien La Posta and Kevin Levy and Amy E. Lowitz and Thibaut Louis and Chunyu Lu and Gabriel P. Lynch and Niall MacCrann and Abhishek Maniyar and Emily S. Martsen and Jeff McMahon and Felipe Menanteau and Joshua Montgomery and Yuka Nakato and Kavilan Moodley and Toshiya Namikawa and Tyler Natoli and Michael D. Niemack and Gavin I. Noble and Yuuki Omori and Aaron Ouellette and Lyman A. Page and Zhaodi Pan and Pascal Paschos and Kedar A. Phadke and Alexander W. Pollak and Karthik Prabhu and Wei Quan and Srinivasan Raghunathan and Mahsa Rahimi and Alexandra Rahlin and Christian L. Reichardt and Dave Riebel and Maclean Rouble and John E. Ruhl and Emmanuel Schaan and Eduardo Schiappucci and Neelima Sehgal and Carlos E. Sierra and Aidan Simpson and Blake D. Sherwin and Cristóbal Sifón and David N. Spergel and Suzanne T. Staggs and Joshua A. Sobrin and Antony A. Stark and Judith Stephen and Chris Tandoi and Ben Thorne and Cynthia Trendafilova and Caterina Umilta and Alexander Van Engelen and Joaquin D. Vieira and Aline Vitrier and Yujie Wan and Nathan Whitehorn and Edward J. Wollack and Matthew R. Young and Jessica A. Zebrowski},
  journal= {arXiv preprint arXiv:2504.20038},
  year   = {2026}
}

备注

6+3 pages, 6+4 figures. v2 matches published version in the journal. Likelihood software and data available at this https URL: https://github.com/qujia7/spt_act_likelihood/ and https://lambda.gsfc.nasa.gov/product/act/actadv_act_spt_joint_prod_get.html