Detecting the extremely low-energy neutrinos that form the Cosmic Neutrino Background (CNB) presents many experimental challenges, but pursuing this elusive goal is still worthwhile because these weakly-interacting particles could provide a new window into the structure and composition of the early universe. This report examines whether cosmological neutrinos can deposit sufficient energy into a target system to be detectable with plausible extensions of current bolometric technologies. While the macroscopic wavelengths of cosmological neutrinos can greatly enhance their cross sections with dense targets, such interactions can only be detectable if they transfer a significant fraction of each neutrino's kinetic energy into the detector system. We find that a large array of dense target masses coupled to suitable motion-sensitive circuits could potentially satisfy both of these conditions and thus might be able to serve as the basis for a more practical cosmological neutrino detector.
A User's Guide to Extracting Cosmological Information from Line-Intensity Maps
University of Barcelona（巴塞罗那大学）；Canadian Institute for Theoretical Astrophysics, University of Toronto（多伦多大学加拿大理论天体物理研究所）；Ben-Gurion University（本古里安大学）
Extracting the Alcock-Paczynski signal from voids: A novel approach via reconstruction
Aix-Marseille Université（艾克斯-马赛大学）；CNRS/IN2P3, CPPM（法国国家科学研究中心/法国国家粒子物理研究所，CPPM）；Dipartimento di Fisica, Università di Roma Tre（罗马第三大学物理系）；SISSA, International School for Advanced Studies（国际高等研究院）；ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing（高性能计算、大数据和量子计算国家研究中心）；INFN, Sezione di Trieste（意大利国家核物理研究所的里雅斯特分部）；Université Clermont Auvergne（克莱蒙奥弗涅大学）；CNRS/IN2P3, LPCA（法国国家科学研究中心/法国国家粒子物理研究所，LPCA）；Department of Physics, Università di Genova（热那亚大学物理系）；Istituto Nazionale di Fisica Nucleare, Sezione di Genova（意大利国家核物理研究所热那亚分部）；INAF-Osservatorio Astronomico di Brera（意大利国家天体物理研究所布雷拉天文台）；Department of Astrophysical Sciences, Peyton Hall, Princeton University（普林斯顿大学天体物理科学系）；Université Claude Bernard Lyon 1（里昂第一大学）；IUF, IP2I Lyon（法国高等教育与研究学院，里昂粒子物理与宇宙学研究所）
Extracting Cosmological Information from Lightcone Data: A Comparison of CNNs and Summary-Statistic-Based Approaches
School of Physics and Astronomy, Sun Yat-Sen University（中山大学物理学院）；School of Physics and Electronic Information Engineering, Tongren University（铜仁学院物理与电子信息工程学院）；Shanghai Astronomical Observatory, Chinese Academy of Sciences（中国科学院上海天文台）；National Astronomical Observatories, Chinese Academy of Sciences（中国科学院国家天文台）；Pengcheng Laboratory（鹏城实验室）
Efficiently emulating distribution functions in gigaparsec volumes for varying cosmological parameters
Kavli Institute for Cosmology, University of Cambridge（剑桥大学卡弗里宇宙学研究所）；Institute of Astronomy, University of Cambridge（剑桥大学天文学研究所）；Department of Astronomy, Columbia University（哥伦比亚大学天文系）；Astronomy Centre, University of Sussex（萨塞克斯大学天文学中心）；Department of Physics, University of Connecticut（康涅狄格大学物理系）；Columbia Astrophysics Laboratory, Columbia University（哥伦比亚大学哥伦比亚天体物理学实验室）；Center for Computational Astrophysics, Flatiron Institute（平顿研究所计算天体物理学中心）；Department of Physics and Astronomy, Johns Hopkins University（约翰斯·霍普金斯大学物理与天文学系）；Department of Astrophysical Sciences, Princeton University（普林斯顿大学天体物理科学系）
