Gravitational-wave parameter estimation with gaps in LISA: a Bayesian data augmentation method
NASA Goddard Space Flight Center（美国宇航局戈达德太空飞行中心）；Artémis UMR 7250, Observatoire de la Côte d’Azur（蔚蓝海岸天文台阿尔特弥斯联合研究实验室）；Laboratoire Astroparticules et Cosmologie, Université Paris Diderot（巴黎第七大学亚原子物理与宇宙学实验室）
Quentin Baghi, Ira Thorpe, Jacob Slutsky, John Baker, Tito Dal Canton, Natalia Korsakova, Nikos Karnesis
备注：
18 pages, 7 figures, accepted for publication in Phys. Rev. D
By listening to gravity in the low frequency band, between 0.1 mHz and 1 Hz, the future space-based gravitational-wave observatory LISA will be able to detect tens of thousands of astrophysical sources from cosmic dawn to the present. The detection and characterization of all resolvable sources is a challenge in itself, but LISA data analysis will be further complicated by interruptions occurring in the interferometric measurements. These interruptions will be due to various causes occurring at various rates, such as laser frequency switches, high-gain antenna re-pointing, orbit corrections, or even unplanned random events. Extracting long-lasting gravitational-wave signals from gapped data raises problems such as noise leakage and increased computational complexity. We address these issues by using Bayesian data augmentation, a method that reintroduces the missing data as auxiliary variables in the sampling of the posterior distribution of astrophysical parameters. This provides a statistically consistent way to handle gaps while improving the sampling efficiency and mitigating leakage effects. We apply the method to the estimation of galactic binaries parameters with different gap patterns, and we compare the results to the case of complete data.
Global time-frequency search for stellar-mass binary black holes in LISA
Max Planck Institute for Gravitational Physics (Albert Einstein Institute)（马克斯·普朗克引力物理研究所（爱因斯坦研究所））；Institute for Gravitational Wave Astronomy & School of Physics and Astronomy, University of Birmingham（伯明翰大学引力波天文研究所与物理与天文学学院）；Center for Computational Astrophysics, Flatiron Institute（平顿研究所计算天体物理学中心）
Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
Universitá degli Studi di Milano-Bicocca（米兰比可卡大学）；INFN, Sezione di Milano-Bicocca（意大利国家核物理研究所米兰比可卡分部）；Max Planck Institute for Gravitational Physics (Albert Einstein Institute)（马克斯·普朗克引力物理学研究所（爱因斯坦研究所））；Nottingham Centre of Gravity & School of Mathematical Sciences, University of Nottingham（诺丁汉大学引力研究中心与数学科学学院）；Institute for Gravitational Wave Astronomy & School of Physics and Astronomy, University of Birmingham（伯明翰大学引力波天文学研究所与物理天文学院）
Simulation-based population inference of LISA's Galactic binaries: Bypassing the global fit
SISSA（的里雅斯特国际高等研究学院）；INFN Sezione di Trieste（意大利国家核物理研究院的里雅斯特分部）；IFPU - Institute for Fundamental Physics of the Universe（宇宙基础物理研究所）；Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Artemis（蔚蓝海岸大学、蔚蓝海岸天文台）；Astroparticule et Cosmologie, CNRS, Université Paris Cité（天体粒子与宇宙学实验室，巴黎西岱大学）；Department of Physics, Imperial College London（伦敦帝国理工学院物理系）；Italian Research Center on High Performance Computing, Big Data and Quantum Computing（意大利高性能计算、大数据和量子计算研究中心）
Mind the second gap: The impact of gaps on noise and signal parameter inference
School of Physics and Astronomy, University of Glasgow（格拉斯哥大学物理与天文学学院）；Max Planck Institute for Gravitational Physics (Albert Einstein Institute)（马克斯·普朗克引力物理学研究所（爱因斯坦研究所））
Gravitational-Wave Inference For Noise PSD Jumps Across Data Gaps
University of Chinese Academy of Sciences（中国科学院大学）；Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences（中国科学院大学杭州高等研究院）；Institute of Theoretical Physics, Chinese Academy of Sciences (CAS)（中国科学院理论物理研究所）
An explicit and differentiable Wilson-Daubechies-Meyer transform for gravitational-wave data analysis
University of Auckland（奥克兰大学）；Université Paris Cité（巴黎西岱大学）；CNRS（法国国家科学研究中心）；Astroparticule et Cosmologie（粒子天体物理与宇宙学）；University of Glasgow（格拉斯哥大学）；School of Physics and Astronomy, University of Glasgow（格拉斯哥大学物理与天文学院）；Laboratoire des 2 Infinis - Toulouse (L2IT-IN2P3)（双无穷实验室（L2IT-IN2P3））；Université de Toulouse（图卢兹大学）；European Space Agency (ESA)（欧洲空间局）；European Space Research and Technology Centre (ESTEC)（欧洲空间研究与技术中心）；Leiden Observatory（莱顿天文台）；Leiden University（莱顿大学）
