Gravitational waves emitted by neutron star black hole mergers encode key properties of neutron stars - such as their size, maximum mass and spins - and black holes. However, the presence of matter and the high mass ratio makes generating long and accurate waveforms from these systems hard to do with numerical relativity, and not much is known about systematic uncertainties due to waveform modeling. We simulate gravitational waves from neutron star black hole mergers by hybridizing numerical relativity waveforms produced with the SpEC code with a recent numerical relativity surrogate NRHybSur3dq8Tidal. These signals are analyzed using a range of available waveform families, and statistical and systematic errors are reported. We find that at a network signal-to-noise ratio (SNR) of 30, statistical uncertainties are usually larger than systematic offsets, while at an SNR of 70 the two become comparable. The individual black hole and neutron star masses, as well as the mass ratios, are typically measured very precisely, though not always accurately at high SNR. At a SNR of 30 the neutron star tidal deformability can only be bound from above, while for louder sources it can be measured and constrained away from zero. All neutron stars in our simulations are non-spinning, but in no case we can constrain the neutron star spin to be smaller than $\sim0.4$ (90% credible interval). Waveform families whose late inspiral has been tuned specifically for neutron star black hole signals typically yield the most accurate characterization of the source parameters. Their measurements are in tension with those obtained using waveform families tuned against binary neutron stars, even for mass ratios that could be relevant for both binary neutron stars and neutron star black holes mergers.
Extracting Astrophysical Information of Highly-Eccentric Binaries in the Millihertz Gravitational Wave Band
UCLA（加州大学洛杉矶分校）；Mani L. Bhaumik Institute for Theoretical Physics, Department of Physics and Astronomy, UCLA（加州大学洛杉矶分校物理与天文学系马尼·L·巴乌米克理论物理研究所）；LIGO Laboratory, California Institute of Technology（加州理工学院LIGO实验室）；Department of Physics, The Chinese University of Hong Kong（香港中文大学物理系）；RESCEU, The University of Tokyo（东京大学RESCEU）；Rudolf Peierls Centre for Theoretical Physics, Parks Road, Oxford（牛津大学鲁道夫·派尔斯理论物理中心）；Department of Physics and Astronomy, University of British Columbia（不列颠哥伦比亚大学物理与天文学系）；Department of Astronomy and Astrophysics, University of California, San Diego（加州大学圣地亚哥分校天文与天体物理学系）；Center for Computational Astrophysics, Flatiron Institute（西蒙斯基金会平顿研究所计算天体物理中心）
Possible use of self-calibration to reduce systematic uncertainties in determining distance-redshift relation via gravitational radiation from merging binaries
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）
Lessons from binary dynamics of inspiralling equal-mass boson-star mergers
Perimeter Institute for Theoretical Physics（Perimeter理论物理研究所）；University of Waterloo（滑铁卢大学）；University of Cambridge（剑桥大学）；Johns Hopkins University（约翰斯·霍普金斯大学）；Caltech（加州理工学院）；Institute of Astronomy, University of Cambridge（剑桥大学天文研究所）；Kavli Institute for Cosmology, University of Cambridge（剑桥大学卡弗里宇宙学研究所）；Ecole normale supérieure（巴黎高等师范学院）；Université PSL（巴黎文理研究大学）；Sorbonne Université（索邦大学）；Université Paris Cité（巴黎西岱大学）；CNRS（法国国家科学研究中心）
Inferring the population properties of galactic binaries from LISA's stochastic foreground
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·普朗克引力物理研究所（爱因斯坦研究所））；Aristotle University of Thessaloniki（萨洛尼加亚里士多德大学）；Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens（雅典国立天文台天文学、天体物理学、空间应用与遥感研究所）
