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）
Galactic binaries are expected to be the most numerous LISA sources and to produce a stochastic gravitational-wave foreground whose spectral shape encodes information about the underlying population. Extracting this information with standard hierarchical methods is challenging due to the high dimensionality of the problem and the computational cost of global-fit analyses. We present a simulation-based inference framework to measure the population properties of galactic binaries directly from the reconstructed foreground. Adopting an astrophysically agnostic parametrization in the observable space -- defined by signal amplitude, frequency, and frequency derivative -- we generate synthetic catalogs and foreground spectra using a global-fit-inspired subtraction algorithm. We then train a neural posterior estimator to map spectra to population parameters. We validate our method on simulated data and recover population parameters with good accuracy, including the total number of binaries. As a by-product, we present a GPU-accelerated version of the subtraction algorithm, which delivers a ~100X speed-up compared to previous implementations in the literature. Our results demonstrate that LISA's stochastic foreground alone carries significant information about the Galactic binary population and provide a practical step toward joint inference from resolved and unresolved sources.
Realistic models of the Galactic double white dwarf (DWD) population are crucial for testing and quantitatively defining the science objectives of the Laser Interferometer Space Antenna (LISA), a future European Space Agency's gravitational-wave observatory. In addition to numerous individually detectable DWDs, LISA will also detect an unresolved confusion foreground produced by the underlying Galactic population, which will affect the detectability of all LISA sources at frequencies below a few mHz. So far, the modelling of the DWD population for LISA has been based on binary population synth…
Population synthesis predictions of the Galactic compact binary gravitational wave foreground detectable by LISA
Newcastle University（纽卡斯尔大学）；Durham University（杜伦大学）；University of Southampton（南安普顿大学）；INAF – Osservatorio Astronomico di Capodimonte（意大利国家天体物理研究所卡波迪蒙特天文台）；Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences（波兰科学院尼古拉·哥白尼天文学中心）
Model-Agnostic Population Inference for Gravitational-Wave Astronomy: From LVK to LISA
State Key Laboratory of Radio Astronomy and Technology, Xinjiang Astronomical Observatory, CAS（中国科学院新疆天文台射电天文与技术重点实验室）；School of Astronomy and Space Science, University of Chinese Academy of Sciences（中国科学院大学天文与空间科学学院）；Institute of Fundamental Physics and Quantum Technology, Ningbo University（宁波大学基础物理与量子技术学院）；School of Physical Science and Technology, Ningbo University（宁波大学物理科学与技术学院）
The upcoming Laser Interferometer Space Antenna (LISA) will detect a large gravitational-wave foreground of Galactic white dwarf binaries. These sources are exceptional for their probable detection at electromagnetic wavelengths, some long before LISA flies. Studies in both gravitational and electromagnetic waves will yield strong constraints on system parameters not achievable through measurements of one messenger alone. In this work, we present a Bayesian inference pipeline and simulation suite in which we study potential constraints on binaries in a variety of configurations. We show how us…
Assessing the performance of future space-based detectors: Astrophysical foregrounds and individual sources
Université Côte d’Azur（蔚蓝海岸大学）；Observatoire de la Côte d’Azur（蔚蓝海岸天文台）；Università 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）；Anton Pannekoek Institute for Astronomy, University of Amsterdam（阿姆斯特丹大学安东·潘内科克天文学研究所）；SRON Space Research Organisation Netherlands（荷兰空间研究组织）；Max Planck Institute for Astrophysics（马克斯·普朗克天体物理学研究所）
Fast premerger detection of massive black-hole binaries in LISA based on time-frequency excess power
Università dell’Insubria（因苏布里亚大学）；INFN, Sezione di Milano-Bicocca（米兰比可卡大学意大利国家核物理研究所）；Università degli Studi di Milano-Bicocca（米兰比可卡大学）；Université Côte d’Azur（蔚蓝海岸大学）；Observatoire de la Côte d’Azur（蔚蓝海岸天文台）；University of Birmingham（伯明翰大学）
Ultracompact cataclysmic variables (CVs) of the AM CVn type are deemed to be important verification sources for the future space gravitational wave detectors such as the Laser Interferometer Space Antenna (LISA). We model the present-day Galactic population of AM CVn stars with He-star donors. Such a population has long expected to exist, though only a couple of candidates are known. We applied the hybrid method of binary population synthesis (BPS) which combines a simulation of the population of immediate precursors of AM CVn stars by a fast BPS code with subsequent tracking of their evolutio…
A new model for the continuum spectra of AM CVn binaries and multi-messenger inference with normalizing flows
University of Manitoba（曼尼托巴大学）；Winnipeg Institute for Theoretical Physics（温尼伯理论物理研究所）；University of Texas Rio Grande Valley（德克萨斯大学里奥格兰德河谷分校）；South Texas Space Science Institute（南德克萨斯空间科学研究所）；Carnegie Mellon University（卡内基梅隆大学）；Texas Tech University（德克萨斯理工大学）；Flatiron Institute（平顿研究所）
