空间激光干涉仪(LISA)预计将探测到约百个由黑洞与中子星组成的银河系双星系统。本研究通过贝叶斯推断分析了LISA区分这些天体并测量其质量组分的能力,评估了利用轨道参数进行分类的可行性。
arXiv:2507.11442v2 Announce Type: replace Abstract: The Laser Interferometer Space Antenna (LISA) will detect $\sim 100$ galactic binary systems comprised of black holes and neutron stars. Distinguishing these binaries from the $\sim 10^4$ double white dwarfs detectable by LISA will be challenging. In the absence of any other information, the inferred component masses can be used to classify the nature of these objects. However, short-period galactic binaries $\sim 10^7$--$10^3\,\mathrm{yr}$ from coalescence produce a quasi-monochromatic signal which carries little information about their masses. We generate synthetic LISA data sets containing gravitational waves from Galactic binary black holes, binary neutron stars and black hole-neutron stars drawn from an astrophysically realistic population produced through the isolated binary evolution channel. We use a Bayesian inference pipeline to explore the accuracy with which the component masses can be measured. LISA will be able to infer component masses for $\approx 10\% - 50\%$ of the detected systems by measuring the orbital eccentricity, periapse precession frequency, and gravitational-wave induced frequency derivative. Typical fractional mass errors are $\approx 1\%$--$100\%$ (depending on the specific value of the source parameters) enabling the classification of the constituent objects as black holes or neutron stars. For these binaries, LISA will also be able
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