Sviatoslav Khukhlaev | Searcharxiv

arXiv2025

Assessing signal cross talk between extreme-mass-ratio inspirals and Galactic binaries in LISA data

The future space-based gravitational wave observatory, the Laser Interferometer Space Antenna, is expected to observe between 1-1000s extreme mass-ratio inspirals (EMRIs) per year. Due to the simultaneous presence of other gravitational wave signals in the data, it can be challenging to detect EMRIs and accurately estimate their parameters. In this work, we investigate the interaction between a gravitational signal from an EMRI and millions of signals from inspiralling Galactic white dwarf binaries. We demonstrate that bright Galactic binaries can contaminate the detection and characterization of EMRIs. We perform Bayesian inference of EMRI parameters after removing resolvable Galactic binaries and confirm an accuracy comparable to that expected in Gaussian noise.

gr-qc↗

arXiv2024

Neural density estimation for Galactic Binaries in LISA data analysis

The future space based gravitational wave detector LISA (Laser Interferometer Space Antenna) will observe millions of Galactic binaries constantly present in the data stream. A small fraction of this population (of the order of several thousand) will be individually resolved. One of the challenging tasks from the data analysis point of view will be to estimate the parameters of resolvable galactic binaries while disentangling them from each other and from other gravitational wave sources present in the data. This problem is quite often referred to as a global fit in the field of LISA data analysis. A Bayesian framework is often used to infer the parameters of the sources and their number. The efficiency of the sampling techniques strongly depends on the proposals, especially in the multi-dimensional parameter space. In this paper we demonstrate how we can use neural density estimators, and in particular Normalising flows, in order to build proposals which significantly improve the convergence of sampling. We also demonstrate how these methods could help in building priors based on physical models and provide an alternative way to represent the catalogue of identified gravitational wave sources.

gr-qc↗