Modular global-fit pipeline for LISA data analysis

TL;DR

This paper introduces a flexible and scalable pipeline for analyzing overlapping gravitational wave signals in LISA data, addressing the complex challenge of detecting and characterizing multiple sources simultaneously.

Contribution

The paper presents a novel modular global-fit pipeline tailored for LISA data, capable of handling multiple overlapping sources across various astrophysical populations.

Findings

Successfully demonstrated on simulated LISA data (LDC2a)

Effective in disentangling overlapping signals

Scalable to multiple sources and populations

Abstract

We anticipate that the data acquired by the Laser Interferometer Space Antenna (LISA) will be dominated by the gravitational wave signals from several astrophysical populations. The analysis of these data is a new challenge and is the main focus of this paper. Numerous gravitational wave signals overlap in the time and/or frequency domain, and the possible correlation between them has to be taken into account during their detection and characterization. In this work, we present a method to address the LISA data analysis challenge; it is flexible and scalable for a number of sources and across several populations. Its performance is demonstrated on the simulated data LDC2a.