Slice & Dice: Identifying and Removing Bright Galactic Binaries from LISA Data

TL;DR

This paper introduces Slice & Dice, a hierarchical algorithm that detects, characterizes, and removes bright galactic binaries from LISA data, improving the analysis of gravitational wave signals.

Contribution

The paper presents a novel iterative method combining F-statistic and least squares fitting for effective removal of bright binaries in LISA data.

Findings

Successful removal of multiple correlated binaries in simulations

Potential for improved LISA data analysis

Demonstrates effectiveness of hierarchical approach

Abstract

Here we describe a hierarchal and iterative data analysis algorithm used for searching, characterizing, and removing bright, monochromatic binaries from the Laser Interferometer Space Antenna (LISA) data streams. The algorithm uses the F-statistic to provide an initial solution for individual bright sources, followed by an iterative least squares fitting for all the bright sources. Using the above algorithm, referred to as Slice & Dice, we demonstrate the removal of multiple, correlated galactic binaries from simulated LISA data. Initial results indicate that Slice & Dice may be a useful tool for analyzing the forthcoming LISA data.