TL;DR
This paper introduces key concepts and methods for analyzing LISA data, focusing on detection and parameter estimation of various gravitational wave sources based on Mock LISA Data Challenges.
Contribution
It provides an overview of data analysis techniques and tools developed for LISA, highlighting advancements in detecting black-hole binaries, inspirals, and Galactic binaries.
Findings
Development of detection algorithms for supermassive black-hole binaries
Parameter estimation methods for extreme mass-ratio inspirals
Analysis of Galactic binary signals in simulated LISA data
Abstract
This article is an introduction for the nonpractitioner to the ideas and issues of LISA data analysis, as reflected in the explorations and experiments of the participants in the Mock LISA Data Challenges. In particular, I discuss the methods and codes that have been developed for the detection and parameter estimation of supermassive black-hole binaries, extreme mass-ratio inspirals, and Galactic binaries.
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