An overview of the second round of the Mock LISA Data Challenges

TL;DR

This paper reviews the second round of the Mock LISA Data Challenges, which aim to develop and test gravitational wave data analysis tools using realistic simulated LISA data containing complex astrophysical signals.

Contribution

It provides a comprehensive overview of the second MLDCs, detailing their design, implementation, and the realistic data sets used for testing analysis techniques.

Findings

Second-round data sets include diverse astrophysical sources.

Designed to mimic real LISA data complexity.

Facilitates testing of advanced data-analysis methods.

Abstract

The Mock Data Challenges (MLDCs) have the dual purpose of fostering the development of LISA data-analysis tools and capabilities and of demonstrating the technical readiness already achieved by the gravitational-wave community in distilling a rich science payoff from the LISA data. The first round of MLDCs has just been completed and the second-round data sets are being released shortly after this workshop. The second-round data sets contain radiation from an entire Galactic population of stellar-mass binary systems, from massive--black-hole binaries, and from extreme--mass-ratio inspirals. These data sets are designed to capture much of the complexity that is expected in the actual LISA data, and should provide a fairly realistic setting to test advanced data-analysis techniques, and in particular the global aspect of the analysis. Here we describe the second round of MLDCs and provide details about its implementation.