A mock data challenge for next-generation detectors

TL;DR

This paper introduces the first mock data challenge for the Einstein Telescope, a next-generation gravitational-wave detector, to test analysis pipelines and prepare for future data analysis challenges.

Contribution

It presents the simulated dataset, properties of injected signals, and a tutorial, establishing a baseline for future challenges and collaborative development.

Findings

Simulated dataset and injected GW signals detailed

Guidelines provided for data access and analysis

Baseline established for future mock data challenges

Abstract

The Einstein Telescope (ET), a planned third-generation gravitational-wave (GW) observatory, will offer significantly improved sensitivity, introducing new challenges for data analysis and computing. To prepare for these demands, the ET community has initiated a series of Mock Data Challenges (MDCs) aimed at developing and testing analysis pipelines under realistic conditions. This paper presents the first ET MDC, providing an overview of the simulated dataset and the properties of the injected GW signals, with a focus on populations of compact binary coalescences and Gaussian noise. A tutorial is also included to guide users in accessing the data and performing basic analyses. This initial challenge establishes a baseline for future MDCs and supports collaborative efforts toward the successful scientific operation of the ET.