Gravitational Wave Data Analysis: Computing Challenges in the 3G Era
Peter Couvares, Ian Bird, Ed Porter, Stefano Bagnasco, Michele, Punturo, David Reitze, Stavros Katsanevas, Takaaki Kajita, Vicky Kalogera,, Harald Lueck, David McClelland, Sheila Rowan, Gary Sanders, B.S., Sathyaprakash, David Shoemaker, Jo van den Brand

TL;DR
This paper discusses the computational and cyberinfrastructure challenges for next-generation 3G gravitational-wave detectors, emphasizing scalable data analysis, storage, and management to handle increased detection rates and expanded search parameters.
Contribution
It identifies major challenges and opportunities in 3G gravitational-wave data analysis infrastructure and offers recommendations for scalable, sustainable cyberinfrastructure development.
Findings
Highlights the need for scalable computing infrastructure
Identifies key challenges in data access and transfer protocols
Provides strategic recommendations for 3G GW data analysis
Abstract
Cyber infrastructure will be a critical consideration in the development of next generation gravitational-wave detectors. The demand for data analysis computing in the 3G era will be driven by the high number of detections as well as the expanded search parameter space for compact astrophysical objects and the subsequent parameter estimation follow-up required to extract the nature of the sources. Additionally, there will be an increased need to develop appropriate and scalable computing cyberinfrastructure, including data access and transfer protocols, and storage and management of software tools, that have sustainable development, support, and management processes. This report identifies the major challenges and opportunities facing 3G gravitational-wave observatories and presents recommendations for addressing them. This report is the fourth in a six part series of reports by the…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
