Assessing Multiple-Pipeline Data Products for Gravitational-Wave Candidate Events Using a New Mock Data Challenge
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Gravitational waves (GWs) are caused by massive objects accelerating. GWs cause everything they propagate through to stretch or compress. These are incredibly difficult to detect, with the first direct observation in 2015 originating from a pair of black holes merging. GWs are detected from mergers of compact objects, like black holes or neutron stars. The testing algorithms used to detect these are very complex and must be tested using mock data challenges (MDCs). The current MDC run presents some beneficial results providing necessary insight into what needs to be improved for the future.
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This research was supported by the Undergraduate Research Opportunities Program (UROP).
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Kane Stewart, Oscar; Toivonen, Andrew; Sharma Chaudhary, Sushant; Coughlin, Michael. (2025). Assessing Multiple-Pipeline Data Products for Gravitational-Wave Candidate Events Using a New Mock Data Challenge. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/275134.
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