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The Mock LISA Data Challenge 4.0 simulated the joint two-year recording of gravitational wave signals from mergers of spinning black holes, extreme mass ratio inspirals, Galactic white dwarf binaries, bursts from cosmic strings, and a stochastic background—all over LISA instrument noise. We analysed this data using a global multi-start box and bound optimization scheme, incorporating multi-dimensional Nelder Mead simplex 2 optimization. Our scheme identified 2658 binaries. Of these, 2246 were found to systematically decompose the power in a strong spinning black hole merger into a "white dwarf binary transform". The remaining 416 binaries were identified with a false alarm rate of ~ 23%.


Published under licence in Journal of Physics: Conference Series by IOP Publishing Ltd. CC-BY Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.’

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Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Physics: Conference Series





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