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Multivariate classification with random forests for gravitational wave searches of black hole binary coalescence
Searches for gravitational waves produced by coalescing black hole binaries with total masses $\ensuremath{\gtrsim}25\text{ }\text{ }{\mathrm{M}}_{\ensuremath{\bigodot}}$ use matched filtering with templates of short duration. Non-Gaussian noise bursts in gravitational wave detector data can mimic short signals and limit the sensitivity of these searches. Previous searches have relied on empirically designed …