Characterizing the performance of low-latency gravitational wave detection algorithms

In the LIGO, Virgo, KAGRA (LVK) Collaboration there are multiple independent detection algorithms for gravitational wave signals. In order to enable rapid electromagnetic follow-up of gravitational wave candidates we must rely on detection pipelines to provide accurate results in low latency. In this context, it is important that we are able to fully characterize the performance of these searches. I will present my work in developing an integrated system to provide consistency checks on search data products using simulated signals. The system provides real time feedback on search sensitivity, accuracy of inferred signal parameters, source classification, and sky localization all conveniently visualized through web-based dashboards. I will show results of these tests on one month of replayed strain data from the third observing run using the GstLAL search pipeline.