Skymapper Optical Follow-Up Of Gravitational Wave Triggers: Alert Science Data Pipeline And Ligo/Virgo O3 Run

We present an overview of the SkyMapper optical follow-up programme for gravitational-wave event triggers from the LIGO/Virgo observatories, which aims at identifying early GW170817-like kilonovae out to similar to 200 Mpc distance. We describe our robotic facility for rapid transient follow-up, which can target most of the sky at delta <+10deg to a depth of i(AB) approximate to 20 mag. We have implemented a new software pipeline to receive LIGO/Virgo alerts, schedule observations and examine the incoming real-time data stream for transient candidates. We adopt a real-bogus classifier using ensemble-based machine learning techniques, attaining high completeness (similar to 98%) and purity (similar to 91%) over our whole magnitude range. Applying further filtering to remove common image artefacts and known sources of transients, such as asteroids and variable stars, reduces the number of candidates by a factor of more than 10. We demonstrate the system performance with data obtained for GW190425, a binary neutron star merger detected during the LIGO/Virgo O3 observing campaign. In time for the LIGO/Virgo O4 run, we will have deeper reference images allowing transient detection to i(AB) approximate to 21 mag.