Abstract
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 200 Mpc distance. We describe our robotic facility for rapid transient follow-up, which can target most of the sky at +10deg to a depth of iAB 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 (98%) and purity (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 iAB 21 mag.
| Original language | English |
|---|---|
| Article number | e024 |
| Journal | Publications of the Astronomical Society of Australia |
| Volume | 38 |
| DOIs | |
| Publication status | Published - 2021 |
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