A5043080008- Pulsars and Gravitational Waves Research
- Seismology and Earthquake Studies
- Gamma-ray bursts and supernovae
- Seismic Waves and Analysis
McGill University
2022-2024
Abstract GWSkyNet-Multi is a machine learning model developed for the classification of candidate gravitational-wave events detected by LIGO and Virgo observatories. The uses limited information released in low-latency Open Public Alerts to produce prediction scores indicating whether an event merger two black holes (BHs), involving neutron star (NS), or non-astrophysical glitch. This facilitates time-sensitive decisions about perform electromagnetic follow-up during LIGO-Virgo-KAGRA (LVK)...
Abstract Compact object mergers which produce both detectable gravitational waves and electromagnetic (EM) emission can provide valuable insights into the neutron star equation of state, tension in Hubble constant, origin r -process elements. However, EM follow-up wave sources is complicated by false-positive detections, transient nature associated emission. GWSkyNet-Multi a machine learning model that attempts facilitate providing real-time predictions source detection. The uses information...
GWSkyNet-Multi is a machine learning model developed for classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The uses limited information released in low-latency Open Public Alerts to produce prediction scores indicating whether an event merger two black holes, involving neutron star, or non-astrophysical glitch. This facilitates time sensitive decisions about perform electromagnetic follow-up during LIGO-Virgo-KAGRA (LVK) observing runs....