Papers
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Total Citations
11
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About
Dr. Sara Webb is an astrophysicist at the forefront of time-domain astronomy, specializing in the detection and characterization of fast transients—celestial events that brighten and fade on timescales from sub-seconds to days. Her major contribution lies in developing machine learning pipelines to handle the immense data volumes from the Deeper, Wider, Faster (DWF) programme, a global multi-observatory campaign. She led the creation of the ROBOT (Removal Of BOgus Transients) pipeline, a sophisticated algorithm that dramatically reduces the bottleneck of manual candidate vetting, enabling real-time classification of genuine astrophysical transients from false positives. This work, published in 2022, has already garnered 11 citations, reflecting its immediate impact on the field. Dr. Webb’s research is pivotal for maximizing the scientific yield of next-generation surveys like the Vera C. Rubin Observatory, where rapid, automated transient identification will be essential. Her innovative blend of observational astronomy and machine learning positions her as a key figure in the era of big-data astrophysics, helping to unlock the physics behind explosive events such as supernovae, gamma-ray bursts, and neutron star mergers.
Research Focus
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Top Papers
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