Speaker
Hugh Roxburgh
(Curtin University)
Description
The Transiting Exoplanet Survey Satellite (TESS) has been operating for nearly eight years, repeatedly surveying the entire sky with cadences no slower than 30 minutes. This has produced an enormous, largely unexplored time-domain data set. Using the TESSELLATE pipeline, we can blindly extract transient events on timescales from 200 seconds to four weeks, opening a new window on rapidly evolving astrophysical phenomena. In this talk, I will present our first systematic searches for the fastest transients in TESS data, combining tailored filtering techniques, machine learning classification, and citizen science to identify and characterise hundreds of thousands of candidate events.
Authors
Armin Rest
(STScI)
Brayden Leicester
(University of Canterbury)
Clarinda Montilla
(University of Canterbury)
Hugh Roxburgh
(Curtin University)
Jaime Luisi
(University of Canterbury)
Qinan Wang
(Massachusetts Institute of Technology)
Ryan Ridden
(University of Canterbury)
Zachary Lane
(University of Canterbury)
