53 citations · 238 across the 12 of their papers we have counts for
17 papers
Self-Supervised Clustering on Image-Subtracted Data with Deep-Embedded Self-Organizing Map
Y. -L. Mong, K. Ackley, T. L. Killestein +45
Developing an effective automatic classifier to separate genuine sources from artifacts is essential for transient follow-ups in wide-field optical surveys. The identification of t…
Where are the magnetar binary companions? Candidates from a comparison with binary population synthesis predictions
A. A. Chrimes, A. J. Levan, A. S. Fruchter +7
It is well established that magnetars are neutron stars with extreme magnetic fields and young ages, but the evolutionary pathways to their creation are still uncertain. Since most…
New candidates for magnetar counterparts from a deep search with the Hubble Space Telescope
A. A. Chrimes, A. J. Levan, A. S. Fruchter +5
We report the discovery of six new magnetar counterpart candidates from deep near-infrared Hubble Space Telescope imaging. The new candidates are among a sample of nineteen magneta…
Searching For Fermi GRB Optical Counterparts With The Prototype Gravitational-Wave Optical Transient Observer (GOTO)
Y. -L. Mong, K. Ackley, D. K. Galloway +45
The typical detection rate of gamma-ray burst (GRB) per day by the \emph{Fermi} Gamma-ray Burst Monitor (GBM) provides a valuable opportunity to further our understanding o…
Light curve classification with recurrent neural networks for GOTO: dealing with imbalanced data
U. F. Burhanudin, J. R. Maund, T. Killestein +42
The advent of wide-field sky surveys has led to the growth of transient and variable source discoveries. The data deluge produced by these surveys has necessitated the use of machi…
Processing GOTO data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and light curves
L. Makrygianni, J. Mullaney, V. Dhillon +45
We have adapted the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Science Pipelines to process data from the Gravitational-Wave Optical Transient Observer (GOTO)…