82 citations · 101 across the 10 of their papers we have counts for
4 papers · 1 filter
Attention-Based Preprocessing Framework for Improving Rare Transient Classification
Xinyue Sheng, Tuan Dung Pham, Zichi Zhang +2
With large numbers of transients discovered by current and future imaging surveys, machine learning is increasingly applied to light curve and host galaxy properties to select even…
The La Silla Schmidt Southern Survey
Adam A. Miller, Natasha S. Abrams, Greg Aldering +75
We present the La Silla Schmidt Southern Survey (LS4), a new wide-field, time-domain survey to be conducted with the 1 m ESO Schmidt telescope. The 268 megapixel LS4 camera mosaics…
NEural Engine for Discovering Luminous Events (NEEDLE): identifying rare transient candidates in real time from host galaxy images
Xinyue Sheng, Matt Nicholl, Ken W. Smith +6
Known for their efficiency in analyzing large data sets, machine learning classifiers are widely used in wide-field sky surveys. The upcoming Vera C. Rubin Observatory Legacy of Ti…
Stochastic Recurrent Neural Networks for Modelling Astronomical Time Series: Advantages and Limitations
Xinyue Sheng, Matt Nicholl, Nicholas Ross
This paper reviews the Stochastic Recurrent Neural Network (SRNN) as applied to the light curves of Active Galactic Nuclei by Sheng et al. (2022). Astronomical data have inherent l…