The verification of periodicity with the use of recurrent neural networks
Date Issued
2024-01
Author(s) USM
Guo, Z.
DOI
10.1093/rasti/rzae015
Abstract
The ability to automatically and robustly self-verify periodicity present in time-series astronomical data is becoming more important as data sets rapidly increase in size. The age of large astronomical surveys has rendered manual inspection of time-serie
