Oral Presentation

Development of GW studies in UNIST

Author(s): Lupin Chun-Che Lin (UNIST)

Presenter: Chun-Che (Lupin) Lin (UNIST)

Studies in GWs gained in popularity because it provides the most direct way to examine Einstein’s general relativity. In order to participate the related researches and attend the east Asian group of the similar investigations, we apply to join the KCF (KAGRA committee facility) and started our collaboration with some specific groups. To study the numerous GW data, the support of the technology in computer science and signal processing is important. We consider different numerical methods and compare with the Q-transform majorly apply in the current analysis of LIGO data. We will also introduce these dynamical timing algorithms to examine the variability or quasi-periodicities of ULXs. Except for the efforts to study the KAGRA DetChar (Detector Characterization) and DQ (Data Quality) pipeline, we will also be involved in the studies on the machine learning and the deep filtering to seek for a systematic method to have a rapid detection and characterization of GW signals from the patterns of the time series or of periodograms.