29–30 May 2023
National Tsing Hua University (NTHU)
Asia/Taipei timezone

GW data workshop

GW data workshop @ KIW-10
 

Registration form

 

LIGO, Virgo, and KAGRA (LVK) will start the fourth observing run with unprecedented sensitivity from 24 May, 2023. To promote gravitational wave science with LVK data, the KAGRA collaboration in Taiwan will host a 1.5-day GW data workshop right before KIW10 at National Tsing Hua University on 27-28 May, 2023.


 

The data workshop will provide an opportunity to learn/study GW data analysis with mentors in person. This workshop is intended for students or scientists who wish to learn about GW data and software in order to conduct research in the field of gravitational-wave astrophysics.


 

The program includes a mixture of lecture style presentations and hands-on programming exercises. This workshop will be an in-person event.



Prerequisites

 

Venue

R124, Physics Building, NTHU


 

Registration

Advance registration for the workshop is required and it is free for everyone; it is not necessary to register KIW10. If you are interested in this data workshop, please register here.


Registration form
 

 

GW data workshop @KIW10: Schedule
2023/05/27

Time

Topic

Speaker

13:30 ~ 14:00

Introduction of Gravitational Waves, LVK detectors

Chia-Jui Chou

14:00 ~ 14:30

Introduction on IGWN, Interactive/Web Apps

Yu-Chiung Lin

14:30 ~ 14:45

Break Time

14:45 ~ 15:45

Open Data and GW Data Quality

Lupin Lin

15:45 ~ 16:00

Coffee  Break

16:00 ~ 17:30

Data Mining and Signal Processing, GWpy

Surojit Saha

17:30 ~

Discussion


 

2023/05/28

Time

Topic

Speaker

09:30 ~ 10:30

CBC Searches and Matched Filtering, PyCBC

En-Tzu Lin

10:30 ~ 10:45

Coffee Break

10:45 ~ 12:00

Sky Localization, BAYESTARAndy Chen

12:00 ~ 13:30

Lunch Time

13:30 ~ 14:15

Bayesian Analysis and Stochastic Sampling

Chia-Jui Chou

14:15 ~ 14:30

Break Time

14:30 ~ 15:30

Parameter Estimation, Bilby

Chia-Jui Chou

15:30 ~ 16:00

Coffee Break

16:00 ~ 17:30

GW of Core-Collapse Supernova

Kuo-Chuan Pan