• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2021 Fiscal Year Final Research Report

Development of data quality evaluation system for the realtime triggers of gravitational wave observation

Research Project

  • PDF
Project/Area Number 19K03896
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 15020:Experimental studies related to particle-, nuclear-, cosmic ray and astro-physics
Research InstitutionFukuoka University

Principal Investigator

Hayama Kazuhiro  福岡大学, 理学部, 准教授 (70570646)

Project Period (FY) 2019-04-01 – 2022-03-31
Keywordsgravitational wave / KAGRA / observation
Outline of Final Research Achievements

In order to realize a real-time gravitational wave observation, we established a method to quantitatively evaluate the quality of observation data depending on the telescope's operating conditions and reflect it in the gravitational wave observation, based on the effects of external environmental disturbances on the telescope's operation. Then, we classified the telescope's observation status into four categories, and established a system to efficiently conduct gravitational wave observations and to perform them in almost realtime.
We focused on the analysis of observation data from the first joint observation by LIGO, Virgo, GEO, and KAGRA in 2020. We led the international joint observation team in the search for abrupt gravitational waves with unknown waveforms of a few milliseconds to a few seconds in duration, analyzed the observation data, and obtained upper limits for abrupt gravity waves within the observation period.

Free Research Field

gravitational wave astronomy、重力波天文学

Academic Significance and Societal Importance of the Research Achievements

本研究では突発性重力波探査において、KAGRAの観測データの質を評価するシステムを構築し、それを初のLIGO-Virgo-KAGRA共同観測に適用したこと。観測データの質を評価することは、サイエンスを行う上で必須のことであり、そのシステムを構築したことは意義深いと考える。また、実際に観測データに適用し、KAGRAにとって初の国際共同観測の論文の突発性重力波探査のパートを担当したことも重要な進歩であると言える。

URL: 

Published: 2023-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi