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분산 컴퓨팅을 이용한 중력파 검출을 위한 데이터 분석

ANALYSIS OF GRAVITATIONAL WAVE EXPERIMENTAL DATA WITH DISTRIBUTED COMPUTING

  • 임수일 (서울대학교 물리천문학부) ;
  • 이형목 (서울대학교 물리천문학부) ;
  • 김진호 (서울대학교 물리천문학부) ;
  • 오상훈 (서울대학교 물리천문학부) ;
  • 이상민 (한국과학기술정보연구원)
  • Lim, Soo-Il (School of Physics and Astronomy, Seoul National University) ;
  • Lee, Hyung-Mok (School of Physics and Astronomy, Seoul National University) ;
  • Kim, Jin-Ho (School of Physics and Astronomy, Seoul National University) ;
  • Oh, Sang-Hoon (School of Physics and Astronomy, Seoul National University) ;
  • Lee, Sang-Min (Korea Institute of Science and Technology Information)
  • 발행 : 2007.06.30

초록

Many gravitational wave detectors are now being built or under operation throughout the world. In particular, LIGO has taken scientific data several times, although current sensitivity is not sufficient to detect the weak signals routinely. However, the sensitivities have been improving steadily over past years so that the real detection will take place in the near future. Data analysis is another important area in detecting the gravitational wave signal. We have carried out the basic research in order to implement data analysis software in Korea@home environment. We first studied the LIGO Science Collaboration Algorithm Library(LAL) software package, and extracted the module that can generate the virtual data of gravitational wave detector. Since burst sources such as merging binaries of neutron stars and black holes are likely to be detected first, we have concentrated on the simulation of such signals. This module can generate pure gravitational wave forms, noise suitable for LIGO, and combination of the signal and noise. In order to detect the gravitational signal embedded in the noisy data, we have written a simple program that employs 'matched filtering' method which is very effective in detecting the signal with known waveform. We found that this method works extremely well.

키워드

참고문헌

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