2018 Fiscal Year Annual Research Report
重力波によるブラックホール・中性子星探査の現実的天体分布を用いた改善
Project/Area Number |
18F18013
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Research Institution | The University of Tokyo |
Principal Investigator |
カンノン キップ 東京大学, 大学院理学系研究科(理学部), 准教授 (50777886)
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Co-Investigator(Kenkyū-buntansha) |
FONG HEATHER 東京大学, 理学(系)研究科(研究院), 外国人特別研究員
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Project Period (FY) |
2018-11-09 – 2021-03-31
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Keywords | gravitational wave / black hole / neutron star / detection / astrophysics / population model |
Outline of Annual Research Achievements |
Since November 2018, Dr. Fong has implemented the source-dependent ranking statistic into GstLAL, which is one of Advanced LIGO's low-latency data analysis pipelines for compact binary coalescences. In order to determine whether this source-dependent ranking statistic improves the pipeline, she performed searches using this new ranking statistic, and her results show that using the new ranking statistic indeed increases the pipeline's sensitive volume by 5-10%, and in particular, improves the pipeline's ability to detect binary black hole signals. In addition, she has improved the programs that compute the source-dependent factor in the ranking statistic in order to make the computations more computationally efficient, and the program also allows the inclusion for additional source populations. In March 2019, she was invited by the University of Wisconsin-Milwaukee and gave a seminar detailing this project and her results. A source-dependent ranking statistic has been recently used to conduct a sub-threshold binary neutron star search in Advanced LIGO's first observing run, where its results have been published in Magee et al. 2019. This publication presents new binary neutron star triggers which were previously not found in the first analysis, but have now been identified because of improvements to the pipeline, of which include the implementation of a source-dependent ranking statistic.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
All of the intended goals for the reporting period were achieved. The original proposal included an amount for the purchase of a computer, but additional opportunities to present Dr. Fong's research work internationally became available and those costs were covered with the funds while existing computer equipment continued to be used until next fiscal year.
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Strategy for Future Research Activity |
In FY2019, Dr. Fong will continue to test the improved ranking method for different types of source populations, such as binary black holes, binary neutron stars, and neutron star‐black holes. Due to an additional international conference that I attended in the previous fiscal year, the purchasing of a new personal computer has been delayed to fiscal year 2019. LIGO's third observation run began in early April, and Dr. Fong will be analyzing new events as well as reanalyzing data from previous observation runs in order to look for sub‐threshold events. Trips will be taken for outreach and research purposes; in particular, the research trips will focus on preparing KAGRA for observing mode by the end of 2019.
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