| 研究実績の概要 |
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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| 今後の研究の推進方策 |
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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