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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

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MINDS Seminar Series | Kyungmin Kim (Ewha Womans University) - Deep Learning-based Search for Microlensing Signature from Binary Black Hole Events in GWTC-1 and -2

MINDS SEMINAR
period : 2022-09-22 ~ 2022-09-22
time : 17:00:00 ~ 18:00
개최 장소 : Math Bldg 404 & Online streaming (Zoom)
Topic : Deep Learning-based Search for Microlensing Signature from Binary Black Hole Events in GWTC-1 and -2
개요
Date 2022-09-22 ~ 2022-09-22 Time 17:00:00 ~ 18:00
Speaker Kyungmin Kim Affiliation Ewha Womans University
Place Math Bldg 404 & Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic Deep Learning-based Search for Microlensing Signature from Binary Black Hole Events in GWTC-1 and -2
Contents We present the result of the first deep learning-based endeavor for searching the signature of microlensing in gravitational waves. This search seeks the signature induced by lenses with masses between 10^3 M_sun - 10^5 M_sun from spectrograms of the binary black hole events in the first and second gravitational-wave transient catalogs. We use a deep learning model trained with spectrograms of simulated noisy gravitational-wave signals to classify the events into two classes, lensed or unlensed. We introduce ensemble learning and a majority voting-based consistency test for the predictions of ensemble learners. The classification scheme of this search primarily classifies one event, GW190707_093326, into the lensed class. We observe the median probability of the event, 0.984^{+0.012}_{-0.342}, agrees with an empirical criterion >0.6 for claiming the detection of a lensed signal. However, the uncertainty of the estimated p-value for the median probability and error, ranging from 0 to 0.1, convinces us GW190707_093326 is less likely a lensed event because it includes p >= 0.05 where the unlensed hypothesis is true. Therefore, we conclude our search finds no significant evidence of microlensing signature from the evaluated binary black hole events.
MinDS MinDS · 2022-09-02 10:28 · Views 522

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