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 · 2022-09-02 10:28 · Views 528

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