May 16 – 18, 2025
College of Management, National Formosa University 國立虎尾科技大學第三校區文理暨管理大樓
Asia/Taipei timezone
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Machine Learning on Gravitational Wave Sky Localization: GW-SkyLocator_ARQS

May 17, 2025, 5:30 PM
15m
Room CMA0103 (College of Management, National Formosa University)

Room CMA0103

College of Management, National Formosa University

Speaker

Chin Yi Chang (NTHU)

Description

Rapid localization plays an important role in multi-messenger astronomy. GW-SkyLocator_ARQS is a machine-learning method that realizes the low-latency search on compact binary coalescence. We provide the performance of GW-SkyLocator_ARQS on binary neutron star events with three detectors and four detectors.

Section Cosmology

Primary author

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