[NCTS Seminar - Particle Physics Journal Club] Machine Learning Applications in Gravitational Wave Physics: Glitch Classifications and Introduction to Waveform forecasting

  • Event Date: 2025-05-12
  • High energy phenomenology
  • Speaker: Prof. Marco Meyer-Conde (Tokyo City University)  /  Host:
    Place: NCTS Physics 4F Lecture Hall, Cosmology Hall, NTU

Speaker: Prof. Marco Meyer-Conde (Tokyo City University)
Talk title: Machine Learning Applications in Gravitational Wave Physics: Glitch Classifications and Introduction to Waveform forecasting
Time: 2025/05/12 (Mon.) 12:30
Place: NCTS Physics 4F Lecture Hall, Cosmology Hall, NTU

Abstract: 
Gravitational Wave (GW) Physics has entered a new Multi-Messenger Astronomy (MMA) era, marked by increasing detections from GW observatories led by LIGO, Virgo, and KAGRA collaborations. This presentation will introduce the KAGRA experiment and explore the transformative role of machine learning (ML) in GW data analysis — some ML key applications, among which glitch identification, will be discussed. This talk will also bridge some advancements in computational techniques between fundamental research in Astrophysics and High-Energy Physics (HEP) through a new HEP ecosystem initiative.

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