Low-Latency Noise Mitigation Techniques in Gravitational-Wave Detector Data Using Auxiliary Sensor Information
Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube
Course Description
Overview
Explore low-latency noise mitigation techniques in gravitational-wave detector data using auxiliary sensor information in this 34-minute conference talk by Patrick Godwin from Pennsylvania State University. Delve into the challenges of non-Gaussian noise transients and non-stationary noise in gravitational-wave detectors, their impact on detector sensitivity, and their potential to mimic astrophysical signals. Discover the importance of automated noise mitigation methods for rapid multi-messenger follow-up of confident astrophysical events. Examine current low-latency noise mitigation approaches, challenges in accessing real-time strain and auxiliary sensor data, and innovative techniques for swift transient noise mitigation. Learn about various noise types, sources, data rates, and specific tools like the Snacks Toolkit. Understand the significance of latency budgets, IDQ workflow, statistical veto methods, and their application in events like GW170817. Gain insights into the cutting-edge field of multi-messenger astrophysics and its intersection with big data challenges.
Syllabus
Intro
Overview
Noise Types
Noise Sources
Data Rates
Noise Mitigation Techniques
Snacks Toolkit
Latency
Latency Budget
IDQ
Workflow
Features
Statistical Veto
GW170817
IQDQ
Taught by
Institute for Pure & Applied Mathematics (IPAM)
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