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Non-Astrophysical Transients in LIGO Detectors: Help With Machine Learning

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Machine Learning Courses Data Analysis Courses Astrophysics Courses

Course Description

Overview

Explore machine learning techniques for diagnosing non-astrophysical transients in LIGO detectors in this 34-minute conference talk by Gabriela González from Louisiana State University. Presented at IPAM's Workshop IV: Big Data in Multi-Messenger Astrophysics, the talk delves into examples of how advanced algorithms can aid in identifying and understanding anomalous signals that are not of cosmic origin. Gain insights into the challenges faced by gravitational wave researchers and the innovative solutions being developed to improve data analysis in the field of multi-messenger astrophysics.

Syllabus

Gabriela Gonzalez - Non-astrophysical transients in LIGO detectors: help with machine learning


Taught by

Institute for Pure & Applied Mathematics (IPAM)

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