YoVDO

Characterization of Ground-Based Gravitational-Wave Detector Data - IPAM at UCLA

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

Tags

Gravitational Wave Astronomy Courses Data Analysis Courses Signal Processing Courses

Course Description

Overview

Explore the challenges and techniques in gravitational wave detection through this comprehensive tutorial presented by Marco Cavaglia at IPAM's Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy event. Delve into the complexities of distinguishing astrophysical signals from instrumental or environmental noise triggers in ground-based gravitational-wave detector data. Discover common methods for reducing background noise in gravitational-wave searches and learn about innovative approaches being developed to enhance data quality. Gain insights into the LIGO detector's components, including the laser input, power recycling cavity, core optics, suspensions, signal recycling, and readout system. Understand the importance of calibration, end test mass, and auxiliary channels in data analysis. Engage with a quiz to reinforce your understanding of auxiliary channel data and noise characterization techniques.

Syllabus

Intro
Title
Abstract
Pipeline
LIGO
Laser
Input Mod Cleaner
Power Recycling Cavity
Core Optics
Finesse
Optics
Suspensions
Silica fibers
Sensor isolation
Signal recycling
readout system
calibration
end test mass
channels
auxiliary channels
quiz
auxiliary channel data
noise


Taught by

Institute for Pure & Applied Mathematics (IPAM)

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