Poster Title
P-33 LIGO BayesWave Signal Algorithm
Abstract
One of the tools that the LIGO Scientific Collaboration uses to analyze data is the BayesWave algorithm. Due to the sensitivity of LIGO’s instruments, signals that appear in the data are more likely to be a glitch in the system than a gravitational event. BayesWave analyzes collected data to find signals and categorize them appropriately. Our role is to test whether the algorithm is working properly, which we do by generating data with fake signals and submitting them to see if the algorithm detects and sorts them correctly.
Start Date
2-28-2020 2:30 PM
P-33 LIGO BayesWave Signal Algorithm
One of the tools that the LIGO Scientific Collaboration uses to analyze data is the BayesWave algorithm. Due to the sensitivity of LIGO’s instruments, signals that appear in the data are more likely to be a glitch in the system than a gravitational event. BayesWave analyzes collected data to find signals and categorize them appropriately. Our role is to test whether the algorithm is working properly, which we do by generating data with fake signals and submitting them to see if the algorithm detects and sorts them correctly.
Acknowledgments
Mentor: Tiffany Summerscales, Physics