The Impact of Physically Motivated Calibration Errors on Search Pipeline Detection Parameters for Broadband Burst Signals
Faculty Mentor Name
Michele Zanolin
Format Preference
Poster
Abstract
This project focuses on improving the detection and reconstruction of gravitational waves generated by core collapse supernovae (CCSNe), which present as time-dependent strain that can be detected by the interferometer. To extract and maintain the integrity of these gravitational wave (GW) signals, the response of the interferometer must be taken into account through calibration. In the calibration process, the output of the interferometer is modeled, measured, and applied to the physical response of the detector to convert the measured light intensity from the interferometer to gravitational wave strain. Thus, the accuracy and precision of the reconstructed gravitational wave signal is dependent on the accuracy of the detector’s response model. Data analysis groups have used signal processing techniques to account for calibration errors in the past; however, these methods are only suitable for narrow band GWs. However, for broadband GWs signals emitted from core collapse supernovae, a different approach is required as the evolution and magnitude of the calibration errors as a function of frequency become significant. This project aims to continue the development of the software required to conduct the analysis as well as propose the method to the collaboration for widespread adoption. A plugin (code) was developed that is able to accept the detector dependent frequency calibration errors, allowing for an accurate estimation of the impact on cWB detection parameters unique to each waveform from the list of supernova gravitational waveform candidates. These improvements will allow for the extraction of more accurate information from these signals.
The Impact of Physically Motivated Calibration Errors on Search Pipeline Detection Parameters for Broadband Burst Signals
This project focuses on improving the detection and reconstruction of gravitational waves generated by core collapse supernovae (CCSNe), which present as time-dependent strain that can be detected by the interferometer. To extract and maintain the integrity of these gravitational wave (GW) signals, the response of the interferometer must be taken into account through calibration. In the calibration process, the output of the interferometer is modeled, measured, and applied to the physical response of the detector to convert the measured light intensity from the interferometer to gravitational wave strain. Thus, the accuracy and precision of the reconstructed gravitational wave signal is dependent on the accuracy of the detector’s response model. Data analysis groups have used signal processing techniques to account for calibration errors in the past; however, these methods are only suitable for narrow band GWs. However, for broadband GWs signals emitted from core collapse supernovae, a different approach is required as the evolution and magnitude of the calibration errors as a function of frequency become significant. This project aims to continue the development of the software required to conduct the analysis as well as propose the method to the collaboration for widespread adoption. A plugin (code) was developed that is able to accept the detector dependent frequency calibration errors, allowing for an accurate estimation of the impact on cWB detection parameters unique to each waveform from the list of supernova gravitational waveform candidates. These improvements will allow for the extraction of more accurate information from these signals.