Mitigating the effects of instrumental artifacts on source localizations

Document #:

LIGO-T2100202-v1

Document type:

T - Technical notes

Abstract:

Instrumental artifacts which materialize as glitches in strain data can overlap with gravitational wave detections and significantly impair the accuracy of sky localizations of compact binary coalescence(CBC) signals. We present our Python package, PySLIDE (Python-based Skymap Localization with Inpainted Data Editor), which takes gravitational wave (GW) signals, removes a segment of the data, and corrects for the removal. To make this correction, we employ a method that applies a reweighting formula to the signal-to-noise ratio (SNR) of the signal. From tests on ≈ 500 simulated GW signals, we determined that reweighting the SNR timeseries is able to improve the accuracy over simply removing the bad data. When we repeated this process for raw data with a simulated pitch, the reweighting formula likewise improves upon removing the data alone. In this report, we discuss the method we used to reweight the SNR, features of PySLIDE, and the results of our tests on simulated GW signals.

Files in Document:

• LIGO_SURF_Final_Report.pdf (file is not accessible)

Other Files:

• LIGO SURF Final Presentation.pdf (file is not accessible)
• LIGO_SURF_Project_Proposal.pdf (file is not accessible)
• LIGO_SURF_Second_Interim_Report (1).pdf (file is not accessible)
• Revised_LIGO_SURF_First_Interim_Report.pdf (file is not accessible)

Topics:

• Compact Binaries
• Detector Characterization

Authors:

• Maggie Huber
• Derek Davis

Keywords:

SURF21

Referenced by:

• LIGO-T2200101: Final reports from LIGO SURF program, Summer 2021