Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements
Harsh Narola, Thibeau Wouters, Luca Negri, Melissa Lopez, Tom Dooney, Francesco Cireddu, Milan Wils, Isaac C. F. Wong, Peter T. H. Pang, Justin Janquart, Anuradha Samajdar, Chris Van Den Broeck, Tjonnie G. F. Li

TL;DR
This paper introduces a null stream-based method for effectively mitigating glitches in gravitational wave data, leveraging the Einstein Telescope's configuration to improve accuracy and computational efficiency in source parameter estimation.
Contribution
The study presents the first application of null stream techniques for glitch mitigation in third-generation gravitational wave detectors, enhancing reconstruction accuracy and speed.
Findings
Null stream approach enables effective glitch subtraction near signal peaks.
Method achieves an order of magnitude faster computation.
Null stream use reduces biases in source parameter estimation.
Abstract
Gravitational Wave (GW) detectors routinely encounter transient noise bursts, known as glitches, which are caused by either instrumental or environmental factors. Due to their high occurrence rate, glitches can overlap with GW signals, as in the notable case of GW170817, the first detection of a binary neutron star merger. Accurate reconstruction and subtraction of these glitches is a challenging problem that must be addressed to ensure that scientific conclusions drawn from the data are reliable. This problem will intensify with third-generation observatories like the Einstein Telescope (ET) due to their higher detection rates of GWs and the longer duration of signals within the sensitivity band of the detectors. Robust glitch mitigation algorithms are, therefore, crucial for maximizing the scientific output of next-generation GW observatories. For the first time, we demonstrate how…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
