A Caltech Library Service

Application of a zero-latency whitening filter to compact binary coalescence gravitational-wave searches

Tsukada, Leo and Cannon, Kipp and Hanna, Chad and Keppel, Drew and Meacher, Duncan and Messick, Cody (2018) Application of a zero-latency whitening filter to compact binary coalescence gravitational-wave searches. Physical Review D, 97 (10). Art. No. 103009. ISSN 2470-0010. doi:10.1103/PhysRevD.97.103009.

[img] PDF - Published Version
See Usage Policy.

[img] PDF - Submitted Version
See Usage Policy.


Use this Persistent URL to link to this item:


Joint electromagnetic and gravitational-wave (GW) observation is a major goal of both the GW astronomy and electromagnetic astronomy communities for the coming decade. One way to accomplish this goal is to direct follow-up of GW candidates. Prompt electromagnetic emission may fade quickly, therefore it is desirable to have GW detection happen as quickly as possible. A leading source of latency in GW detection is the whitening of the data. We examine the performance of a zero-latency whitening filter in a detection pipeline for compact binary coalescence (CBC) GW signals. We find that the filter reproduces signal-to-noise ratio (SNR) sufficiently consistent with the results of the original high-latency and phase-preserving filter for both noise and artificial GW signals (called “injections”). Additionally, we demonstrate that these two whitening filters show excellent agreement in χ^2 value, a discriminator for GW signals.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Messick, Cody0000-0002-8230-3309
Additional Information:© 2018 American Physical Society. Received 22 August 2017; published 14 May 2018. The authors are grateful to the LIGO lab for an offer of the S5 strain data. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation. This research was supported by the National Science Foundation through PHY-1454389 and ACI-1642391. Funding for this project was provided by the Charles E. Kaufman Foundation of The Pittsburgh Foundation.
Funding AgencyGrant Number
Pittsburgh FoundationUNSPECIFIED
Issue or Number:10
Record Number:CaltechAUTHORS:20180514-114040545
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:86394
Deposited By: Tony Diaz
Deposited On:16 May 2018 14:14
Last Modified:15 Nov 2021 20:38

Repository Staff Only: item control page