Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 123016 |
| Fachzeitschrift | Physical Review D |
| Jahrgang | 97 |
| Ausgabenummer | 12 |
| Publikationsstatus | Veröffentlicht - 28 Juni 2018 |
Abstract
All-sky surveys for isolated continuous gravitational waves present a significant data-analysis challenge. Semicoherent search methods are commonly used to efficiently perform the computationally-intensive task of searching for these weak signals in the noisy data of gravitational-wave detectors such as LIGO and Virgo. We present a new implementation of a semicoherent search method, weave, that for the first time makes full use of a parameter-space metric to generate banks of search templates at the correct resolution, combined with optimal lattices to minimize the required number of templates and hence the computational cost of the search. We describe the implementation of weave and associated design choices and characterize its behavior using semianalytic models.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Physik und Astronomie (sonstige)
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in: Physical Review D, Jahrgang 97, Nr. 12, 123016, 28.06.2018.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Implementing a semicoherent search for continuous gravitational waves using optimally constructed template banks
AU - Wette, K.
AU - Walsh, S.
AU - Prix, R.
AU - Papa, M. A.
N1 - Funding Information: We thank Bruce Allen and Heinz-Bernd Eggenstein for valuable discussions. K.W. is supported by ARC Grant No. CE170100004. Numerical simulations were performed on the Atlas computer cluster of the Max Planck Institute for Gravitational Physics.
PY - 2018/6/28
Y1 - 2018/6/28
N2 - All-sky surveys for isolated continuous gravitational waves present a significant data-analysis challenge. Semicoherent search methods are commonly used to efficiently perform the computationally-intensive task of searching for these weak signals in the noisy data of gravitational-wave detectors such as LIGO and Virgo. We present a new implementation of a semicoherent search method, weave, that for the first time makes full use of a parameter-space metric to generate banks of search templates at the correct resolution, combined with optimal lattices to minimize the required number of templates and hence the computational cost of the search. We describe the implementation of weave and associated design choices and characterize its behavior using semianalytic models.
AB - All-sky surveys for isolated continuous gravitational waves present a significant data-analysis challenge. Semicoherent search methods are commonly used to efficiently perform the computationally-intensive task of searching for these weak signals in the noisy data of gravitational-wave detectors such as LIGO and Virgo. We present a new implementation of a semicoherent search method, weave, that for the first time makes full use of a parameter-space metric to generate banks of search templates at the correct resolution, combined with optimal lattices to minimize the required number of templates and hence the computational cost of the search. We describe the implementation of weave and associated design choices and characterize its behavior using semianalytic models.
UR - http://www.scopus.com/inward/record.url?scp=85049498660&partnerID=8YFLogxK
U2 - 10.48550/arXiv.1804.03392
DO - 10.48550/arXiv.1804.03392
M3 - Article
AN - SCOPUS:85049498660
VL - 97
JO - Physical Review D
JF - Physical Review D
SN - 2470-0010
IS - 12
M1 - 123016
ER -