Details
| Original language | English |
|---|---|
| Article number | 124008 |
| Journal | Physical Review D |
| Volume | 97 |
| Issue number | 12 |
| Early online date | 6 Jun 2018 |
| Publication status | Published - 15 Jun 2018 |
Abstract
Efficient multidimensional template placement is crucial in computationally intensive matched-filtering searches for gravitational waves (GWs). Here, we implement the neighboring cell algorithm (NCA) to improve the detection volume of an existing compact binary coalescence (CBC) template bank. This algorithm has already been successfully applied for a binary millisecond pulsar search in data from the Fermi satellite. It repositions templates from overdense regions to underdense regions and reduces the number of templates that would have been required by a stochastic method to achieve the same detection volume. Our method is readily generalizable to other CBC parameter spaces. Here we apply this method to the aligned-single-spin neutron star-black hole binary coalescence inspiral-merger-ringdown gravitational wave parameter space. We show that the template nudging algorithm can attain the equivalent effectualness of the stochastic method with 12% fewer templates.
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Physics and Astronomy (miscellaneous)
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In: Physical Review D, Vol. 97, No. 12, 124008, 15.06.2018.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Reducing the number of templates for aligned-spin compact binary coalescence gravitational wave searches using metric-agnostic template nudging
AU - Indik, Nathaniel
AU - Fehrmann, Henning
AU - Harke, Franz
AU - Krishnan, Badri
AU - Nielsen, Alex B.
N1 - Publisher Copyright: © 2018 American Physical Society.
PY - 2018/6/15
Y1 - 2018/6/15
N2 - Efficient multidimensional template placement is crucial in computationally intensive matched-filtering searches for gravitational waves (GWs). Here, we implement the neighboring cell algorithm (NCA) to improve the detection volume of an existing compact binary coalescence (CBC) template bank. This algorithm has already been successfully applied for a binary millisecond pulsar search in data from the Fermi satellite. It repositions templates from overdense regions to underdense regions and reduces the number of templates that would have been required by a stochastic method to achieve the same detection volume. Our method is readily generalizable to other CBC parameter spaces. Here we apply this method to the aligned-single-spin neutron star-black hole binary coalescence inspiral-merger-ringdown gravitational wave parameter space. We show that the template nudging algorithm can attain the equivalent effectualness of the stochastic method with 12% fewer templates.
AB - Efficient multidimensional template placement is crucial in computationally intensive matched-filtering searches for gravitational waves (GWs). Here, we implement the neighboring cell algorithm (NCA) to improve the detection volume of an existing compact binary coalescence (CBC) template bank. This algorithm has already been successfully applied for a binary millisecond pulsar search in data from the Fermi satellite. It repositions templates from overdense regions to underdense regions and reduces the number of templates that would have been required by a stochastic method to achieve the same detection volume. Our method is readily generalizable to other CBC parameter spaces. Here we apply this method to the aligned-single-spin neutron star-black hole binary coalescence inspiral-merger-ringdown gravitational wave parameter space. We show that the template nudging algorithm can attain the equivalent effectualness of the stochastic method with 12% fewer templates.
UR - http://www.scopus.com/inward/record.url?scp=85049515704&partnerID=8YFLogxK
U2 - 10.48550/arXiv.1712.07869
DO - 10.48550/arXiv.1712.07869
M3 - Article
AN - SCOPUS:85049515704
VL - 97
JO - Physical Review D
JF - Physical Review D
SN - 2470-0010
IS - 12
M1 - 124008
ER -