English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

First steps towards characterizing the hierarchical algorithm for curves and ridges pipeline

MPS-Authors

Heng,  Ik Siong
AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

Balasubramanian,  R.
AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

Sathyaprakash,  B. S.
AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

/persons/resource/persons20673

Schutz,  Bernard F.
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

119883.pdf
(Publisher version), 163KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Heng, I. S., Balasubramanian, R., Sathyaprakash, B. S., & Schutz, B. F. (2004). First steps towards characterizing the hierarchical algorithm for curves and ridges pipeline. Classical and Quantum Gravity, 21, S821-S826. doi:10.1088/0264-9381/21/5/065.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-5136-0
Abstract
The hierarchical algorithm for curves and ridges is a variation of the burst gravitational wave search algorithm known as TFClusters. In this paper, we examine the detection efficiency of the hierarchical algorithm for curves and ridges by injecting sine-Gaussian burst waveforms with four different central frequencies into data acquired by the GEO600 gravitational wave detector during the S1 run. The fluctuation of the output signal-to-noise ratios was observed to be ~5% for frequencies above 1.5 kHz and at least 15% for frequencies below 1.5 kHz. The uncertainty in the estimation of the arrival time is found to be less than 0.05 s.