FINDCHIRP: an algorithm for detection of gravitational waves from inspiraling compact binaries. Matched-filter searches for gravitational waves from coalescing compact binaries by the LIGO Scientific Collaboration use the FINDCHIRP algorithm: an implementation of the optimal filter with innovations to account for unknown signal parameters and to improve performance on detector data that has nonstationary and non-Gaussian artifacts. We provide details on the FINDCHIRP algorithm as used in the search for subsolar mass binaries, binary neutron stars, neutron star-black hole binaries, and binary black holes.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Wouter G. J. van Zeist, Héloïse F. Stevance, J. J. Eldridge: Riroriro: Simulating gravitational waves and evaluating their detectability in Python (2021) not zbMATH
- Karl Wette: SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries (2020) arXiv
- Holst, Michael; Sarbach, Olivier; Tiglio, Manuel; Vallisneri, Michele: The emergence of gravitational wave science: 100 years of development of mathematical theory, detectors, numerical algorithms, and data analysis tools (2016)
- Antil, Harbir; Field, Scott E.; Herrmann, Frank; Nochetto, Ricardo H.; Tiglio, Manuel: Two-step greedy algorithm for reduced order quadratures (2013)