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[ascl:2103.014] QuickCBC: Rapid and reliable inference for binary mergers

QuickCBC is a robust end-to-end low-latency Bayesian parameter estimation algorithm for binary mergers. It reads in calibrated strain data, performs robust on-source spectral estimation, executes a rapid search for compact binary coalescence (CBC) signals, uses wavelet de-noising to subtract any glitches from the search residuals, produces low-latency sky maps and initial parameter estimates, followed by full Bayesian parameter estimation.

Code site:
https://github.com/eXtremeGravityInstitute/QuickCBC
Used in:
https://ui.adsabs.harvard.edu/abs/2021PhRvD.103d4013C
Described in:
https://ui.adsabs.harvard.edu/abs/2021arXiv210101188C
Bibcode:
2021ascl.soft03014C

Views: 2257

ascl:2103.014
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