Observational Results

Papers describing PyCBC Methods and Algorithms

  • PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals. Free preprint at arxiv:1807.10312
  • PyCBC Live: Rapid Detection of Gravitational Waves from Compact Binary Mergers. Phys. Rev. D 98, 024050 (2018). Free preprint at arxiv:1805.11174
  • Designing a template bank to observe compact binary coalescences in Advanced LIGO’s second observing run. Free prerint at arXiv:1705.01845
  • Distinguishing short duration noise transients in LIGO data to improve the PyCBC search for gravitational waves from high mass binary black hole mergers. Free prerint at arXiv:1709.08974
  • Detecting binary compact-object mergers with gravitational waves: Understanding and Improving the sensitivity of the PyCBC search. Open-access article at Ap. J. 849 118 (2017)
  • The PyCBC search for gravitational waves from compact binary coalescence. [Class. Quant. Grav. 33, 215004 (2016)] (http://iopscience.iop.org/article/10.1088/0264-9381/33/21/215004/meta;jsessionid=287B432D6C1C3583375F20A3C7EE6DD8.ip-10-40-1-105). Free preprint at arXiv:1508.02357
  • FINDCHIRP: An algorithm for detection of gravitational waves from inspiraling compact binaries. Open access article at Phys. Rev. D 85, 122006 (2012)
  • A chi-squared time-frequency discriminator for gravitational wave detection. Phys. Rev. D 71, 062001 (2005). Free preprint at gr-qc/0405045

Other astrophysics publications using PyCBC

In the News