4.7 Article

New search pipeline for compact binary mergers: Results for binary black holes in the first observing run of Advanced LIGO

Journal

PHYSICAL REVIEW D
Volume 100, Issue 2, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.100.023011

Keywords

-

Funding

  1. U.S. National Science Foundation
  2. French Centre National de Recherche Scientifique (CNRS)
  3. Italian Istituto Nazionale della Fisica Nucleare (INFN)
  4. Dutch Nikhef
  5. Polish institute
  6. Hungarian institute
  7. Friends of the Institute for Advanced Study
  8. Peter Svennilson Membership fund
  9. Raymond and Beverly Sackler Foundation Fund
  10. NSF [AST-1409709, PHY-1521097, PHY-1820775]
  11. Canadian Institute for Advanced Research (CIFAR) program on Gravity and the Extreme Universe
  12. Simons Foundation Modern Inflationary Cosmology initiative

Ask authors/readers for more resources

In this paper, we report on the construction of a new and independent pipeline for analyzing the public data from the first observing run of Advanced LIGO for mergers of compact binary systems. The pipeline incorporates different techniques and makes independent implementation choices in all its stages including the search design, the method to construct template banks, the automatic routines to detect bad data segments (glitches) and to insulate good data from them, the procedure to account for the nonstationary nature of the detector noise, the signal-quality vetoes at the single-detector level and the methods to combine results from multiple detectors. Our pipeline enabled us to identify a new binary black hole merger GW151216 in the public LIGO data. This paper serves as a bird's eye view of the pipeline's important stages. Full details and derivations underlying the various stages will appear in accompanying papers.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available