# A New Search Pipeline for Compact Binary Mergers: Results for Binary   Black Holes in the First Observing Run of Advanced LIGO

**Authors:** Tejaswi Venumadhav, Barak Zackay, Javier Roulet, Liang Dai, Matias, Zaldarriaga

arXiv: 1902.10341 · 2019-07-31

## TL;DR

This paper introduces a new independent analysis pipeline for LIGO data that successfully identified a previously undetected binary black hole merger, enhancing gravitational wave detection methods.

## Contribution

The paper presents a novel, independently implemented pipeline for analyzing LIGO data, improving detection robustness and identifying new gravitational wave events.

## Key findings

- Detection of a new binary black-hole merger GW151216
- Pipeline successfully analyzed first LIGO observing run data
- Enhanced methods for data quality and noise handling

## Abstract

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 non-stationary 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.

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/1902.10341/full.md

## References

19 references — full list in the complete paper: https://tomesphere.com/paper/1902.10341/full.md

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Source: https://tomesphere.com/paper/1902.10341