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Template bank for searches of compact binary coalesences with LIGO/VIRGO/KAGRA

ORAL

Abstract

Matched-filtering is optimized for signal detection and is implemented in many gravitational wave (GW) detection and data analysis pipelines, including GstLAL.

Matched-filtering relies on computing the correlations between precomputed waveform templates and data from GW detectors.

Templates are densely populated in the target parameter space to satisfy the minimal mismatch between two templates in the template bank such that pipelines can detect signals.

We generated a template bank for the GstLAL pipeline for LIGO/VIRGO/KAGRA's fourth observation period (O4), using a binary tree approach (MANIFOLD) that places templates according to the metric of the parameter space.

MANIFOLD is more computationally efficient than the template bank generation methods used for O1 ~ O3, guarantees similar template volumes for neighboring templates, and the effectiveness of the template bank is comparable to the previous template bank generation method.

The generated template bank consists of nearly 1.8 × 10^6 spin-(mis)aligned templates, covering neutron star binaries, neutron star - black hole systems, and black hole binaries.

Its component masses range from 1 to 200 M_sun, and span a dimensionless spin of ±0.05 for component masses 1 to 3 M_sun, and ±0.99 for component masses 3 to 200 M_sun.

Publication: Template bank for the compact binary mergers for GstLAL in the fourth observing<br>run of Advanced LIGO, Advanced VIRGO, and KAGRA

Presenters

  • Shio Sakon

    LIGO Scientific Collaboration

Authors

  • Shio Sakon

    LIGO Scientific Collaboration

  • Leo Tsukada

    Pennsylvania State University

  • Heather Fong

    University of Tokyo, RESCEU

  • Chad R Hanna

    Pennsylvania State University