Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences

Abstract

Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded detector network including KAGRA. Accordingly, it is vital to optimize the detection algorithm of low-latency search pipelines, increasing their sensitivities to gravitational waves from compact binary coalescences. In this work, we discuss several new features developed for ranking statistics of GstLAL-based inspiral pipeline, which mainly consist of: the signal contamination removal, the bank-${\xi }^2$ incorporation, the upgraded $\rho -{\xi }^2$ signal model and the integration of KAGRA. An injection study demonstrates that these new features improve the pipeline's sensitivity by approximately 15% to 20%, paving the way to further multi-messenger observations during the upcoming observing run.

13pages, 6figures

References in corpus (7)

• GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
• Advanced Virgo: a 2nd generation interferometric gravitational wave detector
• Multi-messenger Observations of a Binary Neutron Star Merger
• Advanced LIGO
• Estimating the Contribution of Dynamical Ejecta in the Kilonova Associated with GW170817
• The MBTA Pipeline for Detecting Compact Binary Coalescences in the Third LIGO-Virgo Observing Run
• On the Progenitor of Binary Neutron Star Merger GW170817

Cited by in corpus (23)

• Observation of Gravitational Waves from the Coalescence of a $2.5\text{-}4.5M_{\odot }$ Compact Object and a Neutron Star
• GW231123: a Binary Black Hole Merger with Total Mass 190-265 $M_{\odot }$
• GW250114: testing Hawking's area law and the Kerr nature of black holes
• GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run
• GW241011 and GW241110: Exploring Binary Formation and Fundamental Physics with Asymmetric, High-Spin Black Hole Coalescence
• Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run
• Template bank for compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA
• Detectability of lensed gravitational waves in matched-filtering searches
• The MBTA Pipeline for Detecting Compact Binary Coalescences in the Fourth LIGO-Virgo-KAGRA Observing Run
• The impact of selection biases on tests of general relativity with gravitational-wave inspirals
• Probe and Prejudice: Classification of compact objects and model comparison using EOS knowledge
• Template bank to search for exotic gravitational wave signals from astrophysical compact binaries
• What is the nature of GW230529? An exploration of the gravitational lensing hypothesis
• Wavelet-based tools to analyze, filter, and reconstruct transient gravitational-wave signals
• GW230814: investigation of a loud gravitational-wave signal observed with a single detector
• WINTER on S250206dm: A near-infrared search for an electromagnetic counterpart to a gravitational-wave event
• What to expect: kilonova light curve predictions via equation of state marginalization
• Beyond the Long Wavelength Approximation: Next-generation Gravitational-Wave Detectors and Frequency-dependent Antenna Patterns
• Scalable matched-filtering pipeline for gravitational-wave searches of compact binary mergers
• Enhancing online estimation of CBC parameters with the low-latency MBTA analysis
• Astrophysical or Terrestrial: Machine learning classification of gravitational-wave candidates using multiple-search information
• Extract non-Gaussian Features in Gravitational Wave Observation Data Using Self-Supervised Learning
• Enhancing gravitational-wave detection: a machine learning pipeline combination approach with robust uncertainty quantification