Enhancing online estimation of CBC parameters with the low-latency MBTA analysis

TL;DR

This paper introduces an improved online method for estimating gravitational-wave source parameters from compact binary coalescences using the MBTA pipeline, enhancing speed and accuracy for real-time analysis.

Contribution

It presents a novel low-latency posterior estimation procedure within the MBTA pipeline, utilizing an SNR optimizer and dense template banks for rapid CBC parameter inference.

Findings

Demonstrates effective online parameter estimation on simulations.

Achieves comparable results to LVK O4a data analysis.

Improves real-time gravitational-wave data processing.

Abstract

In this paper, we describe the procedure implemented in the Multi-Band Template Analysis (MBTA) search pipeline to produce online posterior distributions of compact binary coalescence (CBC) gravitational-wave parameters. This procedure relies on an SNR optimizer technique, which consists of filtering dense local template banks. We present how these banks are constructed using information from the initial detection and detail how the results of the filtering are used to estimate source parameters and provide posterior distributions. We demonstrate the performance of our procedure on simulations and compare our source parameter estimates with the results from the first part of the fourth observing run (O4a) recently released by the LIGO-Virgo-KAGRA (LVK) collaboration.