Coherent search of continuous gravitational wave signals: extension of the 5-vectors method to a network of detectors

TL;DR

This paper extends a 5-vector based coherent search method for continuous gravitational waves to multiple datasets and detectors, enhancing detection capabilities and false candidate rejection.

Contribution

It introduces a method to coherently combine data from multiple detectors and datasets using the 5-vectors approach, improving sensitivity and robustness.

Findings

Enhanced detection sensitivity through multi-detector combination.

Effective rejection of false candidates using coherence properties.

Validated method with simulated signals in Gaussian noise.

Abstract

We describe the extension to multiple datasets of a coherent method for the search of continuous gravitational wave signals, based on the computation of 5-vectors. In particular, we show how to coherently combine different datasets belonging to the same detector or to different detectors. In the latter case the coherent combination is the way to have the maximum increase in signal-to-noise ratio. If the datasets belong to the same detector the advantage comes mainly from the properties of a quantity called {\it coherence} which is helpful (in both cases, in fact) in rejecting false candidates. The method has been tested searching for simulated signals injected in Gaussian noise and the results of the simulations are discussed.