Best network chirplet-chain: Near-optimal coherent detection of unmodeled gravitation wave chirps with a network of detectors
Archana Pai (AEI, Potsdam), Eric Chassande-Mottin (APC, Paris; OCA,, Nice), Olivier Rabaste (APC, Paris)

TL;DR
This paper extends the best chirplet chain (BCC) algorithm for detecting unmodeled gravitational wave chirps to a network of detectors, enabling joint source localization and improved detection of generic, quasi-periodic GW signals.
Contribution
It introduces a multi-detector extension of the BCC method, allowing coherent detection and source parameter estimation of unmodeled GW chirps across multiple detectors.
Findings
Joint analysis improves detection horizon.
Method enables source localization and polarization estimation.
Proof of concept demonstrated for full sky blind search.
Abstract
The searches of impulsive gravitational waves (GW) in the data of the ground-based interferometers focus essentially on two types of waveforms: short unmodeled bursts and chirps from inspiralling compact binaries. There is room for other types of searches based on different models. Our objective is to fill this gap. More specifically, we are interested in GW chirps with an arbitrary phase/frequency vs. time evolution. These unmodeled GW chirps may be considered as the generic signature of orbiting/spinning sources. We expect quasi-periodic nature of the waveform to be preserved independent of the physics which governs the source motion. Several methods have been introduced to address the detection of unmodeled chirps using the data of a single detector. Those include the best chirplet chain (BCC) algorithm introduced by the authors. In the next years, several detectors will be in…
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