Coherent network analysis for triggered gravitational wave burst searches

TL;DR

This paper introduces the RIDGE pipeline for triggered gravitational wave burst searches, leveraging prior information and smaller data volumes to improve sensitivity over all-sky searches.

Contribution

The paper presents a new data analysis pipeline, RIDGE, optimized for triggered gravitational wave burst searches using prior information and computationally intensive methods.

Findings

Higher sensitivity in triggered searches due to reduced parameter space.

Preliminary results show promising detection capabilities with simulated data.

The pipeline effectively utilizes prior information for improved analysis.

Abstract

Searches for gravitational wave bursts that are triggered by the observation of astronomical events require a different mode of analysis than all-sky, blind searches. For one, much more prior information is usually available in a triggered search which can and should be used in the analysis. Second, since the data volume is usually small in a triggered search, it is also possible to use computationally more expensive algorithms for tasks such as data pre-processing that can consume significant computing resources in a high data-volume un-triggered search. From the statistical point of view, the reduction in the parameter space search volume leads to higher sensitivity than an un-triggered search. We describe here a data analysis pipeline for triggered searches, called {\tt RIDGE}, and present preliminary results for simulated noise and signals.