Data Analysis for Continuous Gravitational-Wave Signals

TL;DR

This paper discusses analytic and numerical tools for analyzing long-duration data and large parameter spaces in continuous gravitational-wave signal detection, including false alarm calculation, probabilistic methods, signal splitting, and parameter estimation.

Contribution

It introduces new methods and algorithms to improve data analysis efficiency and accuracy for continuous gravitational-wave signals.

Findings

Effective false alarm probability calculations

Use of probabilistic algorithms for signal detection

Enhanced parameter estimation techniques

Abstract

The main problem that we will face in the data analysis for continuous gravitational-wave sources is processing of a very long time series and a very large parameter space. We present a number of analytic and numerical tools that can be useful in such a data analysis. These consist of methods to calculate false alarm probabilities, use of probabilistic algorithms, application of signal splitting, and accurate estimation of parameters by means of optimization algorithms.