An automated pipeline for asteroseismology based on the autocorrelation of stellar time series

TL;DR

This paper introduces an automated pipeline utilizing autocorrelation of stellar time series to measure large frequency separations in asteroseismology, enhancing analysis efficiency and accuracy.

Contribution

It presents a novel automated pipeline based on autocorrelation for asteroseismic data analysis, improving measurement consistency and processing speed.

Findings

Pipeline effectively measures large frequency separations

Performance comparable or superior to previous methods

Automates asteroseismic data analysis process

Abstract

The autocorrelation of an asteroseismic time series has been identified as a powerful tool capable of providing measurements of the large frequency separations. The performance of this method has been assessed and quantified by Mosser & Appourchaux (2009). We propose now an automated pipeline based on it and describe its performance.