An automatic pipeline analysing solar-like oscillating targets tested on CoRoT and simulated data

TL;DR

This paper presents an automated pipeline, A2Z, designed to efficiently analyze solar-like oscillating stars from Kepler and CoRoT data, extracting key stellar parameters rapidly for large datasets.

Contribution

The novel A2Z pipeline automates the analysis of solar-like oscillating stars, enabling quick extraction of stellar parameters from large datasets like Kepler and CoRoT.

Findings

Successfully tested on simulated stellar data

Applied to real CoRoT data with promising results

Provides estimates of stellar radius and mass

Abstract

The launch of the Kepler mission on 7th March 2009 opened a new bright future for the search of extra-solar planets while a huge amount of stars will be observed leading to the opportunity to better understand stellar evolution. This will allow us to probe different regions in the HR diagram and put more constraints on the stellar models. Up to now the asteroseismic missions such as MOST and CoRoT were providing some solar-like stars at a very slow cadence. But to study the several hundreds of solar-like oscillating stars that will be observed during the Kepler survey phase, an analysis devoted to one star is impossible if we want to have as much information as we can in a small period of time. We describe here our pipeline, A2Z, which calculates the global parameters of the stars (rotation period, mean large spacing of the acoustic modes, maximum amplitude of the modes), fits the modes globally, and estimates the radius and mass of the stars. This pipeline has been tested on simulated stars and applied to real data from CoRoT.