# SIGS - Seismic Inferences for Glitches in Stars

## TL;DR

This paper introduces SIGS, a user-friendly and automatic tool for analyzing acoustic glitches in seismic data of solar-like stars, addressing the lack of accessible tools and highlighting current limitations with small datasets.

## Contribution

The paper presents SIGS, a novel tool that simplifies and automates the analysis of acoustic glitches in stellar seismic data, applicable to the Sun and solar analogs.

## Key findings

- SIGS effectively analyzes seismic data from the Sun and similar stars.
- The tool reveals limitations when applied to smaller datasets.
- Current methods face challenges with limited data quality or quantity.

## Abstract

The increased amount of high precision seismic data for solar-like stars calls for the existence of tools that can extract information from such data. In the case of the study of acoustic glitches there are no publicly available tools and most existing ones require a deep knowledge of their implementation. In this work a tool is presented that aims to both simplify the interaction with the user and also be capable of working automatically to determine properties of acoustic glitches from seismic data of solar-like stars. This tool is shown to work with both the Sun and other solar analogs but also shows that are still severe limitations to the methods used, when considering smaller datasets.