Automated differential photometry of TAOS data: preliminary analysis

TL;DR

This paper presents a preliminary analysis of TAOS robotic telescope data, focusing on identifying trends in stellar light curves and proposing methods for trend removal to facilitate automated detection of stellar variability.

Contribution

It introduces two new methods for removing common trends in TAOS light curves and discusses initial results towards automated variability detection.

Findings

Identified common trends in TAOS light curves

Proposed two trend removal techniques

Progress towards automated variability detection

Abstract

A preliminary data analysis of the stellar light curves obtained by the robotic telescopes of the TAOS project is presented. We selected a data run relative to one of the stellar fields observed by three of the four TAOS telescopes, and we investigate the common trend and the correlation between the light curves. We propose two ways to remove these trends and show the preliminary results. A project aimed at flagging interesting behaviors, such as stellar variability, and to set up an automated follow-up with the San Pedro M\'artir Facilities is on the way.