Minimizing Star Spot Contamination of Exoplanet Transit Spectroscopy Using Alternate Normalization

TL;DR

This paper investigates the impact of unocculted star spots on exoplanet transit spectroscopy and proposes an alternative normalization method to reduce star spot contamination, enhancing molecular detection accuracy.

Contribution

It introduces an alternate normalization technique using an unspotted proxy spectrum to minimize star spot effects in transit spectroscopy.

Findings

Star spots significantly affect water vapor detection in transit spectra.

The proposed normalization method effectively reduces star spot contamination.

Molecular oxygen, CO2, and CH4 detections are less impacted by star spots.

Abstract

Recently, Currie et al. simulated the detection of molecules in the atmospheres of temperate rocky exoplanets transiting nearby M-dwarf stars. They simulated detections via spectral cross-correlation applied to high resolution optical and near-IR transit spectroscopy using the ELTs. Currie et al. did not consider the effect of unocculted star spots, but we do that here for possible detections of molecular oxygen, carbon dioxide, methane, and water vapor. We find that confusion noise from unocculted star spots becomes significant for large programs that stack tens to hundreds of transits to detect these molecules. Noise from star spots increases with greater spot filling factors, and star spot temperature has less effect than filling factor. Nevertheless, molecular oxygen, carbon dioxide, and methane could be detected in temperate rocky planets transiting nearby M-dwarfs without correcting for star spots. Water vapor detections are the most affected, with star spots contaminating the exoplanet signal as well as producing extra noise. Unocculted spots only affect transit spectroscopy when normalizing by dividing by the total flux from the star. We describe an alternate normalization method that minimizes star spot effects by deriving and implementing an unspotted proxy spectrum for the normalization. We show that the method works in principle using realistic levels of random observational noise. Alternate normalization would be broadly applicable to all types of transit spectroscopy, and we discuss challenges to applying it in practice. We also outline a comprehensive approach that has the potential to overcome those challenges.