Informed systematic method to identify variable mid and late-T dwarfs
Abstract
The majority of brown dwarfs show some level of photometric or spectro-photometric variability in different wavelength ranges. This variability allow us to trace the 3D atmospheric structures of variable brown dwarfs and directly-imaged exoplanets with radiative-transfer models and mapping codes. Nevertheless, to date, we do not have an informed method to pre-select the brown dwarfs that might show a higher variability amplitude for a thorough variability study. In this work, we designed and tested near-infrared spectral indices to pre-select the most likely variable mid- and late-T dwarfs, which overlap in effective temperatures with directly-imaged exoplanets. We used time-resolved near-infrared Hubble Space Telescope Wide Field Camera 3 spectra of a T6.5 dwarf, 2MASS J22282889--431026, to design our novel spectral indices. We tested these spectral indices on 26 T5.5--T7.5 near-infrared SpeX/IRTF spectra, and we provided eight new mid- and late-T variable candidates. We estimated the variability fraction of our sample in %, which agrees with the variability fractions provided by Metchev, et. al, (2015) for mid-to late-T dwarfs. In addition, two of the three previously known variables in our SpeX spectra sample are flagged as variable candidates by our indices. Similarly, all seven known non-variable in our sample are flagged as non-variable objects by our indices. These results suggest that our spectral indices might be used to find variable mid- and late-T brown dwarf variables. These indices may be crucial in the future to select cool directly-imaged exoplanets for variability studies.
Keywords
Cite
@article{arxiv.2210.01789,
title = {Informed systematic method to identify variable mid and late-T dwarfs},
author = {Natalia Oliveros-Gómez and Elena Manjavacas and Afra Ashraf and Daniella C. Bardalez Gagliuffi and Johanna Vos and Jacqueline K. Faherty and Theodora Karalidi and Daniel Apai},
journal= {arXiv preprint arXiv:2210.01789},
year = {2022}
}
Comments
Accepted for publication in AJ. 17 pages, 12 figures, 3 tables