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Characterizing the known and unveiling unknown roAp stars with TESS

Inês Martins Rolo
FCUP / IA

Abstract
Rapidly oscillating chemically peculiar A-type (roAp) stars offer valuable insights into the internal physical processes of all stars, but their study has been challenged by their rarity. The large-scale TESS and Gaia surveys have truly expanded our horizons, collecting data for a sizable dataset of these stars. However, asteroseismic data obtained with TESS has not been used to its full potential. In this work, we started by identifying a sample of ∼ 100 known roAp stars from NASA’s TESS mission. We then developed an algorithm targeting TESS unexplored data to search for new roAp stars and increase this sample. In a preliminary search we discovered four new roAp stars. These findings show a good performance of the roAp-search algorithm which we are now applying more widely. We also determined several seismic and non-seismic properties of these stars using TESS and Gaia data and searched for significant relations between them. We find evidence for the existence of two different populations in the data when closely inspecting the radial order of our sample of roAp stars.
Comparing the results with state-of-the-art theoretical stellar models, we conclude that one of these populations cannot be explained by the models. Our results will thus contribute to further development of stellar models, and ultimately improve our understanding of chemical transport.

2024 November 04, 13:30

IA/U.Porto
Centro de Astrofísica da Universidade do Porto (Classroom)
Rua das Estrelas, 4150-762 Porto

Faculdade de Ciências da Universidade de Lisboa Universidade do Porto Faculdade de Ciências e Tecnologia da Universidade de Coimbra
Fundação para a Ciência e a Tecnologia COMPETE 2020 PORTUGAL 2020 União Europeia