Probing periodic trends in the TESS light curves of the seventeen known Double White Dwarf systems
Sedighe Sajadian, Aref Asadi

TL;DR
This study analyzes TESS light curves of 17 known double white dwarf systems using SSA to identify periodic trends, revealing some signals likely due to orbital or noise effects, emphasizing TESS's role in detecting intrinsic stellar variations.
Contribution
It applies Singular Spectrum Analysis to TESS data of DWDs to detect and interpret periodic trends, highlighting the importance of this method for studying faint stellar components.
Findings
Periodic trends found in several DWD systems.
Some trends attributed to orbital or blending effects.
TESS data useful for detecting intrinsic stellar variations.
Abstract
There is a relatively large population of known double white dwarfs (DWDs) that were mostly discovered through spectroscopic observations and by measuring their radial velocity variations. Photometric observations from these systems give us additional information about their faint components by manifesting eclipsing or lensing signals or periodic trends such as ellipsoidal variations or Doppler boosting. To find these signals and trends we probe the public photometric data collected by the Transiting Exoplanet Survey Satellite (TESS) telescope from 17 known DWD systems. We use the Singular Spectrum Analysis (SSA) technique to de-noise their light curves. For DWD systems J17176757, J15572823, LP40022, J14491717, J21320754, and J21511614 we find regular and periodic trends in their TESS light curves. The periodic trend in light curve J14491717 is caused by the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Gamma-ray bursts and supernovae
