Transit-APP: A Centroid-free Method of Identifying Background Transit False Positives
Abstract We present a centroid-free method to identify which star is the source of a known transit signal from pixel data. This method is based on observed and simulated difference images, and provides a relative probability of a star being the source of the transit compared to other known stars. This method is robust at low S/N compared to common centroid-based methods, and is well suited for space-based transit surveys such as Kepler and TESS.
Authors
- Michelle Kunimoto (ORCID: https://orcid.org/0000-0001-9269-8060)
- Steve Bryson (ORCID: https://orcid.org/0000-0003-0081-1797)
Institutions
- Ames Research Center (US)
- University of British Columbia (CA)
Publication Details
- Journal
- Research Notes of the AAS
- Published
- 2025-04-14
- DOI
- https://doi.org/10.3847/2515-5172/adcb3a
- Citations
- 1
- Primary Topic
- Bayesian Modeling and Causal Inference
- Type
- article
- Field-Weighted Citation Impact
- 2.48