arXiv · 2312.09294
WRAP: A Tool for Efficient Cross-Identification of Proper Motion Objects Spanning Multiple Surveys
Abstract
We introduce the Wide-field Retrieval of Astrodata Program (WRAP), a tool created to aid astronomers in gathering photometric and astrometric data for point sources that may confuse simple cross-matching algorithms because of their faintness or motion. WRAP allows astronomers to correctly cross-identify objects with proper motion across multiple surveys by wedding the catalog data with its underlying images, thus providing visual confirmation of cross-associations in real time. Developed within the Backyard Worlds: Planet 9 citizen science project, WRAP aims to aid in the characterization of faint, high motion sources by this collaboration (and others).
Explore related subjects
Keep this discovery
Hunter Brooks, J. Davy Kirkpatrick, Dan Caselden, Adam C. Schneider, Aaron M. Meisner, Yadukrishna Raghu, Farid Cedeno, Jacqueline K. Faherty, Federico Marocco, Marc J. Kuchner, S. L. Casewell, The Backyard Worlds, :, Planet 9 Collaboration. 2023-12-14. WRAP: A Tool for Efficient Cross-Identification of Proper Motion Objects Spanning Multiple Surveys. https://doi.org/10.5281/zenodo.10359982
Cite the original work for its findings. Save a collection to share your selection of sources.