{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-garching-bonn-deep-survey-gabods-wide","title":"The Garching-Bonn Deep Survey (GaBoDS) Wide-Field-Imaging Reduction Pipeline","arxiv_id":"0705.0438","date":"2007-05-03","proceeding":null,"authors":["H. Hildebrandt","T. Erben","M. Schirmer","J. P. Dietrich","P. Schneider"],"abstract":"We introduce our publicly available Wide-Field-Imaging reduction pipeline\nTHELI. The procedures applied for the efficient pre-reduction and astrometric\ncalibration are presented. A special emphasis is put on the methods applied to\nthe photometric calibration. As a test case the reduction of optical data from\nthe ESO Deep Public Survey including the WFI-GOODS data is described. The\nend-products of this project are now available via the ESO archive Advanced\nData Products section.","url_abs":"http://arxiv.org/abs/0705.0438v1","url_pdf":"http://arxiv.org/pdf/0705.0438v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"the-garching-bonn-deep-survey-gabods-wide","repo_url":"https://github.com/deapplegate/wtgpipeline","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}