The SDSS Imaging Pipelines
Astrophysics
2007-05-23 v2
Abstract
We summarise the properties of the Sloan Digital Sky Survey (SDSS) project, discuss our software infrastructure, and outline the architecture of the SDSS image processing pipelines. We then discuss two of the algorithms used in the SDSS image processing; the KL-transform based modelling of the spatial variation of the PSF, and the use of galaxy models in star/galaxy separation. We conclude with the first author's personal opinions on the challenges that the astronomical community faces with major software projects.
Cite
@article{arxiv.astro-ph/0101420,
title = {The SDSS Imaging Pipelines},
author = {Robert Lupton and James E. Gunn and Zeljko Ivezic and Gillian R. Knapp and Stephen Kent and Naoki Yasuda},
journal= {arXiv preprint arXiv:astro-ph/0101420},
year = {2007}
}
Comments
10 pages, 4 figures. Submitted to ADASS X conference; uses adassconf.sty Added author; minor editorial changes