The SDSS imaging pipelines

Robert H. Lupton; Željko Ivezić; Jim Gunn; Jill Knapp; Michael Strauss; Naoki Yasuda

doi:10.1117/12.457307

The SDSS imaging pipelines

Robert H. Lupton, Željko Ivezić, Jim Gunn, Jill Knapp, Michael Strauss, Naoki Yasuda

Research output: Contribution to journal › Conference article › peer-review

105 Scopus citations

Abstract

The SDSS project has taken 5-band data covering approximately 3000 deg², or 4Tby of data. This has been processed through a set of image-processing pipelines, and the resulting catalogues of about 100 million objects have been used for a number of scientific projects. We discuss our software infrastructure, and outline the architecture of the SDSS image processing pipelines. In order to process this volume of data the pipelines have to be robust and reasonably fast; because we have been interested in looking for rare objects, the number of outliers due to deficiencies in the data and bugs in the software must be small. We have found that writing the codes has been one of the harder and more expensive aspects of the entire survey.

Original language	English (US)
Pages (from-to)	350-356
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4836
DOIs	https://doi.org/10.1117/12.457307
State	Published - 2002
Event	Survey and Other Telescope Technologies and Discoveries - Waikoloa, HI, United States Duration: Aug 27 2002 → Aug 28 2002

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Applied Mathematics
Electrical and Electronic Engineering
Computer Science Applications

Keywords

Optical Surveys
Photometry
Software

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10.1117/12.457307

Cite this

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title = "The SDSS imaging pipelines",

abstract = "The SDSS project has taken 5-band data covering approximately 3000 deg2, or 4Tby of data. This has been processed through a set of image-processing pipelines, and the resulting catalogues of about 100 million objects have been used for a number of scientific projects. We discuss our software infrastructure, and outline the architecture of the SDSS image processing pipelines. In order to process this volume of data the pipelines have to be robust and reasonably fast; because we have been interested in looking for rare objects, the number of outliers due to deficiencies in the data and bugs in the software must be small. We have found that writing the codes has been one of the harder and more expensive aspects of the entire survey.",

keywords = "Optical Surveys, Photometry, Software",

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year = "2002",

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pages = "350--356",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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TY - JOUR

T1 - The SDSS imaging pipelines

AU - Lupton, Robert H.

AU - Ivezić, Željko

AU - Gunn, Jim

AU - Knapp, Jill

AU - Strauss, Michael

AU - Yasuda, Naoki

PY - 2002

Y1 - 2002

N2 - The SDSS project has taken 5-band data covering approximately 3000 deg2, or 4Tby of data. This has been processed through a set of image-processing pipelines, and the resulting catalogues of about 100 million objects have been used for a number of scientific projects. We discuss our software infrastructure, and outline the architecture of the SDSS image processing pipelines. In order to process this volume of data the pipelines have to be robust and reasonably fast; because we have been interested in looking for rare objects, the number of outliers due to deficiencies in the data and bugs in the software must be small. We have found that writing the codes has been one of the harder and more expensive aspects of the entire survey.

AB - The SDSS project has taken 5-band data covering approximately 3000 deg2, or 4Tby of data. This has been processed through a set of image-processing pipelines, and the resulting catalogues of about 100 million objects have been used for a number of scientific projects. We discuss our software infrastructure, and outline the architecture of the SDSS image processing pipelines. In order to process this volume of data the pipelines have to be robust and reasonably fast; because we have been interested in looking for rare objects, the number of outliers due to deficiencies in the data and bugs in the software must be small. We have found that writing the codes has been one of the harder and more expensive aspects of the entire survey.

KW - Optical Surveys

KW - Photometry

KW - Software

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U2 - 10.1117/12.457307

DO - 10.1117/12.457307

M3 - Conference article

AN - SCOPUS:0038643525

SN - 0277-786X

VL - 4836

SP - 350

EP - 356

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Survey and Other Telescope Technologies and Discoveries

Y2 - 27 August 2002 through 28 August 2002

ER -

The SDSS imaging pipelines

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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