Science Data Quality Assessment for the Large Synoptic Survey Telescope
Identifieur interne : 000074 ( PascalFrancis/Checkpoint ); précédent : 000073; suivant : 000075Science Data Quality Assessment for the Large Synoptic Survey Telescope
Auteurs : Richard A. Shaw [États-Unis] ; Deborah Levine [États-Unis] ; Timothy Axelrod [États-Unis] ; Russ R. Laher [États-Unis] ; Vince G. Mannings [États-Unis]Source :
- Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2010.
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Abstract
LSST will have a Science Data Quality Assessment (SDQA) subsystem for the assessment of the data products that will be produced during the course of a 10 yr survey. The LSST will produce unprecedented volumes of astronomical data as it surveys the accessible sky every few nights. The SDQA subsystem will enable comparisons of the science data with expectations from prior experience and models, and with established requirements for the survey. While analogous systems have been built for previous large astronomical surveys, SDQA for LSST must meet a unique combination of challenges. Chief among them will be the extraordinary data rate and volume, which restricts the bulk of the quality computations to the automated processing stages, as revisiting the pixels for a post-facto evaluation is prohibitively expensive. The identification of appropriate scientific metrics is driven by the breadth of the expected science, the scope of the time-domain survey, the need to tap the widest possible pool of scientific expertise, and the historical tendency of new quality metrics to be crafted and refined as experience grows. Prior experience suggests that contemplative, off-line quality analyses are essential to distilling new automated quality metrics, so the SDQA architecture must support integrability with a variety of custom and community-based tools, and be flexible to embrace evolving QA demands. Finally, the time-domain nature of LSST means every exposure may be useful for some scientific purpose, so the model of quality thresholds must be sufficiently rich to reflect the quality demands of diverse science aims.
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Shaw</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>National Optical Astronomy Observatory, 950 N. Cherry Avenue</s1><s2>Tucson, AZ 85719</s2><s3>USA</s3><sZ>1 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Arizona</region></placeName></affiliation></author><author><name sortKey="Levine, Deborah" sort="Levine, Deborah" uniqKey="Levine D" first="Deborah" last="Levine">Deborah Levine</name><affiliation wicri:level="2"><inist:fA14 i1="02"><s1>IPAC/California Institute of Technology, M/S 100-22</s1><s2>Pasadena, CA 91125</s2><s3>USA</s3><sZ>2 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Axelrod, Timothy" sort="Axelrod, Timothy" uniqKey="Axelrod T" first="Timothy" last="Axelrod">Timothy Axelrod</name><affiliation wicri:level="2"><inist:fA14 i1="03"><s1>LSST Corporation, 933 N. Cherry Avenue</s1><s2>Tucson, AZ 85721</s2><s3>USA</s3><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Arizona</region></placeName></affiliation></author><author><name sortKey="Laher, Russ R" sort="Laher, Russ R" uniqKey="Laher R" first="Russ R." last="Laher">Russ R. Laher</name><affiliation wicri:level="2"><inist:fA14 i1="02"><s1>IPAC/California Institute of Technology, M/S 100-22</s1><s2>Pasadena, CA 91125</s2><s3>USA</s3><sZ>2 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Mannings, Vince G" sort="Mannings, Vince G" uniqKey="Mannings V" first="Vince G." last="Mannings">Vince G. Mannings</name><affiliation wicri:level="2"><inist:fA14 i1="02"><s1>IPAC/California Institute of Technology, M/S 100-22</s1><s2>Pasadena, CA 91125</s2><s3>USA</s3><sZ>2 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Californie</region></placeName></affiliation></author></analytic><series><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title><title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title><idno type="ISSN">0277-786X</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title><title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title><idno type="ISSN">0277-786X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Astrophysics</term><term>Automatic processing</term><term>Data integrity</term><term>Indirect method</term><term>Integrability</term><term>Metric</term><term>Modeling</term><term>Night</term><term>Off line</term><term>Product data management PDM</term><term>Quality control</term><term>Sky</term><term>Telescope</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Intégrité donnée</term><term>Contrôle qualité</term><term>Système gestion donnée technique SGDT</term><term>Traitement automatique</term><term>Télescope</term><term>Astrophysique</term><term>Ciel</term><term>Nuit</term><term>Métrique</term><term>Modélisation</term><term>Méthode indirecte</term><term>Hors ligne</term><term>Intégrabilité</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">LSST will have a Science Data Quality Assessment (SDQA) subsystem for the assessment of the data products that will be produced during the course of a 10 yr survey. The LSST will produce unprecedented volumes of astronomical data as it surveys the accessible sky every few nights. The SDQA subsystem will enable comparisons of the science data with expectations from prior experience and models, and with established requirements for the survey. While analogous systems have been built for previous large astronomical surveys, SDQA for LSST must meet a unique combination of challenges. Chief among them will be the extraordinary data rate and volume, which restricts the bulk of the quality computations to the automated processing stages, as revisiting the pixels for a post-facto evaluation is prohibitively expensive. The identification of appropriate scientific metrics is driven by the breadth of the expected science, the scope of the time-domain survey, the need to tap the widest possible pool of scientific expertise, and the historical tendency of new quality metrics to be crafted and refined as experience grows. Prior experience suggests that contemplative, off-line quality analyses are essential to distilling new automated quality metrics, so the SDQA architecture must support integrability with a variety of custom and community-based tools, and be flexible to embrace evolving QA demands. Finally, the time-domain nature of LSST means every exposure may be useful for some scientific purpose, so the model of quality thresholds must be sufficiently rich to reflect the quality demands of diverse science aims.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0277-786X</s0></fA01><fA02 i1="01"><s0>PSISDG</s0></fA02><fA03 i2="1"><s0>Proc. SPIE Int. Soc. Opt. 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Chief among them will be the extraordinary data rate and volume, which restricts the bulk of the quality computations to the automated processing stages, as revisiting the pixels for a post-facto evaluation is prohibitively expensive. The identification of appropriate scientific metrics is driven by the breadth of the expected science, the scope of the time-domain survey, the need to tap the widest possible pool of scientific expertise, and the historical tendency of new quality metrics to be crafted and refined as experience grows. Prior experience suggests that contemplative, off-line quality analyses are essential to distilling new automated quality metrics, so the SDQA architecture must support integrability with a variety of custom and community-based tools, and be flexible to embrace evolving QA demands. 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Shaw</name></region><name sortKey="Axelrod, Timothy" sort="Axelrod, Timothy" uniqKey="Axelrod T" first="Timothy" last="Axelrod">Timothy Axelrod</name><name sortKey="Laher, Russ R" sort="Laher, Russ R" uniqKey="Laher R" first="Russ R." last="Laher">Russ R. Laher</name><name sortKey="Levine, Deborah" sort="Levine, Deborah" uniqKey="Levine D" first="Deborah" last="Levine">Deborah Levine</name><name sortKey="Mannings, Vince G" sort="Mannings, Vince G" uniqKey="Mannings V" first="Vince G." last="Mannings">Vince G. Mannings</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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