Science Data Quality Assessment for the Large Synoptic Survey Telescope
Identifieur interne :
000113 ( PascalFrancis/Curation );
précédent :
000112;
suivant :
000114
Science 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.
RBID : Pascal:11-0004522
Descripteurs français
- Pascal (Inist)
- Intégrité donnée,
Contrôle qualité,
Système gestion donnée technique SGDT,
Traitement automatique,
Télescope,
Astrophysique,
Ciel,
Nuit,
Métrique,
Modélisation,
Méthode indirecte,
Hors ligne,
Intégrabilité.
English descriptors
- KwdEn :
- Astrophysics,
Automatic processing,
Data integrity,
Indirect method,
Integrability,
Metric,
Modeling,
Night,
Off line,
Product data management PDM,
Quality control,
Sky,
Telescope.
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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| A08 | 01 | 1 | ENG | @1 Science Data Quality Assessment for the Large Synoptic Survey Telescope |
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| A09 | 01 | 1 | ENG | @1 Software and cyberinfrastructure for astronomy : 27-30 June 2010, San Diego, California, United States |
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| A11 | 01 | 1 | | @1 SHAW (Richard A.) |
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| A11 | 02 | 1 | | @1 LEVINE (Deborah) |
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| A11 | 03 | 1 | | @1 AXELROD (Timothy) |
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| A11 | 04 | 1 | | @1 LAHER (Russ R.) |
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| A11 | 05 | 1 | | @1 MANNINGS (Vince G.) |
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| A12 | 01 | 1 | | @1 RADZIWILL (Nicole M.) @9 ed. |
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| A12 | 02 | 1 | | @1 BRIDGER (Alan) @9 ed. |
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| A14 | 01 | | | @1 National Optical Astronomy Observatory, 950 N. Cherry Avenue @2 Tucson, AZ 85719 @3 USA @Z 1 aut. |
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| A14 | 02 | | | @1 IPAC/California Institute of Technology, M/S 100-22 @2 Pasadena, CA 91125 @3 USA @Z 2 aut. @Z 4 aut. @Z 5 aut. |
|---|
| A14 | 03 | | | @1 LSST Corporation, 933 N. Cherry Avenue @2 Tucson, AZ 85721 @3 USA @Z 3 aut. |
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| A18 | 01 | 1 | | @1 SPIE @3 USA @9 org-cong. |
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| A18 | 02 | 1 | | @1 American Astronomical Society @3 USA @9 org-cong. |
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| C01 | 01 | | ENG | @0 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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| C03 | 01 | 3 | ENG | @0 Data integrity @5 06 |
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| C03 | 02 | X | FRE | @0 Contrôle qualité @5 07 |
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| C03 | 02 | X | ENG | @0 Quality control @5 07 |
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| C03 | 02 | X | SPA | @0 Control de calidad @5 07 |
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| C03 | 03 | X | FRE | @0 Système gestion donnée technique SGDT @5 08 |
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| C03 | 03 | X | ENG | @0 Product data management PDM @5 08 |
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| C03 | 03 | X | SPA | @0 Sistema gestión dato técnico @5 08 |
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| C03 | 04 | X | FRE | @0 Traitement automatique @5 09 |
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| C03 | 04 | X | ENG | @0 Automatic processing @5 09 |
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| C03 | 04 | X | SPA | @0 Tratamiento automático @5 09 |
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| C03 | 05 | X | ENG | @0 Telescope @5 18 |
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| C03 | 06 | X | FRE | @0 Astrophysique @5 19 |
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| C03 | 06 | X | ENG | @0 Astrophysics @5 19 |
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| C03 | 06 | X | SPA | @0 Astrofísica @5 19 |
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| C03 | 07 | X | FRE | @0 Ciel @5 20 |
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| C03 | 07 | X | ENG | @0 Sky @5 20 |
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| C03 | 07 | X | SPA | @0 Cielo @5 20 |
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| C03 | 08 | X | FRE | @0 Nuit @5 21 |
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| C03 | 08 | X | ENG | @0 Night @5 21 |
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| C03 | 08 | X | SPA | @0 Noche @5 21 |
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| C03 | 09 | X | FRE | @0 Métrique @5 22 |
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| C03 | 09 | X | ENG | @0 Metric @5 22 |
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| C03 | 09 | X | SPA | @0 Métrico @5 22 |
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| C03 | 10 | X | FRE | @0 Modélisation @5 23 |
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| C03 | 10 | X | ENG | @0 Modeling @5 23 |
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| C03 | 10 | X | SPA | @0 Modelización @5 23 |
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| C03 | 11 | X | FRE | @0 Méthode indirecte @5 24 |
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| C03 | 11 | X | ENG | @0 Indirect method @5 24 |
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| C03 | 11 | X | SPA | @0 Método indirecto @5 24 |
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| C03 | 12 | X | FRE | @0 Hors ligne @5 25 |
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| C03 | 12 | X | ENG | @0 Off line @5 25 |
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| C03 | 12 | X | SPA | @0 Fuera linea @5 25 |
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| C03 | 13 | X | FRE | @0 Intégrabilité @5 26 |
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| C03 | 13 | X | ENG | @0 Integrability @5 26 |
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| C03 | 13 | X | SPA | @0 Integrabilidad @5 26 |
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| N21 | | | | @1 003 |
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| N44 | 01 | | | @1 OTO |
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| N82 | | | | @1 OTO |
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|
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| pR |
| A30 | 01 | 1 | ENG | @1 Software and cyberinfrastructure for astronomy @3 San Diego CA USA @4 2010 |
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Le document en format XML
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</seriesStmt><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>
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<term>Contrôle qualité</term>
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<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><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>
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</fA66><fC01 i1="01" l="ENG"><s0>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.</s0>
</fC01><fC02 i1="01" i2="X"><s0>001D02B07D</s0>
</fC02><fC03 i1="01" i2="3" l="FRE"><s0>Intégrité donnée</s0>
<s5>06</s5>
</fC03><fC03 i1="01" i2="3" l="ENG"><s0>Data integrity</s0>
<s5>06</s5>
</fC03><fC03 i1="02" i2="X" l="FRE"><s0>Contrôle qualité</s0>
<s5>07</s5>
</fC03><fC03 i1="02" i2="X" l="ENG"><s0>Quality control</s0>
<s5>07</s5>
</fC03><fC03 i1="02" i2="X" l="SPA"><s0>Control de calidad</s0>
<s5>07</s5>
</fC03><fC03 i1="03" i2="X" l="FRE"><s0>Système gestion donnée technique SGDT</s0>
<s5>08</s5>
</fC03><fC03 i1="03" i2="X" l="ENG"><s0>Product data management PDM</s0>
<s5>08</s5>
</fC03><fC03 i1="03" i2="X" l="SPA"><s0>Sistema gestión dato técnico</s0>
<s5>08</s5>
</fC03><fC03 i1="04" i2="X" l="FRE"><s0>Traitement automatique</s0>
<s5>09</s5>
</fC03><fC03 i1="04" i2="X" l="ENG"><s0>Automatic processing</s0>
<s5>09</s5>
</fC03><fC03 i1="04" i2="X" l="SPA"><s0>Tratamiento automático</s0>
<s5>09</s5>
</fC03><fC03 i1="05" i2="X" l="FRE"><s0>Télescope</s0>
<s5>18</s5>
</fC03><fC03 i1="05" i2="X" l="ENG"><s0>Telescope</s0>
<s5>18</s5>
</fC03><fC03 i1="05" i2="X" l="SPA"><s0>Telescopio</s0>
<s5>18</s5>
</fC03><fC03 i1="06" i2="X" l="FRE"><s0>Astrophysique</s0>
<s5>19</s5>
</fC03><fC03 i1="06" i2="X" l="ENG"><s0>Astrophysics</s0>
<s5>19</s5>
</fC03><fC03 i1="06" i2="X" l="SPA"><s0>Astrofísica</s0>
<s5>19</s5>
</fC03><fC03 i1="07" i2="X" l="FRE"><s0>Ciel</s0>
<s5>20</s5>
</fC03><fC03 i1="07" i2="X" l="ENG"><s0>Sky</s0>
<s5>20</s5>
</fC03><fC03 i1="07" i2="X" l="SPA"><s0>Cielo</s0>
<s5>20</s5>
</fC03><fC03 i1="08" i2="X" l="FRE"><s0>Nuit</s0>
<s5>21</s5>
</fC03><fC03 i1="08" i2="X" l="ENG"><s0>Night</s0>
<s5>21</s5>
</fC03><fC03 i1="08" i2="X" l="SPA"><s0>Noche</s0>
<s5>21</s5>
</fC03><fC03 i1="09" i2="X" l="FRE"><s0>Métrique</s0>
<s5>22</s5>
</fC03><fC03 i1="09" i2="X" l="ENG"><s0>Metric</s0>
<s5>22</s5>
</fC03><fC03 i1="09" i2="X" l="SPA"><s0>Métrico</s0>
<s5>22</s5>
</fC03><fC03 i1="10" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>23</s5>
</fC03><fC03 i1="10" i2="X" l="ENG"><s0>Modeling</s0>
<s5>23</s5>
</fC03><fC03 i1="10" i2="X" l="SPA"><s0>Modelización</s0>
<s5>23</s5>
</fC03><fC03 i1="11" i2="X" l="FRE"><s0>Méthode indirecte</s0>
<s5>24</s5>
</fC03><fC03 i1="11" i2="X" l="ENG"><s0>Indirect method</s0>
<s5>24</s5>
</fC03><fC03 i1="11" i2="X" l="SPA"><s0>Método indirecto</s0>
<s5>24</s5>
</fC03><fC03 i1="12" i2="X" l="FRE"><s0>Hors ligne</s0>
<s5>25</s5>
</fC03><fC03 i1="12" i2="X" l="ENG"><s0>Off line</s0>
<s5>25</s5>
</fC03><fC03 i1="12" i2="X" l="SPA"><s0>Fuera linea</s0>
<s5>25</s5>
</fC03><fC03 i1="13" i2="X" l="FRE"><s0>Intégrabilité</s0>
<s5>26</s5>
</fC03><fC03 i1="13" i2="X" l="ENG"><s0>Integrability</s0>
<s5>26</s5>
</fC03><fC03 i1="13" i2="X" l="SPA"><s0>Integrabilidad</s0>
<s5>26</s5>
</fC03><fN21><s1>003</s1>
</fN21><fN44 i1="01"><s1>OTO</s1>
</fN44><fN82><s1>OTO</s1>
</fN82><pR><fA30 i1="01" i2="1" l="ENG"><s1>Software and cyberinfrastructure for astronomy</s1>
<s3>San Diego CA USA</s3>
<s4>2010</s4>
</fA30>
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