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XLDB -Lyon Aug 2009 Astro-WISE -> TarGet OmegaCEN – TarGet Kapteyn Astronomical Institute University of Groningen 28 August 2009 UU Edwin A. Valentijn

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Astro -WISE -> TarGet. OmegaCEN – TarGet Kapteyn Astronomical Institute University of Groningen 28 August 2009 UU. Edwin A. Valentijn. Astro -WISE information system – fully datacentric. All data beyond pixel data is Metadata all pixel data data servers - PowerPoint PPT Presentation

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Page 1: Astro -WISE ->  TarGet

XLDB -Lyon Aug 2009

Astro-WISE -> TarGetAstro-WISE -> TarGet

OmegaCEN – TarGet Kapteyn Astronomical Institute

University of Groningen

28 August 2009

UU

OmegaCEN – TarGet Kapteyn Astronomical Institute

University of Groningen

28 August 2009

UU

Edwin A. ValentijnEdwin A. Valentijn

Page 2: Astro -WISE ->  TarGet
Page 3: Astro -WISE ->  TarGet

Astro-WISE information system – fully datacentricAstro-WISE information

system – fully datacentric

All data beyond pixel data is Metadata

all pixel data <–>data serversall Metadata <–> database

compute clusters / GRIDs all I/O to db

• all components scalable• all components EU distributed

All data beyond pixel data is Metadata

all pixel data <–>data serversall Metadata <–> database

compute clusters / GRIDs all I/O to db

• all components scalable• all components EU distributed

Page 4: Astro -WISE ->  TarGet

OmegaCEN review 2008

VST - Virtual Survey TelescopeVST - Virtual Survey Telescope

Page 5: Astro -WISE ->  TarGet

XLDB -Lyon Aug 2009

Centers – satellitesCenters – satellites

Brasil

Page 6: Astro -WISE ->  TarGet

Astro-WISE paradigmAstro-WISE paradigm

“Classical” paradigmForward chaining

Target processing - AweBackward chaining

waterfall model TIER architecture

User hunts upstream

driven by input raw data Driven by query of user

Process in pipelineworkflow

Process in bits and pieces on the flyBackward chaining

Operators push data User pulls data

Results in releases Provide information system

Static archives – publish Dynamic archives –publish Internet

Raw data - obsolete Raw data is sacred

Page 7: Astro -WISE ->  TarGet

TARGET diagram TARGET diagram

Page 8: Astro -WISE ->  TarGet

Central role dbCentral role db

• All I/O via db: params, sources, events• Objects persistent in db• data server access by global filename=key

• Security, proprietary, privileges• parallel processing• Web services• Synchronized real time National Nodes

• All I/O via db: params, sources, events• Objects persistent in db• data server access by global filename=key

• Security, proprietary, privileges• parallel processing• Web services• Synchronized real time National Nodes

XLDB -Lyon Aug 2009

Page 9: Astro -WISE ->  TarGet

the avalanchethe avalanche

• on-the fly re-processing for everything • 5LS: 5 Lines Script Awe> prompt Python• Trend analysis Awe > prompt• All dependent bits are traced “tell_me_everything_tool• Administration for parallel processing -compute GRID

• Connect to EGEE - Grid

• Global solutions • astrometry/photometry

• Build–in workflow• Fully user tunable – own provided script• Context: projects/surveys, instruments, mydb• Publish directly in EURO-VO

• on-the fly re-processing for everything • 5LS: 5 Lines Script Awe> prompt Python• Trend analysis Awe > prompt• All dependent bits are traced “tell_me_everything_tool• Administration for parallel processing -compute GRID

• Connect to EGEE - Grid

• Global solutions • astrometry/photometry

• Build–in workflow• Fully user tunable – own provided script• Context: projects/surveys, instruments, mydb• Publish directly in EURO-VO

Page 10: Astro -WISE ->  TarGet

Example 5LSExample 5LS

#Find ScienceFrames for a ccd named ccd53 and filter

Awe> q = (ReducedScienceFrame.chip.name == 'ccd53‘) and (ReducedScienceFrame.filter == ‘#841’)

# From the query result, get the rms of the sky in image Awe> x = [k.imstat.stdev for k in q]

# get the rms of the used Masterflat (dependency)Awe> y = [k.flat.imstat.stdev for k in q]

# Make a plot Awe> pylab.scatter(x,y)

#Find ScienceFrames for a ccd named ccd53 and filter

Awe> q = (ReducedScienceFrame.chip.name == 'ccd53‘) and (ReducedScienceFrame.filter == ‘#841’)

# From the query result, get the rms of the sky in image Awe> x = [k.imstat.stdev for k in q]

# get the rms of the used Masterflat (dependency)Awe> y = [k.flat.imstat.stdev for k in q]

# Make a plot Awe> pylab.scatter(x,y)

Page 11: Astro -WISE ->  TarGet

XLDB -Lyon Aug 2009

+ WFCAM, MegaCAM, LBC, ISAAC, LOFAR

Page 12: Astro -WISE ->  TarGet

XLDB -Lyon Aug 2009

www.astro-wise.org

Page 13: Astro -WISE ->  TarGet

OmegaCEN review 2008

Web servicesTarget processor

Web servicesTarget processor

Page 14: Astro -WISE ->  TarGet

Quality viewQuality view

XLDB -Lyon Aug 2009

Page 15: Astro -WISE ->  TarGet

XLDB -Lyon Aug 2009

Extreme data lineage Extreme data lineage

Page 17: Astro -WISE ->  TarGet

UKIDSS workshop 2007

Astro-WISE – LOFAR LTAAstro-WISE – LOFAR LTA

IBM- Blue Gene/P

5 Petabyte/yr

- EoR

- Survey

IBM- Blue Gene/P

5 Petabyte/yr

- EoR

- Survey

Page 18: Astro -WISE ->  TarGet

XLDB -Lyon Aug 2009

Page 19: Astro -WISE ->  TarGet

Inte

gra

tion

LifeLines 165.000 patients 30 yr

LifeLines 165.000 patients 30 yr

METABASE

MOLGENIS

Healtcare Transaction Base (HTB/HL7)

Molecular

Care

Physiology

XLDB -Lyon Aug 2009

Page 20: Astro -WISE ->  TarGet

IJkdijkIJkdijk

XLDB -Lyon Aug 2009