NVO Summer School, Aspen 9-Sep-20051 TimeServer Andrew Drake Robyn Allsman David Gasson Mark Huber...
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Transcript of NVO Summer School, Aspen 9-Sep-20051 TimeServer Andrew Drake Robyn Allsman David Gasson Mark Huber...
NVO Summer School, Aspen 9-Sep-2005 1
TimeServerAndrew DrakeRobyn AllsmanDavid GassonMark HuberKathy Vivas
US NATIONAL VIRTUAL OBSERVATORY
NVO Summer School, Aspen 9-Sep-2005 2
The Working Astronomer’s Motivation for a TD Object Tool
• Optical Projects– MACHO, EROS, OGLE, MOA, EROS– SuperMacho, ESSENCE– LONEOS, ROTSE– FSVS, QUEST1, PQ, MEGACAM– PANSTARRS, LSST
– Specific Source – • variable stars cluster studies• radial velocity planet searches• Pulsar studies• HST, Chandra, EUVE...
NVO Summer School, Aspen 9-Sep-2005
The Working Astronomer’s Motivation for a TD Object Tool
•Science Goals– Microlensing– Planet Searches– Quasar Variability– Variable Star Zoo
NVO Summer School, Aspen 9-Sep-2005 4
Time Server
• The goal– Provide VO-enabled access to time-domain data
• Why?In anticipation of the upcoming TD surveys– Provide uniform access to precursor TD datasets– Foster tool development oriented on TD datasets
• How? – Develop
• A registry of time-domain datasets• A generic interface for TD data extraction • A client enabling:
– Registry lookup of TD datasets meeting specified criterion– Retrieval of TD datasets meeting those criterion– Display/Save/Analysis of those TD dataset
NVO Summer School, Aspen 9-Sep-2005 5
T.D. RegistryService
T.D. ObjectExtractorService
TD ObjectDataScope ADQL Fronted
TD DatabaseServers
The Future
NVO Summer School, Aspen 9-Sep-2005 6
T.D. RegistryService
T.D. ObjectExtractorService
Quest RR LyraeTD Extractor
Service
MACHO TD Extractor
Service
FetchEm
Favorite DBTD Extractor
Current Reality
NVO Summer School, Aspen 9-Sep-2005 7
Reality of Current Database Configurations
• Fully ADQL enabled– Quest RR Lyrae dataset
• Partially ADQL enabled– Macho
• ADQL enabled for variable star cone search• REST/http for lightcurve retrieval
• http/GET enabled– NSVS/ROTSE– OGLE– AAVSO– Quest1
NVO Summer School, Aspen 9-Sep-2005 8
Fully ADQL-enabled TD Extractor
• One stop shopping. Generally a TD dataset contains at least two tables:
• Overarching info on each star (ra/dec/starId/…)• Measurements for each Observation in T.D. series
– A single query should suffice to extract the T.D data **
Select o.* from Gentable g, Obstable oWhere point(g.ra, g.dec) within region(<ra>,<dec>,<radius>) and o.starId = g.starId and <starttime> < o.time < <endtime>
** Maybe … don’t know if ADQL syntax supports this.
NVO Summer School, Aspen 9-Sep-2005 9
Partially ADQL-enabled TD Extractor for MACHO TD dataset
• MACHO TD Server – integrates VO/non-VO enabled servers – to retrieve TD lightcurves based on constraints
• The Macho Variable Star catalog is now ADQL-enabled via ‘SkyNodeSoap’ service Cone search on ra/dec + constraints provides lookup
key for TD series retrieval
• Lightcurve retrieval is http/GET accessible– Responses must be
• scrubbed to extract relevant data • reformatted into VOTable for return
NVO Summer School, Aspen 9-Sep-2005 10
Near Term Direction
• Use the SSAP time domain definition for VO object construction
• Contact other TD providers to gauge their interest in VO-enabling their data– Wrap other TD http/GET datasets as desired
• Build the generic TD Object server• Build a simple client for TD Object
retrieval– Morph that into a TD Datascope
NVO Summer School, Aspen 9-Sep-2005 11