End to End science with VO from major facilities PowerPoint PPT Presentation

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Title: End to End science with VO from major facilities


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End to End science with VO(from major facilities)
  • Gerry Gilmore

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my assumptions
  • The international virtual observatory is an
    outstanding idea it can make science more
    efficient and more effective, save money by
    removing duplication, and allow higher-quality
    calibrations to deliver better data. It needs,
    and deserves, long-term support.
  • It could also fail horribly, by allowing bad
    science. What are the risks and preventions?

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end to end
  • Data must be understood its origins, limits,
    strengths, errors, systematics, etc
  • Every experiment must be repeatable
  • A reader/referee must know what happened well
    enough to repeat it (in principle)
  • The data provider must be able to be credited,
    and to be blamed

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end to end
  • The process is in principle simple
  • DATA ? vo stuff ? user ? understanding
  • reliable science requires either that an
    astronomer understands the data
    acquisition/calibration/reduction processes
  • or, more typically
  • cites and uses the results from a well-checked
    public description of that process (eg, HST
    pipeline calibrations)

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An effect of VO?
  • No small research group will have the expertise
    to really understand the limitations of all the
    many datasets VO makes available
  • And many simple queries will try to take data
    outside their range of calibration
  • ? even major facilities can be mis-used

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The multi-wavelength challenge
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The multi-wavelength challenge
  • Surface brightness maps vs source lists
  • Upper limits, etc

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Matching multi-wavelength data sets is possible
only for a very expert large team until VObut
how reliably can it be done?
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Multi-wavelength matching can be very
interesting And is easy in simple
cases Example here The Orphan stream in the
Segue Field of Streams Belokurov etal
2006 Fellhauer etal 2006 Zucker etal 2006
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Multi-wavelength matching can be very
interesting And is easy in simple cases Example
here The Orphan stream in the Segue Field of
Streams Belokurov etal 2006 Fellhauer etal
2006 Zucker etal 2006
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(No Transcript)
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Reference frame GAIA- is opticalradio plan now?
Limits can be intrinsic or extrinsic different
astrophysics, different methods?
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Thermal IR and Sub-mm surveys new tools for huge
complex data sets and maps are already essential
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The effect of VO
  • VO will certainly democratise astronomy
  • Powerful tools can dominate ? powerpoint
  • VO needs to empower, not limit
  • VO will break the multi-wavelength access
    barrier, and allow more complexity
  • There are sure to be serious errors from this!
  • Poor or inappropriately calibrated data can be
    used unknowingly in a complex system.
  • This will be a huge challenge for referees.

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Archive or Albatross?
  • How much extant data is worth saving?
  • How do we decide what to accept?
  • Must balance resources old v new

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Some early lessons
  • Unique science exists in the archives
  • Retrieving it is hard work (now)
  • Lots of defective data are in the archives
  • Accessing bad data will destroy AVO
  • We need data standards as well as
    interoperability standards

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An effect of VO?
  • No small research group will have the expertise
    to really understand the limitations of all the
    many datasets VO makes available
  • Will large expert data centres (CDS, IPAC,)
    become even more necessary how are these to be
    funded, if their role is international helpline
    support?
  • Need they exist as entities? Linux model? Virtual
    institutes?

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IS VO a free lunch for most?
  • If so, it will fail.
  • VO must retain active participation by most
    potential user communities if it is to be used
    and developed. How?
  • Does this create a monster, and inhibit future
    individual creativity?
  • Most great ideas, as for VO, come from a few
    exceptional people (PIs) too rigid a structure
    prevents this in future
  • BUT software maintenance is expensive, and
    requires a different structure than does
    development

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The 3 Cs credit, careers, citations
  • Careers depend on credit, citations, name
    recognition
  • What credit is available to reward the
    provider/calibrator/corrector of high-quality
    data used through VO? Citation!
  • Citing what? calibration description
  • And similarly, de-merits, or health warnings for
    poor data

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the VO tomorrow
  • Generic justification for public funding
  • 1) VO is essential to allow effective public
    access to processed data ? longevity of research
    use
  • 2) it also removes the need for duplication
  • Stability implies significant continuing support
    and development ? VO career paths, VO management
    structures
  • And decision making challenges there is no
    single PI Institution/group who decides?

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end to end
  • All this implies that only high quality, well
    calibrated, data sets are appropriate for an
    ordinary non-specialist, user
  • if a dBase doesnt have a published description,
    and known quality, it should not be available to
    the unwary.
  • And it must never be utilised unknowingly
  • A typical Google search generates rubbish

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end to end science from major facilities does VO
have a role?
  • yes!
  • What VO needs to deliver science of the quality
    appropriate to major facilities is the standard
    of quality-control which the major facilities
    implement themselves
  • A default elite data set, with optional add-ons
    for the expert. NOT vice-versa.

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end to end
  • ? Extreme deduction 1
  • private publication of data is a high-risk
    potential disaster such data should never be
    accessed by the VO by default
  • ? Extreme deduction 2
  • The default request to VO should access ONLY data
    from the major facilities and observatories
  • (have a directory of approved datasets, in the
    same way that papers are refereed? I trust IVOA
    to do this reliably.)
  • Corollary 1 experts can switch in other info
    only by making extra efforts, passing barriers
  • Corollary 2 the SQL (or whatever) query should
    automatically be delivered to the scientist in a
    format for inclusion in the paper, along with
    relevant references to all accessed data sets

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end to end science from major facilities does VO
have a role?
  • yes!
  • and, in fact, arguably ONLY from major facilities
    by default
  • and someone needs to house the career VO
    infrastructure system
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