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Data Analysis Plan

Data Analysis Plan. GBT IDL Workshop October 15, 2004. Meeting Outline. Morning activities Generate a list of discussion items Demonstrations Lunch Discussion forum Dinner Summary. Science Drivers. Interactive package for basic single-dish analysis

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Data Analysis Plan

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  1. Data Analysis Plan GBT IDL Workshop October 15, 2004

  2. Meeting Outline • Morning activities • Generate a list of discussion items • Demonstrations • Lunch • Discussion forum • Dinner • Summary

  3. Science Drivers • Interactive package for basic single-dish analysis • Available at NRAO and home institutions • Import/Export data formats • Well-documented data model (data structure and data flow) • Real-time data checks / post-processing • Handle our diverse observing modes, frequencies, backends, …. • Handle new instruments and analysis techniques • Pipelining, cameras, etc.

  4. Expected Customers • Black belts • Unique experiments • Explore every step in the analysis • Can develop new algorithms • Can share these algorithms • Novices • Use canned procedures developed by others • Pipelining

  5. Immediate Goals of the Data-Handling Project • Interactive package for BASIC analysis • Leverage observer’s past experiences • Allow observer’s to contribute to the development of enhancements • Sharing of contributions • Short time scale for a significant improvement • Limited goals for what NRAO contributes • Rely on other systems for other analysis needs

  6. Options • Resurrect UniPOPS (argh!) • Reinvest in AIPS++/DISH or AIPS • Go with a community standard • Invest in CLASS, IRAF, … • Invest in a commercial package • IDL • MATLAB • Mathematica

  7. Why IDL? – Resources/Familiarity • IDL brings… • Large user base • Extensive built-in libraries, algorithms, graphics • Rapid development environment • External users • Tom Bania – 3He package • Robishaw – Polarization • Kondratko – H2O Spectroscopy • Other observatories • FUSE, Spitzer, …. • IDL Astronomy User’s Library • Arecibo’s IDL routines • Internal resources • Langston – IDL Real-Time data display • O’Neil – IDL experience

  8. Why a UniPOPS philosophy? • Familiarity • Simple syntax • Interactive, efficient, …. • Emphasizes a ‘toolbox’ of single-purpose analysis steps • Exploratory analysis, new algorithms • Scripting for generating complex analysis from these simple commands • User extendable • Data export to move data to other systems for more complicated analysis • Online and Offline analysis

  9. Extent of the IDL Project • Won’t Include (initially): • Advanced imaging • Pulsar, Radar, …. • Adding VLA data to GBT data • Bolometer cameras • Pipelining • …. • Will include: Infrastructure • First priorities • Data Model • I/O, Data Base • Toolbox of commands available from two different user levels

  10. Available Resources & Timeline • Details from Nicole

  11. IDL – An integral part of the observatory’s plans • CLASS / AIPS • FITS for data import/export • ALMA • Resource sharing -- Significant common infrastructure • E2E • Data pipelining using AIPS++ technology • Learn from our IDL experiences and IDL Data models. • OBIT • Prototype analysis for the Penn Array • AIPS++/DISH • Based on appropriate data model from IDL experience, OBIT, and ALMA • Python instead of GLISH, CASA • Combining VLA data with GBT data • Advanced GBT imaging

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