Java Analysis Studio - Status

CHEP 98 - September 1998

Tony Johnson - SLAC

Jonas Gifford + Kevin Garwood - University of Victoria

Contents

• What is Java Analysis Studio

• Java Analysis Studio Features

• Implementation + Java Pro’s and Con’s

• Beta Release Information

• Demo

• Future

• Opportunities for Collaboration

• Conclusion

What is Java Analysis Studio?

• HEP Data Analysis Application

• Easy to use + powerful GUI

• Support Analysis Modules written in Java

• Experiment and Data Format Independent

• Supports n-tuple or Structured (object) Data

• Data Location Independent (Local or Remote)

• Extensible (via Plug-ins and Data Interface Modules (DIMS))

• Web + Internet compatible

• Combination of custom and Commercial components (but no runtime license fees)

• Based on Industry Standards

Java Analysis Studio Features

• Rich, easy to use GUI

Java Analysis Studio Features

• Data Format Independent
  • Currently Support
    • PAW n-tuples, Hippo n-tuples, any SQL database, flat-file n-tuples, StdHep MC events
    • Any data format via user supplied Data Interface Module (DIM)
  • Experimenting with
    • Object databases (Objectstore, Objectivity)
    • Random access Java based IO (similar to root IO]
  • Future
    • XML, Root, CDF/HDF

Java Analysis Studio Features

• Supports both n-tuples and Structured Data
  • n-tuples are fast and allow for simplifications in GUI
    • Simple Interactive cuts
    • Simple plot generation
      but n-tuples ultimately limiting
  • Arbitrarily Structured Data provides ultimate flexibility
    • Requires slightly more work from end-user
    • Complete Object Oriented Analysis Environment
    • Flexible enough to write (or prototype) reconstruction code

Java Analysis Studio Features

• Histogram/ScatterPlot Display
  • Commercial plot package used in earlier versions replaced with custom plot package
    • Supports strings, dates, multiple axes, direct user interaction, overlays, fitting, scatter plots

Java Analysis Studio Features

• User analysis modules written in Java
  • Java Excellent Language for Physics Analysis
    • Easy to learn yet very powerful, fully OO language
    • Fast (and getting faster]
    • Very fast code, load, test, fix cycle
  • JAS provides built-in editor, compiler, plus:
    • hep.analysis package
      • for creating/filling/manipulating histograms
    • hep.physics package
      • simple particle, track manipulation package

PPT Slide

hep.analysis package

• Histogram delegates binning to:
  • “partition classes” [idea stolen from LHC++ at last CHEP]
    • Map from X, Y to bin number
      • supports real, integer, string, date’s etc.
    • Calculation of contents, errors in bin
      • allows efficiency plots, mean/rms plots etc
    • Data storage method
      • immediate binning (c.f. Hbook)
      • delayed binning, allows rebinning, axis changes via GUI
    • Many standard partitions provided.
    • User can provide own partition functions

Java Analysis Studio Features

• User Extensible, via
  • Analysis Modules
  • Data Interface Modules
    • Access to experiment specific data, native language modules
  • Plug In’s (c.f. Web Applets]
    • Event Displays, etc.
  • Fitter, Functions, Partitions

Java Analysis Studio Features

• Analyze local or remote data

• User interface independent of Data Location
• Does not assume fast network (works well at 28.8 bps]
• Analysis code moves (transparently) to data

Local Data

JAS Implementation

• “100% Java” Application
  • Uses Sun’s Java Foundation Classes (Swing) for GUI
  • [optional] interfaces to legacy data (PAW, hippo, StdHep) uses Java Native Interface [JNI]

• Leverage Commercial Components
  • Java itself
    • compiler, GUI, debugger, networking, Remote Method Invocation
  • Help system from Oracle
  • Plot component (not currently used]
  • Object databases, SQL databases
  • No runtime license fees

Java Pro’s and Con’s

• Pro’s
  • Very Productive
    • No memory leaks
    • No subtle c++ problems
    • fun to write
  • Cross Platform Easy
    • Develop under NT,
      • It just works elsewhere!
    • Getting faster all the time:
      • Swing 1.1
      • Faster Java Virtual Machines
      • Hot-Spot

• Great tools available
  • IDE’s
  • code optimizers
  • object modeling tools

• Con’s
  • Sun slow to fix bugs
    • printing
    • image handling
  • No control over memory allocation

Java Pro’s and Con’s

• Is Java Fast Enough for HEP reconstruction??

1.0 Beta Release now available

• Windows (NT, 95, 98] self extracting executable

• Unix (Solaris+Linux) binary distribution available

• Should be easy to port to other Unix, Mac etc.

• Limitations
  • Detailed documentation still under development
  • May still be some changes to user API

• Download from:
  • http://www-sldnt.slac.stanford.edu/jas

Demo

Future

• More Data Interface Modules

• More types of plots (lego plots etc.)

• Built in debugger, code profiler

• More n-tuple handling tools (c.f. HippoDraw]

Collaboration

• Integrate Wired event display as “Plug In”

• Working with FLCD, Babar

• Looking for collaborators on
  • hep.analysis
  • hep.physics packages (c.f. CLHEP)

• Looking for other experiments interested in trying Java Analysis Studio out

Conclusions

• Please try it:
  • http://www-sldnt.slac.stanford.edu/jas

• Please give us feedback
  • jas-feedback@sld-mail.slac.stanford.edu

• Mailing List:
  • http://www.slac.stanford.edu/cgi-bin/lwgate/JAS-L/

• Also general mailing list for Java in HEP:
  • http://www.slac.stanford.edu/cgi-bin/lwgate/HEP-JAVA/