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Code for interactive visualization of multidimensional data in ROOT or native Python formats (Panda, numpy) Support for ROOT data structures:

  • THn - for multi-dimensional histograms
  • TTree and TTreeFormula, Aliases ..
  • TFormula, resp. any static Root/AliRoot functions

No python packages dependencies

  • ROOT
  • aliBuild, AliRoot
    • only one library libSTAT needed - to be written as standalone package ...

RootInteractive content:

  • Visualization part wrappers

    • client/server application (Jupyter, Bokeh, bqplot (in future))
    • client application - (Bokeh standalone)
  • Machine learning part (plans)

    • We would like to provide set of wrappers which will simplify/and user analysis using tabular data (trees,csv, pandas ...) error estimates, robust statistic, handling of extrapolation errors set of predefined (parametrizable layouts - e.g autonecoders). Similar approach was choosen recently by GOOGLE (announcement -09.04.2019) and Microsoft (announcement 02.05.2019)
  • Integration of the ML part with visualization tools

    • Similar approach as was chosen by Ilastic project

RootInteractive Information

Detailed description for ALICE user in JIRA

For ALICE CERN see detailed description in issue tracker in JIRA:


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