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Project description
RootInteractive
Code for interactive visualization of multidimensional data in ROOT or native Python formats (Panda, numpy) Support for ROOT data structures:
- TTree and TTreeFormula, Aliases ..
- TFormula, resp. any static Root/AliRoot functions
- RDataFrame <-> awkward - work i progress
No python packages dependencies on AliRoot
- ROOT + libStat
RootInteractive content:
-
Visualization part wrappers
- Interective easily configurable visualization of un-binned and binned data
- Interactive histogramming
- client/server application Jupyter, Bokeh
- client application - (Bokeh standalone)
-
Interactive histogramming and data aggregation in many dimensions on client
-
**Machine learning part ** work in progrees (mostly ErrPar branch)
- Wrappers for decision trees and Neural Net
- Provides interface for the reducible, irreducible errors, proability density function
- Local linear forest, resp. local kernel regression
RootInteractive Information
- RootInteractive github (source code)
- https://github.com/miranov25/RootInteractive
- JIRA: https://alice.its.cern.ch/jira/browse/PWGPP-485 ** Data server at CERN
- https://rootinteractive.web.cern.ch/RootInteractive/data/
- data on eos:
- /eos/user/r/rootinteractive/www/testData/
- /eos/user/r/rootinteractive/www/data/
- Documentation server at CERN
- https://rootinteractive.web.cern.ch/RootInteractive/html/
- Not yet regularly updated - TODO
- /eos/user/r/rootinteractive/www/html/
Tutorials
- 1.) Bokeh draw standalone (graphs,compression, down-sampling)
- 2.) N dimensional histogramming on client (data aggregation)
- 3.) Custom function on client:
Galery material in the ALICE agenda and document server
-
Support material for RCU note [N2]
- [D1] Visualization of the common-mode effect dependencies using ROOT interactive ( 11 Dimensions)
- [D2] Visualization of the ion-tail fit parameters and correction graphs using ROOT interactive (12 Dimensions)
- [D3] Visualization of the toy MC results using ROOT interactive (13 Dimensions)
-
Support material for V0 reconstruction studies [P1]
- [D4] Interactive invariant mass histogram dashboards (6+2 Dimensions)
- [D5] Pt and invariant mass performance maps dashboards
-
QA and production preparation :
- [D6] QA comparison of ongoing MC and raw data production (LHC18q,r, LHC18c,LHC16f,LHC17g..) See interactive dashboards in agenda of calibration/tracking meeting:
-
PID
-
Fast MCkalman and event display
- [D8] Space charge distortion calibration (Run3) and performance optimization (Run2, Alice3) - [P9]
- [D9] High dEdx (spallation product) reconstruction and magnetic monopole tracking
-
Space charge distortion calibration
- [D10] digital current grouping and factorization studies
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