R3BRoot Framework. D. Kresan GSI, Darmstadt. First R3BRoot Development Workshop July 28 30, 2015 GSI, Darmstadt
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1 GSI, Darmstadt First R3BRoot Development Workshop July 28 30, 2015 GSI, Darmstadt
2 Outline Introduction to concept Relation to FairRoot Combined solution for R3B analysis Framework components - Analysis tasks - Data objects - Parameter containers Overview of the code structure Overview of Workshop 2
3 Introduction R3BRoot is software framework for simulations and data analysis of R3B experiments It is derived and based on the FairRoot framework common functionality for FAIR experiments Modular structure, has no executables dynamic shared libraries are loaded on demand, depending on the steering-macro 3
4 Introduction Simulation Simulation is fully ROOT based Virtual Monte Carlo (VMC): easy switch between Geant3 / Geant4 (keeping physics input, detector geometry, field map, stepping implementation) Additional reconstruction stage in simulation: digitization generate detector hits, based on Monte Carlo information 4
5 Introduction Data analysis Multiple data sources support: LMD file, Remote Event Server will be substituted by R3B-specific UCESB source Analysis is organized in user-defined tasks (algorithms) modular and flexible The same algorithms implementation is used for simulation and analysis 5
6 Simulation and Data Analysis Common analysis algorithms for simulation and experimental data Simulation Digitization Detector hits Analysis Experiment Mapping, Calibration 6
7 Relation to FairRoot (talk by F. Uhlig) MC Transport engines FairRoot Cuts, Processes Track Propagation Event Display Detector Base MC Application Run Manager Event Generator Tasks I/O Manager RunTime DB Magnetic Field ROOT files MBS event server (online) MBS data file (offline) Parameter containers Si-Tracker CALIFA PSP DCH TOF NeuLAND R3B ASCII Hit Producers Calibration Reconstruction Analysis R3BRoot GLAD ALADIN constant field CbmRoot PandaRoot 7
8 Combined solution for R3B UCESB + R3BRoot + Tracker UCESB MBS data unpacking. Channel mapping. R3BRoot Calibration. Reconstruction. Analysis. Tracker External tracker implementation. 8
9 Basic framework components
10 Analysis tasks Based on ROOT TTask mechanism Inherit from base class FairTask Modular scheme with hierarchy support (defined in steering macro) Framework takes over Input / Output implementation and parameter initialization A task has access to all data produced by previous tasks during the same run (or from file) 10
11 Data objects Input / Output is ROOT based TTree Arrays of data are stored in TClonesArray Data objects derive from TObject ROOT class Additional base classes: FairMCPoint, FairHit, R3BRawItem, etc 11
12 Parameter handling Calibration parameters are to be stored in user-defined containers Handling is done using FairRuntimeDB singleton object Currently 2 implementations are supported: Human readable ASCII file (suitable for small amount of parameters) ROOT file for storing C++ objects 12
13 Code structure
14 Code structure overview (1) Detector folders cal (CALIFA); xball (Crystal Ball); land, neuland (neutron detectors); dch (Drift Chamber); dtof, mtof, tof (TOF walls); los (start counter); gfi, mfi, psp, startracker, tracker (tracking detectors); passive (ALADIN, GLAD, Target) Contain implementation of detector-related algorithms (stepping, digitization, calibration), parameter containers (both for simulation and data analysis) 14
15 Code structure overview (2) field field maps implementation and data files gconfig configuration scripts for simulation engines geometry ROOT files with detectors geometry, media file input input files for simulation 15
16 Code structure overview (3) macros steering macros plists Geant4 physics lists r3bbase Base classes for R3B r3bdata (with subfolders per detector) data objects (MCPoints, Hits, etc ) 16
17 Code structure overview (4) r3bdb parameter containers for calibration (currently CALIFA, NeuLAND, LOS) r3bgen R3B-specific event generators for simulation 17
18 Upcoming Git repository R3BRoot will soon move to GitHub Take over FairRoot workflow (talk by A. Rybalchenko) UCESB interface B. Löher is implementing R3BUcesbSource interface to UCESB software package R3BRoot will read already unpacked and mapped detector items (raw hits) 18
19 Overview of the workshop program
20 Tuesday, July 28 Setting up preparing the environment, software installation Running analysis structure of a steering macro, run TOF unpacker Adding data classes create data class for storing TOF raw data, plug it into unpacker 20
21 Wednesday, July 29 (1) Adding analysis task create task for calculation of TOF time calibration parameters, which runs in the same macro with unpacker Calibration and parameter handling implement skeleton for storing of parameters using Runtime Database 21
22 Wednesday, July 29 (2) Applying calibration parameters create new task and data class for time-calibrated TOF data. Use calibration parameters to calculate time [ns] Web-based event display fill and publish histograms remotely during data unpacking 22
23 Thursday, July 30 Combined analysis create new analysis task accessing TOF and NeuLAND data Creating / accessing detector geometry structure of a macro to create geometry file. Accessing geometry in the analysis using Runtime Database Event display components of 3D event display. Adding new elements. Exercise with GUI 23
24 Next talk by R. Karabowicz on General Infrastructure
25 Wish you a successful workshop Questions?
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