FAIR Simulation & Analysis Framework FairRoot Mohammad Al-Turany (IT-GSI) Denis Bertini (IT-GSI)...

FAIR Simulation & Analysis FrameworkFAIR Simulation & Analysis FrameworkFairRoot FairRoot

Mohammad Al-Turany (IT-GSI)

Denis Bertini (IT-GSI)

Florian Uhlig (IT-GSI)

13.02.2008 M. Al-Turany Root@HeavyIon 2

OverviewOverview

• Motivation

• FairRoot Features

• CMake: Testing and building system

• Geometry Interface

• Runtime Database and Parameter Handling

• Fast simulation

• Integrated Track follower (Geane)

• Event display

• Grid

• Summary


MotivationMotivation

• Which simulation engine to choose?

– One would like to use the modern and maintained GEANT4

– But: 1. We have to:

– Work fast ! ( LOI, TDR deadlines … )– Make reliable simulation

2. In the CBM community and locally at the GSI :– Better knowledge of “old” MC’s: GEANT3, FLUKA … – less knowledge about GEANT4 ( intrinsic cuts / physics list …)– It was extremely difficult to get support for working with Geant4


Features Features

• No Executable: (Only Rootcint)– Compiled Tasks for analysis, reconstruction, etc.– Root macros for steering simulation or reconstruction – Root macros for configurations (G3, G4, external decyers, etc.)

• The same framework can be used for Simulation and Analysis

• VMC and VGM for simulation

• TTask to organize the analysis data flow

• Use of TGeoManager for Simulation and Reconstruction

• Eve (Alice Event display) as base for a general event display

• Dynamic Event structure based on ROOT tree


FeaturesFeatures

• Use of a Geometry Interface.– G3 Native geometry– Geometry Modeller (TGeoManager)– Different geometry input format

• Grid: AliEn is working fine for us and we use it!

• CMake: Makefiles, dependencies , QM ,...

• Doxygen for class documentation

• Use PROOF for interactive analysis


FairRoot IOFairRoot IO

• Dynamic Tree creation at initialization time– TFolder to organize memory– Simulation: CbmDetector::Init()– Analysis: CbmTask::Init()

• ( automatic partial IO )

• Chaining Input data– TChain services

• Connection of Data levels– Use of Root Friend mechanism


Tasks MechanismTasks Mechanism

CBMTask *Task1=new CBMTask("Task1") CBMTask *Task2=new CBMTask("Task2")

CBMTask *Task3=new CBMTask("Task3")




Task1->Add(Task2)

Task1->Add(Task3)

Task2->Add(Task4)

Task2->Add(Task5)

Task3->Add(Task6)

Task1

Task2 Task3

Task4 Task6Task5


Run Manager

Event Generator

Magnetic

FieldDetector base

IO Manager

Tasks

RTDataBase OracleConf, Par,Geo

Root filesConf, Par,Geo

Root files Hits, Digits, Tracks

ApplicationCuts, processes

Event Display

Track propagati

on

ROOT Virtual MC

Geant3

Geant4

FLUKA

G4VMC

FlukaVMC

G3VMC

Geometry

STS

TRD

TOF

RICH

ECAL

MVDZDC

MUCH

ASCII

Urqmd

Pluto

Track findin

g

digitizers

Hit ProducersDipole Map

Active Map

const. field

CBM Code

STT

MUO

TOF

DCH

EMC

MVDTPCDIRC

ASCII

EVT

DPM

Track finding

digitizers

Hit Producers

Dipole Map

Solenoid Map

const. field

Panda Code

comm

on developm

ents

Always in close

contact

Close contact

Design Design


Simulation-Reconstruction ChainSimulation-Reconstruction Chain

Event Generator

Transport

Digitizer

Hit Finder

Reconstruction

Physics Analysis

Fu

ll S

imu

lati

on

An

alys

is

Determine particle properties

at target vertex

Transport particles through

the detector material

Determine detector response

Determine physical space point

parameters from detector hits

Determine momentum vector

and PID for all tracks

Calculate physics observables

Storage

Levels

SIM

RAW

Fas

t S

imu

lati

on


CMake CMake

• Why CMake:

– It supports great variety of platforms • ( basically every *ix, Mac OS, Windows)• ( Win: Borland, MS Visual C++, cygwin, mingw)

– CMake generates out of simple rules native Makefiles for all supported platforms

– Input files (rules) are the same on all platforms– CMake additionally can produce project files for IDE's (KDevelop, XCode,

VStudio)

– Big community because Cmake is the build tool for KDE 4 – CMake has a testing framework– Porting FairRoot to Mac OS X took 30 minutes– Porting the rest of the needed Software (Root, Geant4 etc.) took more than 1

week


Why test dailyWhy test daily

• Large code base is too large/complicated for a single developer to understand/maintain

• Identify problems when they occur

• Project depends on external packages which can cause problems

• Provide direct feedback to the developers as they experiment with new features


Define automatic testingDefine automatic testing

• Update source from SVN

• Generate Makefiles

• Build the project

• Run Tests

• Submit results to a webserver


Software Process DashboardsSoftware Process Dashboards

SVN maintains source code revision

Typical developerchecks in code

CTest/CMake compilesand test the newly commited source code on distributed clients

Developer reviews the results


DashboardsDashboards

• Client/Server architecture

• Cross platform testing

• Memory testing (purify, valgrind)

• Coverage testing

• Create documentation on a nightly basis (Doxygen)

• Check coding conventions (Rule Checker)

If it's not tested it's not workingIf it's not tested it's not working


CbmRoot Quality DashboardCbmRoot Quality Dashboard



Rule CheckerRule Checker

Need to change the rules according to CBM/Panda Coding Conventions


Detector geometry in FairRootDetector geometry in FairRoot

• Hades Geometry interface – Advantage:

• more flexibility : different inputs can be used.• closer to technical drawings and analysis coordinate systems

– Oracle interface • Hades geometry table design reusable

• Step converter (Tobias Stockmann)– Step To Root

– Step To Hades ASCII

– Step To DDL (Not used in FairRoot)

• Defined directly (TGeo) in the detector code– (make sense for certain geometries CbmEcal, PandaEMC)


Tobias Stockmanns, FZ Jülich

Step converterStep converter : Status? : Status?

Import STEPImport IGES

ReadCompound

ReadSolid

AnalyzeSolid

LoadMaterialMap

ReadCompound

Output

BuildSolid

supports now:boxtubeconetrapsubtraction-solidArb8Xtru

DDL outputCBM outputRoot output


CAD converter, updates and improvements

Tobias Stockmanns

Usage of CAD converter tool was already successful for MVD

Usage of CAD converter tool was already successful for MVD


CAD converter, updates and improvements

Tobias Stockmanns

Some geometries are too complex to convert “blindly”

Some geometries are too complex to convert “blindly”

Solenoid,Barrel Yoke


RootBooleanPartRootBooleanPart

Tobias Stockmanns, FZ Jülich

-


Finally in TGeo:Finally in TGeo:


Runtime DatabaseRuntime Database

Runtime Database

2 Inputs

1 Output

List of Parameter Containers

ASCII File

ROOT File

Oracle

List of Runs

The Runtime Database is the manager class for all Parameter containers:

Creation, Initialization, Output

Container Factories

IO defined in the macro

Created in the init() function of the tasks via the container factories or in the macro

Filled during initialization

read()write()


Version management in OracleVersion management in Oracle

• For time dependent information a version management is needed which fulfills the following requirements: – It must be possible to get a consistent set of information for any

date (e.g.the start time of a certain run). – To preserve the history, no information - even if wrong - should

be overwritten without trace, which means that only inserts should be made, no deletes nor updates.

– It must be possible to get an answer to the question: 'Which parameters were used when analyzing this run X years ago?' (The calibration might have been optimized several times since this date. Maybe some bugs have been detected and corrected in the mean time.)


Version management in OracleVersion management in Oracle

Time dependant entries have a time stamp (date + time with

the precision of one second) in form of three columns (Format:

DATE):

• valid_since :First date when the entry is valid.

• valid_until :Last date when the entry is still valid

• invalid_since :Date when the entry is replaced by a correct entry or a better version in case of e.g. calibration parameters and therefore gets invalid.


Initialisation scheme (Analysis)Initialisation scheme (Analysis)

RunId1

RunId2

File=1

File=2

Sim. Data

Sim. Data

CbmTask Parameters

RunId1

RunId2

Par. Cont.

Par. Cont

CbmTask::SetContainers()CbmTask::init()

CbmTask::Exec()

CbmTask::Exec()

CbmTask::Reinit()

CbmParIo

CbmParIo

Data


Particle TransportDigitizationCalibrationReconstruction

Effective parametrization - acceptance cuts - resolution smearing - PID info

Full Simulation Fast Simulation

Event Generation

Physics Analysis

PANDA: Fast Simulations

Klaus Goetzen


Compared to Full SimCompared to Full Sim

Comparison to Full Sim are reasonable(channel: pp DsDs0)

(10 k Signal events; absolute numbers)


Split offs – Compared to Full SimSplit offs – Compared to Full Sim

Overall multiplicityper pp candidateare quite reasonable(channel: pp DsDs0)

0 mass shape andbackground also looksquite ok


Geane Integration in FairRoot

• The integration into the VMC (TGeant3) is done

• In FairRoot:– Geane can be used in the analysis or from macro– Propagation to

– Length – Plane– Volume (Enter or Exit point)– To Line– To Point– Point of closest approch on a wire

New Methods introduced by Pavia

group in PANDA


Muon Absorber in CBMMuon Absorber in CBM


Pulls for the Panda STT500 MeV/cWe have defined a plane to which

we extrapolate the track parameters.

RMS 0.95 RMS 0.93 RMS 0.93 RMS 0.92

RMS 0.92

Kapton 1.42 g/cm3Isobutan 2.7e-3 g/cm3


ROOT : New Event DisplayROOT : New Event Display

• A new package Eve (Event Visualization Environment )is introduced to ROOT 5.17.06

– Built on top of ROOT's GUI, GL and GED infrastructure

– Based on experiment-independant part of the ALICE event display

– It has been used in ALICE for more than a year to perform high-level event visualization, debugging of simulation and reconstruction code as well as for raw-data visualization.


Eve in FairRootEve in FairRoot

• Integration is straight forward (already done)• Some features can be used directly (even from macro)


Examples: Panda DetectorExamples: Panda Detector


FairEventManagerFairEventManager

• FairEventManager: (Sub-class of TEveEventManager)

– Read Events directly from FairRoot Tree– Select Events for Display– Apply cuts to whole event– Navigation (Next Event, Previous Event and Event No)– Read and display the geometry


FairRootManagerEditorFairRootManagerEditor


Event Display MacroEvent Display Macropanda_eve()

{ ................

gSystem->Load("libEventDisplay");

CbmRunAna *fRun= new CbmRunAna();

fRun->SetInputFile("testsimu10.root");

fRun->LoadGeometry();

FairEventManager *fMan= new FairEventManager();

FairMCTracks *Track = new FairMCTracks ("Monte-Carlo Tracks");

FairMCPointDraw *MvdPoints = new FairMCPointDraw ("MVDPoint");

FairMCPointDraw *EMCPoints = new FairMCPointDraw ("EmcPoint");

fMan->AddTask(Track);

fMan->AddTask(MvdPoints);

fMan->AddTask(EMCPoints);

..................

fMan->Init();

}


CBM: Points and TracksCBM: Points and Tracks


CBM Muon detectorCBM Muon detector


Examples: Panda Detector (MVD)Examples: Panda Detector (MVD)


Examples: HADES DetectorExamples: HADES Detector


Status Event DiplayStatus Event Diplay

• Any TGeoManager based geometry can be used directly

• Combined with trajectory visualization in FairRoot, it can be used directly from macro to display TGeoTracks (MC Tracks) and all sub-classes of CbmPoint

• A task which should handle CbmHit subclasses is in preparation.

• Digits has to be implemented by detectors


Status Event Diplay: TracksStatus Event Diplay: Tracks

• TEveTrack and TEveTrackPropagator:– Can be used directly with Track visualization option in FairRoot

• MCTracks and Reconstructed Tracks – Need A realistic track propagator

– Field maps has to be taken into account

Possible solution would be Geane Propagator!!


Existing sitesExisting sites

Upgraded to version 2-13 at the last GridWorkshop, Vienna, 1-5 October 2007

Ateneo/Manila

Kilian Schwarz and Dan Protopopescu


Control panelControl panel

Centralised control of all sites is now implemented via MonALISA: services can be remotely (re)started/stopped,



Simulation-analysis chainSimulation-analysis chain

In recent test productions on the Grid the simulation-analysis chain presented by S. Lange in the last PandaRoot status talk (September 2007 meeting) has been used



Job jdl and scripts – Job jdl and scripts – FairRoot on GridFairRoot on Grid

Some arbitrary submission id



ResultsResults

Message from the validation job

Message from the validation job


FairRoot on GRID - ResultsFairRoot on GRID - Results



Digitization, pattern recognition, tracking algorithms, and validation/tuning of simulations using REAL (=realistic) data

Digitization, pattern recognition, tracking algorithms, and validation/tuning of simulations using REAL (=realistic) data


What we have now!What we have now!• CBM:

– Mainly using Geant3 for simulation– TFulka is ready but we still straggling to get a license – We have our own work around to use native FLUKA and put the

output in FairRoot format (Dosimetery study )

• PANDA:– Mainly using Geant4 and compare to Geant3 – Some prototypes for EMC, TPC are build, test beams data is

available and will be compared to Geant3 and Geant4

• HADES:– Mainly used by us to compare to the data and existing native

Geant3 simulation (e.g. Cerenkov production etc.)

• NUSTAR:– Still evaluating if FairRoot will be suitable for them.


AvailabilityAvailability

• Tested on Linux and Mac OS • Some documentation: fairroot.gsi.de• subversion.gsi.de/fairroot/cbmroot• subversion.gsi.de/fairroot/pandaroot

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FAIR Simulation & Analysis Framework FairRoot Mohammad Al-Turany (IT-GSI) Denis Bertini (IT-GSI)...

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