ild software for ild detector simulation and optimization · similar detector model lcio helps to...

ILD

Software for ILDdetector simulation and

optimization

Akiya MiyamotoKEK

12-July-2010DESY Computing Seminar

ILD ContentesILC overviewGLD software tools and optimizationILD Software tools

MokkaReconstruction

GRID in KEK

12 July 2007 Akiya Miyamoto 2DESY Computing Seminar

ILD International Linear Collider : ILCe+e- ColliderEcm: 0.2 ~0.5 TeV 1TeV∫Ldt = 500 fb-1 in 4 years

2004: launched2007: ILC RDR2009: Detector LOI

2012: TDR/DBD


ILD Higgs – Vacuum

Higgs coupling proportional to mass in the SM

Did Higgs break the symmetry ?

Condensed in vacuum ?


ILD Supersymmetry

Fermion Boson

• Do forces unify ?• Do Quarks and Leptons unify ?

• Mass, Coupling

Extending to Higher energy/Early Universe


ILD ILC Reference Design ReportReleased 2007 summer: http://www.linearcollider.org/cms/?pid=1000437

Executive Summary

Physics at the ILC

Accelerator Detectors

RDR: 4 volumes/ 774 pages


ILD Challenge of ILC experimentse+e- Collision:Well defined initial states and relatively clean final states.

Find faint new physics signalsMake precise tests of theory

Many events contains top, W, Z jetsPrecise measurement of jet energy

Calorimeter system inside the coilHighly segmented calorimeter for high resolution

Efficient b/c tagging crucialThin material, strong B field, VTX very close to IP, pixel detectors

Higgs recoil measurements ( e+e- Zh llXh) require good ΔP/PHermetic detector down to very close to beam pipe ( ~ 10 mrad )Detector should be shielded well against beam related backgrounds,low energy e+e- pairs, γγ hadrons, muons,


ILD Detectors for ILC experiments

Tracker: Charged particlesΔpt/pt : 1/10 of LHC

Higgs recoil to Z

Calorimeter:Neutral particlesΔE/E <½ of LEP

good badW/Z separation

WWZ

Z

Vertex Detectorb/c/τ taggingRvtx<1/5 LHC

Improves η(c-tag)


ILD

DESY Computing Seminar

Challenge of SoftwareChallenge

Enrich ILC physics case, taking progresses of HEP ( work with theorists )Show the proposed detector can do physics and meet the ILC goal

Performance targetParticle Flow : Very good jet energy resolution by highly segmented calorimeterVertexing: 2nd/3rd vertex reconstrucionTracking: excellent ΔP/P in ILC condition

Studies based on full simulation and realistic reconstruction are necessary

MokkaMarlin Reconstruction

PandoraPFALCFIVertexTrack Reconstruction

912 July 2007 Akiya Miyamoto

ILD


GLD+LDC ILDAt the time of ILC RDR, 4 detector concepts were considered.For LOI submission in 2009, GLD and LDC agrees to merge and formed the ILD group.

In order to define ILD concepts, studied benchmark processeschecked consistency of software toolsoptimized ILD parameters


LDC:Small cell CAL.Gaseous Tracker4TEuropean based

LDC:Small cell CAL.Gaseous Tracker4TEuropean based

GLD:Small cell CAL.Gaseous Tracker3TAsian based

GLD:Small cell CAL.Gaseous Tracker3TAsian based

ILD

ROOT objects : Event Tree & Configuration

GLD software tools

BeamtestAnalysis

EventReconstruction

DigitizerFinderFitter

DetectorSimulator

QuickSimFullSim

EventGenerator

PythiaCAINStdHep

PhysicsAnalysis

Jetfinder

Link to various tools at http://acfahep.kek.jp/subg/sim/softGLD Software at http://ilcphys.kek.jp/softAll packages are kept in the CVS. Accessible from http://jlccvs.kek.jp/


ILDJSF

Framework: JSF = Root based applicationAll functions based on C++, compiled or through CINTProvides common framework for event generations, detector simulations, analysis, and beam test data analysisUnified framework for interactive and batch job: GUI, event displayData are stored as root objects; root trees, ntuples, etc

development has started since 1999

Release includes other toolsQuickSim, Physsim(event generators)BSGen(generate luminosity spectrum)Analysis utilities…


ILDJupiter/Satellites for Full Simulation Studies

JUPITERJLC Unified

Particle Interactionand

Tracking EmulatoR

IOInput/Outputmodule set

URANUS

LEDA

Monte-Calro Exact hits ToIntermediate Simulated output

Unified Reconstructionand

ANalysis Utility Set

Library Extention for

Data Analysis

METISSatellites

Geant4 basedSimulator

JSF/ROOT basedFramework

MC truth generator Event Reconstruction

Tools for simulation Tools For real data

Jupiter has modular structure for easy installation of sub-detectorsJupiter can run as a standalone job or a module of JSFGeometry parameters are set by an ascII file read-in at run time Special feature to store pre- and post- point of tracks before/after Calorimeter and break points for PFA studies


ILD ILD Optimization Procedure

1512 July 2007 Akiya Miyamoto DESY Computing Seminar

WhizardWhizard PhyssimPhyssim

StdHepStdHep

MOKKAMOKKA JupiterJupiter

LCIOLCIO

MarlinMarlin SattelitesSattelites

LCIOLCIO

DST and AnalysisDST and Analysis

LDC GLDStdHep: Same generator dataLCIO: Common IO format GLDPrim/LDCPrim:

Similar detector model

LCIO helps to collaborative works for detector optimization

Software inter operativity

After ILD optimization, LDC framework was selected as the baseline for LOI studies. No time to really merge GLD and LDC software

ILD Optimization by Benchmark Process


0 01 1

0 0 0 02 2 1 1

e e W W W W

e e ZZ

χ χ

χ χ χ χ

+ − + − + −

+ −

→ →

→ →

% % % %

% % % %

Using several detector models, performance to separate W/Z in jet mode have been studied using SUSY processes

by Taikan Suehara

No significant differences are seen

ILD Benchmark : 500 GeV τ pair


Only significant difference among detector models found for τ full reconstruction, example in τ− ρ−ντ π−π0ντ

For reconstruction of both g from π0 γγSmaller segmentation (5x5mm2) and larger radius advantageousImpact on physics sensitivity less pronounced

Jupiter

Mokka

Jupiter

Mokka

ILD ILD Design


3x Dbl. Layer VTX

Support of BP/VTX/SIT

Forward ComponentBox support option

B=3.5T, RECAL=1.85 m B=3.5T, RECAL=1.85 m

ILD ILD LOI and beyond


LOI was submitted March 2009

Validated by IDAG in September 2009

Next step is to develop Detailed Baseline Design

(DBD) by 2012Re-baseline of ILC, working together

with accelerator colleagues

ILD GDE Schedule


ILD


Software in DBD eraGuidelines for software related studies given by Research Director

“Develop a realistic simulation model of the baseline design, including faults and limitation”“Simulate and study updated benchmark processes including 1 TeV, with background conditions and demonstrate physics capabilities”

ILC re-baselineGDE is updating ILC parameters, taking account R&D progressed since RDRNew parameter will affect beam background conditions and physicsperformance software based studies are necessary

For ILDImplementing GLD goodies to LDC and improve LDC soft to meet requirements for DBD ILDsoftImprove our tools taking into account lessons in LOI era to meet RD’s request


ILD


ILD Software toolsGenerators

Common Stdhep dataWhizard/PhysSim packages

Simulation: MokkaGeant4 application

ReconstructionMarlin FrameworkReconstruction tools as Marlin Processors

Core toolsLCIO : standard for persistency format and event data modelGear, LCCD, CED, …Grid tools and ilcsoft-install


Digitization

Simulation: MokkaGeant4 application

ILD


Mokka simulationCore developped by LLR, using Geant4Geometry data are given by MySQL database

“scalable geometry” has been useful for ILD optimizationMany sub-detector configuration co-exists, even for beam-test detectors.

ILD_00 model ILD_nfairly detailed geometry

Mokka readsILC Common Generator samples in stdhep formatGunieaPig beackground particle data….

Mokka outputsSimCalorimeter, SimTrackerHitsby LCIO


ILD in Mokka by 3D pdf

ILD


VXD in MokkaTwo geometries are available in Mokka

Common to DEPFET, FPCCD, CMOSCryostat is present, butcables and sensors are not addressed.

to be improved for DBD


Sensor structure

Used for ILD-LOI

ILD


Silicon Trackers and TPC


4 Silicon trackers in ILD: SIT, FTD, ETD, SETCylinders/Disks

strip sensors for DBD

Geometries in Mokka

FTD

SIT

ETD

TPCGas- Ar/CF4/C4H10 Cu, mylar, G10, Air for Field cage and end plate ( equivalent mass )No phi-dependence, but OK. TPC is very uniform device

ILD


ECAL

Mixed readout ( ScEcal/SiECAL )will be considered in DBD study.


ScECAL

ECAL module side view : incl. dead spaces

SiECAL

Two readout options, sharing same structure: Silicon and Scintillator

5x5mm2 Si

SiECAL : baseline for LOI, detailed strcture used for LOI study

ILD


HCALAnalog HCALActive: Scintilator


cylindrical8/16-sided Cross section of1 module

1 layer

Digital HCALActive: RPC

spacer

Float Glass

MylarGraphite

PCB

Elec.

Float glassGraphiteMylar

free space

RPC ( cross view)

Realistic geometry already implemented in MokkaOptimizations :

8/16-sided vs cylindrical & scintillator vs RPCthickness ( # layers ), gaps, tail catchers, absorber materials,

ILD


Forward detectors in MokkaConsists of LCAL, BCAL, LHCAL, Beam tube and MasksMokka model ~ CAD model, but CAD model will evolve with time and Mokka model needs to follow


ILD CAD model

ILD Mokka model

LHCALBCALNew LCAL driver

Tile gap

FEchips

side view of 1 layer

Front view

ILD


Muon system, Coil and Yoke Updated version of the Muon system has been prepared.Fairly detailed geometry, waiting integration in the central code

Magnetic fieldFor LOI study,

uniform Solenoid field for physics studyapproximated anti-DID field for background study

For DBDBetter anti-DID field map is necessary for performance study, at least.Uniform field or realistic anti-DID:

– need to consider balance amongcode readiness, CPU penalty, improvements in reality, ……


Barrel MuonTail catcher in cryostat

ILD


Cables/ServicesCables, services, dead materialsfor data out/power in/cooling/gas flow

sub-detector drivers implements their own materials.

To address materials in sub-detectorboundaries, small WG has been setup within ILD for

coordination between sub-detectors/optional detectorsdefining layout and material budgetsImplementation in Mokka will follow

Under new European AIDA framework, new geometry tool kits are indevelopment. New kit will allow consisten geometry treatment among CAD Model, Simulator model, Analysis model. We will be benefitted from this new development


Mokka: Inner part of ILD

???

ILD


Reconstruction ToolsMarlin analysis flow

Digitizer for all sub-detectorsTracking:

LDCTracking for TPC and VTX/Silicon trackers migration to new C++ version in progress

Particle FlowCalorimeter clusteringAssociate track and calorimeter and create PFObjects ( = primaryparticles )

Jet clusteringLCFIVertexing : tag each jets

Output as REC data and DST data by LCIO


ILD Jet Measurements in ILC Det.Typical feature of ILC events and detector

e+e- Z0 q qbar

ΔE/E

(Δp/

p)

p(GeV/c)/E(GeV)

HD CALΔE/E=50%/√E

Tracker（TK)Δpt/pt=5x10-5pt

EM CALΔE/E=15%/√E

Resolution of a ILC detector

Principle of PFA detectorCharged particles by tracking deviceRemove charged particle signals in CAL ( avoid double counting )

Large bore magnet, Large B-fieldHighly segmented CAL to separate clusters by charged and neutral particles.

Patten reconstruction is a key.

Large bore magnet, Large B-fieldHighly segmented CAL to separate clusters by charged and neutral particles.

Patten reconstruction is a key.


ILD


Pandora PFA


Originally developed by Mark Thomson (U. Cam) as a Marlin Processor.V3.2 was used for ILD LOI. Used by SiD ( thanks to common LCIO format ), achieved ΔE/E ~ 25%/√E for Z pole jetsNow re-organized to PandoraPFANew, as a stand alone package

PFA algorithm

slide by John Marshal (ILD Soft WS)

ILD


LCFIVertexingLCFI group developed LCFIVertexing package.Apply algorithm for each jetsIt consists of two parts,

ZVTOP/ZVKIN : Find vertexies from probability of overlapped trajectoriesNeuralNet for tagging and vertexing

Jet with 1 vertex (=IP) – may contain 1 displaced track (D)

> 1 vertecies:– Pt corrected vertex mass is a very good

variable to identify quark floavor.– Other variables (joint-track probability, etc.)

LCFIVertexing also outputvertex charge: powerful discriminator of b and anti-b quarks

Used by both SiD and ILD ( thanks to LCIO )


Pt corrected vertex mass

ILD


LCFIVertexingTypical b/c tag performanceWith neural nets tuned for Z qq eventsVery good performance ( also thanks to the vertex detector placed very close to IP)Issues to be studied

performance with beam backgroundsperformance in multi-jet environments


Vertex charge of b-jets in ttbar events

Eff. ~ 28% with purity 75% for a b-jet, incl. b B0

LCFIVertexApply neural net analysis for each jets.Jets with no displaced vertex, but >1 misplaced track.

C-jets ( charged D meson)2 misplaced track : b c jetsjoint probability of all track to originate from primary vertex

More than one vertex founddecay length and decay length significancemomentum of tracks assigned to verteciespt corrected vertex massnumber of tracks of non-primary vertexsecondary vertex probabilityjoint probability of all tracks to originate from primary vertex

GRIDGRID is an infrastructure for a large scale international researchesGRID provides

Resources forLarge scale computingLarge scale data storage

International/Inter-regional communication basis

GRID have been used extensively in ILD LOI studies for MC productionsData sharing between Japan – Germany/France/UK

Tohoku Univ.

KEKUniv. of Tsukuba

Nagoya Univ.

Kobe Univ.Hiroshima IT

Network in Japan and GRID• Major HEP projects:

– Belle, J‐PARC, ATLAS ongoing projects– ILC, Belle2 future projects

• Also covering – Material science, bio‐chemistry and so on using

synchrotron light and neutron source– Radiotherapy as technology transfer

• KEK has a role to support university groups in these fields.– including Grid deployment/operation.

Hiroshima Univ. (Alice)U of Tokyo (Atlas)

SINET3


http://www.sinet.ad.jp/

Round Trip Time: KEK IHEP/KISTI ~ 100msecFNAL ~ 200msecDESY/IN2P3 ~ 300msec

GRID infrastructures


Middle ware gLite NAREGI Gfarm SRB iRODSBelle (Belle2) Using Planning Using UsingAtlas UsingMedical Apps Using Developing PlanningILC Using Planning PlanningJ-PARC Planning Planning Planning Testing

LCG RENKEI

KEKCC supports both LCG and NAREGI/RENKEI

Many Japanese HEP groups are joining LCG

NAREGI middleware is being deployed as the general purpose e-science infrastructure in Japan

RENKEI is developing a system to provide a seamless user environmentbetween the local resources and multiple grid environment

GRID for ILCTwo Vos have been used:

CALICE-VO:Test beam data analysis and MC. Standard data processing in GRID

ILC-VO:Needs huge CPU resources for the studies. Available only on GRIDStandard MC samples ( ~ 50TB) are on GRID for sharing

Status:A typical data transfer rate from IN2P3/DESY to KEK: ~ 200kB/sec/port

a frequent timeout for transfer of ~ 2GB: Cured by removing a time out at IN2P3

Overhead of catalog accessILD DST: many small size DSTs, limited by CPU time for a MC job.MC and DST production at DESY/IN2P3

Merge DSTs to create a large size file, then replicated to KEK

A typical GRID performanceFile transfer: IN2P3 Kobe, 184 files/210 GB in 13 hours

- part of ILD LOI study, in Dec. 2008- 10 ports/job

Pedestal in transfer time ~ 20~60sec. < 100MB is not effective.Instantaneous transfer rate: average 4 MB/sec, Max. 10 MB/sec

not great, but has been used for real works successfully

Data size vs Time Transfer rate

During Dec. ‘08 to Feb. ’09, O(10TB) data have been exchanged through GRID.It was crucial for the successful LOI studies.During Dec. ‘08 to Feb. ’09, O(10TB) data have been exchanged through GRID.It was crucial for the successful LOI studies.

ILD


Recent issues on GRIDAfter LOI, KEK has extended GRID resources

CPU: 0.3M SI2K to 6M SI2K ( utilize old CPU resources )Storage: IBM HPSS as the backend storage. Tape capacity up to 3 PB.shared by batch server and many other groups.

Operational issuesnetwork speed outside JapanWith increasing WNs, many new problems seems to appear

Files in HPSS : file transfer breaks frequentlyAccess to MySQL server from WNDisk space of WNs are not sufficient for storing large temporary dataOver-loaded WMSVery slow turn around from job submission to job out retrievingFailure rate is not low enough and system tuning is yet to be done.


ILD


SummaryVery extensive developments and studies have been done using ILCsoftware tools.We are aiming to produce DBD by 2012 and software based study will play crucial role in it.Our main efforts right now are

updates of simulator modelsimprovements of core software tools

Improvements of reconstruction tools and new benchmark studies will follow soon


ild software for ild detector simulation and optimization · similar detector model lcio helps to...

Documents