GLD Simulation tools and PFA studies

Akiya MiyamotoKEK

At 9-January-2007FJPPL meeting

FJPPL

• France Japan Particle Physics Laboratory• France-(CNRS-CEA: LAPP, LLR, LPNHE,

LAL, DAPNIA); Japan-KEK • http://acpp.in2p3.fr/cgi-bin/twiki/bin/view/FJH

EPL/WebHome– You have to register yourself to access internal

info.

• ILC detector R&D is one of the main projects of FJPPL.

K.Kawagoe, Sep. 2006

“A common R&D on the new generation detector for the ILC”

• Members– J.C. Brient, H. Videau, J.C. Vanel, C. de la Thaille, R. Po

eschl, D. Boutigni– K.Kawagoe, T. Takeshita, S. Yamashita, T. Yoshioka, A.

Miyamoto, S. Kawabata, T.Sasaki, G. Iwai• Goals(1) Design and development of reliable Particle Flow

Algorithm (PFA) which allows studying the design and the geometry of the future detector for the ILC,

(2) Design and development of a DAQ system compatible with the new generation of calorimeter currently in design and prototype for the ILC, and

(3) Design and development of the optimized detector for the final ILC project, leading the participation of the LOI and TDR document for the ECAL point of view.

K.Kawagoe, Sep. 2006

Contents

GLD introduction Tools for GLD studies Few comments about GRID

Physics Scenario at ILC

Vertexing

Tracking

Jet energy (Higgs self-coupling, W/Z sep. in SUSY study)

Hermeticity

3/ 25 10 / sinip m m p beampipe~1/ 5 r ,~1/ 30 pixel size (wrt LHC)

5(1/ ) 5 10p

~1/ 6 material, ~1/ 10 resolution (wrt L/ GeV

HC)

/ 0.3/ ( )E E E ~1/ 2 resolution (wrt GeV LHC)

(http://blueox.uoregon.edu/~lc/randd.pdf)

( , , )h bb cc

( ; incl. nothing)e e Zh X h

ILC Detector Performance Goals

E physics(SUSY,etc)

Hermetic down to ~O(5mrad)

“High granularity” will be a key feature of ILC detectors

SUSY study in jet mode 0 01 1

0 0 0 02 2 1 1

e e W W W W

e e ZZ

LSP+WW LSP+ZZ

(0.5TeV, fb) 20.1 1.8

No. of jet events (0.5ab-1)

4641 441

30% / E 60% / E

M1qq(GeV)

M2qq(G

eV

)

M1qq(GeV)

M2qq(G

eV

)

Hard to find Neurtalino

SUSY parameter: m0=500GeV, =400GeVM2=250GeV, tan=3

GLD Design Concepts

Separate neutral and charged particle PFA == Key for the good energy resolution

Segmentation of calorimeter : do to the limit of Moliere Radius Large radius calorimeter : spatially separate particle

( also good for tracker ) High B field : separate charged and neutral

Figure of Merit

2

2 2M

BR

R

: CALgranularity

:EffectiveMoliere radiusMR

Neutral energy inside certain distance from cahrgedscale ~ 1/R2

GLD Configuration

GLD Side view Moderate B Field : 3T R(ECAL) ~ 2.1m

ECAL: 33 layers of 3mmt W/2mmt Scint./1mmt Gap HCAL: 46 layers of20mmt Fe/5mmt Scint./1mmt Gap

Photon sensor: MPPC ~O(10M) ch. Configuration of sensor is one of the R&D item

s

GLD Configuration - 2

TPC:R: 0.452.0m, ~200 radial sampleHalf Z: 2.3mMPGD readout: r<150m

SIT: Silicon Strip Barrel/Endcap

VTX:Fine Pixel CCD: ~5x5mm2

2 layers x 3 Super Layers

cos 0.9

Our Software Tools

lcbase : configuration files

Leda : Analysis tools (Kalman fitter, 4vector and jet findinder utilities )

jsf : Root-based framework lclib : QuickSim and other fortran based utilities physsim : Helas-based generator

Jupiter : Full simulation based on Geant4 Uranus : Data analysis packages Satellites : Data analysis packages for MC data

We use only C++, except old fortran tools. Link to various tools at http://acfahep.kek.jp/subg/sim/soft GLD Software at http://ilcphys.kek.jp/soft All packages are kept in the CVS. Accessible from http://jlccvs.kek.jp/

JSF

Framework: JSF = Root based application All functions based on C++, compiled or through CINT Provides common framework for event generations, detector simulations,

analysis, and beam test data analysis Unified framework for interactive and batch job: GUI, event display Data are stored as root objects; root trees, ntuples, etc

Release includes other tools QuickSim, Event generators, beamstrahlung spectrum generator, etc.

JSF and ROOT

ROOT objects : Event Tree & Configuration

EventGenerator

DetectorSimulator

EventReconstruction

PhysicsAnalysis

BeamtestAnalysis

Digitizer Finder Fitter

QuickSim FullSim

Pythia CAIN StdHep

JSF is a ROOT based application to provide a common interface to physicists

http://root.cern.ch/

Jupiter/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

JSF: the analysis flow controller based on ROOT The release includes event generators, Quick Simulator, and simple event display

MC truth generator Event Reconstruction

Tools for simulation Tools For real data

Jupiter feature - 1

Modular organization of source codes for easy installation of sub-detectors

Based on Geant4 8.0p1

Geometry Simple geometries are implemented

( enough for the detector optimization ) parameters ( size, material, etc ) can be modified by input ASCII

file. Parameters are saved as a ROOT object for use in Satellites

later

Input: StdHep file(ASCII), HepEvt, CAIN, or any generators implemented in JSF. Binary StdHep file interface was implemented, but yet to be tested.

Jupiter feature - 2

Run mode: A standalone Geant4 application JSF application to output a ROOT file.

Output: Exact Hits of each detectors (Smearing in Satellites) Pre- and Post- Hits at before/after Calorimeter

Used to record true track information which enter CAL/FCAL/BCAL.

Break points in tracking volume Interface to LCIO format is prepared in a JSF framework

Compatibility is yet to be tested.

Break point

Pre-hits

GLD Geometry in Jupiter

FCAL

BCAL

IT

VTX

CH2mask1 module

Include 10cm air gap as a readout space

By H.Ono

By H.Ono

Metis package Metis is a collection of reconstruction tools for Jupiter data.

Run as a JSAF module, i.e, Jupiter data and reconstructed results are saved in a ROOT tree. Each module is relatively independent, thus easy to implement different reco

nstruction algorithm according to user interests

Package under developments includes IO: Geant4 objetcs to ROOT objects/ Interface to LCIO Hit digitizer: Mostly simple smearing of exact hits

CAL hit maker : include a cell signal merger for strip configuration Kalman fitter for TPC, IT, and Vertex Cheated PFA Realist PFA (GLD-PFA) Jet clustering

Typical Event Display

- ZH → h : Two jets from Higgs can be seen.

Momentum resolution

Exact hit points created by single were fitted by Kalman filter package

pt/p

t2 (G

eV

-1)

A typical CAL. performance

by Y.Kawakami and H.Ono

Ener

gy R

esol

utio

n(E

/E)

GammaK0L

1/ ( )E GeV 1/ ( )E GeV2 2 2(0.159 / ) (0.009) )( /E E E 2 2 2(0.525/ ) (0.050) )( /E E E

Performances have to verified/confirmed by beam tests in coming years

e+

e-

Realistic PFA Critical part to complete detector design

Large R & medium granularity vs small R & fine granularity Large R & medium B vs small R & high B Importance of HD Cal resolution vs granuality …

Algorithm developed in GLD: Consists of several steps Small-clustering Gamma Finding Cluster-track matching Neutral hadron clustering

Red : pionYellow :gammaBlue : neutron

- Performance in the EndCap region is remarkably improved recently.- Almost no angular dependence : 31%/√E for |cos|<0.9.

All angle

- Z → uds @ 91.2GeV, tile calorimeter, 2cm x 2cm tile size

Jet Energy Resolution (Z-pole)

T.Yoshioka (Tokyo)

Jet Energy Resolution

- Jet energy resolution linearly degrades. (Fitting region : |cos|<0.9)

- Energy dependence of jet energy resolution.

T.Yoshioka (Tokyo)

Next step is Optimization of detector configuration Using physics process, such as ZH, TT, etc,

CPU time/Data size

Data size

Xenon 3 GHz(32bit)

for 500 1/fb

Process MB/ev CPU sec/ev. #ev. GB cpu day

qq 91 GeV ~1.5 ~150

qq 350 GeV ~3.0 ~270

eeZHH 350GeV ~2.0 ~300 14k 28 48.6

eeH 350GeV ~1.9 ~170 15k 29 29.5

eeeeH 350GeV ~2.3 ~380 1.5k

3.5 15.4

eeZZqq 350GeV ~1.7 ~200 110k 187 255.6

eeeWeqq 350GeV ~1.6 ~240 1000k 16000 2777.8

ZHqqH 350GeV ~3.8 ~300 49k 186 170.1

ZZqqqq 350GeV ~3.3 ~340 434k 1432 1707.8( cpu time is about half at KEKCC, AMD 2.5GHz 64bit )

Benchmark Processes

Benchmark processes recommended by the Benchmark Panel.

Cross sections

5k events/4y

SM processes+ New physics

GRID for ILC studies

ILC GRID in Japan has just begun

ILC Computing requirements in coming years Full simulation based detector studies

Detector optimization Background studies & IR designs, etc These studies will be based on many bench mark processes. Cross checking of analysis codes

Sharing and access to beam test data

GRID will be an infrastructure for these studies. Data sharing Utilize CPU resources Among domestic/regional colleagues – easier access to codes &

data

We are beginner. as a first step, First: minimum resources Get familiar tools and data sharing

CALICEVO & ILCVO

GRID Configuration: JPY2006

KEKCC LCG environment

LCG resource outside KEK

GRID-LAN F/W

KEK-LAN F/W

NFSSLC4

Existing KEK-ILC group resource

ILC NFS

SE

LCG

LCG

LCG/Grid Protocol

SE: Storage Element

LCG/Grid Protocol

University

CPUServers

LCG UI

SLC3

SE2

LCG UI

SLC3

Backup slides