ILC @ KEK IPNSand

GRIDAkiya Miyamoto

KEKAt 28-Feburary-2007

FJPPL meeting

Physics Scenario at ILC

Detector Concepts SiD

– Silicon tracker, 5T field("small" radius)– SiW ECAL– http://www-sid.slac.stanford.edu/

LDC – TPC, 4T field– SiW ECAL (“medium” radius)– http://www.ilcldc.org/

GLD – TPC (+Silicon IT), 3T field– W/Scintillator ECAL (“large” radius)– http://ilcphys.kek.jp/gld/

4th Concept – Dual Readout(Scintillator+Cristal) Calorimeter– Dual Air Core Coil – http://www.4thconcept.org/

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

GLD organizationMember :16 countries, 77 Univ./Inst. 224 members

Contact Persons H.Yamamoto, H.B.Park (Asia), G.Wilson(NA) R.Settles, M.Thomson(EU)

UK 5Germany 3Italy 2Netherlands 1Rusia 1

Japan 28 Philipine 2Korea 8 Australia 2China 5 India 4Singapole 1 Vietnum 1

USA 11Canada 1

# inst.

Executive boardS.Yamashita - BenchmarkA.Miyamoto - SoftwareY.Sugimoto - Vertex DetectorH.J.Kim - Intermediate TrackerA.Sugiyama/R.Settles – TPCT.Takeshita - Calorimeter/MuonT.Tauchi - Interaction RegionH.Yamaoka - Coil & StructureP.Ledu - DAQM.Tomson - Space

GLD Concepts has been developed through E-mails and TV meetings discussion http://ilcphys.kek.jp/gld lcddds@ilcphys.kek.jp

GLD DOD: physics/0607154

Task forces (since March 2006) IR (T.Tauchi ) PFA (T.Yoshioka) Tracking ( to be decided)

ILC crossing angle, Detector hall, push/pull options, etc are hot topics in recent meetings

GLD is a team for detector concept studies

Not a collaboration

ILC @ KEK IPNS

Hardware studies Vertex Detector Fine Pixel CCD (~5x5m2 pixel size )for ILC

Vertex Detector

TPC with MPGD readoutAs a member of LCTPC Collaborationparticipate beam tests at DESY

Software study Detector simulator based on Geant4 Event reconstruction tools Physics studies

Simulation

ROOT objects : Event Tree & Configuration

Our software tools

BeamtestAnalysis

EventReconstruction

Digitizer Finder Fitter

DetectorSimulator

QuickSim FullSim

EventGenerator

Pythia CAIN StdHep

PhysicsAnalysis

Jet finder

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.

Example of QuickSim Study; ,e e X e

Incl. beamstrahlung350GeV, nominal(Mh)~109MeV

Incl. beamstrahlung350GeV, high-lum(Mh)~164MeV

Incl. beamstrahlung250GeV, nominal(Mh)~27MeV

E/E(beam)~0.1%Differential Luminosity(500GeV)

min/ no als s

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 structure easy installation of sub-

detectors

Currently using 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

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 the JSF framework Compatibility is yet to be tested.

Break point

Post-hits

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

GLD Geometry in Jupiter

FCAL

BCAL

IT

VTX

CH2mask1 module

Include 10cm air gap as a readout space

DID Field and Backgrounds

High energy

Low energy

Exit hole

cm

Detector Installed Dipole-magentic Field : reduce background hits

Jupiter Simulation

FCALBCAL

CH2Mask

e+e- hit distribution at BCAL

4m入射ビーム

Typical Event Display

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

Jet Measurements in ILC Det. Particle reconstruction

Charged particles in tracking DetectorPhotons in the ECALNeutral hadrons in the HCAL (and possibly ECAL)b/c ID: Vertex Detector

Large detector – spatially separate particles High B-field – separate charged/neutrals High granularity ECAL/HCAL – resolve particles

For good jet erngy resolution Separate energy deposits from different particles

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)

Next step !

Detector configuration optimization.

Other energy points & physics channels

Benchmark Processes

Benchmark processes recommended by the Benchmark Panel.

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 TohokuKobe

GRID : Future Direction

KEKCC LCG environment

LCG resource outside KEK

GRID-LAN F/W

KEK-LAN F/W

NFSSE

LCG

LCG

LCG/Grid Protocol

SE: Storage Element

LCG/Grid Protocol

Universities

SE2

No GRID univ’s

TohokuKobe

ILC Resource

KEK User PC’s

GIRD sites

ILC VO, CALICE VO, JHEP VO, …

Backup slides

Description Detector Language IO-Format Region

Simdet Fast Monte Carlo TeslaTDR Fortran Stdhep/LCIO EU

SGV Fast Monte Carlo flexible C++ None(LCIO) EU

Lelaps Fast Monte Carlo SiD, flexible C++ SIO, LCIO US

QuickSim Fast Monte Carlo GLD Fortran ROOT Asia

Brahms-Sim Full sim. - Geant3 TeslaTDR C++ ASCII, LCIO EU

Mokka Full sim. – Geant4 TeslaTDR, LDC C++ LCIO EU

SLIC Full sim. – Geant4 SiD C++ LCIO US

ILC-ROOT Full sim. – Geant4 4th C++ ROOT US+EU

Jupiter Full sim. – Geant4 GLD C++ ROOT, LCIO Asia

Brahms-Reco Reconstruction framework TeslaTDR Fortran LCIO EU

Marlin Reconstruction Analysis framework

Flexible,LDC C++ LCIO EU

Org-lcsim Reconstruction packages SiD(flexible) Java LCIO US

Satellites Reconstruction packages GLD C++ ROOT Asia

LCCD Conditiions data toolkit LDC, SiD, .. C++ MySQL, LCIO EU

GEAR Geometry Description Flexible C++ XML EU

LCIO Persistency/Datamodel All C++,Java,Fortran

- EU,US,Asia

JAS3/WIRED Analysis tool/Event display LDC, SiD … Java XML,LCIO,stdhep, heprep, US, EU

JSF Analysis framework All C++ ROOT/LCIO Asia

Software tools in the world

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

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 )

Cross sections

5k events/4y

SM processes+ New physics