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  • compare proposed detector technologies (before in concert with test beam)
    • calorimeter examples - RPC, GEM, scintillator, Silicon, lead tungstate, hybrid
  • compare full detector designs
  • compare MC with test beam results to understand both
  • compare, test, debug reconstruction and analysis algorithms
  • optimize design of subsystems, subdetectors
  • understand role of dead material in affecting physics processes
  • understand effects of hardware inefficiencies such as cross-talk, dead cells, etc.
  • understand effects of backgrounds
  • establish an infrastructure for the actual detector experiment(s)

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Program

Description

Detector

Language

IOFormat

Region

Simdet

fast Monte Carlo

TeslaTDR

Fortran

StdHep/LCIO

EU

SGV

fast Monte Carlo

simple Geometry, flexible

Fortran

None (LCIO)

EU

Lelaps

fast Monte Carlo

SiD, flexible

C++

SIO, LCIO

US

Mokka

full simulation - Geant4

TeslaTDR, LDC, flexible

C++

ASCI, LCIO

EU

BrahmsSi

Geant3 - full simulation

TeslaTDR

Fortran

LCIO

EU

SLIC

full simulation - Geant4

SiD, flexible

C++

LCIO

US

LCDG4

full simulation - Geant4

SiD, flexible

C++

SIO, LCIO

US

Jupiter

full simulation - Geant4

JLD (GDL)

C++

Root (LCIO)

AS

BrahmsRec

reconstruction

TeslaTDR

Fortran

LCIO

EU

Marlin

reconstruction

Flexible

C++

LCIO

EU

hep.lcd

reconstruction

SiD (flexible)

Java

SIO

US

org.lcsim

reconstruction

SiD (flexible)

Java

LCIO

US

JupiterSatelites

reconstruction

JLD (GDL)

C++

Root

AS

LCCD

Conditions Data Toolkit

All

C++

MySQL, LCIO

EU

GEAR

Geometry description

Flexible

C++ (Java?)

XML

EU

LCIO

Persistency and data model

All

C++, Java, Python, FORTRAN

AS,EU,US

JAS3/WIRED

Analysis Tool / Event Display

All

Java

LCIO, StdHep, HepRep

US,EU

(above from slide of Tony Johnson)

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