Implementation of the Different Detector Concepts in Mokka Simulation Framework Snowmass August 2005, DESY Valeri Saveliev Obninsk State University / DESY,

Slides:



Advertisements
Similar presentations
LCFI physics studies meeting, 28 th June 05 Sonja Hillertp. 1 Report from ILC simulation workshop, DESY June Aim of workshop: preparation for Snowmass;
Advertisements

The SiD concept Yannis Karyotakis LAPP Annecy / IN2P3 March 21 st ‘05.
DESY 9 Dec 2004Mark Thomson 1 Software Needs for ILC Detector Optimisation Mark Thomson University of Cambridge  Motivation  What to Optimise ?  How.
1 Benchmarking the SiD Tim Barklow SLAC Sep 27, 2005.
Inside the new Mokka release Fabrizio Salvatore (RHUL) Gabriel Musat (LLR) Paulo Mora de Freitas (LLR)
1/9/2003 UTA-GEM Simulation Report Venkatesh Kaushik 1 Simulation Study of Digital Hadron Calorimeter Using GEM Venkatesh Kaushik* University of Texas.
Slic A Geant4-based detector simulation package Norman Graf, Jeremy McCormick SLAC October 15, 2009.
1 Higgs Self-Coupling Analysis – How To Tim Barklow SLAC October 25, 2007.
David Attié Club ‘ILC Physics Case’ CEA Saclay June 23, 2013 ILD & SiD concepts and R&D.
Mokka and integration of the geometry AIDA kick-off meeting WP2 session: Common software tools 17 February 2011 – CERN Paulo Mora de Freitas and Gabriel.
Ties Behnke: EU-LC Simulation and Reconstruction 1 EU-LC Simulation & Reconstruction Full simulation systems: status report The next steps: where do we.
ALCPG09 Albuquerque, The new geometry of the ILD muon system in MOKKA N. D’Ascenzo, V. Saveliev, Obninsk State University / DESY U. Schneekloth.
Implementation of BeamCal in Mokka Alexandra Popescu, Aura Rosca West University of Timisoara FCAL Collaboration Meeting 6-7 May, Krakow, Poland.
ALCPG October 25 th 2007 Hans Wenzel Calorimetry in slic How-to Motivation for dual readout Calorimeter What are our requirements Why did we choose SLIC.
ALCPG Simulation Status and Plans ACFA LC Workshop, Taipei Nov. 10, 2004 Norman Graf (SLAC)
Precise Measurements of SM Higgs at the ILC Simulation and Analysis V.Saveliev, Obninsk State University, Russia /DESY, Hamburg ECFA Study Workshop, Valencia.
BeamCal Simulations with Mokka Madalina Stanescu-Bellu West University Timisoara, Romania Desy, Zeuthen 30 Jun 2009 – FCAL Meeting.
Silicon Tracking Systems in Mokka Framework Valeri Saveliev, Obninsk State University.
Summary of Simulation and Reconstruction Shaomin CHEN (Tsinghua University)  Framework and toolkit  Application in ILC detector design Jupiter/Satellites,
CHEP06, Mumbai-India, Feb 2006V. Daniel Elvira 1 The CMS Simulation Validation Suite V. Daniel Elvira (Fermilab) for the CMS Collaboration.
ALCPG Software Framework Overview & Updates Jeremy McCormick, SLAC SiD Group ALCPG 2009.
Si Tracking Software ILD Software Meeting, 27 January 2010 Ecole Polytechnique, Palaiseau, France Winfried A. Mitaroff HEPHY Vienna, Austria Si Tracking.
1 Using Jupiter and Satellites Akiya Miyamoto KEK Jan 2006.
Lcsim software: status and future plans ECFA-LC DESY May 28, 2013 Norman Graf (for the sim/reco group)
SiD Snowmass 05 Jaros1 Optimizing SiD getting from here….……………….to there SiD Concept/Snowmass August 16, 2005 John Jaros.
25 Oct 2007Jeremy McCormick, ALCPG MC1 ALCPG Monte Carlo Framework.
Plans for a Simulation Study of the Magnetic Field Requirements of the LC TPC February 2006, ILC TPC Analysis Jamboree, DESY Christian Hansen University.
Ties Behnke: Event Reconstruction 1Arlington LC workshop, Jan 9-11, 2003 Event Reconstruction Event Reconstruction in the BRAHMS simulation framework:
Calorimeter Simulation Infrastructure Norman Graf Arlington ‘03.
1 Software tools in Asia Akiya Miyamoto KEK 18-March-2005 Simulation and Reconstruction Session LCWS2005 Representing acfa-sim-j activity M.C.Chang 1,K.Fujii.
Mokka, main guidelines and future P. Mora de Freitas Laboratoire Leprince-Ringuet Ecole polytechnique - France Linear collider Workshop 2004, Paris.
DD4hep-Based Simulation Nikiforos Nikiforou CERN/PH-LCD ILD Meeting 2014 Oshu City, September 9 th, 2014.
07/24/07 Francisco Carrion OPTIMIZING THE TRACK DETECTOR Francisco Javier Carrión Ruiz Mentor: Hans Wenzel 07/08/09 SID CONCEPT FOR THE INTERNATIONAL LINEAR.
1 Software tools for GLD Studies Akiya Miyamoto KEK 25 May, 2005 at IHEP Based on acfa-sim-j activity.
Pavel Nevski STAR analysis meeting October 22, 2002 Status of STAR Detector Simulations Pavel Nevski BNL Standard setup Standard setup New detectors Next.
12/20/2006ILC-Sousei Annual KEK1 Particle Flow Algorithm for Full Simulation Study ILC-Sousei Annual KEK Dec. 20 th -22 nd, 2006 Tamaki.
Slic A Geant4-based detector simulation package Jeremy McCormick, Norman Graf, Ron Cassell, Tony Johnson SLAC June 8, 2006.
MOKKA - recent developments Gabriel Musat, L.L.R. – Ecole Polytechnique.
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
VLCW06, July 23, 2006 H.Weerts Vancouver, CA 1 Where YOU can contribute in SiD. H.Weerts Argonne National Lab for SiD concept design study.
Eunil Won/Korea U1 A study of configuration for silicon based Intermediate Trackers (IT) July Eunil Won Korea University.
CMOS Pixels Sensor Simulation Preliminary Results and Plans M. Battaglia UC Berkeley and LBNL Thanks to A. Raspereza, D. Contarato, F. Gaede, A. Besson,
Goals and requirements 1 st flexible geometry version Next geometry version development Conclusions and outlook A realistic and flexible VTX geometry in.
1 SLAC simulation workshop, May 2003 Ties Behnke Mokka and LCDG4 Ties Behnke, DESY and SLAC MOKKA: european (france) developed GEANT4 based simulation.
Geant4-based detector simulation activities at NICADD Guilherme Lima for the NICADD simulations group December 2003.
Data Model: LCIO to LCIO2.0 Norman Graf (SLAC) ILC-CLIC Software, CERN May 28, 2009.
16 August 2005 SiD Snowmass 05 M. Breidenbach 1 SiD Expectations from the Design Study –Motivation –What We Need! –Technical efforts –Status.
GenFit and RAVE in sPHENIX under Fun4All
PFA Study with Jupiter Contents : 1. Introduction 2. GLD-PFA
GEANT4 for Future Linear Colliders
CEPC Detector Geometry Design & Validation
ILD Technical Coordination
100th meeting Ties Behnke, DESY
Layout of Detectors for CLIC
SiD Calorimeter R&D Collaboration
CLIC detector at SiD meeting 28/3/2010
Studies with PandoraPFA
The Compact Muon Solenoid Detector
Gabriel Musat L.L.R. – Ecole polytechnique
Silicon Tracking with GENFIT
Linear Collider Simulation Tools
Simulating the Silicon Detector
Project Presentations August 5th, 2004
Detector Optimization using Particle Flow Algorithm
ZHH: Linear collider Benchmark
MUC simulation and reconstruction
Use of GEANT4 in CMS The OSCAR Project
Linear Collider Simulation Tools
Simulation Tools for CepC Detector
Sheraton Waikiki Hotel
Presentation transcript:

Implementation of the Different Detector Concepts in Mokka Simulation Framework Snowmass August 2005, DESY Valeri Saveliev Obninsk State University / DESY, Hamburg

August 2005Valeri Saveliev, Snowmass 052 ILC Detector Concepts LDCGLDSiD Zh ->ll+h - Precise momentum Resolution, Br h ->bb,cc,gg - Excellent Vertex/Flavor Identification, Zhh ->qqbbbb - Excellent Calorimetry, Particle Flow Algorithm, h - Excellent Hermeticity, Missing Mass Resolution, a lot of other physics

August 2005Valeri Saveliev, Snowmass 053 ILC Detector Concepts LDCGLDSiD How we can perform an analysis and optimization of the Detector Concepts ? Answer: Monte Carlo analysis and even better compatible Monte Carlo frame What is the critical difference in the Detector Concepts ?

August 2005Valeri Saveliev, Snowmass 054 ILC Detector Concepts LDCGLDSiD Vertex Detector Si technology, geometry is practically the same Intermedia and Forward TrackingSi technology, geometry is practically the same Main TrackerTPC + Add Si Trackers Si technology TPC + Calorimetry EM:W/Si technology Had: Fe/Sc technology, Crystal Muon system Two key points: Size of Detector and technology of Main Tracker

August 2005Valeri Saveliev, Snowmass 055 ILC Detector Concepts Solenoid Cost in M$ as function of Radius Low material budget, Robustness, Easy to build and to work with, Low cost

August 2005Valeri Saveliev, Snowmass 056 ILC Detector (LCD) TPC vs Silicon Main Tracker

August 2005Valeri Saveliev, Snowmass 057 ILC Simulation Frameworks LDC GLDSiD BRAHMS (G3) MOKKA (G4) Geometry MySQL DB Output is in LCIO JUPITER(G4ROOT) Geometry ROOT or DB Output is in LCIO SLIC (G4) Geometry GDML Output is in LCIO How we can make an analysis of the Detector Concepts ?

August 2005Valeri Saveliev, Snowmass 058 ILC Simulation Frameworks LDC GLDSiD BRAHMS (G3) MOKKA (G4) Geometry MySQL DB Output is in LCIO JUPITER(G4ROOT) Geometry ROOT or DB Output is in LCIO SLIC (G4) Geometry GDML Output is in LCIO Best way to get one Simulation Framework – hope in future… Using all of this frameworks and try to comparison – present situation… To get framework with different detector concepts and unify output to Reconstruction and Analysis framework…

August 2005Valeri Saveliev, Snowmass 059 Unification of ILC Simulation Frameworks Work is going on for the translation of the XML to MySQL Simulation Frameworks Geometry Description Problem # MySQL dump 8.13 # # Host: flc23 Database: ecal02 # # Server version log # # Current Database: ecal02 # CREATE DATABASE /*!32312 IF NOT EXISTS*/ ecal02; USE ecal02; # # Table structure for table 'barrel' # CREATE TABLE barrel ( barrel_phi_offset float(10,4) default NULL, inner_radius float(10,4) default NULL, staves_gap float(10,4) default NULL, modules_gap float(10,4) default NULL ) TYPE=ISAM PACK_KEYS=1; # # Dumping data for table 'barrel' # INSERT INTO barrel VALUES (0.0000, ,2.0000,1.0000); <calorimeter name="CalNP" (1) hitsCollectionName="CalHitsA" ecut="0.25" eunit="MeV" verbose="0"> <gridXYZ gridSizeX="5.0" gridSizeY="5.0" gridSizeZ="0.0" lunit="mm"/> <calorimeter name="CalPrj" (2) hitsCollectionName="CalHitsB" ecut="0.25" eunit="MeV" verbose="0"> <calorimeter name="CalPrjZ" (3) hitsCollectionName="CalHitsC" ecut="0.25" eunit="MeV" verbose="0"> LDC Mokka MySQL SiD SLIC GDML

August 2005Valeri Saveliev, Snowmass 0510 ILC Simulation Frameworks Geometry Problem Mokka up to now has more Detailed Geometry Description Necessary the mechanism of scaling Different Main Tracker Concepts Framework with different detector concepts and unified output to Reconstruction and Analysis framework

August 2005Valeri Saveliev, Snowmass 0511 ILC Simulation Frameworks (Mokka) MOKKA Detector scaling on a few key parameters is implemented Thanks to a new CGA geometry building schema is able to automatically scale the detector devices depending on some key parameters. This new schema is called "super drivers" in Mokka. In this release six new super drivers are available (see Mokka Manual). The available key parameters are registered in the table parameters of the models03 database, with a description and a default value. The default values for the key parameters are overwritten by the default values found in the model_parameters, if a model-parameter association is found in this table. The default values for the key parameters can still be overwritten by: - using a pre-existing setup in the database which sets a set of parameters-values pairs and/or - the new /Mokka/init/globalModelParameter command. The new /Mokka/init/globalModelParameter command: no matter the values storage in the database, the user can change the detector scale just inserting a set of /Mokka/init/globalModelParameter commands in the steering file.

August 2005Valeri Saveliev, Snowmass 0512 ILC Simulation Frameworks (Mokka) SiD detector concept is implemented by using: The calorimeters and so on from LDC, Main Silicon Tracker from SiD, with all parameters adapted the best possible to agree with all the current SiD proposal. The Magnetic Field is set to 5.0 tesla. Two models - SiD01 and SiD02 are compose both by the following drivers: | sub_detector | | SiDFwd00 | SiDBar00 | tubeSiD01 | vxdSiD00 | ftdSiD00 | | SEcal01 | SHcal01 | SCoil01 | SYoke01 | SField01 | SiDBar00 implements the Si Tracker barrel and SiDFwd00 the Si Tracker end caps. tubeSiD01, vxdSiD00 and ftdSiD00 are LDC devices adapted for the SiD dimensions. ftdSiD00 works as the Si VDX disks for these models. SiD Detector Concept (main Silicon Tracker) is implemented

August 2005Valeri Saveliev, Snowmass 0513 ILC Simulation Framework (Mokka) SiD in Mokka hZ –>bbbar+qqbar SiD Concept in Mokka Simulation Framework

August 2005Valeri Saveliev, Snowmass 0514 ILC Simulation Framework (Mokka) GLD Concept in Mokka Simulation Framework Scaling fits for first analysis

August 2005Valeri Saveliev, Snowmass 0515 LDC Geometry with SILC in MOKKA Ext. FWD Ext Barrel Int. Barrel+FWD Compact TPC (40 cm shorter in Z, 10 cm in radius) Internal Barrel (Si-Strip) Internal Forward (Si-Strip) External Barrel surraunding TPC External Forward Tracker (Si- Strip)

August 2005Valeri Saveliev, Snowmass 0516 LDC Detector + SILC Silicon Trackers (Detailed Description) LDC Geometry with SILC in MOKKA Ext. FWD

August 2005Valeri Saveliev, Snowmass 0517 ILC Simulation Frameworks LDC Mokka ttbar-> 6jets

August 2005Valeri Saveliev, Snowmass 0518 ILC Simulation and Analysis Frameworks LDCGLDSID Connection to the Reconstruction and Analysis Frameworks Optimization of the different ILC detector Concepts