sab 18.8.2008 jorma tuominiemi 1 hip cms programme highlights 2007- 2008 plans 2008- funding
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SAB 18.8.2008 Jorma Tuominiemi 2
HIP CMS PROGRAMME
CMS PHYSICS ANALYSIS PROJECT Project Leader: V.Karimäki
CMS TRACKER PROJECT Project Leader: Eija Tuominen
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1. PHYSICS ANALYSIS PROJECT
Physics simulation, study of the discovery potential of CMS, preparation for event reconstruction and physics analysis in CMS
CMS computing at HIP
CMS user support coordination
Software alignment of the CMS tracker
Test beam data analysis
GEANT4 simulation tools
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Project personnel
Veikko Karimäki, PhD Project Leader HelsinkiJorma Tuominiemi, Prof. Programme Director CERN/HkiRitva Kinnunen, PhD Senior Scientist HelsinkiKati Lassila-Perini, PhD Senior Scientist CERNSami Lehti, PhD Senior Scientist HelsinkiTomas Lindén, PhD Senior Scientist HelsinkiTapio Lampén, PhD PostDoc Scientist HelsinkiMikko Voutilainen, PhD PostDoc Scientist CERNAatos Heikkinen, MSc PhD Student HelsinkiMatti Kortelainen, MSc(Tech) PhD Student HelsinkiLauri Wendland, PhD Student HelsinkiPekka Kaitaniemi PhD Student Saclay
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Physics Analysis, Status and Plans
1. HIP responsability: Analysis of the H± -> , -> hadrons+ in fully hadronic channel from gg -> tbH± • Trigger development and tests • identification for one- and three prong ’s• Veto on leptons and hadronic ’s from associated W• b-tagging, top and W mass reconstruction• One of the most difficult channels to observe, and
maybe the only possibility to discover the charged Higgs boson
2. Tau energy corrections• With tracks and calorimeter information• Energy resolution excellently improved!
R. Kinnunen, M. Kortelainen S. Lehti, L.Wendland
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Physics Analysis, Status and Plans
3. Preparation for real data: studies for background measurements from data for 0.1 fb-
1
• Measurement of tt and W+3/4jet backgrounds from data with W-> decay modes• Method developed to measure the background due to MET mis-
measurement from data (isolated muon with pT>100 GeV/c selected instead of jet)
• Separation of events to tt and W+3/4jet samples with double b-tagging, top and W mass cuts (for tt events) and b-jet veto (for W+3/4jet events)
• Measurement of QCD background from data• Method developed to measure the QCD background due to MET
mis-measurement from data in the hadronic multi-jet events exploiting the determination of fakeprobability in the +jet or Z+jet, Z-> events
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Physics Analysis, Status and Plans
4. Continuation of the H/A->-> 2 jets analysis for a PhD work (LW)
5. Higgs boson searches in SUSY cascades withnon-universal gaugino masses
• Joint project with HIPphenomenologists
SUSY reach with non-universal gaugino masses and H/A/h -> bb decays in CMS
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Energy correction for jets with tracks
Developped for the collimated energetic one-prong jets (ET>100 GeV) from heavy charged Higgs boson in gg -> tbH±, H± -> , -> hadrons+
Principle of the method:•Separation of the ± and ±n decay modes and separation of the interacting charged pions testing matching between the track(s)/CALO cluster and track(s)/HCAL cluster•Replacing the CALO jet with the track(s) for non-interacting charged pions and adding the ECAL cluster for ±n •Keeping the CALO jet for the interacting charged pions
Energy resolution,comparison with CALO jetand Particle Flow jet
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dentification of jetfor H± -> , -> hadrons+
Event rate before and after identification for 1- and 3-prong final states. Suppression of ~105 achieved against QCD background!
Signal
QCD background
Fil
tere
d e
ven
t ra
te (
fb)
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dentification of jet for H± -> , -> hadrons+
• Kinematical cuts: ETjet > 100 GeV, |jet|<2
• Tight tracker isolation: track pT cut=0.5 GeV, signal cone = 0.04, isolation cone = 0.45• Electromagnetic isolation• 1-prong selection: - one track in the signal cone - pldg.trk./Ejet > 0.8 - neutral hadron and electron rejection with HCAL/track matching• 3-prong selection - 3 tracks in the signal cone - suppression of n0 decays with CALO cluster/tracks matching - p( ± ±) / Et-jet > 0.75 - cut on invariant mass - cut on flight path significance
Distribution , pldg.trk./Ejet sensitive to polarization
Distribution of invariant mass
3-prong jets
1-prong jets
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• Selection of events with one isolated muon with pT > 100 GeV, instead the jet
• Other selections: MET>100 GeV, veto on leptons and associated hadronic W-> decays• Separation of events to tt and W+3/4jet samples with double b-tagging, top and W mass cuts (for tt events) and b-jet veto (for W+3/4jet events)
Measurement of tt and W+3/4jet backgrounds from data with W-> decay
modesSignal for gg -> tbH±, H± -> , -> hadrons+ is visible in mT( jet,MET), provided the backgrounds from tt and W+3/4jet are limited to mT( jet,MET) ≲100 GeV
Method to measure the background due to MET mis-measurement from data with muonic multi-jet events:
Top and W mass reconstruction with kinematic fit with respect to jet energies Ei , one jet b tagged
mT(,MET) for the selected tt sample:events for mT(,MET) ≳100 GeV mainly fromrecidual associated hadronic W-> decays
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Method:•Selection of hadronic multi-jet events with at least one jet with pT
jet > 100 GeV•Assignment of one jet randomly as candidate•large MET > 100 GeV•b tagging, top and W mass reconstruction
Propagation to ”signal selection” multiplying with the fake probability
Measurement of QCD background from data
QCD multi-jet events can lead to background in the signal area mT( jet,MET) ≳ 100 GeV
through MET mis-measurement and through hadronic jets identified as jets
The background due to MET mis-measurement can be measured from data in the hadronic multi-jet events, measuring the fake probability in the +jet or Z+jet, Z-> events
mT( candidate,MET)
Events found in the signal area,more efficient MET correction methods under development
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HIP CMS Computing status
1. CMS Software and services
2. Resource usage
3. CSA08
4. Plans
5. Summary
T.Lindén
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1. CMS Software and servicesService
StatusCMSSW
OK local manual installation
https://twiki.cern.ch/twiki/bin/view/CMS/CMSSW_aptinstallerdCache
OK performance testing, xrootd versus gsidcap http://www.dcache.org/
PhEDEx OK Physics Experiment Data Exchange
http://cmsdoc.cern.ch/cms/aprom/phedex/Frontier
OK Open source squid web cache
http://frontier.cern.ch/squidstats/mrtgcms/hip/proxy-hit.htmlWLCG SAM
OK WLCG Site Availabilty Monitoring
CMS SAM SRM OK CMS SRM Site Availabilty Monitoring
https://twiki.cern.ch/twiki/bin/view/CMS/DashboardProdAgent
OK Monte Carlo Production ARC plugin is production ready
https://twiki.cern.ch/twiki/bin/view/CMS/ProdAgentCRAB
in use CMS Remote Analysis Builder http://cmsdoc.cern.ch/cms/ccs/wm/www/Crab/in use gLite WMS to ARC submission, working to fix scalabilityin useglideinWMS to ARC submissionin progress direct CRAB to ARC submission
JobRobot pending for site testing, needs VOMS roles
CMS SAM CE pending CMS CE Site Availabilty Monitoring, needs VOMS roles
CMSSW pending grid software installation jobs, needs VOMS roles
WLCG accountingpreparing Extract CMS SGAS information, inject into APEL (CSC)
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1. CMS Software and services (ctd)
The CMS Tier-1 and Tier-2 sites.
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2. Resource usage
Most of the physics analysis presented here was done using HIP Tier-2 resources
The CMS disk usage at CSC is about 70 % of the
available CMS quota of 110 TB
Data samples have been transferred for local analysis
use and for PhEDEx LoadTest bandwidth monitoring use
The summed CMS CPU wall time usage during April, May
and June 2008 was 58800 CPU hours
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3. Combined Computing Readiness Challenge
The Common Computing Readiness Challenge 2008 (CCRC) or CMS CSA08 was a Data Challenge simultaneous to all LHC experiments to test the grid infrastructure before datataking at the LHC.
Phase 1 of CCRC was in February and Phase 2 of CCRC was during May.
CSA08 Phase 1: Data transferred using PhEDEx (Physics Experiment Data Export) to Finland Data stored in dCache (siberie at HIP and madhatter at CSC) HIP Transfer targets were met
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3. Combined Computing Readiness Challenge
CSA08 Phase 2: Needed CMSSW versions installed and visible in BDII Needed datasample(s) transferred with PhEDEx HIP participated in the CMS CSA08 Analysis comissioning activities CRAB jobs were submitted from CERN as part of the ”chaotic
submission” exercise CRAB jobs were submitted to HIP from the US using the ”glideinWMS”,
see http://tinyurl.com/58fugq During CSA08 CMS could run up to 200000 jobs/day in total Tier-1 to HIP Tier-2 transfer tests were repeated with met targets. In total CMS transferred 3,6 PB of data in May with a total maximum
rate of 1,7 GB/s out of CERN
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3. Combined Computing Readiness Challenge
CRAB glideinWMS submitted jobs from the 30th of May until the 2nd of June.Sepeli is in the middle of the list
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4. Plans
The Nordic Optical Private Network is being set up (ping works to Denmark)
A new Linux cluster shared between Physics, Chemistry and HIP is being purchased to Kumpula
Plan 2009 aquisitions with HIP Technology programme and CSC Study dCache disk performance scalability Compare CRAB submission methods (CERN WMS, glideinWMS, native
ARC plugin) Study ARC performance with disk caching enabled Study PROOF on the clusters for parallell data analysis Study CRAB ARC to gLite submission possibility Work on obtaining funding from 2011 onwards
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5. Summary
HIP contributed to CSA08 activities with ARC resources
CRAB submission works with new CERN WMS and glideinWMS
Jobsubmission scaling problem with new CERN WMS is being worked on
VOMS roles will be implemented to enable remaining services
WLCG Accounting will be implemented HIP is ready for LHC startup
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AknowledgementsAntti Pirinen, HIP, project leaderDan Still, CSC, CSC project leaderTomas Lindén, HIP, grid coordinatorJukka Klem, HIP/CERN, PhEDEx, FrontierJonas Dahlbom, HIP, dCache supportChris Hanke, CSC, dCache supportArto Teräs, CSC, dCache supportVera Hansper, NDGF/CSC, Finnish Node coordinatorErik Edelmann, NDGF/CSC, ProdAgent ARC pluginDongJo Kim, JYFL, ALICE computingMikko Närjänen, HIP, Alice supportJesper Koivumäki, HIP, CRAB ARC portKalle Happonen, HIP/CERN, CSC, middleware supportPekko Metsä, HY, cluster administration in Kumpula
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CMS User Support by HIP
DocumentationCMSSW WorkBook Reference ManualCMS Offline Guide
Help desk Tutorials Savannah portal for user questions e-mail contact hypernews forums
Coordinated by Kati Lassila-Perini
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Track based alignment for CMS Tracker modules
Related task: update of misalignment simulation scenarios of CMS. An essential tool for realistic physics analyses for early data-taking.
Application activities of the H.I.P. alignment algorithm lately: Cosmic muons from TIF CSA08 exercise, application of all three alignment algorithms
Many CMS groups actively using the H.I.P. alignment algorithm: Johns Hopkins (3 people, CSA08 & CRUZET tests) Fermilab (J.Pivarski, muon chambers alignment) INFN (R.Covarelli et al., alignment at TIF, cosmics)
Strong cooperation between different groups!
Other two algorithms used in CMS are ‘Millepede’ and Kalman Filter algorithm. The H.I.P. algorithm is computationally simple, and it has the most robust approach. It has so far been used in most of the alignment studies in CMS, although Millepede, developed at Hamburg, has lately become at least equally popular.
T.Lampén, V.Karimäki
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CSA08, CRUZET, CRAFT (future) exercises
Dress Rehearsals of all three alignment algorithms and whole procedure of their application to real data
•Learning experience for startup of CMS•Matters of practical use now topical (track & hit selection, constraining unphysical deformations, validation process etc.)
Also alignment-related issues taking shape (triggers, data flow, validation etc.) HIP participation in CSA08, CRAFT foreseen
T.Lampén, V.Karimäki
First results for CRUZET3: hit residuals in TOB and TIB (N. Tran)
TOB residuals TIB residuals
Design geometry HIP
Millepede
RMS0.0410.0360.039
RMS0.0990.0560.052
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CMS Pixel
Near future work Studies/application of HIP
algorithm (and comparisons with other algorithms) with
real data from Cosmic Rack setup (CERN and Helsinki C-Racks)
test beam studies (SiBT)
other real (cosmic) data? Refinement of CSA08 alignment
exercise Alignment tasks for CMS
Tracker
Cosmic Rack
SiBT
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Test beam data analysis Alignment and full offline data
analysis of SiBT 2007 data SiBT 2008 data taking took place
in July, data analysis has just begun, in cooperation with the Tracker project
Provided software for data taking of 2008 and monitoring plots with a quick 5-minute response time (essential ingredient of success for the 4-day test period, during which CID, MCz and 3D-detectors were tested)
M.Kortelainen, T.Lampén
Beam profile in SiBT 2007
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CSA08, CRUZET, CRAFT (future) exercises
Dress Rehearsals of all three alignment algorithms and whole procedure of their application to real data
•Learning experience for startup of CMS•Matters of practical use now topical (track & hit selection, constraining unphysical deformations, validation process etc.)
Also alignment-related issues taking shape (triggers, data flow, validation etc.) HIP participation in CSA08, CRAFT foreseen
T.Lampén, V.Karimäki
Observed, possibly unphysicaldeformations of CMS Trackerwith CRUZET3 data (N. Tran)
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Geant4 activities (I)Geant4 Bertini intra-nuclear cascade models developed by HIP
group are now widely accepted when choosing optimal physics models for LHC
simulations. Use of Bertini model largely solve the problem seen in shower shape year
2007. Models developed play a major role in precision studies of LHC experiments.
Typically Bertini cascade is used in combination of high energy model QGSP in physics list QGS BERT
Latest improvements include optimization of speed in the CMS production runs, and more detailed Coulomb scattering model.
Our emphasis has been in developing new Geant4 models based on INCL cascade and ABLA fission-evaporation codes. First release of INCL 4.2 and ABLA V2 was made in Dec'07 release of Geant4
9.1. Currently we are working in collaboration with Commissariat à l‘Énergie
Atomique (CEA), Saclay, to include INCL5 extensions, such as Carbon projectiles into Geant4.
A.Heikkinen and P.Kaitaniemi with G.Folger et al.: Progress in Hadrornic Physics Modeling in Geant4 (Submitted to Journal of Physics, July 2008)
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Geant 4 activities (II)
CMS HCAL response (linearity) to protons. Test beam data from year 2006 brass (50mm) + scintillator (3.7mm) sampling is compared with Geant4 QGSP_BERT simulation.
HCAL resolution(Courtesy of S. Kunori)