LCWS06 Bangalore 13/3/06Mark Thomson 1 Software/Simulation Summary Mark Thomson University of Cambridge This Talk:  Why, oh why ?  Frameworks/Tools 

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Presentation transcript:

LCWS06 Bangalore 13/3/06Mark Thomson 1 Software/Simulation Summary Mark Thomson University of Cambridge This Talk:  Why, oh why ?  Frameworks/Tools  PFA where art thou ?  Outlook

LCWS06 Bangalore 13/3/06Mark Thomson 2  Why oh why ? Perhaps more importantly:  Working towards detector DCR by the end of 2006  Desire full simulation/full reconstruction detector performance studies  3 out of 4 detector concepts choose high granularity calorimetry (i.e. high cost) for particle flow  NEED to be convinced that Particle Flow paradigm is correct  For Detector DCR must try to demonstrate the PFA can be made to work for current concepts  Only(?) evidence that it can be made to work are “old” TESLA studies (LC-PHSM )  For DCR repeating/validating these studies with current detectors must be a very high priority

LCWS06 Bangalore 13/3/06Mark Thomson 3 So PFA Matters – what matters for PFA ? Everything ! + all mistakes made in PFA algorithm e.g. Perfect Particle Flow (see P. Krstonosic Vienna ECFA meeting) To be reviewed e.g. e + e -  Z  qq at 91.2 GeV (assumed sub-detector resolutions: ECAL 11%/√E, HCAL 50%/√E +4%) FORWARD REGION TRACKING HCAL RESOLUTION  PFA is delicate - it needs realistic studies: simulation + tracking + clustering

LCWS06 Bangalore 13/3/06Mark Thomson 4 So where are we as of LCWS06 ? See talk of T.Behnke Full GEANT Simulation Reconstruction Framework Geometry/Data Format+.. Fast Simulation +reconstruction… Much duplication of work Currently Software highly tied to concepts/region Given the lack of resources, this is an unfortunate position Difficult to see change in short-term, but we should try….  Software Framework s /Tools

LCWS06 Bangalore 13/3/06Mark Thomson 5 Reconstruction Software Digitisation Track Finding/Fitting Calorimeter Clustering Particle Flow Data  A lot already exists  These are serious reco. algorithms e.g. N.Sinev’s talk:  Ported SLD weight matrix fitter to JAS ILC framework  Although not quite finished it is a nice piece of work  BUT tied to US JAVA-based framework

LCWS06 Bangalore 13/3/06Mark Thomson 6 simulated digitized Another new example :DigiSim See V.Zutshi’s talk  Detailed and very general programme to turn raw MC hits into digitised hits including cross-talk/noise etc.  Both a JAVA (JAS) and C++ (MARLIN) version exist  BUT writing for 2 frameworks = extra work e.g. HCAL response to muons Overall : Real progress from Snowmass to LCWS06 !

LCWS06 Bangalore 13/3/06Mark Thomson 7 IV th Concept Reconstruction C.Gatto Event display: e + e -  HZ  X +  -  Impressive progress : expect first performance results soon LCWS06:  Huge amount of progress on IV th detector concept reconstruction and simulation  Based on existing, well supported tools : e.g. ROOT  IV th concept often criticised for lack of full simulation demonstration of concept

LCWS06 Bangalore 13/3/06Mark Thomson 8  PFA where art thou ?  PFA paradigm central to GLD, LDC, SiD, concepts PFA challenges: (Para) NOT THERE YET ! BUT: Real progress being made with PFA : % of talks in LCWS06 software session related to PFA Progress, but some way to go…. 6 months ? 1 year ? Longer ?  Many challenges (Adam Para gave an interesting summary)  HARDEST (?) : separation of neutral and charged hadrons Hadronic Shower Track Neutral ? Irreducible problem ? Gets worse with higher particle density i.e. higher jet energy/boost So far PFA mainly tested on Z NOT A GOOD TEST Para Challenge: Case of bottles of (moderately good) wine for a demonstration of 0.3/√E resolution for ZH events at √s=500 GeV

LCWS06 Bangalore 13/3/06Mark Thomson 9 V.Morgunov LDC00 Break even point  PFA is extremely complex  Can “achieve” worse performance c.f. pure calorimetric measurement IF PFA performance worse than these values – it is making things worse VERY useful sanity check

LCWS06 Bangalore 13/3/06Mark Thomson 10 PFA in GLD Charged Track Calorimeter input position Hit Cells distance ECAL HCAL Extrapolated Track Tube Radius T.Yoshioka Philisophy: PFA Performance: Extrapolate track into CALO Construct tube Pick up hits Photon ID : classify remaining hits as from hadrons/photons Z  uds (91.2 GeV) “Barrel region” add in missing energy from centres peak at 91.2 GeV Decent performance: 38%/√E(GeV) BUT doesn’t yet work well for higher energies

LCWS06 Bangalore 13/3/06Mark Thomson 11 PFA in LDC Two reasonably well developed algorithms:  WOLFPFA [default] (Raspareza et al)  PandroraPFA (Thomson) Both Using MARLIN C++ framework Simulated Events Flexible framework Plug in reconstruction modules Almost complete reco chain exists Steering files drive analysis: i.e. swap different modules + change algorithm parameters Large events samples generated on GRID 0.5 M events different processes different detectors Basis to test LDC PFA performance O.Wendt

LCWS06 Bangalore 13/3/06Mark Thomson 12 Wolf Results NOTE: Z  qq and Z  l + l - B=3 Tesla R=1380R=1580R=1690R=1890 LDC Tesla  First attempt at performance vs detector size  No significant dependence of jet energy resolution  BUT, DON’T YET TAKE TOO SERIOUSLY: Zs + could be just the algorithm O.Wendt

LCWS06 Bangalore 13/3/06Mark Thomson 13 Topological approach to PFA  Work from the premise that PFA is not a pure ECAL/HCAL clustering problem  PFA and calorimeter clustering performed together  Start by applying loose clustering  Then join clusters using topology  Algorithm defined by loose cluster finding + topological rules to join clusters M.Thomson

LCWS06 Bangalore 13/3/06Mark Thomson 14 Results : Z uds events Angular dependence  Plot resolution vs generated polar angle of qq system  In barrel : %/ √E(GeV) (LDC) (Tesla) (Tesla – older Mokka model) BUT doesn’t yet work well for higher energies

LCWS06 Bangalore 13/3/06Mark Thomson 15 SiD : PFA studies in US U.Mallik + V.Zutshi  Nearest neighbor clustering  MST clustering  Directed tree clustering  Density Weighted cluster algorithm  Fixed Cone cluster algorithm  Calorimeter track-segment finder  Track-MIP match  H-matrix (& others) for photon id  Neural networks  Neutral fragment identification and matching  and many others….. But many interesting ideas currently being investigated A lot of activity in US Work on 4+ distinct algorithms Still work in progress…. CLUSTERING CALO TRACKING CLUSTER IDENTIFICATION

LCWS06 Bangalore 13/3/06Mark Thomson 16 e.g. Work at ANL: Currently achieve: ~40%/√E(GeV)

LCWS06 Bangalore 13/3/06Mark Thomson 17  Conclusions and Outlook  Sophisticated Reconstruction vital to prove ILC detector concept paradigms (PFA or IV) Why ? Software Frameworks/Tools  Lots of progress worldwide  Both on frameworks and reconstruction tools  BUT… lack of shared software/frameworks isn’t helping  Lots of duplicated work !  E /E = %/√E(GeV)  Not bad, but this is only for Z at 91.2 GeV  But, don’t give up on PFA… good performance was achieved for Tesla TDR PFA where art thou ? Where next (personal view)?  Lots of activity worldwide  But not there yet (goal 30%/√E) ….  Full detector studies by end 2006  Not impossible… not helped by lack of shared effort  Detector concepts need to collaborate more effectively VERY CHALLENGING !

LCWS06 Bangalore 13/3/06Mark Thomson 18 Event display:e+e  H o Z o ->X +  -