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Simulation Tasks  Understanding Tracking  Understanding Hardware

Simulation Tasks  Understanding Tracking  Understanding Hardware. Two types of tasks: Implementing known functions in ATLAS framework Understanding their limits  new algorithms  understanding hardware We need a new training:

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Simulation Tasks  Understanding Tracking  Understanding Hardware

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  1. Simulation Tasks  Understanding Tracking  Understanding Hardware • Two types of tasks: • Implementing known functions in ATLAS framework • Understanding their limitsnew algorithms  understanding hardware • We need a new training: • Too many pairs of close-hits  software problem?  good to go to V12 • Too many pairs of near-hits  2nd pixel layer will help. Now is missing • Too many pairs of near-hits  clustering/space point problem? Stop space point use? Dump raw hits, now they are missing • The more tracking users we have  the more we understand about detector/FTK. Meena work is a good example, very useful work, weak points found. Area (b) could be shared by CMS-ATLAS.

  2. FTKsim/FTK STATUS summary • FTKsim efficiency/resolution is similar to Ipatrec efficiency/resolution BUT… • Long story about reducing RW-Ghosts (~Done in Pisa): • RW-Ghosts due to overlap regions solved with new digitization of training samples in Pisa. Detectorinefficiency and noise turned off as much as possible (to our knowledge). • Selective RW balanced by a track fitter that performs all the 5/6 fits if the 6/6 fit doesn’t pass the c2 cut. • Long story about reducing duplicated tracks, generic ghosts (in progress in Pisa): • Many tracks too near (used z, phi, eta, Pt to judge the distance - not IP) • How to replace the Ghost Buster function inside SVT (duplicate clean up)? • Hit Warrior under test  least c2if many tracks share 10-8 meas. over 12 • HW works inside a road, should work on roads that differ for 1 SS ?

  3. WHAT COULD BE DONE IN PARALLEL-1FTKsim V12 GO TO V12 – New FtkSimWrap – New training (yellow box) Pattgen: creates patternbank Corrgen: generates fit costants Ftksim – simulation training Francesco Crescioli

  4. WHAT COULD BE DONE IN PARALLEL-2FTKsim V12 (a) has the highest priority!! • Update FtkSimWrap to produce from Athena V12FTKsim input file format • Activate the 2nd pixel layer and dump all the layers • Dump raw hits (R-PHI Layers and stereo Layers) in addition to space points • Ipatrec Dump: is it possible to run IpatRec without TRT information? • Study again FTK performances on fakes using raw hits: • Not use any clustering and use only clean up after TF. Processing time? Track resolution? • Develop & include in FTKsim an FTK clustering algorithm thinking to the hardwareimplementation (DATA-FORMATTER in the next slide)? • Which is the pattern bank (road) size ? Inside the proposal: Which layers (& how many)? We know now it is better to reject the central ones. Which is the impact on fakes and processing time?

  5. Inside Fast-Track ~75 9U VME boards – 4 types Pixels & SCT PIPELINEDAM + RW overlap regions EVENT # 1 RODs EVENT # N NEW 50~100 KHz event rate AM-board HITS Data Formatter (DF) DO-board S-links SUPER BINS DATA ORGANIZER GigaFitter exGB: Hit Warrior? ROADS cluster finding split by layer ROADS + HITS 2nd step: track fitting ~Offline quality Track parameters Raw data ROBs Track data ROB

  6. WHAT COULD BE DONE IN PARALLEL-3use FTKsim • We planned to study the signal of each physics case on the full simulation. • This means to see FTKSIM performances for: • Bs  mm (done for V10-Francesco-Guido – redo it for V12) • uu, bb jets from SM WH (done for V10-Meena-Guido – redo it for V12) • taus ? • energetic u-b-jets? Supersymmetric Higgs at high masses? • other samples? • Different samples could require different FTK features ! • Taus or energetic b-jets can be more demanding than WH events ! • Produce new Physics samples and simulate FTK !

  7. CONCLUSIONs: work in parallel with Pisa that continues to optimize algorithms • HIGH PRIORITY: Link FTKsim with Athena V12 • Study FTKsim performances on different samples and give back informations to Pisa. • Developing FTK private clustering? • Study FTKsim as a function of possible options (which/how many layers…, clustering y/n…, which algorithms…). Give back informations to Pisa.

  8. Ghost handling Plan • Problems now: • Deletion of 5/6 by RW when a 6/6 is available produces small inefficiencies if the 5/6 was the real track reject all 5/6 and do 7 fits in parallel (6/6 and all 5/6 combination) to choose the best c2 • Deletion of 5/6 by RW not possible if the empty strips belong to different sectors • Training tracks passing through the overlap region producing many Ghost patterns not identified by the RW. Reduce the ghosts of type 2 due to overlap regions, generating a single pattern,

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