RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis High Level Trigger Studies for the ATLAS Detector Efstathios (Stathis) Stefanidis University College London
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis OUTLINE The ATLAS Detector : Overview. The Trigger System. i.Overview. ii.High Level Trigger. Performance Studies. i.IDScan. ii.e/γ vertical slice. iii.RoI size. Future Plans.
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis The ATLAS Detector: Overview. 1.pp colliding beams 14 TeV c.m. energy. 2.Design Luminosity: L =10 34 cm -2 s Three Parts: a)Inner Detector b)Calorimeter (EM – HAD) c)Muon Spectrometer 4.Magnet System: a)Solenoid: 2 T b)Toroid: 0.4 T
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis The Trigger System: Overview. 1.LVL1: 40 MHz 75 kHz < 2.5 μs Hardware trigger Reduced granularity information 2.LVL2: 75 kHz 2 kHz 10 ms Full granularity information from both ID and Calorimeter RoI mechanism 3.Event Filter (EF): 2 kHz 100 Hz 2s Sophisticated algorithms Alignment data available High Level Trigger (HLT)
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis The Trigger System: HLT. RoI mechanism (i) Defines the area where HLT will start from. (ii) Seeded by LVL1 (iii) Only the data needed are transferred MINIMISE THE PROCESSING TIME AND NETWORK TRAFFIC ObjectsSelection Signatures Physics Coverage Electrone25i, 2e25iHiggs (SM, MSSM), new gauge bosons etc Jetj400, 3j150SUSY, compositeness, resonances etc. 1.Event Selection Strategy: Signature validation Checks for signatures coming from interesting physics events REJECT UNINTERESTING EVENTS VERY EARLY
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis The Trigger System: HLT. 2.Event Selection Software: ATHENA (i)Written using GAUDI architecture (ii)Provides common services (Transient Data Store, Histograms, Auditing etc) (iii)Well-defined interface not only to developers but also to the end-users IMPROVE COHERENCY OF THE DIFFERENT SOFTWARE DOMAINS IDScan (i)LVL2 track reconstruction algorithm (ii)SPACE POINTS as input – Track parameters as output (iii)Runs several times per event and once per RoI
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis Performance Studies: IDScan. Pattern Recognition AlgorithmsLow Luminosity High Luminosity IDScan (89.0 ± 0.4) %(82.9 ± 0.5) % xKalman (88.9 ± 0.4) %(84.0 ± 0.5) % iPatRec (87.2 ± 0.4) %(82.2 ± 0.5) % |p T gen – p T rec |<15 GeV |η gen – η rec |<0.01 |φ gen – φ rec |<0.01 rads
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis Performance Studies: e/γ slice. Determine selection efficiencies and rates at each Trigger Level. Apply isolation, energy, tracking matching etc cuts. Trigger Level % Efficiency w.r.t LVL1 Rate LVL kHz LVL2Calo kHz LVL2ID Hz LV2IDCalo Hz EFCalo Hz EFID Hz EFIDCalo Hz Electron selection W eν e sample 22.5 GeV
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis Performance Studies: RoI size. How is the RoI constructed? Take the information from LVL1 Calo : (η,φ) of the active region. The η coordinate is calculated w.r.t to z=0 Construct the shape of the RoI: z=0 ± 168 mm ( 3 of the beam spread) η ± 0.1 φ ± 0.1 rad Motivation? Optimize the size of the RoI. Less Space Points. Less Combinatories. Quicker Algorithms. Improve efficiency. Implementation? Use the shower position at the 1st and 2nd EM sampling.
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis Performance Studies: RoI size. Z vertex resolutionPhi vertex resolution Theta vertex resolution σ_low = cm σ_high = cm σ_low = mrad σ_high = mrad σ_low = mrad σ_high = mrad
RAL Summer School September, 2004 Efstathios (Stathis) Stefanidis Future Plans. Performance Studies IDScan : Optimize the size the RoI e/γ analysis : Improve, validate, optimize the cuts Physics Studies Low Mass Higgs (m H <150 GeV) H γγ H bb Study the full production/simulation/reconstruction chain.