LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 The LiC Detector Toy A mini simulation and track fit program tool for fast and flexible detector.

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LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 The LiC Detector Toy A mini simulation and track fit program tool for fast and flexible detector optimization studies M. Regler, M. Valentan, R. Frühwirth Austrian Academy of Sciences, Vienna

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Motivation Compare track parameter resolutions of various detector setups (at present only in the „barrel region“); Optimize size and position of track sensitive devices and of detector material budgets; A simple tool easy to understand, handle and modify; Can easily be adapted to meet individual needs; Can be installed on a desktop or laptop PC; Quick results by „shorter than a coffee break“; Live demonstrations at a conference possible; Graphics visualisation interface planned in future release.

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 General Program Features Written in MatLab (a language and IDE by MathWorks); At present support for coaxial cylinder layers („barrel“) only; „forward region“ planes in next release; Arbitrary length and position of the layers; Inclusion of any number of passive layers; Measurements of two coordinates: one for azimuth RΦ, one along the cylinder (z) for pixels or a TPC; Arbitrary stereo angle (z‘ instead of z) for strips; Inefficiencies uncorrelated (strips) or correlated (pixels); Resolutions of a TPC Gaussian, and may depend on z.

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Specific Program Features Simulation: –Single tracks originating from a vertex, assumed at (0, 0, z); –Solenoid magnetic field, rotational symmetry w.r.t. z-axis; –Cylinders grouped in 3 modules with any number of layers; the 3 rd module being either a TPC, or empty; –Exact helix track model, including kinks for multiple scattering; –Multiple scattering at discrete layers: correct path length traversed, material budget averaged over whole layer, scattering angles Gaussian distributed (in the track‘s local coordinate frame) according to the Highland formula; –Gaussian (TPC) or uniformly distributed measurement errors; –Systematic and/or stochastic inefficiencies included.

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Specific Program Features Reconstruction: –No PR; track fit by exact Kalman filter with inclusion of multiple scattering (process noise), fitting from outside inwards; –Linear track model: expansion point is a reference track (method similar to that of the DELPHI experiment). Parameters: –Fitted parameters defined at the inside of the innermost layer; –DELPHI-like parameter vector and error matrix: { Φ, z, θ, β = φ-Φ, κ = ±1/R H } with sign(κ) = sign(dφ/ds), and corresponding 5x5 covariance matrix; –Optional CMS-like Cartesian parameters and errors: { x, y, z, p x, p y, p z } with a 6x6 covariance matrix of rank 5.

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Sample Detector Setup Inspired by the LDC concept with „Paris“ TPC (scale units in m)

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Corresponding Input Sheet 01 LiC Detector-Toy (barrel) 02 Default Input Sheet Vertex Detector (VD) Number of layers:6 07 Radii [mm]:14,15,26,37,48,60 08 Upper z limit [mm]: 3000, 50, 120, 120, 120, Lower z limit [mm]:-3000,-50,-120,-120,-120, Efficiency RPhi:0,0.9,0.9,0.9,0.9, Efficiency 2nd:-1 12 Stereo angle alpha [Rad]:pi/2 13 Thickness [rad. lengths]0.14,0.05,0.05,0.05,0.05, Error distribution: normal sigma(RPhi) [1e-6m]: 16 sigma(2nd) [1e-6m]: 17 1 uniform d(RPhi) [1e-6m]:25 18 d(2nd) [1e-6m]: Inner Tracker (IT) Number of layers:5 23 Radii [mm]:90,90,160,300, Upper z limit [mm]: 110,-90, 360, 640, Lower z limit [mm]: 90,-110,-360,-640, Efficiency RPhi:0,0,0.9,0.9,0 27 Efficiency 2nd:-1 28 Stereo angle alpha [Rad]:pi/2 29 Thickness [rad. lengths]:0.14,0.14,0.0175,0.0175, Error distribution: normal sigma(RPhi) [1e-6m]: 32 sigma(2nd) [1e-6m]: 33 1 uniform d(RPhi) [1e-6m]:50 34 d(2nd) [1e-6m]:50 36 Time Projection Chamber (TPC) Number of layers: Radii [mm]:362, Upper z limit [mm]: Lower z limit [mm]: Efficiency RPhi: Efficiency z: Thickness [rad. lengths]: sigma1(RPhi) [1e-6m]:50 46 sigma2(RPhi) [1e-6m]:40 47 sigma1(z) [1e-6m]: sigma2(z) [1e-6m]: Start parameter range Transverse momentum [GeV/c]:5,20 53 Angular range in theta [Rad]:pi/4, 3*pi/4 54 Range in z [mm]:0, Flags (0 disabled, 1 enabled) Sketch of arrangement:0 59 Simulation:1 60 Multiple scattering:1 61 Measurement errors:1 62 Reconstruction:1 63 Tests:1 64 Chi2:1 65 Display bad pulls:0 66 Pulls histograms:1 67 Residuals histograms: Number of tracks:1000

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Results: Pull Quantities

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Results: MC Residuals Note: λ = π/2 - θ

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Summary of various setups and λ parameter regions

LiC Detector Toy ECFA-ILC WorkshopValencia, November 2006 Subsequent Vertex Fit Fitted tracks as input to the VERTIGO/RAVE toolkit; Interface is the Harvester‘s standard CSV format; Successfully tested with 10- and 1000-prong events. References ==> Fast Simulations ==> LiC Detector Toy (permanently kept up-to-date); LiC_Det_Toy/UserGuide.pdf (User Guide); LiC_Det_Toy/UserGuide.pdf Forthcoming visit of M. Valentan in Valencia (last week of Nov. 2006).