KENTROS software update KENTROS working group Talk by Bruno Golosio FIRST analysis meeting 12/04/2012
Recent work Charge equalization complete Z discrimination complete Macros organized in svn subdirectories Added new class for high level rec. in kentros framework High level rec. implemented in a macro (as RecoTools) Approx. energy deposit from charge calibration Kinetic energy from energy deposit implemented
New HL rec. class “TAKErecTrack” Main member variables: TAKEcalibHit hit1 (also hit2 when the track intersects 2 modules) : Equalized/calibrated hit data (module id, charge, time, etc.) TAKEtrack track: geometrical information about the track x0, y0, z0, ux, uy, uz from VTX/BM reconstruction Length of the intersection with kentros module(s) Ed: energy deposit (using temporary calibration parameters) Z: atomic number Double_t EkDep: kin. energy evaluated from Ed Double_t EkBeta: kin. energy evaluated from TOF (not done yet) time: relative to SC, corrected for TDCs fluctuations Time walk correction and t0 not yet implemented scintPath1 (also eventually 2): scintillation light pathlength
KENTROS High level reconstruction macros in first/rec/trunk/macro/kentros/hlreco: KentrosHlReco.C For each production root file produces an output root file containing the reconstructed tracks on kentros KentrosHlHisto.C Template macro for extracting distributions from reconstructed tracks This is the main macro that should be used for kentros high level data analysis
Time/energy deposit intercalibration with TOFWall On Kentros: Select reconstructed tracks hitting the small endcap with Z = 2 , qlim< q < 5.5° For each track evaluate intersection thickness Distribution of equalized charge and time relative to SC On TOFWall Match hits to tracks from VTX/BM Select tracks with Z = 2 , 5.5°< q <qlim Distribution of deposited energy and time flight
Current activities/next steps Time/Energy deposit intercalibration with TOFWall D. Nicolosi, C. Agodi, B. Golosio, P. Oliva (from kentros side!) Check matching with VTX/BM, angular distribution for Z=1 and 2, implement geometry with TAGgeoTrafo class P. Oliva, V. Sipala Efficiency on protons vs gain, saturation on alpha vs gain, geometrical efficiencies, distribution correction strategies A. Brunetti Time walk correction (evaluate run per run for each module) D. Nicolosi, B. Golosio FUTURE WORK: Adapt MC version of the software to make it more close to the experiment (B. Golosio)