CEA-Saclay G. De Lentdecker November 30 st 2011 o G. De Lentdecker Université Libre de Bruxelles Kalman Filter in MarlinTPC.

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CEA-Saclay G. De Lentdecker November 30 st 2011 o G. De Lentdecker Université Libre de Bruxelles Kalman Filter in MarlinTPC

CEA-Saclay G. De Lentdecker November 30 st MarlinTPC installation MarlinTPC is based on the Marlin framework: Based on LCIO data format Usage of successive « processors » One.xml file with the running parameters of each processor to steer Marlin Marlin provides interfaces to GEAR (geometry description) and LCCD (conditions data) Uses RAIDA (AIDA + ROOT) for histogramming + need additional packages: MySQL, CLHEP, Java, QT, etc. You need to install a lot of things. Fortunately the developers provide an installation python script: ilcinstall Despite this script it took me a while to find the right recipe to compile and link everything together: 32 vs 64bits, SL4 vs SL5 special ROOT versions used by CMS (my other experiment). Also helpful : Eventually I found the correct combination to work on CERN lxplus

CEA-Saclay G. De Lentdecker November 30 st Installation of Kalman Filter KalTest and KalDet are not installed by ilcinstall Fortunatelly it is well documented in MarlinTPC/reconstruction/README KalTest/README And so it is rather straightforward to install (once you have installed all the rest, of course)

CEA-Saclay G. De Lentdecker November 30 st Modifications to be done Note : the code has been developed by our Japanese colleagues and therefore it has been mostly tested with GEM modules => so a few numbers are hardcoded; examples : The number of rows in the class HelicalTrack.cc The algorithm to find pulses looks behind pad #72 in TopoFinder.cc

CEA-Saclay G. De Lentdecker November 30 st Before you run, you need: gear_ilc_lp_micromegas_single_module.xml Describes the geometry of a single micromegas module in LP TPCChannelMapping.slcio Provides the mapping in pad row and column Files provided by Jason Abernathy Old geometry (not for TB with new electronics)

CEA-Saclay G. De Lentdecker November 30 st Sequence: // Find the pulses in detector // Do the mapping to (col,row) //make TrackHit from pulses //perform KF & produce LCIO Tracks // processors for x-checks & histograms

CEA-Saclay G. De Lentdecker November 30 st Comparison event by event Compared some pulses between LPMon and MarlinTPC Pulse height and time looked in agreement although not exactly identical by a few ADC counts One « event display »: LPDisplay MarlinTPC RUN st event (Resistive Ink) X (mm) Y X

CEA-Saclay G. De Lentdecker November 30 st Comparison Time RUN st event (Resistive Ink) X Y X Y Y Hits included in track reconstructed by Kalman Filter X LPDisplay MarlinTPC

CEA-Saclay G. De Lentdecker November 30 st Kalman Filter Kalman filter seems to work: Tracks are reconstructed However pt values obtained are not correct (bad B field setting ?) (GeV/c)

CEA-Saclay G. De Lentdecker November 30 st Conclusions The most difficult (for me) was to install Marlin & ILCSOFT Once this done, installation of KalTest and KalDet is easy Except few hardcoded values, Kalman Filters runs: Tracks are reconstructed BUT values returned by the fit doesn’t look right… investigating