Mar 2-7 Sendai Satoru Uozumi (Kobe University)

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Presentation transcript:

Mar 2-7 TILC08 @ Sendai Satoru Uozumi (Kobe University) Preparation for Jet Analysis of Jupiter data using MarlinReco+PandoraPFA Mar 2-7 TILC08 @ Sendai Satoru Uozumi (Kobe University)

Goal of this work: Detector optimization with benchmark process of Zh -> jets mode Processes (e+e-) √S (GeV) Observables Comments ZH, ZHe+e-X, 250 s, mH mH=120GeV, test materials and gID m-m+X mH=120GeV, test DP/P ZH, Hcc, Znn Br(Hcc) Test heavy flavour tagging and anti-tagging of light quarks and gluon , Zqq Br(Hqq) Same as above in multi-jet env. Z*  t+t- 500 s, AFB, Pol(t) Test p0 reconstruction and t rec. aspects of PFA tt, tbW, Wqq’ s, AFB, mtop Test b-tagging and PFA in multi-jet events. mtop=175GeV c+c-, c20c20 s, mc Point 5 of Table 1 of BP report. W/Z separation by PFA This benchmark process probes performance of : Vertexing and flavour-tagging. Di-jet mass reconstruction.

Analysis tools Jupiter-LCIO interface LCIO-Jupiter interface Interfaces are being developed to reconstruct Jupiter data with Marlin modules. Before entering the actual analysis, need to solve many compatibility problems and to tune parameters using single particles / z-pole events.

This talk reports preliminary results of: Tracking performance (PT, d0 resolution) of MarlinReco, Vertexing and flavour tagging performance of LCFIVertex, Higgs-mass distribution reconstructed by PandoraPFA, for the Jupiter & GLD data.

Momentum Resolution for single muon Jupiter&GLD + MarlinReco (full tracking) GLD DOD Single muon data (cosq=0, f=90o, z0=+1cm) generated by Jupiter and converted to lcio. The momentum resolution looks consistent with past result with Jupiter+Satellites (except pT=500GeV).

Momentum Resolution for single muon 1 GeV 2 GeV 5 GeV 10 GeV 20 GeV 100 GeV 200 GeV 500 GeV Almost looks fine, however ineffcienciy has been seen at PT=200 and 500 GeV. Still need investigation…

Impact-Parameter Resolution for single muon 1 GeV 2 GeV 5 GeV 10 GeV 20 GeV 100 GeV 200 GeV 500 GeV Again Single muon data with generated d0 = 0 mm. Going to be slightly worse in >100 GeV, but reasonably good for the vertex finding.

Flavour tagging with LCFIVertex (Z-pole data by Jupiter&GLD) LDC data (Sonja) Purity b c c (b-bkgr) b-jets from Z-pole open: SGV full: MARLIN, SGV-input Identical input events Purity preliminary Efficiency Same neural-net with LDC simulation is used. The b-tagging performance is reasonably good. c-tagging for c-jets is not yet as good as LDC case, need investigation. c-jets from Z-pole Efficiency

Flavour tagging with LCFIVertex (Zh, Zgnn, hgj j data by Jupiter) b-tag Mh = 140 GeV c-tag Mh = 140 GeV preliminary Purity c-tag Mh = 160 GeV b-tag Mh = 160 GeV Efficiency The b-tagging gets worse with boosted jets (Mh=160GeV). Overall performance is not well enough yet, need tuning of LCFIVertex parameters for the GLD/GLD’.

Reconstructed Higgs Mass by PandoraPFA (Zh, Zgnn, hgj j data by Jupiter) Mh=140 GeV Mh=160 GeV Very very preliminary Very preliminary, just plot all the events, no cut is applied. Still peak position is shifted from the generated value? Need investigation and tuning…

Summary (Near Future) Plans We are going to perform optimization study using Zh g jets mode using Jupiter+Marlin processors. After defeating many technical problem on JupitergMarlin compatibility, an analysis path is established! However performance of event reconstruction is not yet perfect, need investigation and precise tuning on many parameters (calibration, neural-net, cut values…) (Near Future) Plans Detailed parameter tuning to have the best performance with GLD and GLD-prime geometry. Estimate sensitivity on Br(Hgcc) and compare it between the GLD and GLD-prime.