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BH bb and BH uu Using Version 12 Training Monica Dunford FTK Monthly Meeting February 21, 2007
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2 Summary of Cuts Studying WH->bb and WH->uu samples For all samples, the following are applied –-1.0 < Cot( ) < 1.0 –-0.3 < curvature(GeV -1 ) < 0.3 –No cuts on truth track association
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3 Athena v10 FTK Results Reprocessed Meena’s v10 samples –Number of tracks is much improved –Not much improvement in bb vs. uu impact parameter Remainder of slides focuses on v12
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4 Athena v12 Data Sets Using CSC Digitization processing –misal1_csc11.005850.WH120bb_pythia.digit.RDO.v12003103 –misal1_csc11.005851.WH120uu_pythia.digit.RDO.v12003103 Have approximately 48,000 WHbb events and 32,000 WHuu events currently processed Currently running WHbb and WHuu samples with TRT disabled in iPat –Will be done in a few days
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5 Athena v12 Number of Tracks Fewer FTK tracks expected due to incomplete training
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6 WHbb Impact Parameter New training has removed ‘features’ in v10 FTK distribution Better agreement with iPat distribution –Test this against iPat with no TRT
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7 bb and uu Discrimination FTK’s impact resolution is worse than iPat, especially in WHuu FTK iPat
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8 iPat Differences Between v10 and v12 iPat Impact parameter resolution has worsen But discrimination in v12 looks better with higher statistics (compared to last week)
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9 iPat and FTK Differences FTK’s Pt vs. Impact distribution much different than iPat and truth FTK WHuu FTK WHbb iPat WHbb iPat WHuu Truth track distr. looks similar to iPat
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10 iPat and FTK Differences Impact parameters distribution for two Pt ranges FTK WHbb FTK WHuu iPat WHbb iPat WHuu
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11 Next Ideas Associate tracks to jets –Promised code from Meena Compare FTK to iPat with no TRT –Jobs are currently running Compare offline b-tagging algorithms between FTK and iPat
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