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Answering Markus

Answering Markus. “You should plot against particle jet Pt.” “It’s easier to do Pt of particles collinear with calorimeter jet.” “That’s not the same.” “It will give the same answer.” “Prove it.”. Not yet a fit. Fraction from udsg. Proven. Parton (true) Pt. Particle (truth) Pt.

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Answering Markus

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  1. Answering Markus “You should plot against particle jet Pt.” “It’s easier to do Pt of particles collinear with calorimeter jet.” “That’s not the same.” “It will give the same answer.” “Prove it.” Not yet a fit Fraction from udsg Proven Parton (true) Pt Particle (truth) Pt

  2. Finding a Pt Dependence Obviously more statistics would be welcome.

  3. Fitting to HF fraction

  4. New Answer Corrected Not yet corrected Corrected Not yet corrected

  5. Progress on the 2-Component Mystery • Best Secondary Vertex: • Positive decay length • 2D decay length < 2.5 cm • Maximum 3D decay length significance

  6. QCD 080-160 (coarse binning) In bin (0.00 < Prob < 0.02) 2500 All 3951 63% are low Probability (Low Prob = High c2 = Bad)

  7. Effect of Probability Cut

  8. QCD 080-160 (fine binning) In bin (0.000 < Prob < 0.001) 2500 All 3951 50% are low Probability (Low Prob = High c2 = Bad)

  9. c 080-160 (coarse binning) In bin (0.00 < Prob < 0.02) 2600 All 6458 40% are low Probability (Low Prob = High c2 = Bad)

  10. b 080-160 (coarse binning) In bin (0.00 < Prob < 0.02) 4400 All 7856 56% are low Probability (Low Prob = High c2 = Bad)

  11. Data All Pt [Fine Binning] In bin (0.000 < Prob < 0.001) 4500 All 10248 44% are low Probability (Low Prob = High c2 = Bad)

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