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Enhancing Resolution and Scale Factors with VPDL: Insights from MC Sample Fitting

This work by Kin Yip, presented on February 17, 2005, explores the relationship between resolution and VPDL using Monte Carlo samples subjected to smearing, aiming for a more realistic resolution. The analysis involves fitting data with a parameterization of three Gaussian functions, where widths and ratios are fixed based on previous references (specifically Fig. 46 of the DØ Note 4701 version 1.2). The study examines the variation of resolutions as a function of VPDL, incorporating floating scale factors for improved accuracy in fitting within VPDL bins.

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Enhancing Resolution and Scale Factors with VPDL: Insights from MC Sample Fitting

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  1. Resolutions & Scale factors vs VPDL (using MC samples which have smearing done on the MC tracks to have worse/realistic resolution) Feb. 17, 2005 Kin Yip

  2. Resolutions as a function of VPDL in the old parameterization of 2 Gaussians

  3. fixed • Now I fit using 3 Gaussians (widths and ratios fixed as in Fig. 46 of the D Note 4701 version 1.2) (cm)

  4. Fitting in VPDL bins

  5. Have 3 scale factors for 3 ’s floating in the fit : (cm)

  6. Floating 3 scale factors and fitting in VPDL bins

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