Download Z Boson Transverse Momentum Distribution, and ZZ and WZ by Mika Vesterinen PDF

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By Mika Vesterinen

This paintings develops novel information research concepts allowing facets of the normal version of particle physics to be proven with remarkable precision utilizing information from the DZero test on the excessive power “Tevatron” proton-antiproton collider at Fermilab, Chicago. Vesterinen's measurements of the transverse momentum of Z bosons utilizing the radical variable φ* have uncovered deficiencies within the present cutting-edge theoretical predictions for vector boson creation at hadron colliders. those innovations at the moment are getting used within the experiments at CERN’s huge Hadron Collider (LHC) and feature prompted huge curiosity within the theoretical particle physics group. additionally, Vesterinen's measurements of the move sections for the creation of pairs of vector bosons (WZ and ZZ) are up to now the main unique ever made.

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Extra resources for Z Boson Transverse Momentum Distribution, and ZZ and WZ Production: Measurements Using 7.3 – 8.6 fb–1 of p¯p Collisions at √s = 1.96 TeV

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008 0 0. 1 0. 2 Uncorrected calorimeter φsign mod 0. 3 0. 4 0. 5 0. 6 0. 7 0. 8 0. 9 1 sign Uncorrected calorimeter φ mod sign Fig. 3 The mean φ-shift, 32(φtrkEM3 − φcal )/2π as a function of φmod in (left) data and right Z /γ ∗ → e+ e− MC. The legend entries indicate the values of Bz (1st element) and q (2nd element). a Data b MC We are now interested in the sign of the φmod variable and define, sign φmod = mod(32φtrkEM3 /2π, 1). 3 shows separately for data and MC, the mean φ-shift, 32(φtrkEM3 −φcal )/2π, sign as a function of the uncorrected calorimeter φmod , of track matched electrons in a ∗ + − sample of Z /γ → e e events.

3. Tau candidates are classified into three categories based on their decay topology. • Type-1 A single track matched to a calorimeter cluster, but without an EM subcluster. These are mainly τ ± → π ± ν decays. • Type-2 As for type-1 except that there is at least one EM sub-cluster. These are mainly τ ± → ρ± ν → π ± π 0 ν decays. • Type-3 Three reconstructed tracks within the cone. These are mainly τ ± → π ± π + π − ν decays. A neural network based classifier has been developed to separate hadronic taus from jets [8].

If the bin-to-bin migration due to resolution is significant, then the correction factor for each bin depends on the shape of the generator-level distribution. A commonly used technique is to generate a 2D migration matrix from a simulation of the detector response. This matrix can be inverted, and used to unfold the data [17]. The inversion introduces numerical instabilities, and various techniques have been introduced to control these, for example the singular value decomposition (SVD) approach as implemented in the guru code [18].

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