A search for the Standard Model Higgs boson in the process ZH → ℓ&lt;sup&gt;+&lt;/sup&gt;ℓ&lt;sup&gt;-&lt;/sup&gt;b$\bar{b}$ in 4.1 fb&lt;sup&gt;-1&lt;/sup&gt; of CDF II data

Shalhout, Shalhout Zaki

doi:10.2172/985419

Cited by 1 publication

(4 citation statements)

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“…This was found to be at least partially due to calorimeter calibrations dependent in time [55] (see Figure 4.8b). To correct for this, an energy correction factor is calculated for each data period and applied to the data entries.…”

Section: Data Energy Scale Factorsmentioning

confidence: 92%

“…where the sum is over the testing set of events, s i is the network score and t i is the target value for a given event. For more information, please see Appendix A listed in Table 4 In addition to the neural-network selected electrons, a cut-based class of trackonly electrons [54] is retained from previous searches [55]. The electrons have tracks that point to uninstrumented, or nonfiducial, parts of the calorimeter.…”

Section: Good Run Checkmentioning

confidence: 99%

“…The analysis with 1 fb −1 of data developed a two-dimensional neural-network (two network outputs specify an x and y position) to simultaneously distinguish ZH from the dominant Z + jets background and the kinematically different tt background [61,93]. This method was fruitful and used in a number of following analyses [94,62,95,55,96,31]. One of the shortcomings of the method, however, is the two-dimensional output required many bins in order to have limitsetting power.…”

Section: Chapter 6 Final Analysis Discriminantmentioning

confidence: 99%

“…Also, the events with crack track electrons could have their E T improved by correcting for the electron's reconstructed energy. Additionally, ultra loose forward electrons used in previous analyses [55] could be included. Further gains in sensitivity can be made by improving the final discriminant.…”

Section: Notes On Future Workmentioning

confidence: 99%

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A Search for the Standard Model Higgs Boson in CDF II Data

Lockwitz

2012

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2012This dissertation presents a search for the standard model Higgs boson in the associated production process pp → ZH → e + e − bb. Data amounting to an integrated luminosity of 7.5 fb −1 at √ s = 1.96 TeV collected at the Collider Detector at Fermilab (CDF) at the Tevatron are analyzed. Two objectives are pursued in the methods applied: maximize acceptance, and distinguish the signal from background. The first aim is met by applying a neural-network-based electron identification and considering multiple electron triggers in an effort to improve Z acceptance. In an attempt to maximize the Higgs acceptance, three b quark identification schemes are used allowing for varying event conditions. The latter goal is met by employing more multivariate techniques. First, the dijet mass resolution is improved by a neural network. Then, both single variables and boosted decision tree outputs are fed into a segmented final discriminant simultaneously isolating the signal-like events from the Z with additional jets background and the kinematically different tt background.Good agreement is seen with the null hypothesis and upper production cross section (σ ZH ) times branching ratio (BR(H → bb)) limits are set for 11 mass hypotheses between 100 and 150 GeV/c 2 at the 95% confidence level. For a Higgs boson mass of 115 GeV/c 2 , this channel sets an observed (expected) upper limit of 3.9 (5.8) times the standard model value of σ ZH × BR(H → bb). The inclusion of this channel within the combined CDF and Tevatron limits is discussed.

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Section: Data Energy Scale Factorsmentioning

confidence: 92%

Section: Good Run Checkmentioning

confidence: 99%