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Evaluating ATGC Contributions in Gamma pT Cut Regions Using BAUR NLO Samples

This study focuses on testing the binning and gamma pT cut regions for the generation of ATGC samples utilizing the BAUR NLO package with H30(ϒ) as a case example. We generated 61 samples within the range of -0.03 to 0.03 with a step of 0.001, applying specific cuts on photon, lepton, and jet pT and η variables. The goal is to understand the impact of binning on ATGC contributions, particularly for large H30 values. Using minus log-likelihood fitting, we analyze the normalization of Monte Carlo events against observed data to refine our understanding of ATGC parameters.

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Evaluating ATGC Contributions in Gamma pT Cut Regions Using BAUR NLO Samples

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  1. ATGC study in ZmumuGamma channel L. Han, L.HE, Suen.H, M.Liu, H.Song IPAS&USTC IPAS&USTC

  2. Purpose: Test binning and gamma pT cut region Generation of ATGC samples- BAUR NLO Use H30(ϒ) for an example • With BAUR NLO package, we generate 61 sample with H30(ϒ) from -0.03 – 0.03 with step 0.001 • pt(γ) > 45GeV, |η(ϒ)|<2.37 ; • pt(l) > 25GeV, |η(l)|<2.47 ; • pt(jet)>20GeV, |η(jet)|<3.0 ; • dR(l,ϒ) > 0.7 ; • M(llϒ)>100GeV; •  =2TeV • efract =0.5 • used pdf: cteq6m • Data: period D-H(~ 1 fb-1) • using tag p605 • use exactly the same event selection except: pt_gamma >45GeV M(μμϒ)>100GeV IPAS&USTC

  3. ATGC plots Purpose: Test binning and gamma pT cut region Has ATGC contribution when H30 is large 60GeV IPAS&USTC

  4. Extract ATGC parameters-H30G Purpose: Test binning and gamma pT cut region 1. Binning: 45-55, 55-65,65-75,75-100,100-500 Use Minus LogLikelihood bin-by-bin fitting Vtot: expected events ni: observed events in ith bin 60 SM BAUR Sample Vs. data(83events) -0.014<h30(G)<0.014 90% CL -Log(L) Value of 61 sets Normalize MC’s 1st bin to data IPAS&USTC

  5. Extract ATGC parameters-H30G Purpose: Test binning and gamma pT cut region 1. Binning: 60-500 Use Minus LogLikelihood bin-by-bin fitting Help our normalization SM BAUR Sample Vs. data(83events) -0.024<h30(G)<0.024 90% CL 60GeV -Log(L) Value of 61 sets Just use >60GeV 1 bin Same normalization method with slide 4 IPAS&USTC

  6. Purpose: Test binning and gamma pT cut region Principle the binning should have little effect on our result, but it seems the result is affected any how just use high pt region make our result worse? IPAS&USTC

  7. Back up 1. Binning: 45-55,55-60,60-500 -0.024<h30(G)<0.024 90% CL IPAS&USTC

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