Results of applying the BH algorithm to the mass spectra in the leading photon category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading electron category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading muon category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading small-R jet category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading bjet category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading large-R jet category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading photon category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading electron category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the leading muon category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the inclusive category, using the fitted background estimations from the initial step

Results of applying the BH algorithm to the mass spectra in the inclusive category, using the fitted background estimations from the initial step

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading small-R jet category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading bjet category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading large-R jet category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading photon category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading electron category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading muon category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading small-R jet category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading bjet category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading large-R jet category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading photon category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading electron category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the leading muon category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the inclusive category

Upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signal with a relative width value of 3% as a function of mass in the inclusive category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading small-R jet category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading bjet category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading large-R jet category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading photon category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading electron category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading muon category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading small-R jet category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading bjet category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading large-R jet category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading photon category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading electron category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the leading muon category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the inclusive category

Comparison of observed upper limits at 95% CL on the cross section times branching fraction times acceptance for a Gaussian-shaped signals with relative width values as a function of mass in the inclusive category

Acceptance times efficiency in an HVT model as a function of mass in the leading large-R jet category

Upper limits at 95% CL on the cross section times the branching fraction($W^{\prime} \to ZW$) for the HVT signal as functions of mass($m_{ZX}$) in the leading large-R jet category.The full(dashed) red curves correspond to the theoretical predictions of HVT model A(B)

Comparison of the identification efficiencies using standard and merged-ee reconstruction as a function of true PT(Z)

Background rejection factor as a function of signal efficiency. The red curve shows the BDT performance whereas the blue curve corresponds to that of a cut-based analysis relying only on the jet energyfraction deposited in the EM calorimeter

BH p-values of the 100 pseudo-experiments as a function of in the leading small-R jet category for an injected Gaussian-shaped signal with a relative width value of 3%. The fractions of the pseudo-experiments that have the correctly identified interval and BH p-values below the threshold of 0.01 are indicated. The background is derived by the background-only fit in the full fitting range.

BH p-values of the 100 pseudo-experiments as a function of in the leading small-R jet category for an injected Gaussian-shaped signal with a relative width value of 3%. The fractions of the pseudo-experiments that have the correctly identified interval and BH p-values below the threshold of 0.01 are indicated. The background is derived by the background-only fit in the range excluding the BH interval.

Fractions of pseudo-experiments in which the detected BH interval agrees with the injected mass point and the BH p-value is below 0.01 as a function of mass in the leading small-R jet category for Gaussian-shaped signal with a relative width of 3%.

Fractions of pseudo-experiments in which the detected BH interval agrees with the injected mass point and the BH p-value is below 0.01 as a function of mass in the leading small-R jet category for Gaussian-shaped signal with a relative width of 3%.

Distribution of exclusion upper limits on signal event yields at 95% CL from 1000 pseudo-experiments for Gaussian-shaped signals with relative width values of 3% at the low boundary of the limit-sensitive mass range for the ZX spectrum of the leading small-R jet category. The vertical line corresponds to the expected nominal exclusion limit at 95% CL.

Distribution of exclusion upper limits on signal event yields at 95% CL from 1000 pseudo-experiments for Gaussian-shaped signals with relative width values of 3% at the high boundary of the limit-sensitive mass range for the ZX spectrum of the leading small-R jet category. The vertical line corresponds to the expected nominal exclusion limit at 95% CL.

Distribution of exclusion upper limits on signal event yields at 95% CL from 1000 pseudo-experiments for Gaussian-shaped signals with relative width values of 5% at the low boundary of the limit-sensitive mass range for the ZX spectrum of the leading small-R jet category. The vertical line corresponds to the expected nominal exclusion limit at 95% CL.

Distribution of exclusion upper limits on signal event yields at 95% CL from 1000 pseudo-experiments for Gaussian-shaped signals with relative width values of 5% at the high boundary of the limit-sensitive mass range for the ZX spectrum of the leading small-R jet category. The vertical line corresponds to the expected nominal exclusion limit at 95% CL.

Distribution of exclusion upper limits on signal event yields at 95% CL from 1000 pseudo-experiments for Gaussian-shaped signals with relative width values of 10% at the low boundary of the limit-sensitive mass range for the ZX spectrum of the leading small-R jet category. The vertical line corresponds to the expected nominal exclusion limit at 95% CL.

Distribution of exclusion upper limits on signal event yields at 95% CL from 1000 pseudo-experiments for Gaussian-shaped signals with relative width values of 10% at the high boundary of the limit-sensitive mass range for the ZX spectrum of the leading small-R jet category. The vertical line corresponds to the expected nominal exclusion limit at 95% CL.

Data yields of the six event categories in the $Z\to e^+e^-$ and $\mu^+\mu^-$ decay channels. The merged-$e^+e^-$ events are included in the $e^+e^-$ channel, increasing the event yield, mainly in the leading large-$R$-jet category, by 0.6 %.

A list of mass spectra, event categories and their corresponding fit ranges, functional forms, numbers of free parameters and global $\chi^2$ $p$-values from background-only fits. The fit range values are rounded to the nearest 5 GeV. Here $f_1(x)=p_0\left(\mathrm{e}^{-p_1x}+p_2\mathrm{e}^{-(p_1+p_3)x}+p_4\mathrm{e}^{-(p_1+p_3+p_5)x}+\cdots\right)$ and $f_2(x)=p_0(1-x)^{p_1}x^{p_2+p_3\ln\!x+p_4\ln^2\!x+\cdots}$

A list of mass spectra, event categories and their corresponding signal-sensitive mass ranges. The initial BH $p$-value is obtained by using the background derived from the background-only fit in the full fit range, whereas the new BH $p$-value uses the background derived from the background-only fit in the range excluding the initial BH interval.

A list of mass spectra, event categories, relative width values of Gaussian-shaped signals and limit-sensitive mass ranges and fractions, corresponding to the mass values in the previous column, of pseudo-experiments having exclusion upper limits higher than the nominal exclusion limit at 95% CL

Cutflow of HVT model $A$ signals ($W^\prime \to ZW \to \ell\ell qq$) with $m_{W^\prime} = 1$ TeV and $m_{W^\prime} = 4$ TeV based on MC simulations.

Acceptance times efficiency ($\mathcal{A} \times \epsilon$) values in % in the dominant event category for $p^Z_{\mathrm{T}} > 100$ GeV in the $Z \to \ell^{+}\ell^{-}$ decay channel.

Data from paper Table 4. Observed and expected exclusion limits for the aQGC parameters at 95% CL, without any form factors.

Data from paper Fig.4. Observed four lepton invariant mass distribution. The last bin includes overflow.

Data from Fig.4. Expected yields of four lepton invariant mass distribution for the EW ZZjj signal process. The last bin includes overflow.

Data from Fig.4. Expected yields of four lepton invariant mass distribution for the mixed EW-QCD qqZZjj background. The last bin includes overflow.

Data from Fig.4. Expected yields of four lepton invariant mass distribution for the mixed EW-QCD ggZZjj background. The last bin includes overflow.

Data from Fig.4. Expected yields of four lepton invariant mass distribution for the WWZ background. The last bin includes overflow.

Data from Fig.4. Expected yields of four lepton invariant mass distribution for the ttZ background. The last bin includes overflow.

Data from Fig.4. Expected yields of four lepton invariant mass distribution for the Z+X reducible background. The last bin includes overflow.

$\rho^0$ production cross section determined with the data set collected with trigger B, as a function of momentum transfer $t$, fitted with a double exponential fit function in the range $t < 0.1$. The statistical errors are shown. The ratio of incoherent to coherent cross sections is measured to be $0.20 \pm 0.8$. The fit parameters are shown in Table I.

Comparison of theoretical predictions to the measured total cross section for coherent $\rho^0$ production as a functionof $\sqrt{s_{NN}}$ . The measured cross section is based on the dataset collected with trigger B. The error bars show the sum of the statistical and systematic uncertainties. See text for details.

The simulated electron pair invariant mass distributions for electrons at $8 < p_{T} < 10$ GeV/c

The distribution of the minimum distance $\Delta$Z (cm) between an electron track projection point at the Barrel Electromagnetic Calorimeter (BEMC) and all BEMC clusters along the beam direction from unlike-sign electron candidate pairs, like-sign electron candidate pairs and unlike-minus-like.

The momentum over energy $p/E_0$ distribution ($p$ - momentum, $E_0$ - the energy of the most energetic tower in a Barrel Electromagnetic Calorimeter cluster) from unlike-sign electron candidate pairs, like-sign electron candidate pairs and unlike-minus-like.

Electron identification efficiency of the cuts on number of TPC points, n$\sigma_e$ and Barrel Electromagnetic Calorimeter cuts in the Run2008 analysis. The total efficiency is the product of all individual ones.

Electron identification efficiency of the cuts on number of TPC points, n$\sigma_e$ and Barrel Electromagnetic Calorimeter cuts in the Run2005 analysis. The total efficiency is the product of all individual ones.

n$\sigma_e$ distribution in the Run2008 analysis for unlike-sign, like-sign and unlike-minus-like pairs at $2.5 < p_T < 3.0$ GeV after applying all the electron identification cuts except the n$\sigma_e$ cut.

n$\sigma_e$ distribution in the Run2008 analysis for unlike-sign, like-sign and unlike-minus-like pairs at $8 < p_T < 10$ GeV after applying all the electron identification cuts except the n$\sigma_e$ cut.

The mean and width of the Gaussian fitting functions for pure photonic electron (unlike - minus-like) n$\sigma_e$ distribution as shown in Fig. 4(a) and Fig 4(b) for each $p_T$ bin.

n$\sigma_e$ distribution for inclusive electrons at (a) $2.5 < p_T < 3.0$ GeV/c in the Run2008 analysis, (b) $2.5< p_T < 3.5$ GeV/c in the Run2005 analysis and (c) $8.0 < p_T < 10.0$ GeV/c in the Run2008 analysis after applying all electron identification cuts except the n$\sigma_e$ cut.

Purity of the inclusive electron sample as a function of $p_T$ in data from Run 2008.

Purity of the inclusive electron sample as a function of $p_T$ in data from Run 2005 with High Tower HT1 trigger.

Purity of the inclusive electron sample as a function of $p_T$ in data from Run 2005 with High Tower HT2 trigger.

Derived $p_T$ spectrum for inclusive photons and the uncertainty represented by the region between the spectra of $\pi^0$ and $\eta$ decay photons and inclusive photon with doubled direct photon yield.

Ratio of photon $p_T$ spectra from Fig. 7(a) to inclusive photons $p_T$ spectrum.

Photonic electron reconstruction efficiency as a function of $p_T$ for $\gamma$ conversion, $\pi^0$ and $\eta$ Dalitz decay for the Run2008 analysis, and for their combination for the Run2008 analysis.

Photonic electron reconstruction efficiency as a function of $p_T$ for $\gamma$ conversion for the Run2005 analysis.

The adc0 distribution for high-tower trigger events. The adc0 is the offline ADC value of a BEMC cluster’s most energetic tower which is one of the high-towers responsible for firing a high-tower trigger.

The $\chi^2$ as a function of the adc0 cut.

Raw inclusive electron $p_T$ spectrum from VPD trigger in Run2008 d+Au collisions before (open squares) and after applying the adc0 > 193 cut.

The adc0 distribution for data at $p_T$ = 4.0 − 5.0 GeV/c

The adc0 distribution for simulations at $p_T$ = 4.0 − 5.0 GeV/c

The $p_T$ dependence of high-tower trigger efficiency from VPD data for Run2008 analysis.

The $p_T$ dependence of high-tower trigger efficiency from simulation for Run2008 analysis.

The $p_T$ dependence of high-tower trigger efficiency for combined VPD data and simulation for Run2008 analysis.

Raw inclusive electron $p_T$ spectrum for minimum-bias (MB) and two high-tower triggers, i.e. HT1 and HT2 for Run2005 analysis.

Raw inclusive electron $p_T$ spectrum for high-tower trigge HT1 for Run2005 analysis.

Raw inclusive electron $p_T$ spectrum for high-tower trigge HT2 for Run2005 analysis.

The $p_T$ dependence of trigger efficiency for the high-tower trigger HT1 data for Run2005.

The $p_T$ dependence of trigger efficiency for the high-tower trigger HT2 data for Run2005.

Distribution of the calculated BBC cross section $\sigma_{BBC}$ before and after removing events at the beginning and the end of Run2008.

Invariant cross section of the electron from decays of $J/\psi$.

Invariant cross section of the electron from decays of $\varUpsilon$.

Invariant cross section of the electron from Drell-Yan decays.

Invariant cross section of the electron from decays of light vector mesons ($\rho,\omega, \phi$).

The uncertainty of the $J/\psi$ feeddown.

Ratio of non-photonic to photonic electron yield from the Run2008 analysis.

Ratio of non-photonic to photonic electron yield from the Run2005 analysis.

Invariant cross section for non-photonic electron production $(e^+ + e^-)/2$ in p+p collisions from the Run2008 analysis.

Invariant cross section for non-photonic electron production $(e^+ + e^-)/2$ in p+p collisions from the Run2005 analysis.

Invariant cross section for non-photonic electron production $(e^+ + e^-)/2$ in p+p collisions from the combined Run2005 and 2008 analyses.

Invariant cross section for non-photonic electron production $(e^+ + e^-)/2$ in p+p collisions (update on PRL 98 (2007) 192301).

Ratio of invariant cross section for non-photonic electron production $(e^+ + e^-)/2$ in p+p collisions from the combined Run2005 and 2008 analyses over FONLL.

Ratio of invariant cross section for non-photonic electron production $(e^+ + e^-)/2$ in p+p collisions (update on PRL 98 (2007) 192301) over FONLL.

Invariant cross section for electrons $(e^+ + e^-)/2$ from bottom meson decay, together with the ratio of the measurements to the FONLL predictions.

Invariant cross section for electrons $(e^+ + e^-)/2$ from charm meson decay, together with the ratio of the measurements to the FONLL predictions.