The measured inclusive fiducial cross section measurements. The WW fiducial region is defined by requiring two same-sign leptons with $p_{T}>20$, $|\eta|<2.5$, and $m_{ll}>20$, and two jets with $m_{jj}>500$ and $|\Delta \eta_{jj}|>2.5$. The jets at generator level are clustered from stable particles, excluding neutrinos, using the anti-kt clustering algorithm with R = 0.4, and are required to have $p_{T}>50$ and $|\eta|<4.7$. The jets within $\Delta R<0.4$ of the selected charged leptons are not included. The WZ fiducial region is defined by requiring three leptons with $p_{T}>20$, $|\eta|<2.5$, a pair of opposite charge same-flavor lepton pair with $|m_{ll}-m_{Z}|<15$, and two jets with $m_{jj}>500$ and $|\Delta \eta_{jj}|>2.5$.

Distributions of $m_{jj}$ in the WW signal region.

Distributions of $m_{ll}$ in the WW signal region.

Distributions of $m_{jj}$ in the WZ signal region.

Distributions of BDT score in the WZ signal region.

Absolute WW cross section in $m_{jj}$ bins.

Normalized WW cross section in $m_{jj}$ bins.

Absolute WW cross section in $m_{ll}$ bins.

Normalized WW cross section in $m_{ll}$ bins.

Absolute WW cross section in $p_{T}^{l max}$ bins.

Normalized WW cross section in $p_{T}^{l max}$ bins.

Absolute WZ cross section in $m_{jj}$ bins.

Normalized WZ cross section in $m_{jj}$ bins.

Distributions of $m_{T}^{WW}$ in the WW signal region.

Distributions of $m_{T}^{WZ}$ in the WZ signal region.

Observed and expected lower and upper 95\% confidence level limits in TeV$^{-4}$ on the parameters of the quartic, obtained without using any unitarization procedure.

Observed and expected lower and upper 95\% confidence level limits in TeV$^{-4}$ on the parameters of the quartic by cutting the EFT expansion at the unitarity limit.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 333 ns and with a purely wino LSP. The branching fraction for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1} \pi^{\pm}$ is set to 100%. Shown are the full Run 2 results, derived from the results of the search in the 2017 and 2018 data sets combined with those of the previous CMS result obtained in the 2015 and 2016 data sets. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 2:1 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 0.3 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 3.3 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 33 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass, for a chargino lifetime of 333 ns and with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered. The dashed line indicates the theoretical prediction.

The expected and observed constraints on chargino lifetime and mass for a purely wino LSP in the context of AMSB, where the chargino lifetime is explicitly varied. The chargino branching fraction is set to 100% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1} \pi^{\pm}$. Shown are the full Run 2 results, derived from the results of the search in the 2017 and 2018 data sets combined with those of the previous CMS result obtained in the 2015 and 2016 data sets. The region to the left of the curve is excluded at 95% CL. The prediction from PLB 721 (2013) 252 is indicated in the dashed line.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass and mean proper lifetime, with a purely wino LSP. The branching fraction for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1} \pi^{\pm}$ is set to 100%. Shown are the full Run 2 results, derived from the results of the search in the 2017 and 2018 data sets combined with those of the previous CMS result obtained in the 2015 and 2016 data sets. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 2:1 ratio for all chargino masses considered.

The expected and observed constraints on chargino lifetime and mass for a purely higgsino LSP in the context of AMSB, where the chargino lifetime is explicitly varied. The chargino branching fraction is set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The region to the left of the curve is excluded at 95% CL. The prediction from Phys. Lett. B 781 (2018) 306 is indicated in the dashed line.

The expected and observed 95% CL upper limits on the product of cross section and branching fraction for direct production of charginos as a function of chargino mass and mean proper lifetime, with a purely higgsino LSP. The branching fractions are set to 95.5% for $\widetilde{\chi}^{\pm}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \pi^{\pm}$, 3% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} e\nu$, and 1.5% for $\widetilde{\chi}^{-}_{1} \rightarrow \widetilde{\chi}^{0}_{1,2} \mu\nu$, with equal branching fractions and production cross sections between $\widetilde{\chi}^{0}_{1}$ and $\widetilde{\chi}^{0}_{2}$. The cross section includes both $\widetilde{\chi}^{\pm}_{1} \widetilde{\chi}^{0}_{1,2}$ and $\widetilde{\chi}^{\pm}_{1}\widetilde{\chi}^{\mp}_{1}$ production in roughly a 7:2 ratio for all chargino masses considered.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2017 data-taking period, corresponding to $41.5\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018A data-taking period, corresponding to $21.1\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $700\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely wino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Predicted signal yields for the 2018B data-taking period, corresponding to $38.6\,\text{fb}^{-1}$, after the application of each search requirement for three chargino lifetime hypotheses ($\tau = 0.3$, $3.3$, and $33\,\text{ns}{}$) with a chargino mass of $300\,\text{GeV}{}$ in the case of a purely higgsino neutralino LSP. Excepting the final three, the requirements listed are cumulative such that only the events and objects passing a given requirement are considered in subsequent requirements. In the case of the final three requirements on the number of tracker layers with measurement, these are exclusive signal category selections where only one is applied for each category. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2017 data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018A data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events, in the case of a purely wino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^\mp_{1}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Signal acceptance times efficiency ($A\times\epsilon$) for each of the generated chargino masses and lifetimes for $\mathrm{p}\mathrm{p} \rightarrow \widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events, in the case of a purely higgsino neutralino LSP. The denominator for the acceptance is the total number of $\widetilde{\chi}^\pm_{1} \widetilde{\chi}^0_{1,2}$ events generated, while the numerator is the number of those events that are selected by the signal selection after being processed with the same reconstruction software used on the data. These $A\times\epsilon$ values correspond to the conditions simulated for the 2018B data-taking period. The uncertainties are only the statistical uncertainties resulting from the sizes of the generated samples.

Summary of the estimated backgrounds and the observation. The first and second uncertainties shown are the statistical and systematic contributions, respectively.

$p_{\rm T}$-differential yields of $\Lambda$(1520) (sum of particle and anti-particle states) in p--Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ $\mathrm{=}$ 5.02 TeV in multiplicity interval 20--40\%. The uncertainty 'sys,$p_{\rm T}$-correlated' indicates the systematic uncertainty after removing the contributions of $p_{\rm T}$-uncorrelated uncertainty.

$p_{\rm T}$-differential yields of $\Lambda$(1520) (sum of particle and anti-particle states) in p--Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ $\mathrm{=}$ 5.02 TeV in multiplicity interval 40--60\%. The uncertainty 'sys,$p_{\rm T}$-correlated' indicates the systematic uncertainty after removing the contributions of $p_{\rm T}$-uncorrelated uncertainty.

$p_{\rm T}$-differential yields of $\Lambda$(1520) (sum of particle and anti-particle states) in p--Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ $\mathrm{=}$ 5.02 TeV in multiplicity interval 60--100\%. The uncertainty 'sys,$p_{\rm T}$-correlated' indicates the systematic uncertainty after removing the contributions of $p_{\rm T}$-uncorrelated uncertainty.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to charged $\pi$ ($\pi^{+} + \pi^{-}$) at midrapidity as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in inelastic pp collisions at $\sqrt{s}$ $\mathrm{=}$ 7 TeV.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to charged $\pi$ ($\pi^{+} + \pi^{-}$) as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in p--Pb collisions at $\sqrt{s}$ $\mathrm{=}$ 5.02 TeV. The uncertainty 'sys,uncorrelated' indicates the multiplicity uncorrelated systematic uncertainty.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to K$^{-}$ at midrapidity as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in inelastic pp collisions at $\sqrt{s}$ $\mathrm{=}$ 7 TeV.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to K$^{-}$ as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in p--Pb collisions at $\sqrt{s}$ $\mathrm{=}$ 5.02 TeV. The uncertainty 'sys,uncorrelated' indicates the multiplicity uncorrelated systematic uncertainty.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to its ground state particle $\Lambda$ ($\Lambda + \bar{\Lambda}$) at midrapidity as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in inelastic pp collisions at $\sqrt{s}$ $\mathrm{=}$ 7 TeV.

Ratio of $p_{\rm T}$-integrated yields of $\Lambda$(1520) (sum of particle and anti-particle states) to its ground state particle $\Lambda$ ($\Lambda + \bar{\Lambda}$) as a function of $\langle {\rm d}N_{\rm ch}/{\rm d} \eta_{\rm lab} \rangle$ in p--Pb collisions at $\sqrt{s}$ $\mathrm{=}$ 5.02 TeV. The uncertainty 'sys,uncorrelated' indicates the multiplicity uncorrelated systematic uncertainty.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for NSD collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for NSD collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for NSD collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for NSD collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for NSD collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for NSD collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for NSD collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for NSD collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for NSD collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for NSD collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for NSD collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for NSD collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for INEL collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for INEL collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for INEL collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for INEL collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for INEL collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for INEL collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for INEL collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for INEL collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for INEL collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for INEL collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for INEL collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for INEL collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for INEL collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for INEL collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for INEL collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for INEL>0 collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for INEL>0 collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for INEL>0 collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for INEL>0 collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for INEL>0 collisions at a centre-of-mass energy of 900 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for INEL>0 collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for INEL>0 collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for INEL>0 collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for INEL>0 collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for INEL>0 collisions at a centre-of-mass energy of 7000 GeV.

Multiplicity distribution in the pseudorapidity region -2.0 to 2.0 for INEL>0 collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -2.4 to 2.4 for INEL>0 collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.0 to 3.0 for INEL>0 collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 3.4 for INEL>0 collisions at a centre-of-mass energy of 8000 GeV.

Multiplicity distribution in the pseudorapidity region -3.4 to 5.0 for INEL>0 collisions at a centre-of-mass energy of 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in NSD collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in NSD collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in NSD collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in NSD collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in NSD collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in NSD collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in NSD collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in NSD collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in NSD collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in NSD collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in NSD collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in NSD collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in NSD collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in NSD collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in NSD collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL>0 collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL>0 collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL>0 collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL>0 collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL>0 collisions at center-of-mass energy 900 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL>0 collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL>0 collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL>0 collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL>0 collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL>0 collisions at center-of-mass energy 7000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.0 to 2.0 in INEL>0 collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -2.4 to 2.4 in INEL>0 collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.0 to 3.0 in INEL>0 collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 3.4 in INEL>0 collisions at center-of-mass energy 8000 GeV.

Set of fit parameters for the multiplicity distribution in pseudorapidity range -3.4 to 5.0 in INEL>0 collisions at center-of-mass energy 8000 GeV.

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Forward cross sections.

Backward cross sections.

From S, P and D wave fit to d(sig)/domega.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 0.15 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 0.15 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 10-30%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 5 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 10-30%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 30-50%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Charged jet spectra using two cone radius parameters R = 0.2 and 0.3 and a leading track selection of pT > 10 GeV, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 0.15 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 0.15 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 10 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 0-10%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet spectra with leading track selection of pT > 10 GeV to pT > 5 GeV using two cone radius parameters R = 0.2 and 0.3, for centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 0-10% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 10-30% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, for charged jets with either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. Central collisions are defined to have centrality 30-50% and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 0.15 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 5 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Nuclear modification factor, constructed as the ratio of jet pT spectra in central and peripheral collisions normalized by the nuclear overlap functions, as a function of the average number of participants in the collision (<Npart>), for charged jets with pT = 60-70 GeV and either R = 0.2 or R = 0.3 and a leading charged particle with pT > 10 GeV. The correspondence between <Npart> and the centrality classes is given in Table 1 of the paper, and peripheral collisions are defined to have centrality 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

Ratio of charged jet pT-spectra with radius parameter R = 0.2 and 0.3 and a leading charged particle with pT > 5 GeV, for two centrality classes 0-10% and 50-80%. The two systematic uncertainties correspond to the shape uncertainty and the correlated uncertainty.

v2 vs. pt for average D0, D+ and D*+. The first systematic (sys) error is that from the data analysis and the second is from the B feed-down subtraction, as explained in the paper.