Invariant mass distribution of the selected $\mathrm{B}^+\mathrm{K}^-$ candidates in data

Invariant mass distribution of the selected $\mathrm{B}^0 \mathrm{K}^{0}_{\mathrm{S}}$ candidates in data

The observed signal yields ($N$), natural widths ($\Gamma$), and mass differences from the fits to the $m_{\mathrm{BK}}$ distributions in data, for the two channels: $\mathrm{B}^+\mathrm{K}^-$ and $\mathrm{B}^0 \mathrm{K}^{0}_{\mathrm{S}}$. The uncertainties are statistical only.

The measured ratios of branching fractions

The measured ratios of cross sections times branching fractions

The measured mass differences $M(\mathrm{B}^{(*)0}_{\mathrm{s1,2}})-M^{\mathrm{PDG}}_{\mathrm{B}}-M^{\mathrm{PDG}}_{\mathrm{K}}$

The measured masses of $\mathrm{B}^{*}_{\mathrm{s2}}(5840)^0$ and $\mathrm{B}_{\mathrm{s1}}(5830)^0$ mesons

The measured mass differences between neutral and charged B mesons

The measured $\mathrm{B}^{*}_{\mathrm{s2}}(5840)^0$ natural width

Charged-particle multiplicities in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of transverse momentum for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.

Charged-particle multiplicity distribution in proton-proton collisions at a centre-of mass energy of 13000 GeV for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.

Average transverse momentum in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of the number of charged particles in the event for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.

Extrapolated ($\tau > 30$ ps) charged-particle multiplicities in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of pseudorapidity for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.

Extrapolated ($\tau > 30$ ps) charged-particle multiplicities in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of transverse momentum for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.

Extrapolated ($\tau > 30$ ps) charged-particle multiplicity distributions in proton-proton collisions at a centre-of mass energy of 13000 GeV for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.

Extrapolated ($\tau > 30$ ps) average transverse momentum in proton-proton collisions at a centre-of mass energy of 13000 GeV as a function of the number of charged particles in the event for events with the number of charged particles >=2 having transverse momentum >100 MeV and absolute(pseudorapidity) <2.5.

$R_{pPb}$ as a function of $p_{T}$ integrated over rapidity range $-1.8<y*<1.3$ for the 0--90% centrality interval for the three geometric models: (a) Glauber, (b) Glauber-Gribov with $\omega_{\sigma}=0.11$ and (c) Glauber-Gribov with $\omega_{\sigma}=0.2$.

$R_{pPb}$ values as a function of $p_{T}$ in the 0--90% centrality interval averaged over $|y*|<0.5$.The $\langle T_{Pb} \rangle$ value for the ATLAS centrality correction is calculated with the Glauber model. The total systematic uncertainties, which include the uncertainty in $\langle T_{Pb} \rangle$, are indicated by lines of the same colour. Strict quantitative agreement is not expected as each measurement uses different rapidity intervals for the centrality determination and apply different event selection criteria to reject diffractive collisions.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $-1.8<y*<1.3$ for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{CP}$ as a function of $p_{T}$ extracted from the invariant yields integrated over $|\eta|<2.3$ for seven centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $p_{T}$ extracted from the invariant yields for six rapidity ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

$R_{pPb}$ as a function of $y*$ extracted from the invariant yields for eight $p_{T}$ ranges, for eight centrality intervals, and for different geometrical models used to calculate $\langle T_{Pb} \rangle$.

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Double-differential yields, $\frac{d^{2}n}{x_{_F}p_{_T}}$ and $f_n(x_{_F},p_{T})$, for $x_{_F}>0$.

$p_{_T}$ integrated yield $\frac{dn}{dy}$, the inverse slope parameter $T$ and the mean transverse mass $\langle m_{_T}\rangle - m_{\Lambda}$.

$p_{_T}$ integrated yield $\frac{dn}{x_{_F}}$ and the invariant cross section $F(x_{_F})$.

The gluon jet fragmentation functions in bins of $x_{\rm E}$ and scale $Q_{\rm jet}$ obtained from the biased jets using the energy-ordering method (EO). These data are displayed in Fig. 9. In the region 0.48 $<x_{\rm E}<$ 0.90 and $Q_{\rm jet}=$ 30-42 GeV for the b-tag method, no measurement was possible due to low statistics.

The flavour inclusive jet fragmentation functions in bins of $x_{\rm E}$ and scale. The scale denotes $Q_{\rm jet}$ for the biased jets and is given by the intervals, while it denotes $\sqrt{s}/2$ for the unbiased jets and is given by the single values. These data are displayed in Figs. 10 and 11.

The udsc-quark, b-quark and gluon fragmentation functions in bins of $x_{\rm E}$ and scale. The scale denotes $Q_{\rm jet}$ for the biased jets. These data are displayed in Figs. 12-17.

The udsc-quark, b-quark and gluon fragmentation functions in bins of $x_{\rm E}$ and scale. The scale denotes $Q_{\rm jet}$ for the biased jets. These data are displayed in Figs. 12-17.

The udsc-quark, b-quark and gluon fragmentation functions in bins of $x_{\rm E}$ and scale. The scale denotes $Q_{\rm jet}$ for the biased jets. These data are displayed in Figs. 12-17.

The udsc-quark, b-quark and gluon fragmentation functions in bins of $x_{\rm E}$ and scale. The scale denotes $Q_{\rm jet}$ for the biased jets. These data are displayed in Figs. 12-17.

The udsc-quark and b-quark fragmentation functions in bins of $x_{\rm E}$ and scale. The scale denotes $\sqrt{s}/2$ for the unbiased jets. These data are displayed in Figs. 12-17.

The udsc-quark and b-quark fragmentation functions in bins of $x_{\rm E}$ and scale. The scale denotes $\sqrt{s}/2$ for the unbiased jets. These data are displayed in Figs. 12-17.

Sphericity distribution.

Thrust distribution.

The minor value distribution.

Oblateness distribution.

The invariant mass square of the broad jet.

The invariant mass square of the slim jet.

The mass square difference of the broad and slim jet.

The transverse momentum distribution with respect to the sphericity axis.

The transverse momentum distribution with respect to the sphericity axis.

The momentum distribution out of the event plane.

The transverse momentum distribution in the event plane with respect to the sphericity axis.

The scaled momentum distribution.

Rapidity distribution (folded around yrap=0).

The charged particle flow with respect to the sphericity axis.

The energy flow with respect to the sphericity axis.

Aplanarity distribution.

QX Distribution (QX=SQRT(3)*(Q3-Q2).

The (Q2-Q1) distributions.

Sphericity distribution.

Thrust distribution.

The minor value distribution.

Oblateness distribution.

The invariant mass square of the broad jet.

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The mass square difference of the broad and slim jet.

The transverse momentum disribution with respect to the sphericity axis.

The transverse momentum distribution with respect to the sphericity axis.

The momentum distribution out of the event plane.

The transverse momentum distribution in the event plane with respect to the sphericity axis.

The scaled momentum distribution.

Rapidity distribution (folded around yrap=0).

The charged particle flow with respect to the sphericity axis.

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Aplanarity distribution.

QX distribution (QX=SQRT(3)*(Q3-Q2).

The (Q2-Q1) distribution.

Sphericity distribution.

Thrust distribution.

The minor value distribution.

Oblateness distribution.

The invariant mass square of the broad jet.

The invariant mass square of the slim jet.

The mass square difference of the broad and slim jet.

The transverse momentum distribution with respect to the sphericity axis.

The transverse momentum distribution with respect to the sphericity axis.

The momentum distribution out of the event plane.

The transverse momentum distribution in the event plane with respect to the sphericity axis.

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Rapidity distribution (folded around yrap=0).

The charged particle flow with respect to the sphericity axis.

The energy flow with respect to the sphericity axis.

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).

Axis error includes +- 0.0/0.0 contribution (?////SYSTEMATIC ERRORS IN CORRECTIONSVARIOUS CORRECTIONS USING MONTE-CARLO SIMULATION).