Invariant differential yields of PI0 produced in 0-10% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV.

Invariant differential yields of PI0 produced in 5-10% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV.

Invariant differential yields of PI0 produced in 10-20% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV.

Invariant differential yields of PI0 produced in 20-40% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV.

Invariant differential yields of PI0 produced in 40-60% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV.

Invariant differential yields of PI0 produced in 60-80% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV.

Nuclear Suppression factor RAA of PI0 produced in 0-5% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV, TAA uncertainty of 3.2% not and uncertainty of \sigma_{inel} of 3.9% included in systematics.

Nuclear Suppression factor RAA of PI0 produced in 0-10% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV, TAA uncertainty of 3.25% not and uncertainty of \sigma_{inel} of 3.9% included in systematics.

Nuclear Suppression factor RAA of PI0 produced in 5-10% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV, TAA uncertainty of 3.3% not and uncertainty of \sigma_{inel} of 3.9% included in systematics.

Nuclear Suppression factor RAA of PI0 produced in 10-20% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV, TAA uncertainty of 3.1% not and uncertainty of \sigma_{inel} of 3.9% included in systematics.

Nuclear Suppression factor RAA of PI0 produced in 20-40% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV, TAA uncertainty of 3.3% not and uncertainty of \sigma_{inel} of 3.9% included in systematics.

Nuclear Suppression factor RAA of PI0 produced in 40-60% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV, TAA uncertainty of 4.9% not and uncertainty of \sigma_{inel} of 3.9% included in systematics.

Nuclear Suppression factor RAA of PI0 produced in 60-80% central inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV, TAA uncertainty of 6.2% not and uncertainty of \sigma_{inel} of 3.9% included in systematics.

Nuclear Suppression factor RAA at PT = 7 GEV/c of PI0 produced in inelastic PbPb collisions at center-of-mass energy per nucleon 2.76 TeV vs NPart, NPart uncertainty indicated by bin width in x.

The transverse momentum production spectra per NSD event spectra for LAMBDA mesons at 0.9 and 7 TeV.

The rapidity production spectra per NSD event spectra for XI- mesons at 0.9 and 7 TeV.

The transverse momentum production spectra per NSD event spectra for XI- mesons at 0.9 and 7 TeV.

Ratio of production rates per NSD event for LAMBDA and KS events as a function of transverse momentum.

Ratio of production rates per NSD event for XI- and LAMBDA events as a function of transverse momentum.

Ratio of production rates per NSD event for LAMBDA and KS events as a function of rapidity.

Ratio of production rates per NSD event for XI- and LAMBDA events as a function of rapidity.

Results from fitting the Tsallis function to the data at 0.9 TeV. See text of paper for details.

Results from fitting the Tsallis function to the data at 7 TeV. See text of paper for details.

Mean PT obtained from the DN/DPT distributions.

The central rapidity production rate and the integrated yields per NSD event at 0.9 TeV for |rapidity| < 2.

The central rapidity production rate and the integrated yields per NSD event at 7 TeV for |rapidity| < 2.

Nuclear modification factor RAA of psi(2S) integrated over centrality, for the midrapidity and forward rapidity analysis bins.

The LAMBDA reconstruction and selection efficiency EFF as a function of PT and XF.

The LAMBDABAR reconstruction and selection efficiency EFF as a function of PT and XF.

Differential cross section as a function of the transverse momentum PT of the third jet. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the transverse momentum PT of the fourth jet. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the pseudorapidity eta of the leading jet. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the pseudorapidity eta of the subleading jet. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the pseudorapidity eta of the third jet. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the pseudorapidity eta of the fourth jet. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the azimuthal angle DeltaPhi between the third and the fourth jet, normalized to the total number of selected events. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the normalized PT balance DELTARELPT between the third and the fourth jet, normalized to the total number of selected events. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Differential cross section as a function of the azimuthal angle between the two dijet planes (first-second and third-fourth jets), normalized to the total number of selected events. The first uncertainty is the statistical one, the second uncertainty is the combined systematic uncertainty including luminosity, jet energy scale, model dependence and jet energy resolution and trigger efficiency correction.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the lower of the two masses ($m$) in the two-candidate signal region.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the one-loose-candidate signal region.

Reconstructed mass $m_\beta$ in observed data, background estimate and expected signal ($\tilde{\chi}^{\pm}_1$ masses of 400 and 600 GeV) in the chargino search for the one-candidate signal region.

Data and background estimates for the reconstructed mass based on time-of-flight, $m_{\beta}$, for combined candidates in the full-detector 500 GeV gluino R-Hadron search (SR-RH-FD).

Data and background estimates for the reconstructed mass based on specific energy loss, $m_{\beta\gamma}$, for combined candidates in the full-detector 500 GeV gluino R-Hadron search (SR-RH-FD).

Data and background estimates for the reconstructed mass based on time-of-flight, $m_{\beta}$, for the MS-agnostic 500 GeV sbottom and $m_{\beta\gamma}$ R-Hadron search (SR-RH-MA).

Data and background estimates for the reconstructed mass based on specific energy loss, $m_{\beta\gamma}$, for the MS-agnostic 500 GeV stop R-Hadron search (SR-RH-MA).

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 10$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 20$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 30$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 40$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the mass of the lightest stau for the GMSB models with $\tan\beta = 50$. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Observed 95% CL exclusion contour for directly produced sleptons in the plane $\Delta=m(\tilde{\ell})-m(\tilde{\tau}_1)$ vs. $m(\tilde{\tau}_1)$.

Expected 95% CL exclusion contour for directly produced sleptons in the plane $\Delta=m(\tilde{\ell})-m(\tilde{\tau}_1)$ vs. $m(\tilde{\tau}_1)$.

Cross-section upper limits as a function of the $\tilde{\tau}_1$ mass for direct $\tilde{\tau}_1$ production and three values of $\tan\beta$. Expected limits for $\tan\beta=10$ with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties observed limits for three values of $\tan\beta$ and theoretical cross-section prediction for $\tan\beta=10$ with $\pm 1\sigma$ band.

Cross-section upper limits as a function of the $\tilde{\chi}_1$ mass for $\tilde{\tau}_1$ sleptons resulting from the decay of directly produced charginos and neutralinos in GMSB. Observed limits, expected limits for $\tan\beta=10$ with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties and theoretical cross-section prediction (dominated by $\tilde{\chi}^0_1 \tilde{\chi}^+_1$ production) with $\pm 1\sigma$ uncertainty. Depending on the hypothesis and to a small extent on $\tan\beta$, in these models, the chargino mass is 210 to 260 GeV higher than the neutralino mass.

Observed 95% CL exclusion contour for the LeptoSUSY model.

Expected 95% CL exclusion contour for the LeptoSUSY model.

Cross-section upper limits for various chargino masses in stable-chargino models. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the gluino R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the gluino R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the sbottom R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the sbottom R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the stop R-Hadron models for the MS-agnostic search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Cross-section upper limits as a function of the LLP mass for the stop R-Hadron models for the full-detector search. Expected limit with $\pm 1\sigma$ and $\pm 2\sigma$ uncertainties, observed limit and theoretical cross-section prediction with $\pm 1\sigma$ uncertainties.

Summary of systematic uncertainties for the slepton searches (given in percent). Ranges indicate a mass dependence for the given uncertainty (low mass to high mass).

Summary of systematic uncertainties for the chargino and R-Hadron searches (given in percent). Ranges indicate a mass dependence for the given uncertainty (low mass to high mass).

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the two signal regions used in the GMSB slepton search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the three signal regions used in the LeptoSUSY slepton search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the three signal regions used in the chargino search. Cross-section upper limits are stated at 95% CL.

Observed and expected event yields, as well as efficiencies and uncertainties for three MC simulation signal samples, in the R-Hadron searches. Cross-section upper limits are stated at 95% CL.

Mass of the $\tilde{\tau}_1$; cross-section; minimum $p_T$, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the GMSB slepton search.

Mass of the $\tilde{\tau}_1$; cross-section; minimum \pt, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the directly produced $\tilde{\tau}_1$ search.

Masses of the $\tilde{g}$ and $\tilde{q}$; cross-section; minimum \pt, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the two signal regions used in the LeptoSUSY search.

Slepton search candidate requirements and example candidate selection flow for loose and tight selections.

Mass of the $\tilde{\chi}^{\pm}_{1}$; cross-section; minimum $p_T$, maximum $\beta$ and minimum $m_{\beta}$ requirements; expected number of signal events (exp.); signal selection efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for the three signal regions used in the chargino search.

Chargino search candidate requirements and example candidate selection flow for the total production as well as chargino-neutralino (CN) and chargino-pair (CC) production separately.

Mass of the LLP; cross-section; minimum $p$, maximum $\beta\gamma$, maximum $\beta$, minimum $m_{\beta\gamma}$ and minimum $m_{\beta}$ requirements; expected signal (exp.); signal efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for all R-Hadron models considered in the R-Hadron MS-agnostic (SR-RH-MA) search.

Mass of the LLP; cross-section; minimum $p$, maximum $\beta\gamma$, maximum $\beta$, minimum $m_{\beta\gamma}$ and minimum $m_{\beta}$ requirements; expected signal (exp.); signal efficiency (eff.); background estimate (est.); observed number of events (obs.); expected upper cross-section limit ($\sigma^\mathrm{exp}$); and observed upper cross-section limit ($\sigma^\mathrm{obs}$) for all R-Hadron models considered in the R-Hadron full-detector (SR-RH-FD) search. In cases where two numbers are stated, these reflect the values in the ID+calorimeter and combined selection, respectively, used in this search.

Muon-agnostic search R-Hadron candidate requirements and example candidate selection flow for ID+calorimeter selection.

Full-detector search R-Hadron candidate requirements and example candidate selection flow for combined selection.

Differential production yield per binary collision for $W^{-}$ bosons as a function of $|\eta_\ell|$.

The lepton charge asymmetry $A_{\ell}$ from $W^\pm$ bosons as a function of absolute pseudorapidity.

The measured PHI* distributions for the dimuon events corrected back to the born level. The distributions are normalised to unity inidividually for each abs(yrap) bin and channel.

The measured PHI* distributions for the dimuon events corrected back to the dress level. The distributions are normalised to unity inidividually for each abs(yrap) bin and channel.

The measured PHI* distributions for the dimuon events corrected back to the bare level. The distributions are normalised to unity inidividually for each abs(yrap) bin and channel.

The combined normalised differential PHI* distributions at the Born level in the different rapidity ranges.