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,
, Feynman diagrams showing vacuum fluctuations at the lowest order in QCD, p.11
, The QCD phase-space diagram
, Space-time evolution of a collisions of heavy-ion. Taken from [8]
, Schematic view of the initial geometry of a collisions of nuclei A and B at the impact parameter b. Modified from
, A sketch of a peripheral heavy ion collisions. The asymmetric overlap region gives rise to momentum anisotropy
, The Z 0 boson R AA values for the combination of the dimuon and dielectron channel as a function of the number of participants N part in Pb-Pb at ? s NN = 2.76 TeV. Taken from [24]
, OZI forbidden (left) and allowed (right) c¯ c decay
, Spectroscopy of stable charmonia states
, 22 2.4 (a) The p T dependence of the fraction of non-prompt J/? f b at midrapidity in pp at ? s = 7 TeV measured in ALICE, The energy dependence of the d? b ¯ b /dy production cross section, vol.37
, Examples of Feynman diagrams describing the charm quark pair creation in QCD
, Figure taken from [46]. (b) Polarisation of prompt J/? (top) and ?(2S) (bottom) from 1.8 TeV p¯ p collisions at the Tevatron. The coloured bands show different NRQCD predictions, Visualised are colour singlet, colour octet and total contributions
, The p T differential J/? cross section in pp collisions at ? s = 200 GeV at the RHIC
, non-prompt with FONLL calculation [66, 67]. (b) Prompt J/? and ?(2S) at 13 TeV measured with CMS [63], compared with NRQCD calculation [65] (middle panel) and with data
, Non-prompt-to-inclusive J/? fraction f b measured by CMS in pp at ? s = 7 and 13 TeV
, Schema of J/? sequential suppression. Figure taken from [42], p.30
, 31 2.14 (a) Measured over expected J/? and ?(2S) as a function of the crossing length, which relates to centrality [96]. (b) Suppression of J/? at mid-and forward rapidity as a function of centrality
, 16 (a) Prompt R AA at midrapidity as a function of p T at ? s NN = 2.76 TeV measured with ALICE
, (b) Centrality dependent forward rapidity R AA at ? s NN = 5
, rapidity for semi-central (20?40%) Pb-Pb collisions at ? s NN = 5, p.34
, Parton distribution functions for valence quarks, sea quarks, and gluon at a scale Q 2 = 10 GeV [110]
, the EPPS16 parametrisation
, The EPPS16 nuclear modification functions for gluons in the lead nucleus at the energy scale Q 2 = 1.69 and 10 GeV 2 [113]
, 39 2.23 (Left) Rapidity differential J/? R dAu for peripheral (top) and central (middle) collisions at ? s NN = 200 GeV measured by PHENIX. The data are compared to theoretical calculation combining EPS09 nPDFs with a absorption cross section (red lines), and with a saturation model (green lines). The ratio of the two centrality classes is shown in the bottom panel. Figure taken from [118]. (Right) R dAu of J/? as a function of p T for (a) backward, (b) mid-and (c) froward rapidity in minimum bias d-Au collisions at ? s NN = 200 GeV measured by PHENIX, The data are compared to theoretical calculation combining EPS09 nPDFs with an absorption cross section
, The J/? nuclear modification as a function of rapidity in Pb-Pb collisions at ? s NN =
, ALICE data are compared with available theoretical calculations. The box around unity shows the correlated uncertainty, p.41
, The p T differential nuclear modification factor for inclusive J/? measured in ALICE in p-Pb at ? s NN = 8.16 TeV. Data are in well described by all available models, pp.131-136
,
, mid-(centre) and forward (right) rapidity. The boxes centred at Q pPb = 1 represent the relative uncertainties correlated over centrality. Comparison with theoretical calculations, Inclusive J/? Q pPb as a function of N coll at backward (left), vol.95, pp.139-141
, Schema of the front absorber of the Muon Spectrometer, p.71
, Schema of detection elements used in MCH. The quadrants used in the Stations 1 and 2 are shown on the left. The slats of the Stations 3, 4 and 5 are pictured on the right. Taken from
, Structure of the RPC in Muon Trigger. Taken from
, , p.75
, The bottom row shows projections of J/? acceptance (left) into the p T axis at ?3.6 < y < ?3.0 and (right) into y axis at 2 < p T < 4 GeV/c, The top row shows the two dimensional A?
, 81 5.3 Schema of the MCH showing the arrangement of individual chambers and stations. Possible track passing responses are shown for Station 1. Stations 4 and 5 are considered as one ensemble (St45). Taken from [221]
, The top row shows the individual distributions as a function of p T , y, ? and muon charge. The bottom row shoes corresponding ratios of data/MC. The distributions correspond to p-Pb data at ? s NN = 8, Comparison of kinematic distributions in data (red) and MC (blue)
, Tracking efficiency estimated as a function of run in the p-Pb period at ? s NN =
, The red points represent data while the blue points represent the MC, vol.87
, Ratio of the tracking efficiency in data and MC as a function of detection element (DE) in Chamber 1. Corresponding to the p-Pb data at ? s NN = 8.16 TeV, vol.87
, 89 5.10 Ratio of the tracking efficiency in data and in MC in the Pb-p period as a function of run, p T , y, and ?. The ratios were computed from the second reconstruction pass of the Pb-p data, MC in the p-Pb period as a function of run
, The ratios were computed from the third reconstruction pass of the Pb-p data. Courtesy of Philippe Pillot, MC in the Pb-p period as a function of run
, Schema of a decay of J/? into a pair of opposite sign muons in the laboratory frame, p.95
, The dimuon invariant mass spectrum in pp collisions at ? s = 5.02 TeV, p.95
, Example of CB2+VWG fit to the dimuon invariant mass spectrum over the range 2.1 < M inv < 4.5 GeV/c in pp collisions at ? s = 5
, T and rapidity as a function of the fit trial in pp collisions at ? s = 5.02 TeV. The solid red line shows the mean value averaged over all trials
, The dashed lines show the standard deviation
, The evolution of A? with time in pp collisions at ? s = 5
, differential A? in pp collisions at ? s = 5.02 TeV. (Left) A? as a function of p T
,
, Top row shows the N corr J/? as a function of p T (left) and y (right). The lines represent variations of the shape assuming Gaussian uncertainty, which are used to re-weight the MC. Bottom row shows the ratio of RMS over average of all re-weighted A?, Variation of MC shape within statistical uncertainty on data, vol.102
, The left column shows the p T differential uncertainty, while the right one shows the y differential. The blue points correspond to the combinations of the extreme shapes, The systematic uncertainty on A? associated to the MC input shape in pp collisions at ? s = 5.02 TeV
, Differential inclusive J/? cross section in pp collisions at ? s = 5.02 TeV. Taken from
,
, Inclusive J/? cross section at forward rapidity as a function of (a) p T and (b) y. Taken from
, p T as a function of ? s. ALICE measurements at forward (full points) and midrapidity
, T in pp at ? s = 13 TeV
, The red (magenta) curve shows the default cut used in the APS to clean the pile-up. Exemplar distributions corresponding to the Pb-p period
, 4) and red line the alternative polynomial form proposed in Eq. (7.2.1.2) for the intermediate tracklet range, N CL versus N tr SPD pile-up cut. The black line represents Eq
, Custom Physics Selection pile-up rejection cuts for CMUL events, p.127
, The top row shows the N tr as a function of run with APS and with CPS. The bottom row shows the ratio of the CPS/APS distributions, Comparison of N tr extracted with CPS and APS in p-Pb and Pb-p in dimuon events
, The z-coordinate of the SPD vertex in p-Pb and Pb-p. The maximum of the distribution is shifted in both period with respect to the nominal interaction point, p.130
, Event averaged number of tracklets N tr versus z-coordinate of the SPD vertex v z before (blue) and after (red) the Poissonian correction using v 0 z = Max{?10, 10}, p.131
, The top left (right) panel shows the distribution of raw (corrected) tracklets N raw (N corr ). The bottom left plot shows projection of the top 2D distributions into the tracklets axis (N raw in black or N corr in red, commonly denoted as N tr ). The bottom right plot shows the projections into the v z axis (N raw in black or N corr in red), Number of tracklets N tr versus v z in CMUL7 triggered events in the p-Pb period, p.132
, The LHC16s period has overall larger multiplicity than LHC16r, which is the usual case in Pb-p collisions compared to p-Pb. (b) N raw vs v z in CMUL7 triggered events in LHC16rs periods renormalised to unity. (c) N raw vs v z in CINT7 triggered events in LHC16rs periods. (d) N raw vs v z in CINT7 triggered events in LHC16rs periods renormalised to unity. (e, f) Comparison between renormalised N raw vs v z in CMUL7 and CINT7 events in LHC16r and LHC16s respectively. The bottom panel shows the ratio of the two histograms. The ratio being consistent with unity, we apply the same correction to both CMUL7 and CINT7 in given period, Event averaged number of tracklets N raw versus v z in CMUL7 and CINT7 triggered event samples. (a) N raw vs v z in CMUL7 triggered events in p-Pb (LHC16r) and Pbp (LHC16s) periods, p.133
, Comparison of N raw (black) distribution and N corr obtained using minimum (blue), mean (green), and maximum (red) in the p-Pb period, Pb data sample, p.134
, In each plot, the bottom panel shows ratio of data/MC unless stated otherwise. (a) ? lab distribution of reconstructed tracklets. (b) ? distribution of reconstructed tracklets. The bottom panel show weighted ratio of data/MC; weights were number of MB events in each ? bin. (c) v z distribution in ?20 < v z < 20 cm. (d) N raw distribution, Pb data (red) and the corresponding DPMJET MC production (blue), p.136
, The top left plot shows the profiles compared between data and the two sets of MC. The top left shows ratio of data/DPMJET with a visible non-flat structure. Bottom left the same for data/EPOS, again a structure is present along z-vertex. Bottom right compares the two generated samples-we see that profiles from different MC are similar, 11 N raw (v z ) profiles in p-Pb period
, 137 7.13 N raw (v z ) (blue) and N corr (v z ) (red) in DPMJET and EPOS Monte Carlo, Same as Fig. 7.11 but for Pb-p period, p.138
,
, The red line shows the pol4 fit to the ratio. The fit was done over an extended range ?15 < v z < 15 cm to prevent edge effects at v z = ±10 cm, Top left panel shows DPMJET p-Pb, top right panel DPMJET Pb-p, bottom left EPOS p-Pb, and bottom right
, Green line denotes the expo*expo fit. Both functions are fit in the range 60 < N raw < 165. The vertical red chequered line shows the cut-off at N raw = 165 above which the weights are set to 1. The middle panel shows the ratio of data/MC ratio histogram and the expo*expo function. The bottom panel shows the ratio of histogram and the expo*pol2 function, p.141
, Used double exponential N raw weight, MC compared with the data
, Example shows DPMJET Pb-p. Note that black (no weight) points are hidden below the green (z-vertex weight) ones. Top row shows the N raw (left) and N corr distributions, the respective bottom panels show the ratio of the weighted distributions with respect to the unweighted one, Effect of run, z-vertex and N raw weights on tracklets distributions and profiles, p.143
, Shown are also fits to the profile, see text for more details. The grey vertical lines denote the limits of N corr bins used in the J/? signal extraction. The N ch ? N corr correlation was weighted by the combined weight, using double exponential N raw weight, N ch ? N corr correlation from the DPMJET MC production for the p-Pb period
, On left are the results obtained from different N ch ? N corr correlation fits (see legend). The projections of N corr intervals into the N ch axis (the MC truth) is drawn in open red circles. The left plot shows the ratios of each of these distributions over the MC truth, N ch computed for each N corr bin in p-Pb
, On left are the results obtained from different N ch ? N corr correlation fits (see legend). The projections of N corr intervals into the N ch axis (the MC truth) is drawn in open red circles. The left plot shows the ratios of each of these distributions over the MC truth, N ch computed for each N corr bin in Pb-p
, The left-hand-side plots show the spread of the different correlation factor ? values in one period with varying generator and N raw weights. The following distributions are shown: DPMJET with double exponential weights (black), DPMJET with no weights (red), DPMJET with Expo*Pol2 weights (green), EPOS with double exponential weights (blue), EPOS with no weights (yellow), EPOS with Expo*Pol2 weights (magenta). The last-but-one two are distributions obtained from distributions corrected by MC profiles: DPMJET with double exponential weights (turquoise), EPOS with double exponential weights (teal). The mauve datapoints show the results obtained with the N corr double exponential weight. The plot on right shows the ratio of each of these distributions over the one obtained from DPMJET with double exponential weights, Systematic uncertainty on the MC input for the p-Pb period
, The left-hand-side plots show the spread of the different correlation factor ? values in one period with varying generator and N raw weights. The following distributions are shown: DPMJET with double exponential weights (black), DPMJET with no weights (red), DPMJET with Expo*Pol2 weights (green), EPOS with double exponential weights (blue), EPOS with no weights (yellow), EPOS with Expo*Pol2 weights (magenta). The last two are distributions obtained from distributions corrected by MC profiles: DPMJET with double exponential weights (turquoise), EPOS with double exponential weights (teal). The plot on right shows the ratio of each of these distributions over the one obtained from DPMJET with double exponential weights, Systematic uncertainty on the MC input for the Pb-p period
, The values were extracted from global fit with ? = 0. The red line shows the v z-integrated value
, Nomenclature: pp13data-extracted from pp data at 13 TeV, pp13MC-extracted from pp MC at 13 TeV, pPb8MC (Pbp8MC)extracted from p-Pb (Pb-p) MC at 8 TeV, pPb8RA (Pbp8RA)-extracted from p-Pb (Pb-p) data at 8 TeV without pile-up or vertex cuts, pPb8JC (Pbp8JC)-extracted from p-Pb (Pb-p) data at 8 TeV with the custom pile-up and vertex cuts used in this analysis
, Used fit: combination CB2+DoubleExponential with p-Pb (Pb-p) tails extracted from data sample with vertex selection over the fit range
,
, Top row shows the p-Pb period, bottom row the Pb-p period. Used fit: combination CB2+Double Exponential with p-Pb (Pb-p) tails extracted from data sample with vertex selection over the fit range 2 < M µ + µ ? < 5 GeV/c 2
, Dashed vertical lines show separate group of tests using a single set of tails
, The example show the one-but-last bin 127, Relative N J/? in the Pb-p period
, Dimuon trigger normalisation factor in p-Pb as a function of run, computed via the two-step offline method
, Dimuon trigger normalisation factor in Pb-p as a function of run, computed via the two-step offline method
, Comparison of F norm in multiplicity intervals computed with three different methods, p.163
, Multiplicity dependent vertex finding NSD event selection efficiency in p-Pb, p.165
, Multiplicity dependent vertex finding NSD event selection efficiency in Pb-p, p.165
, Comparison of the multiplicity dependent relative J/? yields obtained from Poissonian correction with respect of the N raw (v z ) maximum and binomial correction with respect to the N raw (v z ) minimum
, Ratio of relative J/? yields corrected with respect to the minimum and of the relative yields corrected with respect to the maximum of the N raw (v z ), p.167
, Black points denote 'baseline', which is the standard settings used in the whole analysis, red is the same but with different randomisation seed, green and blue stand fro yields obtained from running the task with-0.1 or +0.1 offset respectively. Top right is the same but for relative multiplicity dependent invariant yields. Bottom left and bottom right show ratio of the two with respect to the corresponding baseline, Bin-flow systematic uncertainty in p-Pb. The top left plot shows the invariant yields as a function of multiplicity for each of the task settings
, Black points denote 'baseline', which is the standard settings used in the whole analysis, red is the same but with different randomisation seed, green and blue stand fro yields obtained from running the task with-0.1 or +0.1 offset respectively. Top right is the same but for relative multiplicity dependent invariant yields. Bottom left and bottom right show ratio of the two with respect to the corresponding baseline, Bin-flow systematic uncertainty in Pb-p. The top left plot shows the invariant yields as a function of multiplicity for each of the task settings
, The top left plot shows the invariant yields as a function of multiplicity for each of the task settings. Black points denote 'baseline', which is the standard settings used in the whole analysis, red and green are extracted using SPD pile up cut with argument (3, 0.6) and (5, 0.8) respectively. Top right is the same but for relative multiplicity dependent invariant yields. Bottom left and bottom right show ratio of the two with respect to the corresponding baseline, Pile-up systematic uncertainty in p-Pb, p.172
, The top left plot shows the invariant yields as a function of multiplicity for each of the task settings. Black points denote 'baseline', which is the standard settings used in the whole analysis, red and green are extracted using SPD pile up cut with argument (3, 0.6) and (5, 0.8) respectively. Top right is the same but for relative multiplicity dependent invariant yields. Bottom left and bottom right show ratio of the two with respect to the corresponding baseline, Pile-up systematic uncertainty in Pb-p, p.173
, Pb-going) at ? s NN = 8.16 TeV. The NSD and vertex normalisation uncertainty is quoited separately. The uncertainty on the multiplicity axis is partially correlated in multiplicity, p-Pb (p-going) and Pb-p
, Self-normalised J/? yields as a function of self-normalised charged particle multiplicity in p-Pb and Pb-p at ? s NN = 8.16 TeV divided by the diagonal. The uncertainty on the multiplicity axis is partially correlated in multiplicity
, Multiplicity integrated invariant J/? yields in p-Pb and Pb-p at ? s NN = 8, vol.16
, 176 7.45 The correlation between the ZNA percentile and the N corr in the CINT7-B-NOPFMUFAST triggered p-Pb data sample, Full discs show results of this multiplicity analysis, open circles denote results from R pPb analysis
, The boxes around the centrality dependent data points show the fully uncorrelated systematic uncertainty on the relative yields. The vertical brackets denote the fully correlated systematics on relative yields, Comparison of multiplicity dependent results with results from centrality analysis
, Comparison of multiplicity differential relative J/? yields in p-Pb and Pb-p at ? s NN = 5, p.2
, Double differential A?(p T , y) of the Muon Spectrometer in p-Pb and Pb-p at ? s NN =
,
, The M inv spectrum was fitted with a function combining a CB2 signal + double exponential background + tails extracted in cross section analysis in pp at 13 TeV over a fit range 2 < M inv < 5 GeV/c. The f ( of quadratic and exponential function, A? corrected invariant mass spectrum in p-Pb and the corresponding p T fit
, Pb multiplicity dependent spectra using the following option: M inv described by a combination of NA60 signal + double exponential background with MC tails, f (p T ) described by a quadratic function multiplied by an exponential
, , p.10
, Masses were taken from [1], while radii were quoted from
, Typical momentum fractions for forward J/? (2.5 < y lab < 4.0) at the LHC, p.37
, Dimensions of individual layers of ITS [191], p.61
, Definition of trigger classes used in J/? analysis in pp collisions at ? s = 5.02 TeV, p.94
,
, The J/? acceptance-efficiency in p T bins integrated over 2.5 < y < 4.0 and in bins of y integrated in p T
, The systematic uncertainty on A? associated to the MC input shape as a function of p T (left) and y (right)
, The systematic uncertainty on trigger efficiency associated to the muon p T cut threshold in pp collisions at ? s = 5
,
, Definition of trigger classes used in J/? multiplicity analysis in p-Pb collisions at ? s NN = 8
, The cuts are applied sequentially, i. e. application of each of the cuts implies also application of the previously listed cuts, CMUL7 and CINT7 trigger samples in p-Pb and Pb-p after each pile-up cut
, Number of CMUL7 and CINT7 triggered events in p-Pb and Pb-p after each SPD vertex
, Minimal and maximal values of N tr (v z ) in CMUL7 and CINT7 triggered data, p.134
, , p.146
, dN ch /d? at midrapidity |? lab | < 1
, Sources of systematic uncertainties on the charged-particle multiplicity. Values marked with asterisk are correlated in multiplicity
, Mean corrected number of tracklets N corr and corresponding average number of charged particles N ch in p-Pb and Pb-p periods
, Pb and Pb-p in the multiplicity integrated case and in individual multiplicity bins. We also show sum over all bins and difference ? between and integrated result
, 159 7.11 Normalisation factor computed via the two-step offline method (F off2 norm ), the one step offline method (F off1 norm ) and the rescaling one (F resc norm ) per multiplicity bin for, pp.p-Pb
,
, The values in parentheses correspond to the multiplicity integrated uncertainties related to th signal extraction. Values marked with asterisk are correlated in multiplicity
, Multiplicity dependent relative invariant J/? yields
, The last values bin in Pb-p did not properly converge, therefore we excluded it from the analysis. Uncertainty on the multiplicity not shown
, The last values bin in Pb-p did not properly converge, therefore we excluded it from the analysis. Uncertainty on the multiplicity not shown
, The values in parentheses correspond to the multiplicity integrated uncertainties related to the signal extraction. Values marked with asterisk are correlated in multiplicity
, The global systematic uncertainty includes the uncertainty on the trigger, tracking, and trigger-track matching efficiencies, and on the MC input, Multiplicity integrated p T results
, The analysed data sample consist of 25 runs satisfying the QA section criteria: 244340, LHC15n: pp data at ? s = 5.02 TeV ALICE collected pp data at 5.02 TeV between, 2015.
, The analysed data sample consists of 57 QA selected runs: 265594, LHC16r: p-Pb data at ? s NN = 8.16 TeV ALICE collected p-Pb data at 8.16 TeV from November, vol.18, 2016.
, The analysed data sample consists of 75 QA selected runs: 266437, C.3 LHC16s: Pb-p data at ? s NN = 8.16 TeV ALICE collected Pb-p data at 8.16 TeV from, 2016.