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CMS-HIN-18-014 ; CERN-EP-2020-226
First measurement of large area jet transverse momentum spectra in heavy-ion collisions
JHEP 05 (2021) 284
Abstract: Jet production in lead-lead (PbPb) and proton-proton (pp) collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV is studied with the CMS detector at the LHC, using PbPb and pp data samples corresponding to integrated luminosities of 404 $\mu$b$^{-1}$ and 27.4 pb$^{-1}$, respectively. Jets with different areas are reconstructed using the anti-$k_{\mathrm{T}}$ algorithm by varying the distance parameter $R$. The measurements are performed using jets with transverse momenta (${p_{\mathrm{T}}}$) greater than 200 GeV and in a pseudorapidity range of $|\eta| < $ 2. To reveal the medium modification of the jet spectra in PbPb collisions, the properly normalized ratio of spectra from PbPb and pp data is used to extract jet nuclear modification factors as functions of the PbPb collision centrality, ${p_{\mathrm{T}}}$ and, for the first time, as a function of $R$ up to 1.0. For the most central collisions, a strong suppression is observed for high-${p_{\mathrm{T}}}$ jets reconstructed with all distance parameters, implying that a significant amount of jet energy is scattered to large angles. The dependence of jet suppression on $R$ is expected to be sensitive to both the jet energy loss mechanism and the medium response, and so the data are compared to several modern event generators and analytic calculations. The models considered do not fully reproduce the data.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
(Color online) Azimuthal angle distributions for a single PbPb event: $\phi $ modulations at mid-rapidity $ {| \eta |} < 1$ (left) and forward rapidity 1 $ < {| \eta |} < $ 2 (right) of charged-hadron PF candidates. The $v_2$ (blue curve) and $v_3$ (yellow curve) of the flow components are shown, together with the total modulation used in the analysis to account for the background (red curve). The flow coefficients are extracted from the left plot and overlaid in the right plot.

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Figure 2:
The energy scale $\mu $ (upper) and resolution $\sigma /\mu $ (lower) for PbPb anti-$ {k_{\mathrm {T}}}$ jets with $ {| {\eta ^\text {jet}} |} < $ 2, as functions of generated ${{p_{\mathrm {T}}} ^\text {jet}}$. The left (right) column shows jets with $R=$ 0.2 (1.0). Several different centrality classes are shown.

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Figure 3:
Response matrices in PYTHIA (left) and PYTHIA+HYDJET 0-10% PbPb (right) events for jets reconstructed with $R=$ 0.2 (upper), $R=$ 1.0 (lower) and $ {| {\eta ^\text {jet}} |} < $ 2. The integral for each generated ${{p_{\mathrm {T}}} ^\text {jet}}$ bin is normalized to unity.

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Figure 4:
Relative systematic uncertainties for the spectra of anti-$ {k_{\mathrm {T}}}$ jets within $ {| {\eta ^\text {jet}} |} < $ 2.0 for pp collisions (left), and PbPb with centrality classes 50-90%, 30-50%, 10-30%, and 0-10% (rightmost plot). The upper plots are for jets with $R=$ 0.2 and the lower plots for jets with $R=$ 1.0.

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Figure 5:
Spectra of jets with $ {| {\eta ^\text {jet}} |} < $ 2.0 for $R=$ 0.2 (left) and $R=$ 1.0 (right), for pp collisions and different centrality classes of PbPb collisions. The spectra are multiplied by successive factors of 10 for clarity. The statistical uncertainties are smaller than the marker sizes, while the systematic uncertainties are shown as shaded boxes. The markers are placed at the bin centers.

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Figure 6:
The spectra ratio for jets from pp collisions with $ {| {\eta ^\text {jet}} |} < $ 2.0 for $R=$ 0.2-$0.8$ with respect to $R=$ 1.0. The statistical uncertainty of data is shown as vertical lines, whereas the systematic uncertainties are shown as the shaded boxes. Markers for the data are placed at the bin centers. Comparisons with PYTHIA 6 (solid line) and PYTHIA 8 (dotted line) are plotted, along with ratios in the lower plot for $R=$ 0.2 and $R=$ 0.4.

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Figure 7:
The ${R_{\mathrm {AA}}}$ for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0 as functions of ${{p_{\mathrm {T}}} ^\text {jet}}$ for various $R$ and centrality classes. The statistical uncertainties are represented by vertical lines, and the systematic uncertainties by shaded boxes. The markers are placed at the bin centers. Global uncertainties (integrated luminosity for pp and $< T_{\mathrm {AA}}>$ for PbPb data) are shown as colored boxes on the dashed line at $ {R_{\mathrm {AA}}} = $ 1 and are not included in the shaded boxes around the points.

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Figure 8:
The ${R_{\mathrm {AA}}}$ ratio for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0 as a function of $R$ for $R=$ 0.3-1.0 with respect to $R=$ 0.2, in various event centrality classes and ${{p_{\mathrm {T}}} ^\text {jet}}$ ranges. The statistical uncertainties of data are shown as the vertical lines, whereas the systematic uncertainties are shown as the shaded boxes.

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Figure 9:
The ${R_{\mathrm {AA}}}$ for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0, as a function of ${{p_{\mathrm {T}}} ^\text {jet}}$, for various $R$ and 0-10% centrality class. The statistical uncertainties are represented by the vertical lines, while the systematic uncertainties are shown as the shaded boxes. The markers are placed at the bin centers. Global uncertainties (integrated luminosity for pp and $< T_{\mathrm {AA}}>$ for PbPb collisions) are shown as the colored boxes on the dashed line at $ {R_{\mathrm {AA}}} = $ 1 and are not included in the shaded bands around the points. The predictions from JEWEL (fuchsia and pink) and PYQUEN (teal and turquoise) generators, shown as colored boxes, are compared to the data.

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Figure 10:
The ${R_{\mathrm {AA}}}$ ratio for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0 as a function of $R$ for $R=$ 0.3-1.0 with respect to $R=$ 0.2, in various ${{p_{\mathrm {T}}} ^\text {jet}}$ ranges for the 0-10% centrality class. The statistical uncertainties of data are shown as the vertical lines, whereas the systematic uncertainties are shown as the shaded boxes. The width of the boxes carries no meaning. The predictions from JEWEL (fuchsia and pink) and PYQUEN (teal and turquoise) generators, shown with the colored bands, are compared to the data.

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Figure 11:
The ${R_{\mathrm {AA}}}$ for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0, as a function of ${{p_{\mathrm {T}}} ^\text {jet}}$, for various $R$ values and the 0-10% centrality class. The statistical uncertainties are represented by vertical lines, while the systematic uncertainties are shown as shaded boxes. The markers are placed at the bin centers. Global uncertainties (integrated luminosity for pp and $< T_{\mathrm {AA}}>$ for PbPb collisions) are shown as the colored boxes on the dashed line at ${R_{\mathrm {AA}}} =$ 1 and are not included in the shaded bands around the points. The predictions from HYBRID (dark orange, brown and yellow), MARTINI (purple), LBT (lime and dark green), and CCNU (blue and violet) models, shown as the colored boxes and bands, are compared to the data.

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Figure 12:
The double ratio ${R_{\mathrm {AA}}^R/R_\mathrm {AA}^{R=0.2}}$ for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0, as a function of $R$, for $R=$ 0.3-1.0 with respect to $R=$ 0.2, in various ${{p_{\mathrm {T}}} ^\text {jet}}$ ranges for the 0-10% centrality class. The statistical uncertainties of data are shown as the vertical lines, whereas the systematic uncertainties are shown as the shaded boxes. The width of the boxes carries no meaning. The predictions from the HYBRID (dark orange, brown and yellow), MARTINI (purple), and LBT (lime and dark green) models are compared to the data as colored bands.

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Figure 13:
The ${R_{\mathrm {AA}}}$ for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0, as a function of ${{p_{\mathrm {T}}} ^\text {jet}}$, for various $R$ values and 0-10% centrality class. The statistical uncertainties are represented by the vertical lines, while the systematic uncertainties are shown as the shaded boxes. The markers are placed at the bin centers. Global uncertainties (integrated luminosity for pp and $< T_{\mathrm {AA}}>$ for PbPb collisions) are shown as the colored boxes on the dashed line at $ {R_{\mathrm {AA}}} = $ 1 and are not included in the shaded bands around the points. The calculations from Scet (sky blue and navy blue), coherent antenna bdmps (orange) and jet factorization (gray) formalisms are compared to the data, shown as the colored boxes and bands.

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Figure 14:
The double ratio ${R_{\mathrm {AA}}^R/R_\mathrm {AA}^{R=0.2}}$ for jets with $ {| {\eta ^\text {jet}} |} < $ 2.0 as a function of $R$ for $R=$ 0.3-1.0 with respect to $R=$ 0.2, in various ${{p_{\mathrm {T}}} ^\text {jet}}$ ranges for the 0-10% centrality class. The statistical uncertainties of data are shown as the vertical lines, whereas the systematic uncertainties are shown as the shaded boxes. The width of the boxes carries no meaning. The calculations based from Scet (sky blue and navy blue), coherent antenna bdmps (orange) and, jet factorization (gray) formalisms, shown with the colored bands and boxes, are compared to the data.
Tables

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Table 1:
The values of $< {N_{\text {coll}}}> $ and $< T_{\mathrm {AA}}>$, and their uncertainties in $ {\sqrt {\smash [b]{s_{_{\mathrm {NN}}}}}} = $ 5.02 TeV PbPb collisions for the centrality ranges used in this analysis [50].
Summary
Measurements of jet nuclear modification factors based on proton-proton and lead-lead collisions at ${\sqrt {\smash [b]{s_{_{\mathrm {NN}}}}}} = $ 5.02 TeV are presented. For the first time, jet spectra measurements are extended to large area jets, with a anti-$k_{\mathrm{T}}$ distance parameter $R$ up to 1.0. For the most central PbPb collisions, a strong suppression is observed for jets with high transverse momentum reconstructed with all distance parameters. Predictions from quenched jet event generators, theoretical models, and analytical calculations are compared to these results. The new data place further constraints on the underlying jet quenching mechanisms. While state of the art models have made important progress, significant tension remains in view of the large area jet data presented here.
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