CMS-HIN-23-001 ; CERN-EP-2024-073 | ||
Girth and groomed radius of jets recoiling against isolated photons in lead-lead and proton-proton collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 5.02 TeV | ||
CMS Collaboration | ||
4 May 2024 | ||
Accepted for publication in Phys. Lett. B | ||
Abstract: This Letter presents the first measurements of the groomed jet radius $ R_{\mathrm{g}} $ and the jet girth $ g $ in events with an isolated photon recoiling against a jet in lead-lead (PbPb) and proton-proton (pp) collisions at the LHC at a nucleon-nucleon center-of-mass energy of 5.02 TeV. The observables $ R_{\mathrm{g}} $ and $ g $ provide a quantitative measure of how narrow or broad a jet is. The analysis uses PbPb and pp data samples with integrated luminosities of 1.7 nb$^{-1}$ and 301 pb$^{-1}$, respectively, collected with the CMS experiment in 2018 and 2017. Events are required to have a photon with transverse momentum $ p_{\mathrm{T}}^{\gamma} > $ 100 GeV and at least one jet back-to-back in azimuth with respect to the photon and with transverse momentum $ p_{\mathrm{T}}^{\text{jet}} $ such that $ p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4. The measured $ R_{\mathrm{g}} $ and $ g $ distributions are unfolded to the particle level, which facilitates the comparison between the PbPb and pp results and with theoretical predictions. It is found that jets with $ p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8, i.e.,, those that closely balance the photon $ p_{\mathrm{T}}^{\gamma} $, are narrower in PbPb than in pp collisions. Relaxing the selection to include jets with $ p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 reduces the narrowing of the angular structure of jets in PbPb relative to the pp reference. This shows that selection bias effects associated with jet energy loss play an important role in the interpretation of jet substructure measurements. | ||
Links: e-print arXiv:2405.02737 [hep-ex] (PDF) ; CDS record ; inSPIRE record ; HepData record ; CADI line (restricted) ; |
Figures | |
png pdf |
Figure 1:
Schematic diagram of the potential selection bias due to jet energy loss that may occur when selecting jets based on the their $ p_{\mathrm{T}} $. Broader structures are expected to be more quenched (red line, thicker arrow), whereas narrower structures are expected to be quenched less (blue line, thinner arrow). Combined with the steeply falling jet $ p_{\mathrm{T}} $ spectrum, this can lead to a preferential selection of narrow jets in a given jet $ p_{\mathrm{T}} $ interval, as indicated by the vertical rectangular box. The dashed curve represents the jet $ p_{\mathrm{T}} $ spectrum in the absence of medium-induced jet modifications. |
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Figure 2:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4. The upper panels show the comparison of the observable in pp collisions and predictions from simulated events. The lower panels show the corresponding ratios of the MC calculations and data. The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 2-a:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4. The upper panels show the comparison of the observable in pp collisions and predictions from simulated events. The lower panels show the corresponding ratios of the MC calculations and data. The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 2-b:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4. The upper panels show the comparison of the observable in pp collisions and predictions from simulated events. The lower panels show the corresponding ratios of the MC calculations and data. The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 3:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8. The upper panels show the comparison of the observable in pp collisions and predictions from simulated events. The lower panels show the corresponding ratios of the MC calculations and data. The bands represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 3-a:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8. The upper panels show the comparison of the observable in pp collisions and predictions from simulated events. The lower panels show the corresponding ratios of the MC calculations and data. The bands represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 3-b:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8. The upper panels show the comparison of the observable in pp collisions and predictions from simulated events. The lower panels show the corresponding ratios of the MC calculations and data. The bands represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 4:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 4-a:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 4-b:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 5:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 5-a:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 5-b:
Unfolded distributions of jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The bands represent the total uncertainties, whereas the vertical bars represent the statistical uncertainties. |
png pdf |
Figure 6:
Ratio of the normalized yields of PbPb to pp data for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The data are compared with the hybrid model predictions for $ L_{\text{res}} = $ 0 (upper) and for nonzero values of $ L_{\text{res}} $ without elastic scattering (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 6-a:
Ratio of the normalized yields of PbPb to pp data for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The data are compared with the hybrid model predictions for $ L_{\text{res}} = $ 0 (upper) and for nonzero values of $ L_{\text{res}} $ without elastic scattering (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 6-b:
Ratio of the normalized yields of PbPb to pp data for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The data are compared with the hybrid model predictions for $ L_{\text{res}} = $ 0 (upper) and for nonzero values of $ L_{\text{res}} $ without elastic scattering (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 6-c:
Ratio of the normalized yields of PbPb to pp data for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The data are compared with the hybrid model predictions for $ L_{\text{res}} = $ 0 (upper) and for nonzero values of $ L_{\text{res}} $ without elastic scattering (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 6-d:
Ratio of the normalized yields of PbPb to pp data for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 (selecting both more and less quenched jets). The data are compared with the hybrid model predictions for $ L_{\text{res}} = $ 0 (upper) and for nonzero values of $ L_{\text{res}} $ without elastic scattering (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 7:
Ratio of the normalized yields of PbPb to pp for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The data are compared with the hybrid predictions for $ L_{\text{res}} = $ 0 (upper) and nonzero values of $ L_{\text{res}} $ without elastic scatterings (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 7-a:
Ratio of the normalized yields of PbPb to pp for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The data are compared with the hybrid predictions for $ L_{\text{res}} = $ 0 (upper) and nonzero values of $ L_{\text{res}} $ without elastic scatterings (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 7-b:
Ratio of the normalized yields of PbPb to pp for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The data are compared with the hybrid predictions for $ L_{\text{res}} = $ 0 (upper) and nonzero values of $ L_{\text{res}} $ without elastic scatterings (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 7-c:
Ratio of the normalized yields of PbPb to pp for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The data are compared with the hybrid predictions for $ L_{\text{res}} = $ 0 (upper) and nonzero values of $ L_{\text{res}} $ without elastic scatterings (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
png pdf |
Figure 7-d:
Ratio of the normalized yields of PbPb to pp for jet girth $ g $ (left) and groomed jet radius $ R_{\mathrm{g}} $ (right) of photon-tagged jets in PbPb and pp collisions for $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8 (selecting less quenched jets). The data are compared with the hybrid predictions for $ L_{\text{res}} = $ 0 (upper) and nonzero values of $ L_{\text{res}} $ without elastic scatterings (lower). The bands around the data points represent the total experimental uncertainties, whereas the vertical bars represent the statistical uncertainties. The uncertainties in the PbPb-to-pp ratio have been obtained assuming the PbPb and pp measurements are uncorrelated. The bands around the theory predictions represent the statistical uncertainties of the prediction. |
Tables | |
png pdf |
Table 1:
Summary of bin-by-bin percentual relative uncertainties for $ x_{\gamma \mathrm{j}} > $ 0.4. |
png pdf |
Table 2:
Summary of bin-by-bin percentual relative uncertainties for $ x_{\gamma \mathrm{j}} > $ 0.8. |
Summary |
In summary, we report the first measurements girth $ g $ and the groomed jet radius $ R_{\mathrm{g}} $ of jets recoiling against isolated photons in lead-lead (PbPb) and proton-proton (pp) collisions. The analysis uses PbPb and pp collision data, both at a nucleon-nucleon center-of-mass energy of 5.02 TeV. The distributions are unfolded to the particle level in order to facilitate comparisons between experiments and with theoretical predictions. The transverse momentum $ p_{\mathrm{T}} $ of isolated photons ($ p_{\mathrm{T}}^{\gamma} $) can be used as a proxy for the $ p_{\mathrm{T}} $ of the high-virtuality parton that initiates the shower of the recoiling jet. This enables the disentanglement of the potential modification of the momentum and angular substructure of jets due to the interactions with the medium from the selection bias effects that can originate from jet energy loss. This is done using the transverse momentum imbalance, defined as the ratio of the hardest recoil jet $ p_{\mathrm{T}} $ ($ p_{\mathrm{T}}^{\text{jet}} $) and $ p_{\mathrm{T}}^{\gamma} $, $ x_{\gamma \mathrm{j}} \equiv p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} $. It is found that jets with $ p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.8, i.e.,, those that closely balance the photon $ p_{\mathrm{T}}^{\gamma} $, are narrower in PbPb than in pp collisions. Relaxing the selection to include jets with $ p_{\mathrm{T}}^{\text{jet}}/p_{\mathrm{T}}^{\gamma} > $ 0.4 reduces the narrowing of the angular structure of jets in PbPb relative to the pp reference. These observations suggest that selection bias effects play an important role in the interpretation of the modification of the angular scales of jets in terms of medium-induced effects. The measured distributions are compared with calculations based on a hybrid strong and weak coupling model to describe medium-induced jet modifications. According to model predictions, the $ R_{\mathrm{g}} $ and $ g $ distributions are not very sensitive to medium response effects or to variations of the medium resolution length. However, changes in the modeling of Moli\`ere elastic scatterings have an effect of 10--40% at large values of $ g $ and $ R_{\mathrm{g}} $. This shows the ability of the data to constrain the impact of Moli\`ere scatterings in a way that is effectively factorized from the effects of the wake and the medium resolution length. Medium-induced jet modifications are commonly assessed by comparing jets and their substructure at the same reconstructed $ p_{\mathrm{T}} $ in PbPb and pp collisions, which in the former case corresponds to the momentum of the jet after its interactions with the quark gluon plasma. These interactions are expected to broaden the jet and reduce its energy. Thus, in an inclusive jet measurement, when comparing populations of jets in PbPb and pp within the same measured jet $ p_{\mathrm{T}} $ window, a selection bias can lead to an effective narrowing of the angular structure of jets in PbPb relative to pp. One possibility is that the population of jets that were initially broader (hence, more strongly quenched jets) has migrated to lower jet energies, whereas the population of narrower jets (less strongly quenched jets) remains. Thus, events with high-$ p_{\mathrm{T}} $ jets recoiling against energetic isolated photons can be used to better constrain genuine medium modifications of the jet shower, complementing measurements in inclusive jet production. |
References | ||||
1 | W. Busza, K. Rajagopal, and W. van der Schee | Heavy ion collisions: the big picture and the big questions | Ann. Rev. Nucl. Part. Sci. 68 (2018) 339 | 1802.04801 |
2 | A. Adams et al. | Strongly correlated quantum fluids: ultracold quantum gases, quantum chromodynamic plasmas, and holographic duality | New J. Phys. 14 (2012) 115009 | 1205.5180 |
3 | J. D. Bjorken | Highly relativistic nucleus-nucleus collisions: the central rapidity region | PRD 27 (1983) 140 | |
4 | G.-Y. Qin and X.-N. Wang | Jet quenching in high-energy heavy ion collisions | Int. J. Mod. Phys. E 24 (2015) 1530014 | 1511.00790 |
5 | J.-P. Blaizot and Y. Mehtar-Tani | Jet structure in heavy ion collisions | Int. J. Mod. Phys. E 24 (2015) 1530012 | 1503.05958 |
6 | J. Casalderrey-Solana and C. A. Salgado | Introductory lectures on jet quenching in heavy ion collisions | Acta Phys. Polon. B 38 (2007) 3731 | 0712.3443 |
7 | M. Gyulassy and M. Plumer | Jet quenching in dense matter | PLB 243 (1990) 432 | |
8 | R. Baier et al. | Radiative energy loss of high-energy quarks and gluons in a finite volume quark-gluon plasma | NPB 483 (1997) 291 | hep-ph/9607355 |
9 | R. Baier et al. | Radiative energy loss and $ p_{\mathrm{T}} $ broadening of high-energy partons in nuclei | NPB 484 (1997) 265 | hep-ph/9608322 |
10 | J. Casalderrey-Solana and E. Iancu | Interference effects in medium-induced gluon radiation | JHEP 08 (2011) 015 | 1105.1760 |
11 | Y. Mehtar-Tani, C. A. Salgado, and K. Tywoniuk | Anti-angular ordering of gluon radiation in QCD media | PRL 106 (2011) 122002 | 1009.2965 |
12 | J. Casalderrey-Solana, Y. Mehtar-Tani, C. A. Salgado, and K. Tywoniuk | New picture of jet quenching dictated by color coherence | PLB 725 (2013) 357 | 1210.7765 |
13 | F. D'Eramo, M. Lekaveckas, H. Liu, and K. Rajagopal | Momentum broadening in weakly coupled quark-gluon plasma (with a view to finding the quasiparticles within liquid quark-gluon plasma) | JHEP 05 (2013) 031 | 1211.1922 |
14 | F. D'Eramo, K. Rajagopal, and Y. Yin | Moli\`ere scattering in quark-gluon plasma: finding point-like scatterers in a liquid | JHEP 01 (2019) 172 | 1808.03250 |
15 | CMS Collaboration | Observation and studies of jet quenching in PbPb collisions at nucleon-nucleon center-of-mass energy $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 2.76 TeV | Phys. Rev. C 84 (2011) 024906 | CMS-HIN-10-004 1102.1957 |
16 | CMS Collaboration | First measurement of large area jet transverse momentum spectra in heavy ion collisions | JHEP 05 (2021) 284 | CMS-HIN-18-014 2102.13080 |
17 | CMS Collaboration | Study of jet quenching with isolated-photon+jet correlations in PbPb and pp collisions at $ \sqrt{s_{_{\mathrm{NN}}}} = $ 5.02 TeV | PLB 785 (2018) 14 | CMS-HIN-16-002 1711.09738 |
18 | CMS Collaboration | Measurement of the Splitting Function in $ pp $ and Pb-Pb Collisions at $ \sqrt{s_{_{\mathrm{NN}}}} = $ 5.02 TeV | PRL 120 (2018) 142302 | CMS-HIN-16-006 1708.09429 |
19 | ALICE Collaboration | Measurement of jet quenching with semi-inclusive hadron-jet distributions in central PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}}= $ 2.76 TeV | JHEP 09 (2015) 170 | 1506.03984 |
20 | ALICE Collaboration | Measurements of inclusive jet spectra in pp and central PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}}= $ 5.02 TeV | Phys. Rev. C 101 (2020) 034911 | 1909.09718 |
21 | ALICE Collaboration | Exploration of jet substructure using iterative declustering in pp and PbPb collisions at LHC energies | PLB 802 (2020) 135227 | 1905.02512 |
22 | ALICE Collaboration | Medium modification of the shape of small-radius jets in central PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 2.76 TeV | JHEP 10 (2018) 139 | 1807.06854 |
23 | ATLAS Collaboration | Measurement of jet fragmentation in PbPb and pp collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 5.02 TeV with the ATLAS detector | Phys. Rev. C 98 (2018) 024908 | 1805.05424 |
24 | ATLAS Collaboration | Measurement of photon-jet transverse momentum correlations in 5.02 TeV PbPb and pp collisions with ATLAS | PLB 789 (2019) 167 | 1809.07280 |
25 | ATLAS Collaboration | Comparison of fragmentation functions for jets dominated by light quarks and gluons from pp and PbPb collisions in ATLAS | PRL 123 (2019) 042001 | 1902.10007 |
26 | STAR Collaboration | Measurement of groomed jet substructure observables in pp collisions at $ \sqrt{s} = $ 200 GeV with STAR | PLB 811 (2020) 135846 | 2003.02114 |
27 | STAR Collaboration | Differential measurements of jet substructure and partonic energy loss in AuAu collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 200 GeV | Phys. Rev. C 105 (2022) 044906 | 2109.09793 |
28 | L. Apolinário, Y.-J. Lee, and M. Winn | Heavy quarks and jets as probes of the QGP | Prog. Part. Nucl. Phys. 127 (2022) 103990 | 2203.16352 |
29 | L. Cunqueiro and A. M. Sickles | Studying the QGP with jets at the LHC and RHIC | Prog. Part. Nucl. Phys. 124 (2022) 103940 | 2110.14490 |
30 | J. M. Butterworth, A. R. Davison, M. Rubin, and G. P. Salam | Jet substructure as a new Higgs search channel at the LHC | PRL 100 (2008) 242001 | 0802.2470 |
31 | A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler | Soft drop | JHEP 05 (2014) 146 | 1402.2657 |
32 | A. J. Larkoski, D. Neill, and J. Thaler | Jet shapes with the broadening axis | JHEP 04 (2014) 017 | 1401.2158 |
33 | Y. Mehtar-Tani and K. Tywoniuk | Groomed jets in heavy ion collisions: sensitivity to medium-induced bremsstrahlung | JHEP 04 (2017) 125 | 1610.08930 |
34 | H. A. Andrews et al. | Novel tools and observables for jet physics in heavy ion collisions | JPG 47 (2020) 065102 | 1808.03689 |
35 | P. Caucal, E. Iancu, A. H. Mueller, and G. Soyez | Vacuum-like jet fragmentation in a dense QCD medium | PRL 120 (2018) 232001 | 1801.09703 |
36 | P. Caucal, A. Soto-Ontoso, and A. Takacs | Dynamically groomed jet radius in heavy ion collisions | PRD 105 (2022) 114046 | 2111.14768 |
37 | ALICE Collaboration | Measurement of the groomed jet radius and momentum splitting fraction in pp and PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 5.02 TeV | PRL 128 (2022) 102001 | 2107.12984 |
38 | ATLAS Collaboration | Measurement of substructure-dependent jet suppression in PbPb collisions at 5.02 TeV with the ATLAS detector | Phys. Rev. C 107 (2023) 054909 | 2211.11470 |
39 | J. Brewer, J. G. Milhano, and J. Thaler | Sorting out quenched jets | PRL 122 (2019) 222301 | 1812.05111 |
40 | Y.-L. Du, D. Pablos, and K. Tywoniuk | Deep learning jet modifications in heavy ion collisions | JHEP 21 (2020) 206 | 2012.07797 |
41 | J. Brewer, Q. Brodsky, and K. Rajagopal | Disentangling jet modification in jet simulations and in Z+jet data | JHEP 02 (2022) 175 | 2110.13159 |
42 | CMS Collaboration | The production of isolated photons in PbPb and pp collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 5.02 TeV | JHEP 07 (2020) 116 | CMS-HIN-18-016 2003.12797 |
43 | ATLAS Collaboration | Centrality, rapidity and transverse momentum dependence of isolated prompt photon production in lead-lead collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 2.76 TeV measured with the ATLAS detector | Phys. Rev. C 93 (2016) 034914 | 1506.08552 |
44 | ALICE Collaboration | Direct photon production in PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 2.76 TeV | PLB 754 (2016) 235 | 1509.07324 |
45 | STAR Collaboration | Direct virtual photon production in AuAu collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 200 GeV | PLB 770 (2017) 451 | 1607.01447 |
46 | PHENIX Collaboration | Centrality dependence of direct photon production in $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 200 GeV AuAu collisions | PRL 94 (2005) 232301 | nucl-ex/0503003 |
47 | CMS Collaboration | Measurement of the differential cross section for isolated prompt photon production in pp collisions at 7 TeV | PRD 84 (2011) 052011 | CMS-QCD-10-037 1108.2044 |
48 | T. Becher, S. Favrod, and X. Xu | QCD anatomy of photon isolation | JHEP 01 (2023) 005 | 2208.01554 |
49 | CMS Collaboration | Jet Shapes of Isolated Photon-Tagged Jets in Pb-Pb and pp Collisions at $ \sqrt {\smash [b]{s_{_{\mathrm {NN}}}}} = $ 5.02 TeV | PRL 122 (2019) 152001 | CMS-HIN-18-006 1809.08602 |
50 | CMS Collaboration | Observation of medium-induced modifications of jet fragmentation in PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}}= $ 5.02 TeV using isolated photon-tagged jets | PRL 121 (2018) 242301 | CMS-HIN-16-014 1801.04895 |
51 | W. T. Giele, E. W. N. Glover, and D. A. Kosower | Jet investigations using the radial moment | PRD 57 (1998) 1878 | hep-ph/9706210 |
52 | R. Kunnawalkam Elayavalli and K. C. Zapp | Medium response in JEWEL and its impact on jet shape observables in heavy ion collisions | JHEP 07 (2017) 141 | 1707.01539 |
53 | R.-Z. Wan et al. | Jet shape modification at LHC energies by JEWEL | Chin. Phys. C 43 (2019) 054110 | 1812.10062 |
54 | CMS Collaboration | HEPData record for this analysis | link | |
55 | CMS Collaboration | CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV | CMS Physics Analysis Summary, 2019 CMS-PAS-LUM-18-002 |
CMS-PAS-LUM-18-002 |
56 | CMS Collaboration | Luminosity measurement in proton-proton collisions at 5.02 TeV in 2017 at CMS | CMS Physics Analysis Summary, 2021 CMS-PAS-LUM-19-001 |
CMS-PAS-LUM-19-001 |
57 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) S08004 | |
58 | CMS Collaboration | Development of the CMS detector for the CERN LHC Run 3 | Submitted to JINST, 2023 | CMS-PRF-21-001 2309.05466 |
59 | CMS Collaboration | Performance of the CMS Level-1 trigger in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | JINST 15 (2020) P10017 | CMS-TRG-17-001 2006.10165 |
60 | CMS Collaboration | The CMS trigger system | JINST 12 (2017) P01020 | CMS-TRG-12-001 1609.02366 |
61 | CMS Collaboration | Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC | JINST 16 (2021) P05014 | CMS-EGM-17-001 2012.06888 |
62 | CMS Collaboration | Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JINST 13 (2018) P06015 | CMS-MUO-16-001 1804.04528 |
63 | CMS Collaboration | Description and performance of track and primary-vertex reconstruction with the CMS tracker | JINST 9 (2014) P10009 | CMS-TRK-11-001 1405.6569 |
64 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) P10003 | CMS-PRF-14-001 1706.04965 |
65 | CMS Collaboration | Performance of reconstruction and identification of $ \tau $ leptons decaying to hadrons and $ \nu_\tau $ in pp collisions at $ \sqrt{s}= $ 13 TeV | JINST 13 (2018) P10005 | CMS-TAU-16-003 1809.02816 |
66 | CMS Collaboration | Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV | JINST 12 (2017) P02014 | CMS-JME-13-004 1607.03663 |
67 | CMS Collaboration | Performance of missing transverse momentum reconstruction in proton-proton collisions at $ \sqrt{s} = $ 13 TeV using the CMS detector | JINST 14 (2019) P07004 | CMS-JME-17-001 1903.06078 |
68 | C. Loizides, J. Kamin, and D. d'Enterria | Improved Monte Carlo Glauber predictions at present and future nuclear colliders | Phys. Rev. C 97 (2018) 054910 | 1710.07098 |
69 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-$ k_{\mathrm{T}} $ jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
70 | P. Berta, M. Spousta, D. W. Miller, and R. Leitner | Particle-level pileup subtraction for jets and jet shapes | JHEP 06 (2014) 092 | 1403.3108 |
71 | O. Kodolova, I. Vardanyan, A. Nikitenko, and A. Oulianov | The performance of the jet identification and reconstruction in heavy ions collisions with CMS detector | EPJC 50 (2007) 117 | |
72 | ALICE Collaboration | Measurement of event background fluctuations for charged particle jet reconstruction in PbPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 2.76 TeV | JHEP 03 (2012) 053 | 1201.2423 |
73 | CMS Collaboration | Determination of jet energy calibration and transverse momentum resolution in CMS | JINST 6 (2011) P11002 | CMS-JME-10-011 1107.4277 |
74 | T. Sj$\text ö $strand et al. | An introduction to PYTHIA8.2 | Comput. Phys. Commun. 191 (2015) 159 | 1410.3012 |
75 | CMS Collaboration | Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements | EPJC 80 (2020) 4 | CMS-GEN-17-001 1903.12179 |
76 | S. Gieseke, P. Stephens, and B. Webber | New formalism for QCD parton showers | JHEP 12 (2003) 045 | hep-ph/0310083 |
77 | NNPDF Collaboration | Parton distributions for the LHC Run II | JHEP 04 (2015) 040 | 1410.8849 |
78 | B. R. Webber | A QCD model for jet fragmentation including soft gluon interference | NPB 238 (1984) 492 | |
79 | CMS Collaboration | Development and validation of HERWIG 7 tunes from CMS underlying-event measurements | EPJC 81 (2021) 312 | CMS-GEN-19-001 2011.03422 |
80 | GEANT 4 Collaboration | GEANT 4---a simulation toolkit | NIM A 506 (2003) 250 | |
81 | I. P. Lokhtin and A. M. Snigirev | A model of jet quenching in ultrarelativistic heavy ion collisions and high-$ p_{\mathrm{T}} $ hadron spectra at RHIC | EPJC 45 (2006) 211 | hep-ph/0506189 |
82 | Y. L. Dokshitzer, G. D. Leder, S. Moretti, and B. R. Webber | Better jet clustering algorithms | JHEP 08 (1997) 001 | hep-ph/9707323 |
83 | M. Wobisch and T. Wengler | Hadronization corrections to jet cross-sections in deep inelastic scattering | in Workshop on Monte Carlo Generators for HERA Physics (Plenary Starting Meeting), 1998 | hep-ph/9907280 |
84 | J. Mulligan and M. Ploskon | Identifying groomed jet splittings in heavy ion collisions | Phys. Rev. C 102 (2020) 044913 | 2006.01812 |
85 | M. Dasgupta, L. Magnea, and G. P. Salam | Nonperturbative QCD effects in jets at hadron colliders | JHEP 02 (2008) 055 | 0712.3014 |
86 | H. Voss, A. Höcker, J. Stelzer, and F. Tegenfeldt | TMVA, the toolkit for multivariate data analysis with ROOT | in XIth International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT), [PoS(ACAT)040], 2007 link |
physics/0703039 |
87 | D. d'Enterria and J. Rojo | Quantitative constraints on the gluon distribution function in the proton from collider isolated-photon data | NPB 860 (2012) 311 | 1202.1762 |
88 | G. D'Agostini | A multidimensional unfolding method based on Bayes' theorem | NIM A 362 (1995) 487 | |
89 | T. Adye | Unfolding algorithms and tests using RooUnfold | in PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding PHYSTAT 2011 (2011) 313 |
1105.1160 |
90 | J. Bellm et al. | HERWIG 7.0/ HERWIG++ 3.0 release note | EPJC 76 (2016) 196 | 1512.01178 |
91 | J. Bellm et al. | HERWIG 7.2 release note | EPJC 80 (2020) 452 | 1912.06509 |
92 | CMS Collaboration | Study of quark and gluon jet substructure in Z+jet and dijet events from pp collisions | JHEP 01 (2022) 188 | CMS-SMP-20-010 2109.03340 |
93 | W. T. Giele, D. A. Kosower, and P. Z. Skands | A simple shower and matching algorithm | PRD 78 (2008) 014026 | 0707.3652 |
94 | S. Höche and S. Prestel | The midpoint between dipole and parton showers | EPJC 75 (2015) 461 | 1506.05057 |
95 | A. Gehrmann-De Ridder, T. Gehrmann, and E. W. N. Glover | Antenna subtraction at NNLO | JHEP 09 (2005) 056 | hep-ph/0505111 |
96 | H. Brooks, C. T. Preuss, and P. Skands | Sector showers for hadron collisions | JHEP 07 (2020) 032 | 2003.00702 |
97 | S. Catani and M. H. Seymour | A general algorithm for calculating jet cross sections in NLO QCD | NPB 485 (1997) 291 | hep-ph/9605323 |
98 | J. Casalderrey-Solana et al. | A hybrid strong/weak coupling approach to jet quenching | JHEP 10 (2014) 019 | 1405.3864 |
99 | P. Skands, S. Carrazza, and J. Rojo | Tuning PYTHIA8.1: the Monash 2013 tune | EPJC 74 (2014) 3024 | 1404.5630 |
100 | J. Casalderrey-Solana et al. | Jet wake from linearized hydrodynamics | JHEP 05 (2021) 230 | 2010.01140 |
101 | Z. Hulcher, D. Pablos, and K. Rajagopal | Resolution effects in the hybrid strong/weak coupling model | JHEP 03 (2018) 010 | 1707.05245 |
Compact Muon Solenoid LHC, CERN |