Figure 1: Fully unfolded measurement of the SoftDrop groomed subjet shared momentum fraction (z_g) in p+p collisions at \sqrt{s} = 200 GeV for anti-k_t R=0.4 Charged + Neutral jets of varying transverse momenta (10 < p_T < 15 GeV in top left to 40 < p_T < 60 GeV in bottom right). The data in solid red star markers with systematic uncertainties represented as shared red regions (statistical errors are in most cases smaller than the marker size) is compared to leading order Monte Carlo models; PYTHIA-8 (Monash Tune, solid black line), PYTHIA-6 (Perugia Tune, solid blue line), HERWIG-7 (EE4C Tune, solid magenta line). The data are also compared with the AP splitting kernel for quark jets in all the panels shown in red dashed line.

Observations : 

1. Data and MC are comparable in all p_T bins
2. Shape of the zg distribution becomes steeper as jet p_T increases but shows no dependence beyond jet p_T ~ 20 GeV

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Figure 2: Fully unfolded measurement of the SoftDrop groomed jet radius (R_g) in p+p collisions at \sqrt{s} = 200 GeV for anti-k_t R=0.4 Charged + Neutral jets of varying transverse momenta (10 < p_T < 15 GeV in top left to 40 < p_T < 60 GeV in bottom right). The data in solid red star markers with systematic uncertainties represented as shared red regions (statistical errors are in most cases smaller than the marker size) is compared to leading order Monte Carlo models; PYTHIA-8 (Monash Tune, solid black line), PYTHIA-6 (Perugia Tune, solid blue line), HERWIG-7 (EE4C Tune, solid magenta line).

Observations : 

1. SoftDrop Rg reflects the narrowing of jet structure due to increase in jet p_T
2. Data and MC are comparable in all p_T bins

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Figure 3: Radial scans of of the SoftDrop groomed subjet shared momentum fraction (z_g) in p+p collisions at \sqrt{s} = 200 GeV for anti-k_t R=0.2 (top), R=0.4 (middle) and R=0.6 (bottom) Charged + Neutral jets of varying transverse momenta (10 < p_T < 15 GeV in left to 30 < p_T < 40 GeV in right). The data in solid red star markers with systematic uncertainties represented as shared red regions (statistical errors are in most cases smaller than the marker size) is compared to leading order Monte Carlo models; PYTHIA-8 (Monash Tune, solid black line), PYTHIA-6 (Perugia Tune, solid blue line), HERWIG-7 (EE4C Tune, solid magenta line). The data are also compared with PYTHIA-8 w/o hadronization in the dashed black line in all the panels.

Observations : 

1. z_g distribution becomes entirely flat for R=0.2 jets at low p_T and increasing jet p_T recovers the universal 1/z behavior
2. Moderate effect of hadronization particularly at small values z_g for jets at low p_T

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Figure 4: Measurement of the recursive SoftDrop groomed subjet shared momentum fraction (z_g) in p+p collisions at \sqrt{s} = 200 GeV for anti-k_t R=0.4 Charged + Neutral jets at different splitting. Each split is selected to have its groomed initiator prong to have a transverse momenta of 20 < p_T < 25 GeV. The zg distribution for the first split is shown in red star for the uncorrected data and compared with PYTHIA6+GEANT simulation in the open circles. Second and third splits are shown in the red and blue colors.

Observations : 

1. z_g for the first and second plots are consistent with each other.
   
2. The third split is constrained in the angular phase space leading to a much flatter z_g distribution
   

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Figure 5: Measurement of the recursive SoftDrop groomed jet radius (R_g) in p+p collisions at \sqrt{s} = 200 GeV for anti-k_t R=0.4 Charged + Neutral jets at different splitting. Each split is selected to have its groomed initiator prong to have a transverse momenta of 20 < p_T < 25 GeV. The zg distribution for the first split is shown in red star for the uncorrected data and compared with PYTHIA6+GEANT simulation in the open circles. Second and third splits are shown in the red and blue colors.

Observations : 

1. R_g for the first and second plots are consistent with each other.
   
2. The third split R_g is very much narrow compared to the first two splits as a result of its constrained in the angular phase
   

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Figure 6: Correlation between the SoftDrop Groomed jet radius (for R=0.4 anti-kt Ch+Ne jets 20 < pT < 30 GeV) in p+p collisions to the p+p embedded in Au+Au 0-20% central events.

Observations : 

1. R_g is sensitive to the  AuAu underlying event leading to a non-diagonal structure in the correlation. With the R_g observable - we have a small signal/background ratio if we select jets with a particular angular scale.
   

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Figure 7: Correlation between the TwoSubJet Theta (for R=0.4 anti-kt Ch+Ne jets and R=0.1 anti-kt subjets 20 < pT < 30 GeV) in p+p collisions to the p+p embedded in Au+Au 0-20% central events.

Observations : 

1. TwoSubJet Theta is less sensitive to the AuAu underlying event leading to a mostly diagonal structure in the correlation. With this theta observable - we have sufficiently good signal/background ratio to select jets with a particular angular scale.
   

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Figure 8: TwoSubJet observables (z_SJ - left and Theta_SJ - right) comparing Au+Au (solid circles) and p+p Embedded in Au+Au (open circles including the systematic uncertainties in the shaded region) for recoil matched jets (anti-kt R=0.4 Ch+Ne, R=0.1 subjets) in the p_T range 10-20 GeV. 

Observations : 

1. Distributions are similar for p+p Emb Au+Au and Au+Au within our systematics.
   
2. z_SJ shows a trend towards larger values which in vacuum is indicative of earlier splits with regards to its formation time.
   

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Figure 9: HardCore Dijet Asymmetry (A_J) for events with leading and subleading cut of 16, 8 GeV respectively. The filled markers correspond to Au+Au and the open markers along with the shaded regions show p+p Embedded in Au+Au. The black distributions do not have any cuts on the TwoSubJet Theta whereas the blue and the red apply selections on recoil jets with 0.1 < Theta  < 0.2 and 0.2 < Theta < 0.3.

Observations : 

1. For all theta selections shown, the hardcore Aj is consistently imbalanced between Au+Au and p+p
   
2. For theta selections, the inherent Aj distributions are themselves modified.
   
3. We dont observe any significant difference between different theta selections
   

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Figure 9: Matched Dijet Asymmetry (A_J) for events with leading and subleading cut of 16, 8 (for HardCore jets) GeV respectively. The filled markers correspond to Au+Au and the open markers along with the shaded regions show p+p Embedded in Au+Au. The black distributions do not have any cuts on the TwoSubJet Theta whereas the blue and the red apply selections on recoil jets with 0.1 < Theta  < 0.2 and 0.2 < Theta < 0.3.

Observations : 

1. For all theta selections shown, the matched Aj is consistently balanced between Au+Au and p+p
   
2. We dont observe any significant difference between different theta selections
   

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Figure 11: Matched Recoil jet yield normalized to the total number of 16-8 dijet events in the top panels and the ratio of Au+Au to p+p Emb Au+Au in the bottom three panels. The filled markers correspond to Au+Au and the open markers along with the shaded regions show p+p Embedded in Au+Au. The black distributions do not have any cuts on the TwoSubJet Theta whereas the blue and the red apply selections on recoil jets with 0.1 < Theta  < 0.2 and 0.2 < Theta < 0.3.

Observations : 

1. For the black points, the matched jet yield shows us that we fully recover the jet pT that was quenched for the hardcore jets
   
2. We dont observe any significant difference between different theta selections in the ratios and they are all consistent with 1.
   

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Figures in the backup slides

Figure 12: Difference between PYTHIA-6 generator jets and PYTHIA-6+GEANT reconstructed jets for z_g (left) and R_g (right) in the top panels and the mean +/- sigma in the bottom panels as a function of the PYTHIA-6 generator jet p_T.

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Figure 13: Systematic uncertainties for the fully unfolded z_g and R_g distributions shown for a particular pT bin 25-30 GeV. the different colors and shaded regions point to different sources of uncertainties and the solid black line shows the quadrature sum.

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