No description provided.

Dimuon production for varying mass as function of XFP.

Dimuon production for varying mass as function of XFP.

Dimuon production for varying mass as function of XFP.

Tminor distribution.

Oblateness distribution.

Sphericity distribution.

Aplanarity distribution.

C-parameter distribution.

Thrust distribution.

Heavy Jet Mass distribution.

Total Jet Broadening distribution.

Wide Jet Broadening distribution.

Jet rates using the JADE E0 scheme as a function of ycut (the cut-off parameter).

Jet rates using the Durham Scheme as a function of ycut (the cut-off parameter).

Jet rates using the Cone algorithm as a function of the cone size R. Minimum jet energy is fixed at 7 GeV.

Jet rates using the Cone algorithm as a function of the minimum jet energy.The cone size is fixed at 0.7 radians.

Differential two jet rate using the Durham jet finding algorithm.

Fragmentation function.

The ln(1/xe) distribution.

Multiplicity distribution of charged particles.

Rapidity distribution of charged particles.

PTIN distribution.

PTOUT distribution.

IRing2 for HT2>=500 GeV, NJets>=5

IRing2 for HT2>=1000 GeV, NJets>=2

IRing2 for HT2>=1000 GeV, NJets>=3

IRing2 for HT2>=1000 GeV, NJets>=4

IRing2 for HT2>=1000 GeV, NJets>=5

IRing2 for HT2>=1500 GeV, NJets>=2

IRing2 for HT2>=1500 GeV, NJets>=3

IRing2 for HT2>=1500 GeV, NJets>=4

IRing2 for HT2>=1500 GeV, NJets>=5

IRing128 for HT2>=500 GeV, NJets>=2

IRing128 for HT2>=500 GeV, NJets>=3

IRing128 for HT2>=500 GeV, NJets>=4

IRing128 for HT2>=500 GeV, NJets>=5

IRing128 for HT2>=1000 GeV, NJets>=2

IRing128 for HT2>=1000 GeV, NJets>=3

IRing128 for HT2>=1000 GeV, NJets>=4

IRing128 for HT2>=1000 GeV, NJets>=5

IRing128 for HT2>=1500 GeV, NJets>=2

IRing128 for HT2>=1500 GeV, NJets>=3

IRing128 for HT2>=1500 GeV, NJets>=4

IRing128 for HT2>=1500 GeV, NJets>=5

ICyl16 for HT2>=500 GeV, NJets>=2

ICyl16 for HT2>=500 GeV, NJets>=3

ICyl16 for HT2>=500 GeV, NJets>=4

ICyl16 for HT2>=500 GeV, NJets>=5

ICyl16 for HT2>=1000 GeV, NJets>=2

ICyl16 for HT2>=1000 GeV, NJets>=3

ICyl16 for HT2>=1000 GeV, NJets>=4

ICyl16 for HT2>=1000 GeV, NJets>=5

ICyl16 for HT2>=1500 GeV, NJets>=2

ICyl16 for HT2>=1500 GeV, NJets>=3

ICyl16 for HT2>=1500 GeV, NJets>=4

ICyl16 for HT2>=1500 GeV, NJets>=5

IRing2 covariance for HT2>=500 GeV, NJets>=2 (Table 1)

IRing2 covariance for HT2>=500 GeV, NJets>=3 (Table 2)

IRing2 covariance for HT2>=500 GeV, NJets>=4 (Table 3)

IRing2 covariance for HT2>=500 GeV, NJets>=5 (Table 4)

IRing2 covariance for HT2>=1000 GeV, NJets>=2 (Table 5)

IRing2 covariance for HT2>=1000 GeV, NJets>=3 (Table 6)

IRing2 covariance for HT2>=1000 GeV, NJets>=4 (Table 7)

IRing2 covariance for HT2>=1000 GeV, NJets>=5 (Table 8)

IRing2 covariance for HT2>=1500 GeV, NJets>=2 (Table 9)

IRing2 covariance for HT2>=1500 GeV, NJets>=3 (Table 10)

IRing2 covariance for HT2>=1500 GeV, NJets>=4 (Table 11)

IRing2 covariance for HT2>=1500 GeV, NJets>=5 (Table 12)

IRing128 covariance for HT2>=500 GeV, NJets>=2 (Table 13)

IRing128 covariance for HT2>=500 GeV, NJets>=3 (Table 14)

IRing128 covariance for HT2>=500 GeV, NJets>=4 (Table 15)

IRing128 covariance for HT2>=500 GeV, NJets>=5 (Table 16)

IRing128 covariance for HT2>=1000 GeV, NJets>=2 (Table 17)

IRing128 covariance for HT2>=1000 GeV, NJets>=3 (Table 18)

IRing128 covariance for HT2>=1000 GeV, NJets>=4 (Table 19)

IRing128 covariance for HT2>=1000 GeV, NJets>=5 (Table 20)

IRing128 covariance for HT2>=1500 GeV, NJets>=2 (Table 21)

IRing128 covariance for HT2>=1500 GeV, NJets>=3 (Table 22)

IRing128 covariance for HT2>=1500 GeV, NJets>=4 (Table 23)

IRing128 covariance for HT2>=1500 GeV, NJets>=5 (Table 24)

ICyl16 covariance for HT2>=500 GeV, NJets>=2 (Table 25)

ICyl16 covariance for HT2>=500 GeV, NJets>=3 (Table 26)

ICyl16 covariance for HT2>=500 GeV, NJets>=4 (Table 27)

ICyl16 covariance for HT2>=500 GeV, NJets>=5 (Table 28)

ICyl16 covariance for HT2>=1000 GeV, NJets>=2 (Table 29)

ICyl16 covariance for HT2>=1000 GeV, NJets>=3 (Table 30)

ICyl16 covariance for HT2>=1000 GeV, NJets>=4 (Table 31)

ICyl16 covariance for HT2>=1000 GeV, NJets>=5 (Table 32)

ICyl16 covariance for HT2>=1500 GeV, NJets>=2 (Table 33)

ICyl16 covariance for HT2>=1500 GeV, NJets>=3 (Table 34)

ICyl16 covariance for HT2>=1500 GeV, NJets>=4 (Table 35)

ICyl16 covariance for HT2>=1500 GeV, NJets>=5 (Table 36)

IRing2 covariance, complete

1-IRing128 covariance, complete

1-ICyl16 covariance, complete

The CP-averaged observable S3 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S4 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S5 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable Afb versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S7 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S8 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The CP-averaged observable S9 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable Fl versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P1 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P2 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P3 versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P4' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P5' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P6' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

The optimised observable P8' versus q2. The first (second) error bars represent the statistical (total) uncertainties.

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 0.10 < q2 < 0.98 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 1.10 < q2 < 2.50 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 2.50 < q2 < 4.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 4.00 < q2 < 6.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 6.00 < q2 < 8.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 11.00 < q2 < 12.50 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 15.00 < q2 < 17.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 17.00 < q2 < 19.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 1.10 < q2 < 6.00 GeV2/c4

Correlation matrix for the CP-averaged observables FL, AFB and S3–S9 from the maximum-likelihood fit in the interval 15.00 < q2 < 19.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 0.10 < q2 < 0.98 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 1.10 < q2 < 2.50 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 2.50 < q2 < 4.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 4.00 < q2 < 6.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 6.00 < q2 < 8.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 11.00 < q2 < 12.50 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 15.00 < q2 < 17.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 17.00 < q2 < 19.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 1.10 < q2 < 6.00 GeV2/c4

Correlation matrix for the optimised observables FL and P1–P'8 from the maximum-likelihood fit in the interval 15.00 < q2 < 19.00 GeV2/c4

Optimised angular observables evaluated by the unbinned maximum likelihood fit. The first uncertainties are statistical and the second systematic.

CP-averaged angular observables evaluated using the method of moments. The first uncertainties are statistical and the second systematic.

CP-asymmetries evaluated using the method of moments. The first uncertainties are statistical and the second systematic.

Optimised observables evaluated using the method of moments. The first uncertainties are statistical and the second systematic.

Zero-crossing points determined with an amplitude fit.

Likelihood correlation matrix $0.1 < q^2 < 0.98~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $1.1 < q^2 < 2.5~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $2.5 < q^2 < 4.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $4.0 <q^2< 6.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $6.0 < q^2 < 8.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $11.0 <q^2< 12.5 ~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $15.0 < q^2 < 17.0 ~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $17.0 <q^2< 19.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $1.1 <q^2< 6.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $15.0 <q^2< 19.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $0.1 < q^2 < 0.98~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $1.1 < q^2 < 2.5~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $2.5 < q^2 < 4.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $4.0 <q^2< 6.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $6.0 < q^2 < 8.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $11.0 <q^2< 12.5 ~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $15.0 <q^2< 17.0 ~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $17.0 <q^2< 19.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $1.1 <q^2< 6.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $15.0 <q^2< 19.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $0.1 < q^2 < 0.98~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $1.1 < q^2 < 2.5~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $2.5 < q^2 < 4.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $4.0 <q^2< 6.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $6.0 < q^2 < 8.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $11.0 <q^2< 12.5 ~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $15.0 <q^2< 17.0 ~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $17.0 <q^2< 19.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $1.1 <q^2< 6.0~{\rm GeV}^2/c^4$.

Likelihood correlation matrix $15.0 <q^2< 19.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $0.10 < q^2 < 0.98~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $1.1 < q^2 < 2.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $2.0 < q^2 < 3.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $3.0 < q^2 < 4.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $4.0 < q^2 < 5.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $5.0 < q^2 < 6.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $6.0 < q^2 < 7.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $7.0 < q^2 < 8.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $11.00 <q^2 < 11.75~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $11.75 <q^2 < 12.50~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $15.0 <q^2 < 16.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $16.0 <q^2 < 17.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $17.0 <q^2 < 18.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $18.0 <q^2 < 19.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $15.0 <q^2 < 19.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $0.10 < q^2 < 0.98~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $1.1 < q^2 < 2.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $2.0 < q^2 < 3.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $3.0 < q^2 < 4.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $4.0 < q^2 < 5.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $5.0 < q^2 < 6.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $6.0 < q^2 < 7.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $7.0 < q^2 < 8.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $11.00 <q^2 < 11.75~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $11.75 <q^2 < 12.50~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $15.0 <q^2 < 16.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $16.0 <q^2 < 17.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $17.0 <q^2 < 18.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $18.0 <q^2 < 19.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $15.0 <q^2 < 19.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $0.1 <q^2 < 0.98~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $1.1 <q^2 < 2.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $2.0 <q^2 < 3.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $3.0 <q^2 < 4.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $4.0 <q^2 < 5.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $5.0 <q^2 < 6.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $6.0 <q^2 < 7.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $7.0 <q^2 < 8.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $11.0 <q^2 < 11.75~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $11.75 <q^2 < 12.5~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $15.0 <q^2 < 16.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $16.0 <q^2 < 17.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $17.0 < q^2 < 18.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $18.0 < q^2 < 19.0~{\rm GeV}^2/c^4$.

Bootstrap correlation matrix $15.0 < q^2 < 19.0~{\rm GeV}^2/c^4$.

Differential cross-section in bins of subleading muon $p_\mathrm{T]$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading muon $\eta$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading muon $\eta$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading muon $\phi$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading muon $\phi$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet $p_\mathrm{T]$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet $p_\mathrm{T]$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet rapidity. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet rapidity. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet azimuth. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet azimuth. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet mass. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet mass. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet constituent multiplicity. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet constituent multiplicity. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet $\tau_1$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet $\tau_1$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet $\tau_2$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet $\tau_2$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet $\tau_3$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of subleading charged particle jet $\tau_3$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of leading charged particle jet $\tau_{21}$. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>

Differential cross-section in bins of $\Delta R$ between the leading charged particle jet and the dilepton system. The actual measurement is unbinned and available with examples at <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024">gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024</a>