David Cameron
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
David Cameron has a total of 1000 co-authors. Here are the top co-authors by number of shared publications:
- A. A. Minaenko
CERN
258 shared publications - A. C. Martyniuk
University College London
258 shared publications - A. E. Kiryunin
Max-Planck-Institut für Physik (Werner-Heisenberg-Institut)
258 shared publications - A. G. Kharlamov
CERN
258 shared publications - A. G. Myagkov
CERN
258 shared publications - A. Kourkoumeli-Charalampidi
INFN Sezione di Pavia
258 shared publications
Latest Publications
- Open Access
- 6 November 2026
- Published by American Physical Society (APS) in Physical Review C
- Vol. 114 (5)
Measurements of longitudinal flow decorrelations in p p and Xe + Xe collisions with the ATLAS detector
Measurements of longitudinal flow decorrelations in 13-TeV p p and 5.44-TeV Xe + Xe collisions with the ATLAS detector are presented. The measurements are performed using the two-particle correlation method, combining charged-particle tracks within | η | < 2.5 with either calorimeter energy clusters or towers within 4.0 < | η | < 4.9 . A template-based subtraction procedure is used to remove nonflow effects in both the p p and the Xe + Xe analyses. The dependence of the longitudinal flow decorrelations on the pseudorapidity separation between the particles is characterized via the slope parameter F n for the elliptic ( n = 2 ) and triangular ( n = 3 ) harmonic moments. The results are reported as a function of charged-particle multiplicity for the p p and Xe + Xe collision systems. Comparing the data to a color string-based model of the initial geometry indicates that in p p and peripheral Xe + Xe collisions, subnucleonic structure, and fluctuations in longitudinal energy deposition are needed to describe the data.
- 6 November 2026
- Published by American Physical Society (APS) in Physical Review C
- Vol. 114 (5)
Open AccessMeasurements of longitudinal flow decorrelations in p p and Xe + Xe collisions with the ATLAS detector
Measurements of longitudinal flow decorrelations in 13-TeV p p and 5.44-TeV Xe + Xe collisions with the ATLAS detector are presented. The measurements are performed using the two-particle correlation method, combining charged-particle tracks within | η | < 2.5 with either calorimeter energy clusters or towers within 4.0 < | η | < 4.9 . A template-based subtraction procedure is used to remove nonflow effects in both the p p and the Xe + Xe analyses. The dependence of the longitudinal flow decorrelations on the pseudorapidity separation between the particles is characterized via the slope parameter F n for the elliptic ( n = 2 ) and triangular ( n = 3 ) harmonic moments. The results are reported as a function of charged-particle multiplicity for the p p and Xe + Xe collision systems. Comparing the data to a color string-based model of the initial geometry indicates that in p p and peripheral Xe + Xe collisions, subnucleonic structure, and fluctuations in longitudinal energy deposition are needed to describe the data.
- Open Access
- 15 January 2026
- Published by Springer Nature in The European Physical Journal C
- Vol. 86 (1) , 26
Erratum: Precision measurement of the $B^0$ meson lifetime using $B^0 \rightarrow J/\psi K^{*0}$ decays with the ATLAS detector- 15 January 2026
- Published by Springer Nature in The European Physical Journal C
- Vol. 86 (1) , 26
Open AccessErratum: Precision measurement of the $B^0$ meson lifetime using $B^0 \rightarrow J/\psi K^{*0}$ decays with the ATLAS detector - Open Access
- 18 December 2025
- Published by Springer Nature in Journal of High Energy Physics
- Vol. 2025 (12)
Erratum: Search for boosted diphoton resonances in the 10 to 70 GeV mass range using 138 fb−1 of 13 TeV pp collisions with the ATLAS detector
- 18 December 2025
- Published by Springer Nature in Journal of High Energy Physics
- Vol. 2025 (12)
Open AccessErratum: Search for boosted diphoton resonances in the 10 to 70 GeV mass range using 138 fb−1 of 13 TeV pp collisions with the ATLAS detector
- Open Access
- 16 December 2025
- Published by Stichting SciPost in SciPost Physics
- Vol. 19 (6)
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of topologically connected cells (topo-clusters). The Bayesian neural network (BNN) approach not only yields a continuous and smooth calibration function that improves performance relative to the standard calibration but also provides uncertainties on the calibrated energies for each topo-cluster. The results obtained by using a trained BNN are compared to the standard local hadronic calibration and to a calibration provided by training a deep neural network. The uncertainties predicted by the BNN are interpreted in the context of a fractional contribution to the systematic uncertainties of the trained calibration. They are also compared to uncertainty predictions obtained from an alternative estimator employing repulsive ensembles.
- 16 December 2025
- Published by Stichting SciPost in SciPost Physics
- Vol. 19 (6)
Open AccessPrecision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of topologically connected cells (topo-clusters). The Bayesian neural network (BNN) approach not only yields a continuous and smooth calibration function that improves performance relative to the standard calibration but also provides uncertainties on the calibrated energies for each topo-cluster. The results obtained by using a trained BNN are compared to the standard local hadronic calibration and to a calibration provided by training a deep neural network. The uncertainties predicted by the BNN are interpreted in the context of a fractional contribution to the systematic uncertainties of the trained calibration. They are also compared to uncertainty predictions obtained from an alternative estimator employing repulsive ensembles.
- Open Access
- 16 December 2025
- Published by Springer Nature in npj Breast Cancer
- Vol. 11 (1) , 140
Author Correction: Advancing equitable access to innovation in breast cancer
- 16 December 2025
- Published by Springer Nature in npj Breast Cancer
- Vol. 11 (1) , 140
Open AccessAuthor Correction: Advancing equitable access to innovation in breast cancer
- Open Access
- 21 November 2025
- Published by Springer Nature in Journal of High Energy Physics
- Vol. 2025 (11)
Erratum: Measurement of the total and differential cross-sections of $ t\overline{t}W $ production in pp collisions at $ \sqrt{s}=13 $ TeV with the ATLAS detector- 21 November 2025
- Published by Springer Nature in Journal of High Energy Physics
- Vol. 2025 (11)
Open AccessErratum: Measurement of the total and differential cross-sections of $ t\overline{t}W $ production in pp collisions at $ \sqrt{s}=13 $ TeV with the ATLAS detector - Open Access
- 12 November 2025
- Published by Springer Nature in Journal of High Energy Physics
- Vol. 2025 (11)
Erratum: Search for neutral long-lived particles that decay into displaced jets in the ATLAS calorimeter in association with leptons or jets using pp collisions at $ \sqrt{\textrm{s}}=13 $ TeV- 12 November 2025
- Published by Springer Nature in Journal of High Energy Physics
- Vol. 2025 (11)
Open AccessErratum: Search for neutral long-lived particles that decay into displaced jets in the ATLAS calorimeter in association with leptons or jets using pp collisions at $ \sqrt{\textrm{s}}=13 $ TeV - Open Access
- 10 November 2025
- Published by Springer Nature in The European Physical Journal C
- Vol. 85 (11) , 1-44
A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the b -jet, c -jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for b -jets using $$t\bar{t} \rightarrow e\mu \nu \nu bb$$ data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.- 10 November 2025
- Published by Springer Nature in The European Physical Journal C
- Vol. 85 (11) , 1-44
Open AccessA continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the b -jet, c -jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for b -jets using $$t\bar{t} \rightarrow e\mu \nu \nu bb$$ data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks. - Open Access
- 1 September 2025
- Published by Springer Nature in The European Physical Journal C
- Vol. 85 (9) , 1-32
A precise measurement of the jet energy scale derived from single-particle measurements and in situ techniques in proton–proton collisions at $\sqrt{s}=$ 13 TeV with the ATLAS detectorThe jet energy calibration and its uncertainties are derived from measurements of the calorimeter response to single particles in both data and Monte Carlo simulation using proton–proton collisions at $$\sqrt{s} = 13$$ TeV collected with the ATLAS detector during Run 2 at the Large Hadron Collider. The jet calibration uncertainty for anti- $$k_T$$ jets with a jet radius parameter of R $$_\textrm{jet} = 0.4$$ and in the central jet rapidity region is about 2.5% for transverse momenta ( $$p_{\text {T}}$$ ) of 20 $$\text {GeV}$$ , about $$0.5\%$$ for $$p_{\text {T}} =300$$ $$\text {GeV}$$ and $$0.7\%$$ for $$p_{\text {T}} =4$$ $$\text {TeV}$$ . Excellent agreement is found with earlier determinations obtained from $$p_\textrm{T}$$ -balance based in situ methods ( $$Z/\gamma $$ +jets). The combination of these two independent methods results in the most precise jet energy measurement achieved so far with the ATLAS detector with a relative uncertainty of $$0.3\%$$ at $$p_\textrm{T}=300$$ GeV and $$0.6\%$$ at 4 TeV. The jet energy calibration is also derived with the single-particle calorimeter response measurements separately for quark- and gluon-induced jets and furthermore for jets with R $$_\textrm{jet}$$ varying from 0.2 to 1.0 retaining the correlations between these measurements. Differences between inclusive jets and jets from boosted top-quark decays, with and without grooming the soft jet constituents, are also studied.- 1 September 2025
- Published by Springer Nature in The European Physical Journal C
- Vol. 85 (9) , 1-32
Open AccessA precise measurement of the jet energy scale derived from single-particle measurements and in situ techniques in proton–proton collisions at $\sqrt{s}=$ 13 TeV with the ATLAS detectorThe jet energy calibration and its uncertainties are derived from measurements of the calorimeter response to single particles in both data and Monte Carlo simulation using proton–proton collisions at $$\sqrt{s} = 13$$ TeV collected with the ATLAS detector during Run 2 at the Large Hadron Collider. The jet calibration uncertainty for anti- $$k_T$$ jets with a jet radius parameter of R $$_\textrm{jet} = 0.4$$ and in the central jet rapidity region is about 2.5% for transverse momenta ( $$p_{\text {T}}$$ ) of 20 $$\text {GeV}$$ , about $$0.5\%$$ for $$p_{\text {T}} =300$$ $$\text {GeV}$$ and $$0.7\%$$ for $$p_{\text {T}} =4$$ $$\text {TeV}$$ . Excellent agreement is found with earlier determinations obtained from $$p_\textrm{T}$$ -balance based in situ methods ( $$Z/\gamma $$ +jets). The combination of these two independent methods results in the most precise jet energy measurement achieved so far with the ATLAS detector with a relative uncertainty of $$0.3\%$$ at $$p_\textrm{T}=300$$ GeV and $$0.6\%$$ at 4 TeV. The jet energy calibration is also derived with the single-particle calorimeter response measurements separately for quark- and gluon-induced jets and furthermore for jets with R $$_\textrm{jet}$$ varying from 0.2 to 1.0 retaining the correlations between these measurements. Differences between inclusive jets and jets from boosted top-quark decays, with and without grooming the soft jet constituents, are also studied. - Open Access
- 27 August 2025
- Published by American Physical Society (APS) in Physical Review C
- Vol. 112 (2)
Azimuthal anisotropies of charged particles with high transverse momentum in collisions at TeV with the ATLAS detectorA measurement is presented of elliptic ( v 2 ) and triangular ( v 3 ) azimuthal anisotropy coefficients for charged particles produced in Pb + Pb collisions at s NN = 5.02 TeV using a dataset corresponding to an integrated luminosity of 0.44 nb − 1 collected with the ATLAS detector at the LHC in 2018. The values of v 2 and v 3 are measured for charged particles over a wide range of transverse momentum ( p T ), 1–400 GeV , and Pb + Pb collision centrality, 0–60%, using the scalar-product and multiparticle cumulant methods. These methods are sensitive to event-by-event fluctuations and nonflow effects in the measurements of azimuthal anisotropies. Positive values of v 2 are observed up to a p T of approximately 100 GeV from both methods across all centrality intervals. Positive values of v 3 are observed up to approximately 25 GeV using both methods, though the application of the three-subevent technique to the multiparticle cumulant method leads to significant changes at the highest p T . At high p T ( p T ⪆ 10 GeV ), charged particles are dominantly from jet fragmentation. These jets, and hence the measurements presented here, are sensitive to the path-length dependence of parton energy loss in the quark-gluon plasma produced in Pb + Pb collisions.
- 27 August 2025
- Published by American Physical Society (APS) in Physical Review C
- Vol. 112 (2)
Open AccessAzimuthal anisotropies of charged particles with high transverse momentum in collisions at TeV with the ATLAS detectorA measurement is presented of elliptic ( v 2 ) and triangular ( v 3 ) azimuthal anisotropy coefficients for charged particles produced in Pb + Pb collisions at s NN = 5.02 TeV using a dataset corresponding to an integrated luminosity of 0.44 nb − 1 collected with the ATLAS detector at the LHC in 2018. The values of v 2 and v 3 are measured for charged particles over a wide range of transverse momentum ( p T ), 1–400 GeV , and Pb + Pb collision centrality, 0–60%, using the scalar-product and multiparticle cumulant methods. These methods are sensitive to event-by-event fluctuations and nonflow effects in the measurements of azimuthal anisotropies. Positive values of v 2 are observed up to a p T of approximately 100 GeV from both methods across all centrality intervals. Positive values of v 3 are observed up to approximately 25 GeV using both methods, though the application of the three-subevent technique to the multiparticle cumulant method leads to significant changes at the highest p T . At high p T ( p T ⪆ 10 GeV ), charged particles are dominantly from jet fragmentation. These jets, and hence the measurements presented here, are sensitive to the path-length dependence of parton energy loss in the quark-gluon plasma produced in Pb + Pb collisions.