𝑍 boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of 𝑍 boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins. In this analysis, a machine learning method called omnifold is used to produce a simultaneous measurement of twenty-four 𝑍 +jets observables using 139  fb−1 of proton-proton collisions at √𝑠 =13  TeV collected with the ATLAS detector. Unlike any previous fiducial differential cross-section measurement, this result is presented unbinned as a dataset of particle-level events, allowing for flexible reuse in a variety of contexts and for new observables to be constructed from the twenty-four measured observables.

Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., Abicht, N. j., et al. (2024). Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four 𝑍+jets Kinematic Observables with the ATLAS Detector. PHYSICAL REVIEW LETTERS, 133(26), 261803-1-261803-24 [10.1103/physrevlett.133.261803].

Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four 𝑍+jets Kinematic Observables with the ATLAS Detector

Alfonsi, F.;Ballabene, E.;Bellagamba, L.;Bianco, G.;Boscherini, D.;Bruni, A.;Carratta, G.;Corchia, F.  A.;Cremonini, D.;De Castro, S.;Fabbri, F.;Fabbri, L.;Franchini, M.;Gabrielli, A.;Giacobbe, B.;Lasagni Manghi, F.;Levrini, G.;Nechaeva, S.;Polini, A.;Rinaldi, L.;Romano, M.;Sanzani, E.;Sbarra, C.;Sbrizzi, A.;Semprini-Cesari, N.;Sioli, M.;Todome, K.;Valentinetti, S.;Villa, M.;Vittori, C.;Vivarelli, I.;Zoccoli, A.;
2024

Abstract

𝑍 boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of 𝑍 boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins. In this analysis, a machine learning method called omnifold is used to produce a simultaneous measurement of twenty-four 𝑍 +jets observables using 139  fb−1 of proton-proton collisions at √𝑠 =13  TeV collected with the ATLAS detector. Unlike any previous fiducial differential cross-section measurement, this result is presented unbinned as a dataset of particle-level events, allowing for flexible reuse in a variety of contexts and for new observables to be constructed from the twenty-four measured observables.
2024
Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., Abicht, N. j., et al. (2024). Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four ��+jets Kinematic Observables with the ATLAS Detector. PHYSICAL REVIEW LETTERS, 133(26), 261803-1-261803-24 [10.1103/physrevlett.133.261803].
Aad, G.; Aakvaag, E.; Abbott, B.; Abdelhameed, S.; Abeling, K.; Abicht, N.  j.; Abidi, S.  h.; Aboelela, M.; Aboulhorma, A.; Abramowicz, H.; Abreu, H....espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1010983
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