Professor Daniela Bortoletto: Publications

Cross-section measurements for the production of a $W$-boson in association with high-transverse-momentum jets in $pp$ collisions at $\sqrt{s}$= 13 TeV with the ATLAS detector

ArXiv 2412.11644 (2024)

Test of lepton flavour universality in $W$-boson decays into electrons and $τ$-leptons using $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

ArXiv 2412.11989 (2024)

Measuring the ATLAS ITk Pixel Detector Material via Multiple Scattering of Positrons at the CERN PS

ArXiv 2412.04686 (2024)

Authors:

Simon Florian Koch, Brian Moser, Antonín Lindner, Valerio Dao, Ignacio Asensi, Daniela Bortoletto, Marianne Brekkum, Florian Dachs, Hans Ludwig Joos, Milou van Rijnbach, Abhishek Sharma, Ismet Siral, Carlos Solans, Yingjie Wei

Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network

ArXiv 2412.0437 (2024)

Using pile-up collisions as an abundant source of low-energy hadronic physics processes in ATLAS and an extraction of the jet energy resolution

Journal of High Energy Physics Springer 2024:12 (2024) 32

Authors:

G Aad, E Aakvaag, B Abbott, S Abdelhameed, K Abeling, NJ Abicht, SH Abidi, M Aboelela, A Aboulhorma, H Abramowicz, H Abreu, Y Abulaiti, BS Acharya, A Ackermann, C Adam Bourdarios, L Adamczyk, SV Addepalli, MJ Addison, J Adelman, A Adiguzel, T Adye, AA Affolder, Y Afik, MN Agaras

Abstract:

During the 2015–2018 data-taking period, the Large Hadron Collider delivered proton-proton bunch crossings at a centre-of-mass energy of 13 TeV to the ATLAS experiment at a rate of roughly 30 MHz, where each bunch crossing contained an average of 34 independent inelastic proton-proton collisions. The ATLAS trigger system selected roughly 1 kHz of these bunch crossings to be recorded to disk. Offline algorithms then identify one of the recorded collisions as the collision of interest for subsequent data analysis, and the remaining collisions are referred to as pile-up. Pile-up collisions represent a trigger-unbiased dataset, which is evaluated to have an integrated luminosity of 1.33 pb−1 in 2015–2018. This is small compared with the normal trigger-based ATLAS dataset, but when combined with vertex-by-vertex jet reconstruction it provides up to 50 times more dijet events than the conventional single-jet-trigger-based approach, and does so without adding any additional cost or requirements on the trigger system, readout, or storage. The pile-up dataset is validated through comparisons with a special trigger-unbiased dataset recorded by ATLAS, and its utility is demonstrated by means of a measurement of the jet energy resolution in dijet events, where the statistical uncertainty is significantly reduced for jet transverse momenta below 65 GeV.

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