0582692 - ÚJF 2024 RIV US eng J - Článek v odborném periodiku
Acharya, S. - Adamová, Dagmar - Adler, A. - Aglieri Rinella, G. - Bielčík, J. - Bielčíková, Jana - Broz, M. - Contreras, J. G. - Filová, V. - Grecká, Ekaterina - Grund, D. - Herman, T. - Isakov, Artem - Kotliarov, Artem - Krupová, D. M. - Křížek, Filip - Kushpil, Svetlana - Šafařík, K. - Torres, S. R. - Závada, Petr … celkem 1041 autorů
Data-driven precision determination of the material budget in ALICE.
Journal of Instrumentation. Roč. 18, č. 11 (2023), č. článku P11032. ISSN 1748-0221. E-ISSN 1748-0221
Grant CEP: GA MŠMT LM2023040
Institucionální podpora: RVO:68378271 ; RVO:61389005
Klíčová slova: ALICE collaboration * Analysis and statistical methods * Detector modelling and simulations * Particle tracking detectors
Obor OECD: Nuclear physics; Particles and field physics (FZU-D)
Impakt faktor: 1.3, rok: 2023 ; AIS: 0.427, rok: 2023
Způsob publikování: Open access
Web výsledku:
https://doi.org/10.1088/1748-0221/18/11/P11032DOI: https://doi.org/10.1088/1748-0221/18/11/P11032

The knowledge of the material budget with a high precision is fundamental for measurements of direct photon production using the photon conversion method due to its direct impact on the total systematic uncertainty. Moreover, it influences many aspects of the charged-particle reconstruction performance. In this article, two procedures to determine data-driven corrections to the material-budget description in ALICE simulation software are developed. One is based on the precise knowledge of the gas composition in the Time Projection Chamber. The other is based on the robustness of the ratio between the produced number of photons and charged particles, to a large extent due to the approximate isospin symmetry in the number of produced neutral and charged pions. Both methods are applied to ALICE data allowing for a reduction of the overall material budget systematic uncertainty from 4.5% down to 2.5%. Using these methods, a locally correct material budget is also achieved. The two proposed methods are generic and can be applied to any experiment in a similar fashion.
Trvalý link: https://hdl.handle.net/11104/0350773