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Data-driven precision determination of the material budget in ALICE

Acharya, S. ; Basu, S. LU orcid ; Christiansen, P. LU ; Hansen, J. LU ; Iversen, K.E. LU orcid ; Matonoha, O. LU ; Nassirpour, A.F. LU orcid ; Ohlson, A. LU ; Silvermyr, D. LU orcid and Staa, J. LU , et al. (2023) In Journal of Instrumentation 18(11).
Abstract
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... (More)
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. © 2023 CERN for the benefit of the Alice collaboration. (Less)
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type
Contribution to journal
publication status
published
subject
keywords
Analysis and statistical methods, Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc), Large detector systems for particle and astroparticle physics, Particle tracking detectors, Budget control, Charged particles, Computer software, Hadrons, Uncertainty analysis, Analyse and statistical method, Astroparticle physics, Detector modeling, Detector modeling and simulation I (interaction of radiation with matter, interaction of photon with matter, interaction of hadron with matter, etc), Detector simulations, Detector systems, Interaction of radiation with matter, Large detector system for particle and astroparticle physic, Large detectors, Model and simulation, Particle tracking, Particle tracking detector, Tracking detectors, Photons
in
Journal of Instrumentation
volume
18
issue
11
article number
P11032
publisher
IOP Publishing
external identifiers
  • scopus:85182511079
ISSN
1748-0221
DOI
10.1088/1748-0221/18/11/P11032
language
English
LU publication?
yes
id
36b42b87-c2e6-4cb0-8144-ac7cc5f24540
date added to LUP
2024-03-11 14:53:20
date last changed
2024-03-11 14:55:09
@article{36b42b87-c2e6-4cb0-8144-ac7cc5f24540,
  abstract     = {{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. © 2023 CERN for the benefit of the Alice collaboration.}},
  author       = {{Acharya, S. and Basu, S. and Christiansen, P. and Hansen, J. and Iversen, K.E. and Matonoha, O. and Nassirpour, A.F. and Ohlson, A. and Silvermyr, D. and Staa, J. and Vislavicius, V. and Zugravel, S.C. and Zurlo, N.}},
  issn         = {{1748-0221}},
  keywords     = {{Analysis and statistical methods; Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc); Large detector systems for particle and astroparticle physics; Particle tracking detectors; Budget control; Charged particles; Computer software; Hadrons; Uncertainty analysis; Analyse and statistical method; Astroparticle physics; Detector modeling; Detector modeling and simulation I (interaction of radiation with matter, interaction of photon with matter, interaction of hadron with matter, etc); Detector simulations; Detector systems; Interaction of radiation with matter; Large detector system for particle and astroparticle physic; Large detectors; Model and simulation; Particle tracking; Particle tracking detector; Tracking detectors; Photons}},
  language     = {{eng}},
  number       = {{11}},
  publisher    = {{IOP Publishing}},
  series       = {{Journal of Instrumentation}},
  title        = {{Data-driven precision determination of the material budget in ALICE}},
  url          = {{http://dx.doi.org/10.1088/1748-0221/18/11/P11032}},
  doi          = {{10.1088/1748-0221/18/11/P11032}},
  volume       = {{18}},
  year         = {{2023}},
}