TY - JOUR
T1 - Data-driven precision determination of the material budget in ALICE
AU - The ALICE collaboration
AU - Acharya, S.
AU - Adamová, D.
AU - Adler, A.
AU - Aglieri Rinella, G.
AU - Agnello, M.
AU - Agrawal, N.
AU - Ahammed, Z.
AU - Ahmad, S.
AU - Ahn, S. U.
AU - Ahuja, I.
AU - Akindinov, A.
AU - Al-Turany, M.
AU - Aleksandrov, D.
AU - Alessandro, B.
AU - Alfanda, H. M.
AU - Alfaro Molina, R.
AU - Ali, B.
AU - Alici, A.
AU - Alizadehvandchali, N.
AU - Alkin, A.
AU - Alme, J.
AU - Alocco, G.
AU - Alt, T.
AU - Altsybeev, I.
AU - Anaam, M. N.
AU - Andrei, C.
AU - Andronic, A.
AU - Anguelov, V.
AU - Antinori, F.
AU - Antonioli, P.
AU - Apadula, N.
AU - Aphecetche, L.
AU - Appelshäuser, H.
AU - Arata, C.
AU - Arcelli, S.
AU - Aresti, M.
AU - Arnaldi, R.
AU - Arneiro, J. G.M.C.A.
AU - Arsene, I. C.
AU - Arslandok, M.
AU - Augustinus, A.
AU - Averbeck, R.
AU - Azmi, M. D.
AU - Badalà, A.
AU - Bae, J.
AU - Baek, Y. W.
AU - Bai, X.
AU - Bailhache, R.
AU - Bazo Alba, J. L.
AU - Gago, A. M.
N1 - Publisher Copyright:
© 2023 CERN for the benefit of the Alice collaboration.
PY - 2023/11/1
Y1 - 2023/11/1
N2 - 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.
AB - 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.
KW - Analysis and statistical methods
KW - Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc)
KW - Large detector systems for particle and astroparticle physics
KW - Particle tracking detectors
UR - https://www.scopus.com/pages/publications/85182511079
U2 - 10.1088/1748-0221/18/11/P11032
DO - 10.1088/1748-0221/18/11/P11032
M3 - Article
AN - SCOPUS:85182511079
SN - 1748-0221
VL - 18
JO - Journal of Instrumentation
JF - Journal of Instrumentation
IS - 11
M1 - P11032
ER -