Research output: Contribution to journal › Conference article › peer-review
Corrections of fluctuation observables with the Unfolding techniques. / Prokhorova, D. S.; Andronov, E. V.
In: Journal of Physics: Conference Series, Vol. 1690, No. 1, 012134, 16.12.2020.Research output: Contribution to journal › Conference article › peer-review
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TY - JOUR
T1 - Corrections of fluctuation observables with the Unfolding techniques
AU - Prokhorova, D. S.
AU - Andronov, E. V.
N1 - Funding Information: This work is supported by the Russian Science Foundation under grant 17-72-20045. We thank members of the CERN NA61/SHINE Collaboration for their support and help. Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/12/16
Y1 - 2020/12/16
N2 - The paper studies the possibility to correct strongly intensive quantities Δ[PT, N], [PT, N], and [NF, NB ] for detector inefficiencies by means of RooUnfold package. Several tests of applying Unfolding technique to 1D-and 2D-dimensional distributions were done on Monte-Carlo generated data in NA61/SHINE acceptance. Results reveal that several aspects of this analysis have to be improved.
AB - The paper studies the possibility to correct strongly intensive quantities Δ[PT, N], [PT, N], and [NF, NB ] for detector inefficiencies by means of RooUnfold package. Several tests of applying Unfolding technique to 1D-and 2D-dimensional distributions were done on Monte-Carlo generated data in NA61/SHINE acceptance. Results reveal that several aspects of this analysis have to be improved.
UR - http://www.scopus.com/inward/record.url?scp=85098327953&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1690/1/012134
DO - 10.1088/1742-6596/1690/1/012134
M3 - Conference article
AN - SCOPUS:85098327953
VL - 1690
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012134
T2 - 5th International Conference on Particle Physics and Astrophysics, ICPPA 2020
Y2 - 5 October 2020 through 9 October 2020
ER -
ID: 75067144