Research output: Contribution to journal › Conference article › peer-review
An analysis of the omega meson conversion decay using neural network-based technique with the CMD-3 experiment. / CMD-3 Collaboration.
In: Journal of Physics: Conference Series, Vol. 2438, No. 1, 012070, 2023.Research output: Contribution to journal › Conference article › peer-review
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TY - JOUR
T1 - An analysis of the omega meson conversion decay using neural network-based technique with the CMD-3 experiment
AU - CMD-3 Collaboration
AU - Kutsenko, B. D.
N1 - Conference code: 20
PY - 2023
Y1 - 2023
N2 - The study of the conversion decay of the omega meson into π 0 e + e - state was performed with the CMD-3 detector at the VEPP-2000 electron-positron collider in Novosibirsk. The main physical background to the process under study is radiative decay ω → π 0 3, where monochromatic photon converts to e + e - on the material in front of the detector. The deep neural network was used to suppress these background events. The neural network was trained based on Monte Carlo simulation. To control the systematic uncertainty of this approach the events of the process of inelastic scattering e + e - → e + e - 3 (ee 3) and events of annihilation into two photons ( 3 3) were used since they are similar to signal and background events under study. The cross-sections of these processes are well calculated based on quantum electrodynamics. The difference in the calculated and measured ratio of the number of events Nee 3 /N 3 3 was used to determine a systematic uncertainty. Using integrated luminosity about 10 pb -1 collected at the c.m. energy range from 775 MeV to 800 MeV the visible cross-section of the process ω → π 0 e + e - was measured. The preliminary result for the branching ratio Br(ω → π 0 e + e -) was obtained.
AB - The study of the conversion decay of the omega meson into π 0 e + e - state was performed with the CMD-3 detector at the VEPP-2000 electron-positron collider in Novosibirsk. The main physical background to the process under study is radiative decay ω → π 0 3, where monochromatic photon converts to e + e - on the material in front of the detector. The deep neural network was used to suppress these background events. The neural network was trained based on Monte Carlo simulation. To control the systematic uncertainty of this approach the events of the process of inelastic scattering e + e - → e + e - 3 (ee 3) and events of annihilation into two photons ( 3 3) were used since they are similar to signal and background events under study. The cross-sections of these processes are well calculated based on quantum electrodynamics. The difference in the calculated and measured ratio of the number of events Nee 3 /N 3 3 was used to determine a systematic uncertainty. Using integrated luminosity about 10 pb -1 collected at the c.m. energy range from 775 MeV to 800 MeV the visible cross-section of the process ω → π 0 e + e - was measured. The preliminary result for the branching ratio Br(ω → π 0 e + e -) was obtained.
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85149768378&origin=inward&txGid=08ad47c836ebb06bf7dd31cb30303a64
UR - https://www.mendeley.com/catalogue/c15902b4-e6ba-3eba-8347-f2d0fb8e251c/
U2 - 10.1088/1742-6596/2438/1/012070
DO - 10.1088/1742-6596/2438/1/012070
M3 - Conference article
VL - 2438
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012070
T2 - 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
Y2 - 29 November 2021 through 3 December 2021
ER -
ID: 56400952