Application of Multivariate Analysis in Separation of Higgs Boson Signal at future e+e- colliders
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Even though the environment at future e+e- colliders is practically QCD background free, there is a large number of processes with high cross-sections and/or similar topology as the Higgs signal of interest. Maximization of the achievable precision of measurements in the Higgs sector and beyond calls for optimized event selection with respect to the statistical significance. This is where the Multivariate Analysis (MVA) is employed, separating the signal from numerous backgrounds on the basis of their kinematic and other properties. In this paper, we discuss the basics of MVA, its application and performance, in examples of several Higgs analyses done in our group using full simulation of the CLIC data.
Извор:
Proceedings of Science, 2023, 427, 193246-Финансирање / пројекти:
- HIGHTONE-P - HIGGS boson: A portal to new physics (RS-ScienceFundRS-Ideje-7699827)
Напомена:
- BPU11 : 11th International Conference of the Balkan Physical Union
- S05-HEP High Energy Physics (Particles and Fields)
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Институција/група
VinčaTY - CONF AU - Vidaković, Ivana AU - Radulović, Mirko AU - Stevanović, Jasna AU - Kačarević, Goran PY - 2023 UR - https://vinar.vin.bg.ac.rs/handle/123456789/11937 AB - Even though the environment at future e+e- colliders is practically QCD background free, there is a large number of processes with high cross-sections and/or similar topology as the Higgs signal of interest. Maximization of the achievable precision of measurements in the Higgs sector and beyond calls for optimized event selection with respect to the statistical significance. This is where the Multivariate Analysis (MVA) is employed, separating the signal from numerous backgrounds on the basis of their kinematic and other properties. In this paper, we discuss the basics of MVA, its application and performance, in examples of several Higgs analyses done in our group using full simulation of the CLIC data. C3 - Proceedings of Science T1 - Application of Multivariate Analysis in Separation of Higgs Boson Signal at future e+e- colliders VL - 427 SP - 193246 DO - 10.22323/1.427.0101 ER -
@conference{ author = "Vidaković, Ivana and Radulović, Mirko and Stevanović, Jasna and Kačarević, Goran", year = "2023", abstract = "Even though the environment at future e+e- colliders is practically QCD background free, there is a large number of processes with high cross-sections and/or similar topology as the Higgs signal of interest. Maximization of the achievable precision of measurements in the Higgs sector and beyond calls for optimized event selection with respect to the statistical significance. This is where the Multivariate Analysis (MVA) is employed, separating the signal from numerous backgrounds on the basis of their kinematic and other properties. In this paper, we discuss the basics of MVA, its application and performance, in examples of several Higgs analyses done in our group using full simulation of the CLIC data.", journal = "Proceedings of Science", title = "Application of Multivariate Analysis in Separation of Higgs Boson Signal at future e+e- colliders", volume = "427", pages = "193246", doi = "10.22323/1.427.0101" }
Vidaković, I., Radulović, M., Stevanović, J.,& Kačarević, G.. (2023). Application of Multivariate Analysis in Separation of Higgs Boson Signal at future e+e- colliders. in Proceedings of Science, 427, 193246. https://doi.org/10.22323/1.427.0101
Vidaković I, Radulović M, Stevanović J, Kačarević G. Application of Multivariate Analysis in Separation of Higgs Boson Signal at future e+e- colliders. in Proceedings of Science. 2023;427:193246. doi:10.22323/1.427.0101 .
Vidaković, Ivana, Radulović, Mirko, Stevanović, Jasna, Kačarević, Goran, "Application of Multivariate Analysis in Separation of Higgs Boson Signal at future e+e- colliders" in Proceedings of Science, 427 (2023):193246, https://doi.org/10.22323/1.427.0101 . .