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Cited article:

Generative unfolding with distribution mapping

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SciPost Physics 18 (6) (2025)
https://doi.org/10.21468/SciPostPhys.18.6.200

The landscape of unfolding with machine learning

Nathan Huetsch, Javier Mariño Villadamigo, Alexander Shmakov, Sascha Diefenbacher, Vinicius Mikuni, Theo Heimel, Michael James Fenton, Kevin Thomas Greif, Benjamin Nachman, Daniel Whiteson, Anja Butter and Tilman Plehn
SciPost Physics 18 (2) (2025)
https://doi.org/10.21468/SciPostPhys.18.2.070

A new method for obtaining a Born cross section using visible cross section data from e+e− colliders

S. S. Gribanov and A. S. Popov
Journal of High Energy Physics 2021 (11) (2021)
https://doi.org/10.1007/JHEP11(2021)203

Measurement of the velocity of neutral fragments by the “correlated ion and neutral time of flight” method combined with “velocity-map imaging”

F. Berthias, L. Feketeová, R. Della Negra, T. Dupasquier, R. Fillol, H. Abdoul-Carime, B. Farizon, M. Farizon and T. D. Märk
Review of Scientific Instruments 88 (8) (2017)
https://doi.org/10.1063/1.4991828