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Abstract: In this work the LHC inverse problem is quantified in the Bayesian context byclarifying the relation between the mapping from the theory parameter space toexperimental signature space and the inverse map.
We demonstrate that, aftercomplementing the LHC data by existing astrophysical, collider, and low energymeasurements, a simple likelihood analysis is able to significantly reduce theinverse problem.
The presented approach offers a robust, economic, andextendable way to extract theoretical parameters from the LHC, and otherexperimental, data.



Autor: Csaba Balázs, Dilani Kahawala

Fuente: https://arxiv.org/



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