https://doi.org/10.1051/epjconf/202022501003
Energy calibration via correlation using an adaptive mesh refinement
*
AIM, CEA, CNRS, Université Paris-Saclay – Université Paris Diderot Sorbonne Paris Cité –
F-91191
Gif-sur-Yvette Cedex,
France
†
École des Ponts ParisTech –
77420
Champs-sur-Marne,
France
Email: daniel.maier@cea.fr
Published online: 20 January 2020
Energy calibration via correlation has proven to be a powerful calibration method especially in the case of calibration data sets with low counting statistics. This work reports on an evolved version of this approach that uses an adaptive mesh refinement to sample the parameter space which results in the same calibration performance but in a considerably reduced computation time.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
