Energy calibration via correlation using an adaptive mesh refinement

被引：2

作者：

Maier, Daniel ^{[1
]}

Limousin, Olivier ^{[1
]}

Daniel, Geoffrey ^{[1
,2
]}

机构：

[1] Univ Paris Diderot, Univ Paris Saclay, Sorbonne Paris Cite, CNRS,CEA,AIM, F-91191 Gif Sur Yvette, France

[2] Ecole Ponts ParisTech, F-77420 Champs Sur Marne, France

来源：

ADVANCEMENTS IN NUCLEAR INSTRUMENTATION MEASUREMENT METHODS AND THEIR APPLICATIONS (ANIMMA 2019) | 2020年 / 225卷

关键词：

D O I：

10.1051/epjconf/202022501003

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

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.

引用

页数：4

共 4 条

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