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19 April 2024 |
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Article overview
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GEANT4 Parameter Tuning Using Professor | V. Elvira
; L. Fields
; K. L. Genser
; R. Hatcher
; V. Ivanchenko
; M. Kelsey
; T. Koi
; G. N. Perdue
; A. Ribon
; V. Uzhinsky
; D. H. Wright
; J. Yarba
; S. Y. Jun
; | Date: |
14 Oct 2019 | Abstract: | The Geant4 toolkit is used extensively in high energy physics to simulate the
passage of particles through matter and to predict effects such as detector
efficiencies and smearing. Geant4 uses many underlying models to predict
particle interaction kinematics, and uncertainty in these models leads to
uncertainty in high energy physics measurements. The Geant4 collaboration
recently made free parameters in some models accessible through partnership
with Geant4 developers. We present a study of the impact of varying parameters
in three Geant4 hadronic physics models on agreement with thin target datasets
and describe fits to these datasets using the Professor model tuning framework.
We find that varying parameters produces substantially better agreement with
some datasets, but that more degrees of freedom are required for full
agreement. This work is a first step towards a common framework for propagating
uncertainties in Geant4 models to high energy physics measurements, and we
outline future work required to complete that goal. | Source: | arXiv, 1910.6417 | Services: | Forum | Review | PDF | Favorites |
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