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20062016
most citedMOCABA: a general Monte Carlo-Bayes procedure for improved predictions of integral functions of nuclear data

65 citations · 193 across the 5 of their papers we have counts for

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Showing 2014Show all

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nucl-th2014★ 65 cited

MOCABA: a general Monte Carlo-Bayes procedure for improved predictions of integral functions of nuclear data

Axel Hoefer, Oliver Buss, Maik Hennebach +2

MOCABA is a combination of Monte Carlo sampling and Bayesian updating algorithms for the prediction of integral functions of nuclear data, such as reactor power distributions or ne…

nucl-ex2014★ 48 cited

Hadronic shift in pionic hydrogen

M. Hennebach, D. F. Anagnostopoulos, A. Dax +12

The hadronic shift in pionic hydrogen has been redetermined to be \,eV by X-ray spectroscopy of ground state transitions applying v…