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RIS citation export for WEPTS072: Application of Bayesian Inference in Accelerator Commissioning of FRIB

TY  - CONF
AU  - Hao, Y.
AU  - Neufcourt, L.M.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - Application of Bayesian Inference in Accelerator Commissioning of FRIB
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - We will report the preliminary application of the Bayesian Inference of the unknown parameters of accelerator model using the FRIB commissioning data. The inference result not only indicates the value of the unknown parameter, but also the confidence of adopting the value. The Bayesian approach provides an alternative method to understand the difference between accelerator model and the hardware and may help achieving ultimate beam parameters of FRIB.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 3289
EP  - 3292
KW  - diagnostics
KW  - MMI
KW  - emittance
KW  - experiment
KW  - coupling
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-WEPTS072
UR  - http://jacow.org/ipac2019/papers/wepts072.pdf
ER  -