Theory error bars for nuclei

Event Date:
2020-03-05T14:00:00
2020-03-12T15:00:00
Event Location:
TRIUMF Auditorium
Speaker:
Richard Furnstahl (Ohio State U)
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Event Information:

In the precision era of low-energy nuclear physics it is no longer acceptable that only experimentalists practice robust uncertainty quantification. Theorists must also generate honest error estimates. Bayesian statistics is well-suited for this task, by quantifying the systematic errors from models with guidance from theoretical expectations about omitted physics. Bayesian methods are being developed and applied to calculate and validate error bands for a wide range of nuclear observables, to determine the limits of the nuclear landscape, to help in the design of experiments, and to catalyze physics discovery. I will give a basic overview of the Bayesian approach to theory errors and survey the recent applications.

Add to Calendar 2020-03-05T14:00:00 2020-03-12T15:00:00 Theory error bars for nuclei Event Information: In the precision era of low-energy nuclear physics it is no longer acceptable that only experimentalists practice robust uncertainty quantification. Theorists must also generate honest error estimates. Bayesian statistics is well-suited for this task, by quantifying the systematic errors from models with guidance from theoretical expectations about omitted physics. Bayesian methods are being developed and applied to calculate and validate error bands for a wide range of nuclear observables, to determine the limits of the nuclear landscape, to help in the design of experiments, and to catalyze physics discovery. I will give a basic overview of the Bayesian approach to theory errors and survey the recent applications. Event Location: TRIUMF Auditorium