Examples of Monte Carlo techniques applied for nuclear data uncertainty propagation
نویسندگان
چکیده
منابع مشابه
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Because of the measurement errors, the result ỹ = f(x̃1, . . . , x̃n) of processing the measurement results x̃1, . . . , x̃n is, in general, different from the value y = f(x1, . . . , xn) that we would obtain if we knew the exact values x1, . . . , xn of all the inputs. In the linearized case, we can use numerical differentiation to estimate the resulting difference ∆y = ỹ− y; however, this require...
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ژورنال
عنوان ژورنال: EPJ Web of Conferences
سال: 2019
ISSN: 2100-014X
DOI: 10.1051/epjconf/201921107008