# Bayesian Monte Carlo Method for Nuclear Data Evaluation

## Abstract

A Bayesian Monte Carlo method is outlined which allows a systematic evaluation of nuclear reactions using TALYS. The result will be either an EXFOR-weighted covariance matrix or a collection of random files, each accompanied by an experiment based weight.

- Authors:

- Publication Date:

- OSTI Identifier:
- 22436784

- Resource Type:
- Journal Article

- Resource Relation:
- Journal Name: Nuclear Data Sheets; Journal Volume: 123; Conference: International workshop on nuclear data covariances, Santa Fe, NM (United States), 28 Apr - 1 May 2014; Other Information: Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)

- Country of Publication:
- United States

- Language:
- English

- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; DATA COVARIANCES; EVALUATION; MONTE CARLO METHOD; NUCLEAR DATA COLLECTIONS; NUCLEAR REACTIONS; RANDOMNESS

### Citation Formats

```
Koning, A.J., E-mail: koning@nrg.eu.
```*Bayesian Monte Carlo Method for Nuclear Data Evaluation*. United States: N. p., 2015.
Web. doi:10.1016/J.NDS.2014.12.036.

```
Koning, A.J., E-mail: koning@nrg.eu.
```*Bayesian Monte Carlo Method for Nuclear Data Evaluation*. United States. doi:10.1016/J.NDS.2014.12.036.

```
Koning, A.J., E-mail: koning@nrg.eu. Thu .
"Bayesian Monte Carlo Method for Nuclear Data Evaluation". United States.
doi:10.1016/J.NDS.2014.12.036.
```

```
@article{osti_22436784,
```

title = {Bayesian Monte Carlo Method for Nuclear Data Evaluation},

author = {Koning, A.J., E-mail: koning@nrg.eu},

abstractNote = {A Bayesian Monte Carlo method is outlined which allows a systematic evaluation of nuclear reactions using TALYS. The result will be either an EXFOR-weighted covariance matrix or a collection of random files, each accompanied by an experiment based weight.},

doi = {10.1016/J.NDS.2014.12.036},

journal = {Nuclear Data Sheets},

number = ,

volume = 123,

place = {United States},

year = {Thu Jan 15 00:00:00 EST 2015},

month = {Thu Jan 15 00:00:00 EST 2015}

}

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