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Consultants Meeting on Neutron Data Standards


12-16 October 2020, IAEA Headquarters, Vienna, Austria (virtual meeting)

Agenda

The Agenda is available here.

Summary Report

The summary report is available as INDC(NDS)-0820.

Presentations

#AuthorTitleLink
1A. CarlsonRecent Work on Neutron StandardsPDF
2Z. Chen6Li(n,t) R matrix fit of the CSNS Back n data with RAC codePDF
3P. Finocchiaro235U(n,f) cross section from thermal to 170 keVPDF
4G. HaleRecent LANL Work on Reactions in the 7Li SystemPDF
5M. ParisEDA R-matrix evaluations of NN and 17O systemsPDF
6T.N. Massey11B Compound Nucleus Reactions:10B(n,Z) ReactionsPDF
7S. SimakovReference prompt discrete γ-ray production and high energy fission cross sectionsPDF
8E. PirovanoMeasurement of 235U(n,f) relative to 1H(n,n) in the energy range from 30 to 150 MeV at n_TOFPDF
9L. SnyderFissionTPC Cross Section Ratio ResultsPDF
10P. Mumm6Li(n,t) and 235U(n,f) sub-thermal measurementsPDF
11Y. DanonRPI measurements related to standardsPDF
12J. VanhoyCarbon scattering cross sectionPDF
13G. NoguereMultigroup evaluation of the 235U(n,f), 238U(n,γ), 238U (n,f) and 239Pu(n,f) cross sections with the CONRAD code by using the GMA database: preliminary resultsPDF
14R. ReifarthReview of gold capture dataPDF
15J. Praena197Au(n,g) 30 keV MaxwellianPDF
16I. DuranOn the thermal and integral standards for neutron induced fission on major actinidesPDF
17P. Schillebeeckx238U(n,γ) and 197Au(n,γ) cross sectionsPDF
18A. WallnerSACS in U5 PFNS of Al(n,2n), systematic difference in the AMS vs TOF capture data, U5 capturePDF
19V. PronyaevAd hoc approach for construction of USU covariances for GMA fitPDF
20S. BadikovExperimental Data with Prescribed Statistical UncertaintiesPDF
21D. NeudeckerUpdating the 239Pu(n,f) covariances in GMA with templates of expected uncertaintiesPDF
22G. SchnabelPrototype of a new Bayesian evaluation system - development and validationPDF
23D. NeudeckerIdentifying physics reasons for outliers and systematic discrepancies in experimental 239Pu(n,f) cross-section data using machine learning PDF

Web page prepared by L. Vrapcenjak
 Last Updated: 12/16/2021 17:28:52